diff --git a/API_StableDiffusion.py b/API_StableDiffusion.py new file mode 100644 index 0000000..86e663a --- /dev/null +++ b/API_StableDiffusion.py @@ -0,0 +1,115 @@ +import os +import time +import requests +from PIL import Image +import numpy as np +import torch +import base64 + +class APIGenerateStability: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "api_key": ("STRING", { + "multiline": False, + "default": "" + }), + "prompt": ("STRING", { + "multiline": True, + "default": "A beautiful landscape" + }), + }, + "optional": { + "negative_prompt": ("STRING", { + "multiline": True, + "default": "" + }), + "aspect_ratio": (["16:9", "1:1", "21:9", "2:3", "3:2", "4:5", "5:4", "9:16", "9:21"], { + "default": "1:1" + }), + "seed": ("INT", { + "default": 0, + "min": 0, + "max": 4294967294 + }), + "output_format": (["jpeg", "png", "webp"], { + "default": "png" + }), + "strength": ("FLOAT", { + "default": 1.0, + "min": 0.0, + "max": 1.0, + "step": 0.01 + }), + } + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def get_next_number(self): + save_dir = "output/API/Stability" + os.makedirs(save_dir, exist_ok=True) + files = [f for f in os.listdir(save_dir) if f.endswith(('.webp', '.png', '.jpeg'))] + if not files: + return 1 + numbers = [int(f.split('.')[0]) for f in files] + return max(numbers) + 1 + + def generate(self, api_key, prompt, negative_prompt="", aspect_ratio="1:1", + seed=0, output_format="png", strength=1.0): + + headers = { + "Authorization": f"Bearer {api_key}", + "Accept": "image/*" + } + + # Prepare the form data + form_data = { + "prompt": prompt, + "output_format": output_format, + "aspect_ratio": aspect_ratio + } + + # Add optional parameters if they're provided + if negative_prompt: + form_data["negative_prompt"] = negative_prompt + if seed != 0: + form_data["seed"] = seed + if strength != 1.0: + form_data["strength"] = strength + + # Include a placeholder in the 'files' argument to trigger multipart/form-data + files = {"placeholder": ("filename", b"")} + + # Make the API request + response = requests.post( + "https://api.stability.ai/v2beta/stable-image/generate/ultra", + headers=headers, + files=files, + data=form_data + ) + + if response.status_code == 200: + next_num = self.get_next_number() + filename = f"{next_num:03d}.{output_format}" + filepath = os.path.join("output/API/Stability", filename) + + # Save the image + with open(filepath, 'wb') as file: + file.write(response.content) + + # Load and process the image for ComfyUI + img = Image.open(filepath) + if img.mode != 'RGB': + img = img.convert('RGB') + + # Convert to tensor format expected by ComfyUI + img_tensor = torch.from_numpy(np.array(img).astype(np.float32) / 255.0) + img_tensor = img_tensor.unsqueeze(0) + + return (img_tensor,) + else: + raise Exception(str(response.json())) diff --git a/API_civitai.py b/API_civitai.py new file mode 100644 index 0000000..e1973c4 --- /dev/null +++ b/API_civitai.py @@ -0,0 +1,1657 @@ +import os +import time +import requests +from PIL import Image, ImageSequence, ImageOps +import numpy as np +import torch +from io import BytesIO +import json +import threading +import random +import importlib +import folder_paths +import node_helpers +import hashlib +import shutil +import wget +from folder_paths import get_filename_list, get_full_path, models_dir +import nodes + +# Register the new checkpoint folder +bjornulf_checkpoint_path = os.path.join(folder_paths.models_dir, "checkpoints", "Bjornulf_civitAI") +os.makedirs(bjornulf_checkpoint_path, exist_ok=True) + +# Convert tuple to list, append new path, and convert back to tuple +checkpoint_folders = list(folder_paths.folder_names_and_paths["checkpoints"]) +checkpoint_folders.append(bjornulf_checkpoint_path) +folder_paths.folder_names_and_paths["checkpoints"] = tuple(checkpoint_folders) + +# Prepare Models +custom_nodes_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(__file__)))) +civitai_base_path = os.path.join(custom_nodes_dir, "ComfyUI", "custom_nodes", "Bjornulf_custom_nodes", "civitai") +parsed_models_path = civitai_base_path + +# Define image folders +image_folders = { + "sdxl_1.0": os.path.join(civitai_base_path, "sdxl_1.0"), + "sd_1.5": os.path.join(civitai_base_path, "sd_1.5"), + "pony": os.path.join(civitai_base_path, "pony"), + "flux.1_d": os.path.join(civitai_base_path, "flux.1_d"), + "flux.1_s": os.path.join(civitai_base_path, "flux.1_s"), + "lora_sdxl_1.0": os.path.join(civitai_base_path, "lora_sdxl_1.0"), + "lora_sd_1.5": os.path.join(civitai_base_path, "lora_sd_1.5"), + "lora_pony": os.path.join(civitai_base_path, "lora_pony"), + "lora_flux.1_d": os.path.join(civitai_base_path, "lora_flux.1_d") +} + +# Add folder paths for each image folder +for folder_name, folder_path in image_folders.items(): + folder_paths.add_model_folder_path(folder_name, folder_path) + + # Create target paths in input directory + target_path = os.path.join('input', folder_name) + + # Create link if it doesn't exist + if not os.path.exists(target_path): + try: + if os.name == 'nt': # Windows + os.system(f'mklink /J "{target_path}" "{folder_path}"') + else: # Unix-like + os.symlink(folder_path, target_path) + print(f"Successfully created link from {folder_path} to {target_path}") + except OSError as e: + print(f"Failed to create link: {e}") + +# Prepare Loras +# lora_images_path = os.path.join(custom_nodes_dir, "ComfyUI", "custom_nodes", "Bjornulf_custom_nodes", "civitai", "lora_images") +# folder_paths.add_model_folder_path("lora_images", lora_images_path) +# target_lora_path = os.path.join('input', 'lora_images') +# # Create link if it doesn't exist +# if not os.path.exists(target_lora_path): +# try: +# if os.name == 'nt': # Windows +# os.system(f'mklink /J "{target_lora_path}" "{lora_images_path}"') +# else: # Unix-like +# os.symlink(lora_images_path, target_lora_path) +# print(f"Successfully created link from {lora_images_path} to {target_lora_path}") +# except OSError as e: +# print(f"Failed to create link: {e}") + +def get_civitai(): + import civitai + importlib.reload(civitai) + return civitai + +# Check if the environment variable exists +if "CIVITAI_API_TOKEN" not in os.environ: + os.environ["CIVITAI_API_TOKEN"] = "d5fc336223a367e6b503a14a10569825" +else: + print("CIVITAI_API_TOKEN already exists in the environment.") +import civitai + +class APIGenerateCivitAI: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "api_token": ("STRING", { + "multiline": False, + "default": "", + "placeholder": "Enter your CivitAI API token here" + }), + "model_urn": ("STRING", { + "multiline": False, + "default": "urn:air:sdxl:checkpoint:civitai:133005@782002" + }), + "prompt": ("STRING", { + "multiline": True, + "default": "RAW photo, face portrait photo of 26 y.o woman" + }), + "negative_prompt": ("STRING", { + "multiline": True, + "default": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime)" + }), + "width": ("INT", { + "default": 1024, + "min": 128, + "max": 1024, + "step": 64 + }), + "height": ("INT", { + "default": 768, + "min": 128, + "max": 1024, + "step": 64 + }), + "steps": ("INT", { + "default": 20, + "min": 1, + "max": 50, + "step": 1 + }), + "cfg_scale": ("FLOAT", { + "default": 7.0, + "min": 1.0, + "max": 30.0, + "step": 0.1 + }), + "seed": ("INT", { + "default": -1, + "min": -1, + "max": 0x7FFFFFFFFFFFFFFF + }), + "number_of_images": ("INT", { + "default": 1, + "min": 1, + "max": 10, + "step": 1 + }), + "timeout": ("INT", { + "default": 300, + "min": 60, + "max": 1800, + "step": 60, + "display": "Timeout (seconds)" + }), + }, + "optional":{ + "add_LORA": ("add_LORA", {"forceInput": True}), + } + } + + RETURN_TYPES = ("IMAGE", "STRING",) + RETURN_NAMES = ("image", "generation_info",) + FUNCTION = "generate" + CATEGORY = "Civitai" + + def __init__(self): + self.output_dir = "output/API/CivitAI" + self.metadata_dir = "output/API/CivitAI/metadata" + os.makedirs(self.output_dir, exist_ok=True) + os.makedirs(self.metadata_dir, exist_ok=True) + self._interrupt_event = threading.Event() + + + def get_next_number(self): + """Get the next available number for file naming""" + files = [f for f in os.listdir(self.output_dir) if f.endswith('.png')] + if not files: + return 1 + numbers = [int(f.split('.')[0]) for f in files] + return max(numbers) + 1 + + def check_job_status(self, job_token, job_id, timeout=9999): + """Check job status with timeout""" + start_time = time.time() + while time.time() - start_time < timeout and not self._interrupt_event.is_set(): + try: + response = civitai.jobs.get(token=job_token) + job_status = response['jobs'][0] + + if job_status.get('status') == 'failed': + raise Exception(f"Job failed: {job_status.get('error', 'Unknown error')}") + + if job_status['result'].get('available'): + return job_status['result'].get('blobUrl') + + print(f"Job Status: {job_status['status']}") + time.sleep(2) + + except Exception as e: + print(f"Error checking job status: {str(e)}") + time.sleep(2) + + # Check for interruption + if self._interrupt_event.is_set(): + raise InterruptedError("Generation interrupted by user") + + if self._interrupt_event.is_set(): + raise InterruptedError("Generation interrupted by user") + raise TimeoutError(f"Job timed out after {timeout} seconds") + + def save_image_and_metadata(self, img, generation_info, number): + """Save both image and its metadata""" + # Save image + filename = f"{number:04d}.png" + filepath = os.path.join(self.output_dir, filename) + img.save(filepath) + + # Save metadata + metadata_filename = f"{number:04d}_metadata.json" + metadata_filepath = os.path.join(self.metadata_dir, metadata_filename) + with open(metadata_filepath, 'w') as f: + json.dump(generation_info, f, indent=4) + + return filepath, metadata_filepath + + def format_generation_info(self, input_data, job_token, job_id, image_url): + """Format generation information for recovery""" + recovery_info = { + "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"), + "generation_parameters": input_data, + "job_details": { + "token": job_token, + "job_id": job_id, + "image_url": image_url + }, + "recovery_command": f"curl -X GET '{image_url}' --output recovered_image.png", + "recovery_instructions": """ +To recover this image: +1. Use the provided curl command to download the image +2. Or use the image_url directly in a browser +3. If the image is no longer available, you can retry generation with the same parameters + """ + } + return recovery_info + + def generate_single_image(self, input_data, job_token, job_id, timeout): + """Generate a single image and return its tensor and info""" + try: + image_url = self.check_job_status(job_token, job_id, timeout) + if not image_url: + raise ValueError("No image URL received") + + image_response = requests.get(image_url) + if image_response.status_code != 200: + raise ConnectionError(f"Failed to download image: Status code {image_response.status_code}") + + img = Image.open(BytesIO(image_response.content)) + if img.mode != 'RGB': + img = img.convert('RGB') + + number = self.get_next_number() + generation_info = self.format_generation_info(input_data, job_token, job_id, image_url) + image_path, metadata_path = self.save_image_and_metadata(img, generation_info, number) + + img_tensor = torch.from_numpy(np.array(img).astype(np.float32) / 255.0) + img_tensor = img_tensor.unsqueeze(0) + + return img_tensor, generation_info + + except Exception as e: + raise Exception(f"Error generating single image: {str(e)}") + + + def generate(self, api_token, prompt, negative_prompt, width, height, model_urn, steps=20, + cfg_scale=7.0, seed=-1, number_of_images=1, timeout=300, add_LORA=""): + + # Set the environment variable + if api_token: + os.environ["CIVITAI_API_TOKEN"] = api_token + # Get a fresh instance of civitai with the new token + civitai = get_civitai() + + self._interrupt_event.clear() + empty_image = torch.zeros((1, height, width, 3)) + + try: + # Handle seed + if seed == -1: + seed = random.randint(0, 0x7FFFFFFFFFFFFFFF) + + # Prepare jobs list + jobs = [] + generation_tasks = [] + + for i in range(number_of_images): + current_seed = seed + i + input_data = { + "model": model_urn, + "params": { + "prompt": prompt, + "negativePrompt": negative_prompt, + "scheduler": "EulerA", + "steps": steps, + "cfgScale": cfg_scale, + "width": width, + "height": height, + "clipSkip": 2, + "seed": current_seed + } + } + + # Handle add_LORA input if provided + if add_LORA: + try: + lora_data = json.loads(add_LORA) + if "additionalNetworks" in lora_data: + input_data["additionalNetworks"] = lora_data["additionalNetworks"] + except Exception as e: + print(f"Error processing LORA data: {str(e)}") + + # Create generation job + response = civitai.image.create(input_data) + if not response or 'token' not in response or 'jobs' not in response: + raise ValueError("Invalid response from Civitai API") + + jobs.append({ + 'token': response['token'], + 'job_id': response['jobs'][0]['jobId'], + 'input_data': input_data + }) + + # Process all jobs in parallel + images = [] + infos = [] + failed_jobs = [] + + for job in jobs: + try: + img_tensor, generation_info = self.generate_single_image( + job['input_data'], + job['token'], + job['job_id'], + timeout + ) + images.append(img_tensor) + infos.append(generation_info) + except Exception as e: + failed_jobs.append({ + 'job': job, + 'error': str(e) + }) + + if not images: # If all jobs failed + generation_info = { + "error": "All generation jobs failed", + "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"), + "failed_jobs": failed_jobs + } + return (empty_image, json.dumps(generation_info, indent=2)) + + # Combine images into a batch + combined_tensor = torch.cat(images, dim=0) + + # Combine generation info + combined_info = { + "successful_generations": len(images), + "total_requested": number_of_images, + "base_seed": seed, + "generation_parameters": jobs[0]['input_data'], + "individual_results": infos, + "failed_jobs": failed_jobs if failed_jobs else None + } + + return (combined_tensor, json.dumps(combined_info, indent=2)) + + except InterruptedError: + generation_info = { + "error": "Generation interrupted by user", + "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"), + "base_seed": seed + } + return (empty_image, json.dumps(generation_info, indent=2)) + + except Exception as e: + generation_info = { + "error": f"Civitai generation failed: {str(e)}", + "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"), + "base_seed": seed if 'seed' in locals() else None + } + return (empty_image, json.dumps(generation_info, indent=2)) + + @classmethod + def IS_CHANGED(cls, **kwargs): + return float("NaN") + + def interrupt(self): + """Method to handle interruption""" + print("Interrupting CivitAI generation...") + self._interrupt_event.set() + +class APIGenerateCivitAIAddLORA: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "lora_urn": ("STRING", { + "multiline": False, + "default": "urn:air:flux1:lora:civitai:790034@883473" + }), + "strength": ("FLOAT", { + "default": 1.0, + "min": 0.0, + "max": 2.0, + "step": 0.01 + }), + }, + "optional": { + "add_LORA": ("add_LORA", {"forceInput": True}), + } + } + + RETURN_TYPES = ("add_LORA",) + FUNCTION = "add_lora" + CATEGORY = "Civitai" + + def add_lora(self, lora_urn, strength, add_LORA=None): + try: + request_data = {"additionalNetworks": {}} + + # Add the new LORA + request_data["additionalNetworks"][lora_urn] = { + "type": "Lora", + "strength": strength + } + + # If add_LORA is provided, concatenate it + if add_LORA: + additional_loras = json.loads(add_LORA) + if "additionalNetworks" in additional_loras: + request_data["additionalNetworks"].update(additional_loras["additionalNetworks"]) + + return (json.dumps(request_data),) + except Exception as e: + print(f"Error adding LORA: {str(e)}") + return (json.dumps({"additionalNetworks": {}}),) + +class CivitAIModelSelectorSD15: + @classmethod + def INPUT_TYPES(s): + # Get list of supported image extensions + image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp') + files = [f"sd_1.5/{f}" for f in folder_paths.get_filename_list("sd_1.5") + if f.lower().endswith(image_extensions)] + + if not files: # If no files found, provide a default option + files = ["none"] + + return { + "required": { + "image": (sorted(files), {"image_upload": True}), + "civitai_token": ("STRING", {"default": ""}) + }, + } + + RETURN_TYPES = ("MODEL", "CLIP", "VAE", "STRING", "STRING") + RETURN_NAMES = ("model", "clip", "vae", "name", "civitai_url") + FUNCTION = "load_model" + CATEGORY = "Bjornulf" + + def load_model(self, image, civitai_token): + def download_file(url, destination_path, model_name, api_token=None): + """ + Download file with proper authentication headers and simple progress bar. + """ + filename = f"{model_name}.safetensors" + file_path = os.path.join(destination_path, filename) + + headers = {} + if api_token: + headers['Authorization'] = f'Bearer {api_token}' + + try: + print(f"Downloading from: {url}") + response = requests.get(url, headers=headers, stream=True) + response.raise_for_status() + + # Get file size if available + file_size = int(response.headers.get('content-length', 0)) + block_size = 8192 + downloaded = 0 + + with open(file_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=block_size): + if chunk: + f.write(chunk) + downloaded += len(chunk) + + # Calculate progress + if file_size > 0: + progress = int(50 * downloaded / file_size) + bars = '=' * progress + '-' * (50 - progress) + percent = (downloaded / file_size) * 100 + print(f'\rProgress: [{bars}] {percent:.1f}%', end='') + + print(f"\nFile downloaded successfully to: {file_path}") + return file_path + + except requests.exceptions.RequestException as e: + print(f"Error downloading file: {e}") + raise + + if image == "none": + raise ValueError("No image selected") + + # Get the absolute path to the JSON file + json_path = os.path.join(parsed_models_path, 'parsed_sd_1.5_models.json') + + # Load models info + with open(json_path, 'r') as f: + models_info = json.load(f) + + # Extract model name from image path + image_name = os.path.basename(image) + # Find corresponding model info + model_info = next((model for model in models_info + if os.path.basename(model['image_path']) == image_name), None) + + if not model_info: + raise ValueError(f"No model information found for image: {image_name}") + + # Create checkpoints directory if it doesn't exist + checkpoint_dir = os.path.join(folder_paths.models_dir, "checkpoints", "Bjornulf_civitAI", "sd1.5") + os.makedirs(checkpoint_dir, exist_ok=True) + + # Expected model filename + model_filename = f"{model_info['name']}.safetensors" + full_model_path = os.path.join(checkpoint_dir, model_filename) + + # Check if model is already downloaded + if not os.path.exists(full_model_path): + print(f"Downloading model {model_info['name']}...") + + # Construct download URL with token + download_url = model_info['download_url'] + if civitai_token: + download_url += f"?token={civitai_token}" if '?' not in download_url else f"&token={civitai_token}" + + try: + # Download the file using class method + download_file(download_url, checkpoint_dir, model_info['name'], civitai_token) + except Exception as e: + raise ValueError(f"Failed to download model: {e}") + + # Get relative path + relative_model_path = os.path.join("Bjornulf_civitAI", "sd1.5", model_filename) + + # Try loading with relative path first + try: + model = nodes.CheckpointLoaderSimple().load_checkpoint(relative_model_path) + except Exception as e: + print(f"Error loading model with relative path: {e}") + print(f"Attempting to load from full path: {full_model_path}") + # Fallback to direct loading if needed + from comfy.sd import load_checkpoint_guess_config + model = load_checkpoint_guess_config(full_model_path) + + return (model[0], model[1], model[2], model_info['name'], f"https://civitai.com/models/{model_info['model_id']}") + + @classmethod + def IS_CHANGED(s, image): + if image == "none": + return "" + image_path = os.path.join(civitai_base_path, image) + if not os.path.exists(image_path): + return "" + + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + m.update(image.encode('utf-8')) + return m.digest().hex() + + +class CivitAIModelSelectorSDXL: + @classmethod + def INPUT_TYPES(s): + # Get list of supported image extensions + image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp') + files = [f"sdxl_1.0/{f}" for f in folder_paths.get_filename_list("sdxl_1.0") + if f.lower().endswith(image_extensions)] + + if not files: # If no files found, provide a default option + files = ["none"] + + return { + "required": { + "image": (sorted(files), {"image_upload": True}), + "civitai_token": ("STRING", {"default": ""}) + }, + } + + RETURN_TYPES = ("MODEL", "CLIP", "VAE", "STRING", "STRING") + RETURN_NAMES = ("model", "clip", "vae", "name", "civitai_url") + FUNCTION = "load_model" + CATEGORY = "Bjornulf" + + def load_model(self, image, civitai_token): + def download_file(url, destination_path, model_name, api_token=None): + """ + Download file with proper authentication headers and simple progress bar. + """ + filename = f"{model_name}.safetensors" + file_path = os.path.join(destination_path, filename) + + headers = {} + if api_token: + headers['Authorization'] = f'Bearer {api_token}' + + try: + print(f"Downloading from: {url}") + response = requests.get(url, headers=headers, stream=True) + response.raise_for_status() + + # Get file size if available + file_size = int(response.headers.get('content-length', 0)) + block_size = 8192 + downloaded = 0 + + with open(file_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=block_size): + if chunk: + f.write(chunk) + downloaded += len(chunk) + + # Calculate progress + if file_size > 0: + progress = int(50 * downloaded / file_size) + bars = '=' * progress + '-' * (50 - progress) + percent = (downloaded / file_size) * 100 + print(f'\rProgress: [{bars}] {percent:.1f}%', end='') + + print(f"\nFile downloaded successfully to: {file_path}") + return file_path + + except requests.exceptions.RequestException as e: + print(f"Error downloading file: {e}") + raise + + if image == "none": + raise ValueError("No image selected") + + # Get the absolute path to the JSON file + json_path = os.path.join(parsed_models_path, 'parsed_sdxl_1.0_models.json') + + # Load models info + with open(json_path, 'r') as f: + models_info = json.load(f) + + # Extract model name from image path + image_name = os.path.basename(image) + # Find corresponding model info + model_info = next((model for model in models_info + if os.path.basename(model['image_path']) == image_name), None) + + if not model_info: + raise ValueError(f"No model information found for image: {image_name}") + + # Create checkpoints directory if it doesn't exist + checkpoint_dir = os.path.join(folder_paths.models_dir, "checkpoints", "Bjornulf_civitAI", "sdxl_1.0") + os.makedirs(checkpoint_dir, exist_ok=True) + + # Expected model filename + model_filename = f"{model_info['name']}.safetensors" + full_model_path = os.path.join(checkpoint_dir, model_filename) + + # Check if model is already downloaded + if not os.path.exists(full_model_path): + print(f"Downloading model {model_info['name']}...") + + # Construct download URL with token + download_url = model_info['download_url'] + if civitai_token: + download_url += f"?token={civitai_token}" if '?' not in download_url else f"&token={civitai_token}" + + try: + # Download the file using class method + download_file(download_url, checkpoint_dir, model_info['name'], civitai_token) + except Exception as e: + raise ValueError(f"Failed to download model: {e}") + + # Get relative path + relative_model_path = os.path.join("Bjornulf_civitAI", "sdxl_1.0", model_filename) + + # Try loading with relative path first + try: + model = nodes.CheckpointLoaderSimple().load_checkpoint(relative_model_path) + except Exception as e: + print(f"Error loading model with relative path: {e}") + print(f"Attempting to load from full path: {full_model_path}") + # Fallback to direct loading if needed + from comfy.sd import load_checkpoint_guess_config + model = load_checkpoint_guess_config(full_model_path) + + # return (model[0], model[1], model[2], model_info['name'], model_info['download_url']) + return (model[0], model[1], model[2], model_info['name'], f"https://civitai.com/models/{model_info['model_id']}") + + @classmethod + def IS_CHANGED(s, image): + if image == "none": + return "" + image_path = os.path.join(civitai_base_path, image) + if not os.path.exists(image_path): + return "" + + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + m.update(image.encode('utf-8')) + return m.digest().hex() + +class CivitAIModelSelectorFLUX_D: + @classmethod + def INPUT_TYPES(s): + # Get list of supported image extensions + image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp') + files = [f"flux.1_d/{f}" for f in folder_paths.get_filename_list("flux.1_d") + if f.lower().endswith(image_extensions)] + + if not files: # If no files found, provide a default option + files = ["none"] + + return { + "required": { + "image": (sorted(files), {"image_upload": True}), + "civitai_token": ("STRING", {"default": ""}) + }, + } + + RETURN_TYPES = ("MODEL", "CLIP", "VAE", "STRING", "STRING") + RETURN_NAMES = ("model", "clip", "vae", "name", "civitai_url") + FUNCTION = "load_model" + CATEGORY = "Bjornulf" + + def load_model(self, image, civitai_token): + def download_file(url, destination_path, model_name, api_token=None): + """ + Download file with proper authentication headers and simple progress bar. + """ + filename = f"{model_name}.safetensors" + file_path = os.path.join(destination_path, filename) + + headers = {} + if api_token: + headers['Authorization'] = f'Bearer {api_token}' + + try: + print(f"Downloading from: {url}") + response = requests.get(url, headers=headers, stream=True) + response.raise_for_status() + + # Get file size if available + file_size = int(response.headers.get('content-length', 0)) + block_size = 8192 + downloaded = 0 + + with open(file_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=block_size): + if chunk: + f.write(chunk) + downloaded += len(chunk) + + # Calculate progress + if file_size > 0: + progress = int(50 * downloaded / file_size) + bars = '=' * progress + '-' * (50 - progress) + percent = (downloaded / file_size) * 100 + print(f'\rProgress: [{bars}] {percent:.1f}%', end='') + + print(f"\nFile downloaded successfully to: {file_path}") + return file_path + + except requests.exceptions.RequestException as e: + print(f"Error downloading file: {e}") + raise + + if image == "none": + raise ValueError("No image selected") + + # Get the absolute path to the JSON file + json_path = os.path.join(parsed_models_path, 'parsed_flux.1_d_models.json') + + # Load models info + with open(json_path, 'r') as f: + models_info = json.load(f) + + # Extract model name from image path + image_name = os.path.basename(image) + # Find corresponding model info + model_info = next((model for model in models_info + if os.path.basename(model['image_path']) == image_name), None) + + if not model_info: + raise ValueError(f"No model information found for image: {image_name}") + + # Create checkpoints directory if it doesn't exist + checkpoint_dir = os.path.join(folder_paths.models_dir, "checkpoints", "Bjornulf_civitAI", "flux_d") + os.makedirs(checkpoint_dir, exist_ok=True) + + # Expected model filename + model_filename = f"{model_info['name']}.safetensors" + full_model_path = os.path.join(checkpoint_dir, model_filename) + + # Check if model is already downloaded + if not os.path.exists(full_model_path): + print(f"Downloading model {model_info['name']}...") + + # Construct download URL with token + download_url = model_info['download_url'] + if civitai_token: + download_url += f"?token={civitai_token}" if '?' not in download_url else f"&token={civitai_token}" + + try: + # Download the file using class method + download_file(download_url, checkpoint_dir, model_info['name'], civitai_token) + except Exception as e: + raise ValueError(f"Failed to download model: {e}") + + # Get relative path + relative_model_path = os.path.join("Bjornulf_civitAI", "flux_d", model_filename) + + # Try loading with relative path first + try: + model = nodes.CheckpointLoaderSimple().load_checkpoint(relative_model_path) + except Exception as e: + print(f"Error loading model with relative path: {e}") + print(f"Attempting to load from full path: {full_model_path}") + # Fallback to direct loading if needed + from comfy.sd import load_checkpoint_guess_config + model = load_checkpoint_guess_config(full_model_path) + + return (model[0], model[1], model[2], model_info['name'], f"https://civitai.com/models/{model_info['model_id']}") + + @classmethod + def IS_CHANGED(s, image): + if image == "none": + return "" + image_path = os.path.join(civitai_base_path, image) + if not os.path.exists(image_path): + return "" + + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + m.update(image.encode('utf-8')) + return m.digest().hex() + + +class CivitAIModelSelectorFLUX_S: + @classmethod + def INPUT_TYPES(s): + # Get list of supported image extensions + image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp') + files = [f"flux.1_s/{f}" for f in folder_paths.get_filename_list("flux.1_s") + if f.lower().endswith(image_extensions)] + + if not files: # If no files found, provide a default option + files = ["none"] + + return { + "required": { + "image": (sorted(files), {"image_upload": True}), + "civitai_token": ("STRING", {"default": ""}) + }, + } + + RETURN_TYPES = ("MODEL", "CLIP", "VAE", "STRING", "STRING") + RETURN_NAMES = ("model", "clip", "vae", "name", "civitai_url") + FUNCTION = "load_model" + CATEGORY = "Bjornulf" + + def load_model(self, image, civitai_token): + def download_file(url, destination_path, model_name, api_token=None): + """ + Download file with proper authentication headers and simple progress bar. + """ + filename = f"{model_name}.safetensors" + file_path = os.path.join(destination_path, filename) + + headers = {} + if api_token: + headers['Authorization'] = f'Bearer {api_token}' + + try: + print(f"Downloading from: {url}") + response = requests.get(url, headers=headers, stream=True) + response.raise_for_status() + + # Get file size if available + file_size = int(response.headers.get('content-length', 0)) + block_size = 8192 + downloaded = 0 + + with open(file_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=block_size): + if chunk: + f.write(chunk) + downloaded += len(chunk) + + # Calculate progress + if file_size > 0: + progress = int(50 * downloaded / file_size) + bars = '=' * progress + '-' * (50 - progress) + percent = (downloaded / file_size) * 100 + print(f'\rProgress: [{bars}] {percent:.1f}%', end='') + + print(f"\nFile downloaded successfully to: {file_path}") + return file_path + + except requests.exceptions.RequestException as e: + print(f"Error downloading file: {e}") + raise + + if image == "none": + raise ValueError("No image selected") + + # Get the absolute path to the JSON file + json_path = os.path.join(parsed_models_path, 'parsed_flux.1_s_models.json') + + # Load models info + with open(json_path, 'r') as f: + models_info = json.load(f) + + # Extract model name from image path + image_name = os.path.basename(image) + # Find corresponding model info + model_info = next((model for model in models_info + if os.path.basename(model['image_path']) == image_name), None) + + if not model_info: + raise ValueError(f"No model information found for image: {image_name}") + + # Create checkpoints directory if it doesn't exist + checkpoint_dir = os.path.join(folder_paths.models_dir, "checkpoints", "Bjornulf_civitAI", "flux_s") + os.makedirs(checkpoint_dir, exist_ok=True) + + # Expected model filename + model_filename = f"{model_info['name']}.safetensors" + full_model_path = os.path.join(checkpoint_dir, model_filename) + + # Check if model is already downloaded + if not os.path.exists(full_model_path): + print(f"Downloading model {model_info['name']}...") + + # Construct download URL with token + download_url = model_info['download_url'] + if civitai_token: + download_url += f"?token={civitai_token}" if '?' not in download_url else f"&token={civitai_token}" + + try: + # Download the file using class method + download_file(download_url, checkpoint_dir, model_info['name'], civitai_token) + except Exception as e: + raise ValueError(f"Failed to download model: {e}") + + # Get relative path + relative_model_path = os.path.join("Bjornulf_civitAI", "flux_s", model_filename) + + # Try loading with relative path first + try: + model = nodes.CheckpointLoaderSimple().load_checkpoint(relative_model_path) + except Exception as e: + print(f"Error loading model with relative path: {e}") + print(f"Attempting to load from full path: {full_model_path}") + # Fallback to direct loading if needed + from comfy.sd import load_checkpoint_guess_config + model = load_checkpoint_guess_config(full_model_path) + + return (model[0], model[1], model[2], model_info['name'], f"https://civitai.com/models/{model_info['model_id']}") + + @classmethod + def IS_CHANGED(s, image): + if image == "none": + return "" + image_path = os.path.join(civitai_base_path, image) + if not os.path.exists(image_path): + return "" + + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + m.update(image.encode('utf-8')) + return m.digest().hex() + + +class CivitAIModelSelectorPony: + @classmethod + def INPUT_TYPES(s): + # Get list of supported image extensions + image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp') + files = [f"pony/{f}" for f in folder_paths.get_filename_list("pony") + if f.lower().endswith(image_extensions)] + + if not files: # If no files found, provide a default option + files = ["none"] + + return { + "required": { + "image": (sorted(files), {"image_upload": True}), + "civitai_token": ("STRING", {"default": ""}) + }, + } + + RETURN_TYPES = ("MODEL", "CLIP", "VAE", "STRING", "STRING") + RETURN_NAMES = ("model", "clip", "vae", "name", "civitai_url") + FUNCTION = "load_model" + CATEGORY = "Bjornulf" + + def load_model(self, image, civitai_token): + def download_file(url, destination_path, model_name, api_token=None): + """ + Download file with proper authentication headers and simple progress bar. + """ + filename = f"{model_name}.safetensors" + file_path = os.path.join(destination_path, filename) + + headers = {} + if api_token: + headers['Authorization'] = f'Bearer {api_token}' + + try: + print(f"Downloading from: {url}") + response = requests.get(url, headers=headers, stream=True) + response.raise_for_status() + + # Get file size if available + file_size = int(response.headers.get('content-length', 0)) + block_size = 8192 + downloaded = 0 + + with open(file_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=block_size): + if chunk: + f.write(chunk) + downloaded += len(chunk) + + # Calculate progress + if file_size > 0: + progress = int(50 * downloaded / file_size) + bars = '=' * progress + '-' * (50 - progress) + percent = (downloaded / file_size) * 100 + print(f'\rProgress: [{bars}] {percent:.1f}%', end='') + + print(f"\nFile downloaded successfully to: {file_path}") + return file_path + + except requests.exceptions.RequestException as e: + print(f"Error downloading file: {e}") + raise + + if image == "none": + raise ValueError("No image selected") + + # Get the absolute path to the JSON file + json_path = os.path.join(parsed_models_path, 'parsed_pony_models.json') + + # Load models info + with open(json_path, 'r') as f: + models_info = json.load(f) + + # Extract model name from image path + image_name = os.path.basename(image) + # Find corresponding model info + model_info = next((model for model in models_info + if os.path.basename(model['image_path']) == image_name), None) + + if not model_info: + raise ValueError(f"No model information found for image: {image_name}") + + # Create checkpoints directory if it doesn't exist + checkpoint_dir = os.path.join(folder_paths.models_dir, "checkpoints", "Bjornulf_civitAI", "pony") + os.makedirs(checkpoint_dir, exist_ok=True) + + # Expected model filename + model_filename = f"{model_info['name']}.safetensors" + full_model_path = os.path.join(checkpoint_dir, model_filename) + + # Check if model is already downloaded + if not os.path.exists(full_model_path): + print(f"Downloading model {model_info['name']}...") + + # Construct download URL with token + download_url = model_info['download_url'] + if civitai_token: + download_url += f"?token={civitai_token}" if '?' not in download_url else f"&token={civitai_token}" + + try: + # Download the file using class method + download_file(download_url, checkpoint_dir, model_info['name'], civitai_token) + except Exception as e: + raise ValueError(f"Failed to download model: {e}") + + # Get relative path + relative_model_path = os.path.join("Bjornulf_civitAI", "pony", model_filename) + + # Try loading with relative path first + try: + model = nodes.CheckpointLoaderSimple().load_checkpoint(relative_model_path) + except Exception as e: + print(f"Error loading model with relative path: {e}") + print(f"Attempting to load from full path: {full_model_path}") + # Fallback to direct loading if needed + from comfy.sd import load_checkpoint_guess_config + model = load_checkpoint_guess_config(full_model_path) + + return (model[0], model[1], model[2], model_info['name'], f"https://civitai.com/models/{model_info['model_id']}") + + @classmethod + def IS_CHANGED(s, image): + if image == "none": + return "" + image_path = os.path.join(civitai_base_path, image) + if not os.path.exists(image_path): + return "" + + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + m.update(image.encode('utf-8')) + return m.digest().hex() + + +# class CivitAILoraSelector: +# @classmethod +# def INPUT_TYPES(s): +# # Get list of supported image extensions +# image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp') +# files = [f"lora_images/{f}" for f in folder_paths.get_filename_list("lora_images") +# if f.lower().endswith(image_extensions)] + +# if not files: # If no files found, provide a default option +# files = ["none"] + +# return {"required": +# {"image": (sorted(files), {"image_upload": True})}, # Added image_upload option here +# } + + +# RETURN_TYPES = ("IMAGE", "STRING") +# RETURN_NAMES = ("image", "image_name") +# FUNCTION = "load_image" +# CATEGORY = "Bjornulf" + +# def load_image(self, image): +# if image == "none": +# # Return a small blank image if no image is selected +# blank_image = torch.zeros((1, 64, 64, 3), dtype=torch.float32) +# return (blank_image, "none") + +# image_path = os.path.join(lora_images_path, image) + +# if not os.path.exists(image_path): +# raise FileNotFoundError(f"Image not found: {image_path}") + +# # Copy the image to ComfyUI/input directory +# input_dir = folder_paths.get_input_directory() +# dest_path = os.path.join(input_dir, os.path.basename(image)) +# try: +# shutil.copy2(image_path, dest_path) +# except Exception as e: +# print(f"Warning: Failed to copy image to input directory: {e}") + +# img = node_helpers.pillow(Image.open, image_path) + +# output_images = [] +# w, h = None, None + +# excluded_formats = ['MPO'] + +# for i in ImageSequence.Iterator(img): +# i = node_helpers.pillow(ImageOps.exif_transpose, i) + +# if i.mode == 'I': +# i = i.point(lambda i: i * (1 / 255)) +# image = i.convert("RGBA") + +# if len(output_images) == 0: +# w = image.size[0] +# h = image.size[1] + +# if image.size[0] != w or image.size[1] != h: +# continue + +# image = np.array(image).astype(np.float32) / 255.0 +# image = torch.from_numpy(image)[None,] +# output_images.append(image) + +# if len(output_images) > 1 and img.format not in excluded_formats: +# output_image = torch.cat(output_images, dim=0) +# else: +# output_image = output_images[0] + +# return (output_image, image) + +# @classmethod +# def IS_CHANGED(s, image): +# if image == "none": +# return "" +# # Use the full path for the image +# image_path = os.path.join(lora_images_path, image) +# if not os.path.exists(image_path): +# return "" + +# # Calculate hash of the image content +# m = hashlib.sha256() +# with open(image_path, 'rb') as f: +# m.update(f.read()) +# # Include the image name in the hash to ensure updates when selection changes +# m.update(image.encode('utf-8')) +# return m.digest().hex() + +# @classmethod +# def VALIDATE_INPUTS(s, image): +# if image == "none": +# return True +# image_path = os.path.join(lora_images_path, image) +# if not os.path.exists(image_path): +# return f"Invalid image file: {image}" +# return True + +class CivitAILoraSelectorSD15: + @classmethod + def INPUT_TYPES(s): + # Get list of supported image extensions + image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp') + files = [f"lora_sd_1.5/{f}" for f in folder_paths.get_filename_list("lora_sd_1.5") + if f.lower().endswith(image_extensions)] + + if not files: # If no files found, provide a default option + files = ["none"] + + return { + "required": { + "image": (sorted(files), {"image_upload": True}), + "model": ("MODEL",), + "clip": ("CLIP",), + "strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + "strength_clip": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + "civitai_token": ("STRING", {"default": ""}) + }, + } + + RETURN_TYPES = ("MODEL", "CLIP", "STRING", "STRING", "STRING") + RETURN_NAMES = ("model", "clip", "name", "civitai_url", "trigger_words") + FUNCTION = "load_lora" + CATEGORY = "Bjornulf" + + def load_lora(self, image, model, clip, strength_model, strength_clip, civitai_token): + def download_file(url, destination_path, lora_name, api_token=None): + """ + Download file with proper authentication headers and simple progress bar. + """ + filename = f"{lora_name}.safetensors" + file_path = os.path.join(destination_path, filename) + + headers = {} + if api_token: + headers['Authorization'] = f'Bearer {api_token}' + + try: + print(f"Downloading from: {url}") + response = requests.get(url, headers=headers, stream=True) + response.raise_for_status() + + file_size = int(response.headers.get('content-length', 0)) + block_size = 8192 + downloaded = 0 + + with open(file_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=block_size): + if chunk: + f.write(chunk) + downloaded += len(chunk) + + if file_size > 0: + progress = int(50 * downloaded / file_size) + bars = '=' * progress + '-' * (50 - progress) + percent = (downloaded / file_size) * 100 + print(f'\rProgress: [{bars}] {percent:.1f}%', end='') + + print(f"\nFile downloaded successfully to: {file_path}") + return file_path + + except requests.exceptions.RequestException as e: + print(f"Error downloading file: {e}") + raise + + if image == "none": + raise ValueError("No image selected") + + # Get the absolute path to the JSON file + json_path = os.path.join(parsed_models_path, 'parsed_lora_sd_1.5_loras.json') + + # Load loras info + with open(json_path, 'r') as f: + loras_info = json.load(f) + + # Extract lora name from image path + image_name = os.path.basename(image) + # Find corresponding lora info + lora_info = next((lora for lora in loras_info + if os.path.basename(lora['image_path']) == image_name), None) + + if not lora_info: + raise ValueError(f"No LoRA information found for image: {image_name}") + + # Create loras directory if it doesn't exist + lora_dir = os.path.join(folder_paths.models_dir, "loras", "Bjornulf_civitAI", "sd_1.5") + os.makedirs(lora_dir, exist_ok=True) + + # Expected lora filename + lora_filename = f"{lora_info['name']}.safetensors" + full_lora_path = os.path.join(lora_dir, lora_filename) + + # Check if lora is already downloaded + if not os.path.exists(full_lora_path): + print(f"Downloading LoRA {lora_info['name']}...") + + # Construct download URL with token + download_url = lora_info['download_url'] + if civitai_token: + download_url += f"?token={civitai_token}" if '?' not in download_url else f"&token={civitai_token}" + + try: + # Download the file + download_file(download_url, lora_dir, lora_info['name'], civitai_token) + except Exception as e: + raise ValueError(f"Failed to download LoRA: {e}") + + # Get relative path + relative_lora_path = os.path.join("Bjornulf_civitAI", "sd_1.5", lora_filename) + + # Load the LoRA + try: + lora_loader = nodes.LoraLoader() + model_lora, clip_lora = lora_loader.load_lora(model=model, + clip=clip, + lora_name=relative_lora_path, + strength_model=strength_model, + strength_clip=strength_clip) + except Exception as e: + raise ValueError(f"Failed to load LoRA: {e}") + + # Convert trained words list to comma-separated string + trained_words_str = ", ".join(lora_info.get('trained_words', [])) + + return (model_lora, clip_lora, lora_info['name'], f"https://civitai.com/models/{lora_info['lora_id']}", trained_words_str) + + @classmethod + def IS_CHANGED(s, image): + if image == "none": + return "" + image_path = os.path.join(civitai_base_path, image) + if not os.path.exists(image_path): + return "" + + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + m.update(image.encode('utf-8')) + return m.digest().hex() + + +class CivitAILoraSelectorSDXL: + @classmethod + def INPUT_TYPES(s): + # Get list of supported image extensions + image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp') + files = [f"lora_sdxl_1.0/{f}" for f in folder_paths.get_filename_list("lora_sdxl_1.0") + if f.lower().endswith(image_extensions)] + + if not files: # If no files found, provide a default option + files = ["none"] + + return { + "required": { + "image": (sorted(files), {"image_upload": True}), + "model": ("MODEL",), + "clip": ("CLIP",), + "strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + "strength_clip": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + "civitai_token": ("STRING", {"default": ""}) + }, + } + + RETURN_TYPES = ("MODEL", "CLIP", "STRING", "STRING", "STRING") + RETURN_NAMES = ("model", "clip", "name", "civitai_url", "trigger_words") + FUNCTION = "load_lora" + CATEGORY = "Bjornulf" + + def load_lora(self, image, model, clip, strength_model, strength_clip, civitai_token): + def download_file(url, destination_path, lora_name, api_token=None): + """ + Download file with proper authentication headers and simple progress bar. + """ + filename = f"{lora_name}.safetensors" + file_path = os.path.join(destination_path, filename) + + headers = {} + if api_token: + headers['Authorization'] = f'Bearer {api_token}' + + try: + print(f"Downloading from: {url}") + response = requests.get(url, headers=headers, stream=True) + response.raise_for_status() + + file_size = int(response.headers.get('content-length', 0)) + block_size = 8192 + downloaded = 0 + + with open(file_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=block_size): + if chunk: + f.write(chunk) + downloaded += len(chunk) + + if file_size > 0: + progress = int(50 * downloaded / file_size) + bars = '=' * progress + '-' * (50 - progress) + percent = (downloaded / file_size) * 100 + print(f'\rProgress: [{bars}] {percent:.1f}%', end='') + + print(f"\nFile downloaded successfully to: {file_path}") + return file_path + + except requests.exceptions.RequestException as e: + print(f"Error downloading file: {e}") + raise + + if image == "none": + raise ValueError("No image selected") + + # Get the absolute path to the JSON file + json_path = os.path.join(parsed_models_path, 'parsed_lora_sdxl_1.0_loras.json') + + # Load loras info + with open(json_path, 'r') as f: + loras_info = json.load(f) + + # Extract lora name from image path + image_name = os.path.basename(image) + # Find corresponding lora info + lora_info = next((lora for lora in loras_info + if os.path.basename(lora['image_path']) == image_name), None) + + if not lora_info: + raise ValueError(f"No LoRA information found for image: {image_name}") + + # Create loras directory if it doesn't exist + lora_dir = os.path.join(folder_paths.models_dir, "loras", "Bjornulf_civitAI", "sdxl_1.0") + os.makedirs(lora_dir, exist_ok=True) + + # Expected lora filename + lora_filename = f"{lora_info['name']}.safetensors" + full_lora_path = os.path.join(lora_dir, lora_filename) + + # Check if lora is already downloaded + if not os.path.exists(full_lora_path): + print(f"Downloading LoRA {lora_info['name']}...") + + # Construct download URL with token + download_url = lora_info['download_url'] + if civitai_token: + download_url += f"?token={civitai_token}" if '?' not in download_url else f"&token={civitai_token}" + + try: + # Download the file + download_file(download_url, lora_dir, lora_info['name'], civitai_token) + except Exception as e: + raise ValueError(f"Failed to download LoRA: {e}") + + # Get relative path + relative_lora_path = os.path.join("Bjornulf_civitAI", "sdxl_1.0", lora_filename) + + # Load the LoRA + try: + lora_loader = nodes.LoraLoader() + model_lora, clip_lora = lora_loader.load_lora(model=model, + clip=clip, + lora_name=relative_lora_path, + strength_model=strength_model, + strength_clip=strength_clip) + except Exception as e: + raise ValueError(f"Failed to load LoRA: {e}") + + # Convert trained words list to comma-separated string + trained_words_str = ", ".join(lora_info.get('trained_words', [])) + + return (model_lora, clip_lora, lora_info['name'], f"https://civitai.com/models/{lora_info['lora_id']}", trained_words_str) + + @classmethod + def IS_CHANGED(s, image): + if image == "none": + return "" + image_path = os.path.join(civitai_base_path, image) + if not os.path.exists(image_path): + return "" + + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + m.update(image.encode('utf-8')) + return m.digest().hex() + + +class CivitAILoraSelectorPONY: + @classmethod + def INPUT_TYPES(s): + # Get list of supported image extensions + image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.bmp') + files = [f"lora_pony/{f}" for f in folder_paths.get_filename_list("lora_pony") + if f.lower().endswith(image_extensions)] + + if not files: # If no files found, provide a default option + files = ["none"] + + return { + "required": { + "image": (sorted(files), {"image_upload": True}), + "model": ("MODEL",), + "clip": ("CLIP",), + "strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + "strength_clip": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + "civitai_token": ("STRING", {"default": ""}) + }, + } + + RETURN_TYPES = ("MODEL", "CLIP", "STRING", "STRING", "STRING") + RETURN_NAMES = ("model", "clip", "name", "civitai_url", "trigger_words") + FUNCTION = "load_lora" + CATEGORY = "Bjornulf" + + def load_lora(self, image, model, clip, strength_model, strength_clip, civitai_token): + def download_file(url, destination_path, lora_name, api_token=None): + """ + Download file with proper authentication headers and simple progress bar. + """ + filename = f"{lora_name}.safetensors" + file_path = os.path.join(destination_path, filename) + + headers = {} + if api_token: + headers['Authorization'] = f'Bearer {api_token}' + + try: + print(f"Downloading from: {url}") + response = requests.get(url, headers=headers, stream=True) + response.raise_for_status() + + file_size = int(response.headers.get('content-length', 0)) + block_size = 8192 + downloaded = 0 + + with open(file_path, 'wb') as f: + for chunk in response.iter_content(chunk_size=block_size): + if chunk: + f.write(chunk) + downloaded += len(chunk) + + if file_size > 0: + progress = int(50 * downloaded / file_size) + bars = '=' * progress + '-' * (50 - progress) + percent = (downloaded / file_size) * 100 + print(f'\rProgress: [{bars}] {percent:.1f}%', end='') + + print(f"\nFile downloaded successfully to: {file_path}") + return file_path + + except requests.exceptions.RequestException as e: + print(f"Error downloading file: {e}") + raise + + if image == "none": + raise ValueError("No image selected") + + # Get the absolute path to the JSON file + json_path = os.path.join(parsed_models_path, 'parsed_lora_pony_loras.json') + + # Load loras info + with open(json_path, 'r') as f: + loras_info = json.load(f) + + # Extract lora name from image path + image_name = os.path.basename(image) + # Find corresponding lora info + lora_info = next((lora for lora in loras_info + if os.path.basename(lora['image_path']) == image_name), None) + + if not lora_info: + raise ValueError(f"No LoRA information found for image: {image_name}") + + # Create loras directory if it doesn't exist + lora_dir = os.path.join(folder_paths.models_dir, "loras", "Bjornulf_civitAI", "pony") + os.makedirs(lora_dir, exist_ok=True) + + # Expected lora filename + lora_filename = f"{lora_info['name']}.safetensors" + full_lora_path = os.path.join(lora_dir, lora_filename) + + # Check if lora is already downloaded + if not os.path.exists(full_lora_path): + print(f"Downloading LoRA {lora_info['name']}...") + + # Construct download URL with token + download_url = lora_info['download_url'] + if civitai_token: + download_url += f"?token={civitai_token}" if '?' not in download_url else f"&token={civitai_token}" + + try: + # Download the file + download_file(download_url, lora_dir, lora_info['name'], civitai_token) + except Exception as e: + raise ValueError(f"Failed to download LoRA: {e}") + + # Get relative path + relative_lora_path = os.path.join("Bjornulf_civitAI", "pony", lora_filename) + + # Load the LoRA + try: + lora_loader = nodes.LoraLoader() + model_lora, clip_lora = lora_loader.load_lora(model=model, + clip=clip, + lora_name=relative_lora_path, + strength_model=strength_model, + strength_clip=strength_clip) + except Exception as e: + raise ValueError(f"Failed to load LoRA: {e}") + + # Convert trained words list to comma-separated string + trained_words_str = ", ".join(lora_info.get('trained_words', [])) + + return (model_lora, clip_lora, lora_info['name'], f"https://civitai.com/models/{lora_info['lora_id']}", trained_words_str) + + @classmethod + def IS_CHANGED(s, image): + if image == "none": + return "" + image_path = os.path.join(civitai_base_path, image) + if not os.path.exists(image_path): + return "" + + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + m.update(image.encode('utf-8')) + return m.digest().hex() diff --git a/API_falAI.py b/API_falAI.py new file mode 100644 index 0000000..98afb13 --- /dev/null +++ b/API_falAI.py @@ -0,0 +1,269 @@ +import os +import time +import requests +from PIL import Image +import numpy as np +import torch +import fal_client +from io import BytesIO +import json +import threading +import asyncio + +class APIGenerateFalAI: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "api_token": ("STRING", { + "multiline": False, + "default": "", + "display": "Fal.ai API Token" + }), + "model": (["fal-ai/flux-pro/v1.1-ultra", "fal-ai/recraft-v3", "fal-ai/flux-general/image-to-image"], { + "default": "fal-ai/flux-pro/v1.1-ultra" + }), + "prompt": ("STRING", { + "multiline": True, + "default": "A blackhole in space" + }), + "number_of_images": ("INT", { + "default": 1, + "min": 1, + "max": 10, + "step": 1 + }), + "seed": ("INT", { + "default": -1, + "min": -1, + "max": 2147483647 + }), + "timeout": ("INT", { + "default": 300, + "min": 60, + "max": 1800, + "step": 60, + "display": "Timeout (seconds)" + }), + } + } + + RETURN_TYPES = ("IMAGE", "STRING",) + RETURN_NAMES = ("image", "generation_info",) + FUNCTION = "generate" + CATEGORY = "FalAI" + + def __init__(self): + self.output_dir = "output/API/FalAI" + self.metadata_dir = "output/API/FalAI/metadata" + os.makedirs(self.output_dir, exist_ok=True) + os.makedirs(self.metadata_dir, exist_ok=True) + self._interrupt_event = threading.Event() + + def get_next_number(self): + save_dir = "output/API/FalAI" + os.makedirs(save_dir, exist_ok=True) + files = [f for f in os.listdir(save_dir) if f.endswith('.png')] + if not files: + return 1 + numbers = [int(f.split('.')[0]) for f in files] + return max(numbers) + 1 + + def create_filename(self, number): + # Simply format the number with leading zeros + return f"{number:03d}.png" + + def save_image_and_metadata(self, img, generation_info, number): + # Create simple filename + filename = self.create_filename(number) + filepath = os.path.join(self.output_dir, filename) + + # Save image + img.save(filepath) + + # Create metadata filename based on the image filename + metadata_filename = f"{number:03d}_metadata.json" + metadata_filepath = os.path.join(self.metadata_dir, metadata_filename) + + # Save metadata + with open(metadata_filepath, 'w', encoding='utf-8') as f: + json.dump(generation_info, f, indent=4, ensure_ascii=False) + + return filepath, metadata_filepath + + async def generate_single_image_async(self, input_data, api_token, model): + try: + # Set the environment variable for the API token + os.environ['FAL_KEY'] = api_token + + # Submit request and get request ID + handler = await fal_client.submit_async( + model, + arguments=input_data + ) + request_id = handler.request_id + print(f"Request ID: {request_id}") + + # Wait for the result + result = await fal_client.result_async(model, request_id) + + if not result or 'images' not in result or not result['images']: + raise ValueError(f"No valid result received. Result: {result}") + + # Get image URL and download image + image_url = result['images'][0]['url'] + image_response = requests.get(image_url) + if image_response.status_code != 200: + raise ConnectionError(f"Failed to download image: Status code {image_response.status_code}") + + # Process image + img = Image.open(BytesIO(image_response.content)) + if img.mode != 'RGB': + img = img.convert('RGB') + + # Save metadata and image + number = self.get_next_number() + generation_info = { + "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"), + "parameters": input_data, + "result": result, + "request_id": request_id + } + + image_path, metadata_path = self.save_image_and_metadata(img, generation_info, number) + print(f"Saved image to: {image_path}") + print(f"Saved metadata to: {metadata_path}") + + img_tensor = torch.from_numpy(np.array(img).astype(np.float32) / 255.0) + img_tensor = img_tensor.unsqueeze(0) + + return img_tensor, generation_info + + except Exception as e: + print(f"Generation error: {str(e)}") + raise Exception(f"Error generating image: {str(e)}") + + def generate(self, api_token, model, prompt, number_of_images=1, seed=-1, timeout=300): + if not api_token: + raise ValueError("API token is required") + + self._interrupt_event.clear() + empty_image = torch.zeros((1, 1024, 1024, 3)) # Default size + + try: + images = [] + infos = [] + failed_jobs = [] + + # Create new event loop + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + async def process_all_images(): + tasks = [] + for i in range(number_of_images): + if self._interrupt_event.is_set(): + break + + # Create input data for each image + input_data = {"prompt": prompt} + + # If seed is provided, increment it for each image + # If seed is -1, generate a random seed for each image + if seed != -1: + current_seed = seed + i + else: + current_seed = np.random.randint(0, 2147483647) + + input_data["seed"] = current_seed + tasks.append(self.generate_single_image_async(input_data, api_token, model)) + + return await asyncio.gather(*tasks, return_exceptions=True) + + try: + results = loop.run_until_complete(process_all_images()) + finally: + loop.close() + + for result in results: + if isinstance(result, Exception): + failed_jobs.append({ + 'error': str(result) + }) + else: + img_tensor, generation_info = result + images.append(img_tensor) + infos.append(generation_info) + + if not images: + generation_info = { + "error": "All generation jobs failed", + "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"), + "failed_jobs": failed_jobs + } + return (empty_image, json.dumps(generation_info, indent=2)) + + combined_tensor = torch.cat(images, dim=0) + + combined_info = { + "successful_generations": len(images), + "total_requested": number_of_images, + "generation_parameters": { + "prompt": prompt, + "initial_seed": seed + }, + "individual_results": infos, + "failed_jobs": failed_jobs if failed_jobs else None + } + + return (combined_tensor, json.dumps(combined_info, indent=2)) + + except Exception as e: + generation_info = { + "error": f"Fal.ai generation failed: {str(e)}", + "timestamp": time.strftime("%Y-%m-%d %H:%M:%S") + } + return (empty_image, json.dumps(generation_info, indent=2)) + + + def recover_image_by_request_id(self, request_id, api_token, model): + try: + # Set the environment variable for the API token + os.environ['FAL_KEY'] = api_token + + result = fal_client.result(model, request_id) + if not result or 'images' not in result or not result['images']: + raise ValueError(f"No valid result for request ID {request_id}") + + image_url = result['images'][0]['url'] + image_response = requests.get(image_url) + if image_response.status_code != 200: + raise ConnectionError(f"Failed to download image: Status code {image_response.status_code}") + + img = Image.open(BytesIO(image_response.content)) + if img.mode != 'RGB': + img = img.convert('RGB') + + number = self.get_next_number() + generation_info = { + "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"), + "result": result, + "request_id": request_id + } + + image_path, metadata_path = self.save_image_and_metadata(img, generation_info, number) + img_tensor = torch.from_numpy(np.array(img).astype(np.float32) / 255.0) + img_tensor = img_tensor.unsqueeze(0) + + return img_tensor, generation_info + + except Exception as e: + raise Exception(f"Error recovering image: {str(e)}") + + @classmethod + def IS_CHANGED(cls, **kwargs): + return float("NaN") + + def interrupt(self): + print("Interrupting Fal.ai generation...") + self._interrupt_event.set() \ No newline at end of file diff --git a/API_flux.py b/API_flux.py new file mode 100644 index 0000000..b23484d --- /dev/null +++ b/API_flux.py @@ -0,0 +1,185 @@ +import os +import time +import requests +from PIL import Image +import numpy as np +import torch + +class APIGenerateFlux: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "api_key": ("STRING", { + "multiline": False, + "default": "1ae1f1cc-de28-4682-bc4c-6ac2fdff79cc" + }), + "prompt": ("STRING", { + "multiline": True, + "default": "A beautiful landscape" + }), + "model": (["flux-pro-1.1-ultra", "flux-pro-1.1", "flux-pro", "flux-dev"], { + "default": "flux-pro-1.1-ultra" + }), + "aspect_ratio": (["16:9", "1:1", "4:3", "3:2", "21:9", "9:21"], { + "default": "16:9" + }), + "width": ("INT", { + "default": 2752, + "min": 256, + "max": 2752, + "step": 32 + }), + "height": ("INT", { + "default": 1536, + "min": 256, + "max": 1536, + "step": 32 + }), + "output_format": (["png", "jpeg"], { + "default": "png" + }), + }, + "optional": { + "seed": ("INT", { + "default": 0, + "min": 0, + "max": 0xffffffffffffffff + }), + "safety_tolerance": ("INT", { + "default": 6, + "min": 0, + "max": 6 + }), + "raw": ("BOOLEAN", { + "default": False + }), + "image_prompt_strength": ("FLOAT", { + "default": 0.1, + "min": 0.0, + "max": 1.0, + "step": 0.01 + }), + "steps": ("INT", { + "default": 50, + "min": 15, + "max": 50 + }), + "guidance": ("FLOAT", { + "default": 2.5, + "min": 1.0, + "max": 100.0, + "step": 0.1 + }), + "prompt_upsampling": ("BOOLEAN", { + "default": False + }), + } + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "generate" + CATEGORY = "BFL API" + + def get_next_number(self): + save_dir = "output/API/BlackForestLabs" + os.makedirs(save_dir, exist_ok=True) + files = [f for f in os.listdir(save_dir) if f.endswith('.png')] + if not files: + return 1 + numbers = [int(f.split('.')[0]) for f in files] + return max(numbers) + 1 + + def generate(self, api_key, prompt, model, aspect_ratio, output_format, + seed=0, safety_tolerance=2, raw=False, image_prompt_strength=0.1, + width=1024, height=768, steps=50, guidance=30.0, + prompt_upsampling=False): + + headers = { + 'accept': 'application/json', + 'x-key': api_key, + 'Content-Type': 'application/json' + } + + # Base payload + payload = { + 'prompt': prompt, + 'output_format': output_format, + 'safety_tolerance': safety_tolerance, + } + + # Add model-specific parameters + if model == "flux-pro-1.1-ultra": + payload.update({ + 'aspect_ratio': aspect_ratio, + 'raw': raw, + 'image_prompt_strength': image_prompt_strength + }) + if seed != 0: + payload['seed'] = seed + + else: # Other models + payload.update({ + 'width': width, + 'height': height, + 'steps': steps, + 'guidance': guidance, + 'prompt_upsampling': prompt_upsampling + }) + if seed != 0: + payload['seed'] = seed + + # Make API request + response = requests.post( + f'https://api.bfl.ml/v1/{model}', + headers=headers, + json=payload + ) + + if response.status_code != 200: + raise Exception(f"API request failed: {response.text}") + + request_id = response.json()['id'] + + # Poll for results + while True: + time.sleep(0.5) + result = requests.get( + f"https://api.bfl.ml/v1/get_result?id={request_id}", + headers=headers + ) + + if result.status_code != 200: + raise Exception(f"Failed to get results: {result.text}") + + data = result.json() + status = data['status'] + + if status == "Ready": + image_url = data['result']['sample'] + + # Download and process image + image_response = requests.get(image_url) + if image_response.status_code == 200: + next_num = self.get_next_number() + filename = f"{next_num:03d}.png" + filepath = os.path.join("output/API/BlackForestLabs", filename) + + with open(filepath, 'wb') as f: + f.write(image_response.content) + + img = Image.open(filepath) + if img.mode != 'RGB': + img = img.convert('RGB') + + img_tensor = torch.from_numpy(np.array(img).astype(np.float32) / 255.0) + img_tensor = img_tensor.unsqueeze(0) + + return (img_tensor,) + else: + raise Exception("Failed to download image") + + elif status in ["Content Moderated", "Request Moderated"]: + raise Exception(f"{status}. Process stopped.") + + print(f"Status: {status}") \ No newline at end of file diff --git a/README.md b/README.md index 8906bf2..d3016f3 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,11 @@ -# 🔗 Comfyui : Bjornulf_custom_nodes v0.61 🔗 +# 🔗 Comfyui : Bjornulf_custom_nodes v0.62 🔗 -A list of 79 custom nodes for Comfyui : Display, manipulate, and edit text, images, videos, loras and more. +A list of 110 custom nodes for Comfyui : Display, manipulate, create and edit text, images, videos, loras, generate characters and more. You can manage looping operations, generate randomized content, trigger logical conditions, pause and manually control your workflows and even work with external AI tools, like Ollama or Text To Speech. # Coffee : ☕☕☕☕☕ 5/5 -❤️❤️❤️ ❤️❤️❤️ +Support me and my work : ❤️❤️❤️ ❤️❤️❤️ # ☘ This project is part of my AI trio. ☘ @@ -37,6 +37,25 @@ You can manage looping operations, generate randomized content, trigger logical `68.` [✨➜📝 Anything to Text](#68----anything-to-text) `75.` [📝➜📝 Replace text](#75----replace-text) +## 🔥 Text Generator 🔥 +`81.` [🔥📝 Text Generator 📝🔥](#8) +`82.` [👩‍🦰📝 Text Generator (Character Female)](#8) +`83.` [👨‍🦰📝 Text Generator (Character Male)](#8) +`84.` [👾📝 Text Generator (Character Creature)](#8) +`85.` [💃🕺📝 Text Generator (Character Pose)](#8) +`86.` [🔧👨‍🔧📝 Text Generator (Object for Character)](#8) +`87.` [🌄📝 Text Generator (Scene)](#8) +`88.` [🎨📝 Text Generator (Style)](#8) +`89.` [👗 Text Generator (Outfit Female)](#8) +`90.` [👚 Text Generator (Outfit Male)](#8) +`91.` [♻🔥📝 List Looper (Text Generator)](#8) +`92.` [♻🌄📝 List Looper (Text Generator Scenes)](#8) +`93.` [♻🎨📝 List Looper (Text Generator Styles)](#8) +`94.` [♻💃🕺📝 List Looper (Text Generator Poses)](#8) +`95.` [♻👨‍🦰👩‍🦰👾 List Looper (Text Generator Characters)](#8) +`96.` [♻👚 List Looper (Text Generator Outfits Male)](#8) +`97.` [♻👗 List Looper (Text Generator Outfits Female)](#8) + ## ♻ Loop ♻ `6.` [♻ Loop](#6----loop) `7.` [♻ Loop Texts](#7----loop-texts) @@ -51,9 +70,16 @@ You can manage looping operations, generate randomized content, trigger logical `39.` [♻ Loop (✒🗔 Advanced Write Text + 🅰️ variables)](#39----loop--advanced-write-text) `42.` [♻ Loop (Model+Clip+Vae) - aka Checkpoint / Model](#42----loop-modelclipvae---aka-checkpoint--model) `53.` [♻ Loop Load checkpoint (Model Selector)](#53----loop-load-checkpoint-model-selector) -`54.` [♻ Loop Lora Selector](#54----loop-lora-selector) +`54.` [♻👑 Loop Lora Selector](#54----loop-lora-selector) `56.` [♻📝 Loop Sequential (Integer)](#56----loop-sequential-integer) `57.` [♻📝 Loop Sequential (input Lines)](#57----loop-sequential-input-lines) +`90.` [♻🔥📝 List Looper (Text Generator)](#8) +`91.` [♻🌄📝 List Looper (Text Generator Scenes)](#8) +`92.` [♻🎨📝 List Looper (Text Generator Styles)](#8) +`93.` [♻💃🕺📝 List Looper (Text Generator Poses)](#8) +`94.` [♻👨‍🦰👩‍🦰📝 List Looper (Text Generator Characters)](#8) +`95.` [♻👚 List Looper (Text Generator Outfits Male)](#8) +`96.` [♻👗 List Looper (Text Generator Outfits Female)](#8) ## 🎲 Randomization 🎲 `3.` [✒🗔 Advanced Write Text (+ 🎲 random selection and 🅰️ variables)](#3----advanced-write-text---random-selection-and-🅰%EF%B8%8F-variables) @@ -64,7 +90,7 @@ You can manage looping operations, generate randomized content, trigger logical `40.` [🎲 Random (Model+Clip+Vae) - aka Checkpoint / Model](#40----random-modelclipvae---aka-checkpoint--model) `41.` [🎲 Random Load checkpoint (Model Selector)](#41----random-load-checkpoint-model-selector) `48.` [🔀🎲 Text scrambler (🧑 Character)](#48----text-scrambler--character) -`55.` [🎲 Random Lora Selector](#55----random-lora-selector) +`55.` [🎲👑 Random Lora Selector](#55----random-lora-selector) ## 🖼💾 Image Save 💾🖼 `16.` [💾🖼💬 Save image for Bjornulf LobeChat](#16----save-image-for-bjornulf-lobechat-for-my-custom-lobe-chat) @@ -94,6 +120,7 @@ You can manage looping operations, generate randomized content, trigger logical `61.` [🖼🖼 Merge Images/Videos 📹📹 (Vertically)](#61----merge-imagesvideos--vertically) `62.` [🦙👁 Ollama Vision](#62----ollama-vision) `70.` [📏 Resize Image Percentage](#70----resize-image-percentage) +`80.` [🩷 Empty Latent Selector](#) ## 🚀 Load checkpoints 🚀 `40.` [🎲 Random (Model+Clip+Vae) - aka Checkpoint / Model](#40----random-modelclipvae---aka-checkpoint--model) @@ -103,7 +130,24 @@ You can manage looping operations, generate randomized content, trigger logical ## 🚀 Load loras 🚀 `54.` [♻ Loop Lora Selector](#54----loop-lora-selector) -`55.` [🎲 Random Lora Selector](#55----random-lora-selector) +`55.` [🎲 Random Lora@ Selector](#55----random-lora-selector) + +## ☁ Image Creation : API / cloud / remote ☁ +`106.` [☁🎨 API Image Generator (FalAI) ☁](#10) +`107.` [☁🎨 API Image Generator (CivitAI) ☁](#10) +`108.` [☁👑 Add Lora (API ONLY - CivitAI) 👑☁](#10) +`109.` [☁🎨 API Image Generator (Black Forest Labs - Flux) ☁](#10) +`110.` [☁🎨 API Image Generator (Stability - Stable Diffusion) ☁](#10) + +## 📥 Take from CivitAI 📥 +`98.` [📥 Load checkpoint SD1.5 (+Download from CivitAi)](#10) +`99.` [📥 Load checkpoint SDXL (+Download from CivitAi)](#10) +`100.` [📥 Load checkpoint Pony (+Download from CivitAi)](#10) +`101.` [📥 Load checkpoint FLUX Dev (+Download from CivitAi)](#10) +`102.` [📥 Load checkpoint FLUX Schnell (+Download from CivitAi)](#10) +`103.` [📥👑 Load Lora SD1.5 (+Download from CivitAi)](#10) +`104.` [📥👑 Load Lora SDXL (+Download from CivitAi)](#10) +`105.` [📥👑 Load Lora Pony (+Download from CivitAi)](#10) ## 📹 Video 📹 `20.` [📹 Video Ping Pong](#20----video-ping-pong) @@ -155,7 +199,7 @@ My referal link for Runpod : (If you use that i If you want to use my nodes and comfyui in the cloud (and can install more stuff), I'm managing an optimized ready-to-use template on runpod : Template name : `bjornulf-comfyui-allin-workspace`, can be operational in ~3 minutes. (Depending on your pod, setup and download of extra models or whatever not included.) You need to create and select a network volume before using that, size is up to you, i have 50Gb Storage because i use cloud only for Flux or lora training on a 4090. (~0.7$/hour) -⚠️ When pod is ready, you need to open a terminal in browser (After clicking on `connect` from your pod) and use this to launch ComfyUI manually : `cd /workspace/ComfyUI && python main.py --listen 0.0.0.0 --port 3000` (Much better to control it with a terminal, check logs, etc...) +⚠️ When pod is ready, you need to open a terminal in browser (After clicking on `connect` from your pod) and use this to launch ComfyUI manually : `cd /workspace/ComfyUI && python main.py --listen 0.0.0.0 --port 3000` or the alias `start_-_comfy` (Much better to control it with a terminal, check logs, etc...) After that you can just click on the `Connect to port 3000` button. As file manager, you can use the included `JupyterLab` on port 8888. If you have any issues with it, please let me know. @@ -190,6 +234,8 @@ cd /workspace/ComfyUI/output && tar -czvf /workspace/output.tar.gz . Then you can download it from the file manager JupyterLab. +If you want to start the XTTS server, just use the alias `start_xtts`. + If you have any issues with this template from Runpod, please let me know, I'm here to help. 😊 # 🏗 Dependencies (nothing to do for runpod ☁) @@ -298,6 +344,7 @@ cd /where/you/installed/ComfyUI && python main.py - **0.59**: A lot of Javascript fixing to avoid resizing and better properties mangement / recoveries - **0.60**: Revert changes from ollama_talk (implement _user mode later / another node) - **0.61**: Add/modify a bunch of Ffmpeg / video nodes. With a global configuration system and toggle python-ffmpeg / system. +- **0.62**: MASSIVE update, Text Generator nodes. (15 nodes), API nodes generate (civitai / black forest labs / fal.ai), API civit ai download models nodes, lora # 📝 Nodes descriptions @@ -307,6 +354,9 @@ cd /where/you/installed/ComfyUI && python main.py The show node will only display text, or a list of several texts. (read only node) 3 types are managed : Green is for STRING type, Orange is for FLOAT type and blue is for INT type. I put colors so I/you don't try to edit them. 🤣 +Update 0.61 : You now also have 4 other nodes to display format specific values : INT, FLOAT, STRING and JSON (STRING) +These are convenient because these are automatically recommended on drag and drop. + ![Show Text](screenshots/show.png) ## 2 - ✒ Write Text @@ -1227,4 +1277,301 @@ Convert a video, can use FFMPEG_CONFIG_JSON. Take a list of videos (one per line) and concatenate them. (One after the other in the same video.) Can use FFMPEG_CONFIG_JSON. (From node 76 / 77) -![concat video list](screenshots/concat_video_list.png) \ No newline at end of file +![concat video list](screenshots/concat_video_list.png) + +#### 80 - 🩷 Empty Latent Selector + +**Description:** +Tired of setting up latent space manually ? +Select one from my custom list of formats. +Just connect that to your KSampler. + +![empty_latent](screenshots/empty_latent.png) + +#### 81 - 🔥📝 Text Generator 📝🔥 + +**Description:** +Main node to generate content, doesn't really do much by itself, just `camera angle` and `multicharacter action`. (For example : `... eat picnic, view from above.`) +BUT, you can connect others `Text Generator Nodes` to it. + +⚠️ Warning for "Text Generator" : This node is JUST writing text, text is then interpreted by a checkpoint (SD1.5, SDXL, Flux...) to generate an image. +Some models are very bad at doing some things, so DON'T EXPECT for everything you do to work properly all the time with every checkpoints or loras. (This node was made with FLUX in mind.) + +Below is a Tutorial on how to use all my `Text Generator nodes`. I did that small tutorial in 8 steps: + +Step 1 : You use the main Text Generator node, it will write general details about the image (here `camera_angle` and `shot_type`) - For now I just combine the text to a simple "write text" that will send `swamp monster` : +![textgen](screenshots/textgen.png) + +Step 2 : Add a specific style to your image : +![textgen_style](screenshots/textgen_style.png) + +Step 3 : Add scene/background to your image : +![textgen_scene](screenshots/textgen_scene.png) + +Step 4 : Add a character to the scene using a character node, instead of the Write text Node. +I will remove the "swamp monster" from the "write text node" and use my Character Node instead, I will use it to create an agressive dragon with lighting powers : +![textgen_char](screenshots/textgen_char.png) + +Step 5 : Character nodes (Male/Female and creatures) can contain more than one character. (But they will share the same characteristics) +Below I removed the dragon and I created 2 "Character male" fighting by using the `multi_char_action` from the main node. (You can set it to CUSTOM and write your own action too.) +![textgen_2chars](screenshots/textgen_2chars.png) + +Step 5 : Let's try to add a location for the character, I want to put it on the left of the image. Here is a failure with the SDXL model I have been using all along : +![textgen_charposition_FAIL_sdxl](screenshots/textgen_charposition_FAIL_sdxl.png) + +Step 6 : Switch to FLUX to test the `location_on_image` feature (which is working) : +![textgen_location_on_image_flux](screenshots/textgen_location_on_image_flux.png) + +Step 7 : Switch to API black Forest Lab with FLUX Ultra, using my API custom node 109. +If you want several characters with different characteristics (like `location_on_image` or whatever), you can chain several Character Nodes together by connecting them to each other. +You can see below that I asked for 2 tiny dragons on the left and a zombie on the right. +![textgen_Complex_ULTRA](screenshots/textgen_Complex_ULTRA.png) + +Step 8 : And to end this tutorial, I will disable the Zombie, I will add an outfit (here a `floral armor`), I will also add a `pose` node for the character and also connect this pose node to an `object` node. (They will together make the character `hold a book` and put his `hand on chin`) +![textgen_final](screenshots/textgen_final.png) + +#### 82 - 👩‍🦰📝 Text Generator (Character Female) + +**Description:** +Generate text related to female characters. +Need to be connected to "Text Generator" main node. + +⚠️ For "Text Generator" tutorial see node 81. + +#### 83 - 👨‍🦰📝 Text Generator (Character Male) + +**Description:** +Generate text related to male characters. + +⚠️ For "Text Generator" tutorial see node 81. + +#### 84 - 👾📝 Text Generator (Character Creature) + +**Description:** +Generate text related to creatures. (characters) + +⚠️ For "Text Generator" tutorial see node 81. + +#### 85 - 💃🕺📝 Text Generator (Character Pose) + +**Description:** +Generate text related to the pose of characters. + +⚠️ For "Text Generator" tutorial see node 81. + +#### 86 - 🔧👨‍🔧📝 Text Generator (Object for Character) + +**Description:** +Generate text related to an object connected to a pose, that is connected to a character. + +⚠️ For "Text Generator" tutorial see node 81. + +#### 87 - 🌄📝 Text Generator (Scene) + +**Description:** +Generate text related to a specific scene, connects directly to the main text generator. + +⚠️ For "Text Generator" tutorial see node 81. + +#### 88 - 🎨📝 Text Generator (Style) + +**Description:** +Generate text related to a specific style, connects directly to the main text generator. + +⚠️ For "Text Generator" tutorial see node 81. + +#### 89 - 👗 Text Generator (Outfit Female) + +**Description:** +Generate text related to a specific female outfit. + +⚠️ For "Text Generator" tutorial see node 81. + +#### 90 - 👚 Text Generator (Outfit Male) + +**Description:** +Generate text related to a specific male outfit. + +⚠️ For "Text Generator" tutorial see node 81. + +#### 91 - ♻🔥📝 List Looper (Text Generator) + +**Description:** +Loop made to loop over elements for the main node text generator. + +All the `List Looper` nodes have the same logic, you should be able to use them all the same way. +Here is an example with node 92 (list looper scenes), looping over all the different `weather_condition` : + +![listlooper_USE](screenshots/listlooper_USE.png) + +⚠️ Note, if you want to Loop over the elements `One by One`, Not all-in one, DO NOT use this `list looper nodes` !! +You can just convert the element you want as input and double click to create a new node that you can set to "increment". + +Example, here you can see that the value was "incremented", aka changed to the next from the list, the next run will then have the next value from the list (and so on) : +![listlooper_notUSE](screenshots/listlooper_notUSE.png) + +#### 92 - ♻🌄📝 List Looper (Text Generator Scenes) + +**Description:** +Loop made to loop over elements for the node scenes. + +⚠️ For "List Looper" tutorial see node 91. + +#### 93 - ♻🎨📝 List Looper (Text Generator Styles) + +**Description:** +Loop made to loop over elements for the node style. + +⚠️ For "List Looper" tutorial see node 91. + +#### 94 - ♻💃🕺📝 List Looper (Text Generator Poses) + +**Description:** +Loop made to loop over elements for the node poses. + +⚠️ For "List Looper" tutorial see node 91. + +#### 95 - ♻👨‍🦰👩‍🦰👾 List Looper (Text Generator Characters) + +**Description:** +Loop made to loop over elements for the node charceter (male/female/creature). + +⚠️ For "List Looper" tutorial see node 91. + +#### 96 - ♻👚 List Looper (Text Generator Outfits Male) + +**Description:** +Loop made to loop over elements for the node for male outfits. + +⚠️ For "List Looper" tutorial see node 91. + +#### 97 - ♻👗 List Looper (Text Generator Outfits Female) + +**Description:** +Loop made to loop over elements for the node for female outfits. + +⚠️ For "List Looper" tutorial see node 91. + +#### 98 - 📥 Load checkpoint SD1.5 (+Download from CivitAi) + +**Description:** +This is the same as a basic "Load checkpoint" node, but the list is from civitai (not your local folder). +It will also download the file from civitai if you don't have it on your computer yet. (You need an api token from your account. - Find yours on civitai.com settings. -) +This is the `sd1.5` version, it will download the models in : `ComfyUI/models/checkpoints/Bjornulf_civitAI/sd1.5` +After downloading, you can keep using this node as is to load your checkpoint, or use the downloaded model from a basic "Load checkpoint" node. + +![civitai_load_sd15](screenshots/civitai_load_sd15.png) + +#### 99 - 📥 Load checkpoint SDXL (+Download from CivitAi) + +**Description:** +This is the same as a basic "Load checkpoint" node, but the list is from civitai (not your local folder). +It will also download the file from civitai if you don't have it on your computer yet. (You need an api token from your account. - Find yours on civitai.com settings. -) +This is the `sdxl_1.0` version, it will download the models in : `ComfyUI/models/checkpoints/Bjornulf_civitAI/sdxl_1.0` +After downloading, you can keep using this node as is to load your checkpoint, or use the downloaded model from a basic "Load checkpoint" node. + +![civitai_load_sdxl](screenshots/civitai_load_sdxl.png) + +#### 100 - 📥 Load checkpoint Pony (+Download from CivitAi) + +**Description:** +This is the same as a basic "Load checkpoint" node, but the list is from civitai (not your local folder). +It will also download the file from civitai if you don't have it on your computer yet. (You need an api token from your account. - Find yours on civitai.com settings. -) +This is the `pony` version, it will download the models in : `ComfyUI/models/checkpoints/Bjornulf_civitAI/pony` +After downloading, you can keep using this node as is to load your checkpoint, or use the downloaded model from a basic "Load checkpoint" node. + +![civitai_load_pony](screenshots/civitai_load_pony.png) + +#### 101 - 📥 Load checkpoint FLUX Dev (+Download from CivitAi) + +**Description:** +This is the same as a basic "Load checkpoint" node, but the list is from civitai (not your local folder). +It will also download the file from civitai if you don't have it on your computer yet. (You need an api token from your account. - Find yours on civitai.com settings. -) +This is the `flux_d` version, it will download the models in : `ComfyUI/models/checkpoints/Bjornulf_civitAI/flux_d` +After downloading, you can keep using this node as is to load your checkpoint, or use the downloaded model from a basic "Load checkpoint" node. + +🚧 Work in progress, need to manually clean up list, diffusers, etc.. ? 🚧 + +#### 102 - 📥 Load checkpoint FLUX Schnell (+Download from CivitAi) + +**Description:** +This is the same as a basic "Load checkpoint" node, but the list is from civitai (not your local folder). +It will also download the file from civitai if you don't have it on your computer yet. (You need an api token from your account. - Find yours on civitai.com settings. -) +This is the `flux_s` version, it will download the models in : `ComfyUI/models/checkpoints/Bjornulf_civitAI/flux_s` +After downloading, you can keep using this node as is to load your checkpoint, or use the downloaded model from a basic "Load checkpoint" node. + +🚧 Work in progress, need to manually clean up list, diffusers, etc.. ? 🚧 + +#### 103 - 📥👑 Load Lora SD1.5 (+Download from CivitAi) + +**Description:** +This is the same as a basic "Load lora" node, but the list is from civitai (not your local folder). +It will also download the file from civitai if you don't have it on your computer yet. (You need an api token from your account. - Find yours on civitai.com settings. -) +This is the `sd_1.5` version, it will download the lora in : `ComfyUI/models/loras/Bjornulf_civitAI/sd_1.5` +After downloading, you can keep using this node as is to load your lora, or use the downloaded lora from a basic "Load lora" node. + +Below is an example with Lora "Colorize" : + +![civitai_lora_sd15](screenshots/civitai_lora_sd15.png) + +#### 104 - 📥👑 Load Lora SDXL (+Download from CivitAi) + +**Description:** +This is the same as a basic "Load lora" node, but the list is from civitai (not your local folder). +It will also download the file from civitai if you don't have it on your computer yet. (You need an api token from your account. - Find yours on civitai.com settings. -) +This is the `sdxl_1.0` version, it will download the lora in : `ComfyUI/models/loras/Bjornulf_civitAI/sdxl_1.0` +After downloading, you can keep using this node as is to load your lora, or use the downloaded lora from a basic "Load lora" node. + +Below is an example with Lora "Better faces" : + +![civitai_lora_sdxl](screenshots/civitai_lora_sdxl.png) + +#### 105 - 📥👑 Load Lora Pony (+Download from CivitAi) + +**Description:** +This is the same as a basic "Load lora" node, but the list is from civitai (not your local folder). +It will also download the file from civitai if you don't have it on your computer yet. (You need an api token from your account. - Find yours on civitai.com settings. -) +This is the `pony` version, it will download the lora in : `ComfyUI/models/loras/Bjornulf_civitAI/pony` +After downloading, you can keep using this node as is to load your lora, or use the downloaded lora from a basic "Load lora" node. + +![civitai_lora_pony](screenshots/civitai_lora_pony.png) + +#### 106 - ☁🎨 API Image Generator (FalAI) 🎨☁ + +**Description:** +Generate images with only a token. +This is the `fal.ai` version and will save the image in `ComfyUI/output/API/CivitAI/` + +![api falai](screenshots/api_falai.png) + +#### 107 - ☁🎨 API Image Generator (CivitAI) 🎨☁ + +**Description:** +Generate images with only a token. +This is the `civit.ai` version and will save the image in `ComfyUI/output/API/CivitAI/` +⚠️ Warning : Civitai isn't the best reliable API, sometimes it doesn't answer, or take long time to answer, some urn don't answer as well as others, etc... +Use it at your own risks, I do not recommend running anything "costly" using their API, like Flux Ultra, etc... (Use the website instead with blue buzz) +API requests (like from this node) are using yellow buzz. + +![api civitai](screenshots/api_civitai.png) + +#### 108 - ☁👑 Add Lora (API ONLY - CivitAI) 👑☁ + +**Description:** +Use lora with the API, below is an example to see clearly with the same seed the different with/without/lora. + +![api civitai lora](screenshots/api_civitai_lora.png) + +#### 109 - ☁🎨 API Image Generator (Black Forest Labs - Flux) 🎨☁ + +**Description:** +Generate an image with the Black Forest Labs API. (flux) + +![api black forest](screenshots/api_black_forest.png) + +#### 110 - ☁🎨 API Image Generator (Stability - Stable Diffusion) 🎨☁ + +**Description:** +Generate an image with the Stability API. (sd3) + +![api stability](screenshots/api_stability.png) \ No newline at end of file diff --git a/TODO b/TODO new file mode 100644 index 0000000..d5f7029 --- /dev/null +++ b/TODO @@ -0,0 +1,5 @@ +- Combine Loop + text random ? +- Allow all ffmpeg code to use FFMPEG_CONFIG_JSON +- video preview, allow list of IMAGES as a video ? +Add options to video preview : autoplay, audio toggle +- try to make all in one face fix... \ No newline at end of file diff --git a/__init__.py b/__init__.py index 312a866..60bba4c 100644 --- a/__init__.py +++ b/__init__.py @@ -80,8 +80,49 @@ from .text_to_anything import TextToAnything from .anything_to_text import AnythingToText from .add_line_numbers import AddLineNumbers from .ffmpeg_convert import ConvertVideo +# from .hiresfix import HiResFix +# from .show_images import ImageBlend +from .text_generator import TextGenerator, TextGeneratorScene, TextGeneratorStyle, TextGeneratorCharacterFemale, TextGeneratorCharacterMale, TextGeneratorOutfitMale, TextGeneratorOutfitFemale, ListLooper, ListLooperScene, ListLooperStyle, ListLooperCharacter, ListLooperOutfitFemale, ListLooperOutfitMale, TextGeneratorCharacterPose, TextGeneratorCharacterObject, TextGeneratorCharacterCreature +from .API_flux import APIGenerateFlux +from .API_StableDiffusion import APIGenerateStability +from .API_civitai import APIGenerateCivitAI, APIGenerateCivitAIAddLORA, CivitAIModelSelectorPony, CivitAIModelSelectorSD15, CivitAIModelSelectorSDXL, CivitAIModelSelectorFLUX_S, CivitAIModelSelectorFLUX_D, CivitAILoraSelectorSD15, CivitAILoraSelectorSDXL, CivitAILoraSelectorPONY +from .API_falAI import APIGenerateFalAI +from .latent_resolution_selector import LatentResolutionSelector NODE_CLASS_MAPPINGS = { + "Bjornulf_LatentResolutionSelector": LatentResolutionSelector, + "Bjornulf_APIGenerateFlux": APIGenerateFlux, + "Bjornulf_APIGenerateFalAI": APIGenerateFalAI, + "Bjornulf_APIGenerateStability": APIGenerateStability, + "Bjornulf_APIGenerateCivitAI": APIGenerateCivitAI, + "Bjornulf_CivitAIModelSelectorPony": CivitAIModelSelectorPony, + "Bjornulf_CivitAIModelSelectorSD15": CivitAIModelSelectorSD15, + "Bjornulf_CivitAIModelSelectorSDXL": CivitAIModelSelectorSDXL, + "Bjornulf_CivitAIModelSelectorFLUX_S": CivitAIModelSelectorFLUX_S, + "Bjornulf_CivitAIModelSelectorFLUX_D": CivitAIModelSelectorFLUX_D, + "Bjornulf_CivitAILoraSelectorSD15": CivitAILoraSelectorSD15, + "Bjornulf_CivitAILoraSelectorSDXL": CivitAILoraSelectorSDXL, + "Bjornulf_CivitAILoraSelectorPONY": CivitAILoraSelectorPONY, + # "Bjornulf_CivitAILoraSelector": CivitAILoraSelector, + "Bjornulf_APIGenerateCivitAIAddLORA": APIGenerateCivitAIAddLORA, + "Bjornulf_TextGenerator": TextGenerator, + "Bjornulf_TextGeneratorCharacterPose": TextGeneratorCharacterPose, + "Bjornulf_TextGeneratorCharacterObject": TextGeneratorCharacterObject, + "Bjornulf_TextGeneratorScene": TextGeneratorScene, + "Bjornulf_TextGeneratorStyle": TextGeneratorStyle, + "Bjornulf_TextGeneratorCharacterFemale": TextGeneratorCharacterFemale, + "Bjornulf_TextGeneratorCharacterMale": TextGeneratorCharacterMale, + "Bjornulf_TextGeneratorCharacterCreature": TextGeneratorCharacterCreature, + "Bjornulf_TextGeneratorOutfitFemale": TextGeneratorOutfitFemale, + "Bjornulf_TextGeneratorOutfitMale": TextGeneratorOutfitMale, + "Bjornulf_ListLooper": ListLooper, + "Bjornulf_ListLooperScene": ListLooperScene, + "Bjornulf_ListLooperStyle": ListLooperStyle, + "Bjornulf_ListLooperCharacter": ListLooperCharacter, + "Bjornulf_ListLooperOutfitMale": ListLooperOutfitMale, + "Bjornulf_ListLooperOutfitFemale": ListLooperOutfitFemale, + # "Bjornulf_HiResFix": HiResFix, + # "Bjornulf_ImageBlend": ImageBlend, "Bjornulf_ShowInt": ShowInt, "Bjornulf_TextReplace" : TextReplace, "Bjornulf_ShowFloat": ShowFloat, @@ -166,7 +207,42 @@ NODE_CLASS_MAPPINGS = { } NODE_DISPLAY_NAME_MAPPINGS = { - "Bjornulf_ShowInt": "👁 Show (Int)", + # "Bjornulf_HiResFix": "HiResFix", + # "Bjornulf_ImageBlend": "🎨 Image Blend", + # "Bjornulf_APIHiResCivitAI": "🎨➜🎨 API Image hires fix (CivitAI)", + # "Bjornulf_CivitAILoraSelector": "lora Civit", + "Bjornulf_LatentResolutionSelector": "🩷 Empty Latent Selector", + "Bjornulf_CivitAIModelSelectorSD15": "📥 Load checkpoint SD1.5 (+Download from CivitAi)", + "Bjornulf_CivitAIModelSelectorSDXL": "📥 Load checkpoint SDXL (+Download from CivitAi)", + "Bjornulf_CivitAIModelSelectorPony": "📥 Load checkpoint Pony (+Download from CivitAi)", + "Bjornulf_CivitAIModelSelectorFLUX_D": "📥 Load checkpoint FLUX Dev (+Download from CivitAi)", + "Bjornulf_CivitAIModelSelectorFLUX_S": "📥 Load checkpoint FLUX Schnell (+Download from CivitAi)", + "Bjornulf_CivitAILoraSelectorSD15": "📥👑 Load Lora SD1.5 (+Download from CivitAi)", + "Bjornulf_CivitAILoraSelectorSDXL": "📥👑 Load Lora SDXL (+Download from CivitAi)", + "Bjornulf_CivitAILoraSelectorPONY": "📥👑 Load Lora Pony (+Download from CivitAi)", + "Bjornulf_APIGenerateFalAI": "☁🎨 API Image Generator (FalAI) 🎨☁", + "Bjornulf_APIGenerateCivitAI": "☁🎨 API Image Generator (CivitAI) 🎨☁", + "Bjornulf_APIGenerateCivitAIAddLORA": "☁👑 Add Lora (API ONLY - CivitAI) 👑☁", + "Bjornulf_APIGenerateFlux": "☁🎨 API Image Generator (Black Forest Labs - Flux) 🎨☁", + "Bjornulf_APIGenerateStability": "☁🎨 API Image Generator (Stability - Stable Diffusion) 🎨☁", + "Bjornulf_TextGenerator": "🔥📝 Text Generator 📝🔥", + "Bjornulf_TextGeneratorCharacterFemale": "👩‍🦰📝 Text Generator (Character Female)", + "Bjornulf_TextGeneratorCharacterMale": "👨‍🦰📝 Text Generator (Character Male)", + "Bjornulf_TextGeneratorCharacterPose": "💃🕺📝 Text Generator (Character Pose)", + "Bjornulf_TextGeneratorCharacterObject": "🔧👨‍🔧📝 Text Generator (Object for Character)", + "Bjornulf_TextGeneratorCharacterCreature": "👾📝 Text Generator (Character Creature)", + "Bjornulf_TextGeneratorScene": "🌄📝 Text Generator (Scene)", + "Bjornulf_TextGeneratorStyle": "🎨📝 Text Generator (Style)", + "Bjornulf_TextGeneratorOutfitFemale": "👗 Text Generator (Outfit Female)", + "Bjornulf_TextGeneratorOutfitMale": "👚 Text Generator (Outfit Male)", + "Bjornulf_ListLooper": "♻🔥📝 List Looper (Text Generator)", + "Bjornulf_ListLooperScene": "♻🌄📝 List Looper (Text Generator Scenes)", + "Bjornulf_ListLooperStyle": "♻🎨📝 List Looper (Text Generator Styles)", + "Bjornulf_ListLooperPose": "♻💃🕺📝 List Looper (Text Generator Poses)", + "Bjornulf_ListLooperCharacter": "♻👨‍🦰👩‍🦰👾 List Looper (Text Generator Characters)", + "Bjornulf_ListLooperOutfitMale": "♻👚 List Looper (Text Generator Outfits Male)", + "Bjornulf_ListLooperOutfitFemale": "♻👗 List Looper (Text Generator Outfits Female)", + "Bjornulf_ShowInt": "👁 Show (Int)", "Bjornulf_ShowFloat": "👁 Show (Float)", "Bjornulf_ShowJson": "👁 Show (JSON)", "Bjornulf_ShowStringText": "👁 Show (String/Text)", @@ -192,12 +268,12 @@ NODE_DISPLAY_NAME_MAPPINGS = { "Bjornulf_ConcatVideosFromList": "📹🔗 Concat Videos from list", "Bjornulf_LoopLinesSequential": "♻📝 Loop Sequential (input Lines)", 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file mode 100644 index 0000000..c692366 Binary files /dev/null and b/civitai/sdxl_turbo/____Realities_Edge_XL_____LIGHTNING___Turbo__6991224.jpeg differ diff --git a/civitai/sdxl_turbo/fitCorderMix_-_TurboSDXL_4827128.jpeg b/civitai/sdxl_turbo/fitCorderMix_-_TurboSDXL_4827128.jpeg new file mode 100644 index 0000000..56fd560 Binary files /dev/null and b/civitai/sdxl_turbo/fitCorderMix_-_TurboSDXL_4827128.jpeg differ diff --git a/combine_video_audio.py b/combine_video_audio.py index 5230b66..7b64490 100644 --- a/combine_video_audio.py +++ b/combine_video_audio.py @@ -32,7 +32,7 @@ class CombineVideoAudio: RETURN_TYPES = ("STRING", "FLOAT", "FLOAT", "INT") RETURN_NAMES = ("video_path", "video_duration", "fps", "number_of_frames") FUNCTION = "combine_audio_video" - CATEGORY = "video" + CATEGORY = "Bjornulf" def get_video_frame_count(self, video_path): try: diff --git a/latent_resolution_selector.py b/latent_resolution_selector.py new file mode 100644 index 0000000..29767f6 --- /dev/null +++ b/latent_resolution_selector.py @@ -0,0 +1,90 @@ +import torch +import numpy as np +from nodes import EmptyLatentImage + +class LatentResolutionSelector: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "resolution_preset": ([ + # SD 1.5 Resolutions - Square + "SD1.5 - Square - 512x512 (1:1)", + "SD1.5 - Square - 640x640 (1:1)", + "SD1.5 - Square - 768x768 (1:1)", + + # SD 1.5 Resolutions - Landscape + "SD1.5 - Landscape - 640x480 (4:3)", + "SD1.5 - Landscape - 768x512 (3:2)", + "SD1.5 - Landscape - 704x384 (16:9)", + "SD1.5 - Landscape - 768x384 (2:1)", + + # SD 1.5 Resolutions - Portrait + "SD1.5 - Portrait - 480x640 (3:4)", + "SD1.5 - Portrait - 512x768 (2:3)", + "SD1.5 - Portrait - 384x704 (9:16)", + "SD1.5 - Portrait - 384x768 (1:2)", + + # SDXL Resolutions - Square + "SDXL - Square - 1024x1024 (1:1)", + "SDXL - Square - 1280x1280 (1:1)", + + # SDXL Resolutions - Landscape + "SDXL - Landscape - 1024x768 (4:3)", + "SDXL - Landscape - 1152x864 (4:3)", + "SDXL - Landscape - 1280x960 (4:3)", + "SDXL - Landscape - 1152x768 (3:2)", + "SDXL - Landscape - 1344x896 (3:2)", + "SDXL - Landscape - 1344x768 (16:9)", + "SDXL - Landscape - 1344x576 (21:9)", + + # SDXL Resolutions - Portrait + "SDXL - Portrait - 768x1024 (3:4)", + "SDXL - Portrait - 864x1152 (3:4)", + "SDXL - Portrait - 960x1280 (3:4)", + "SDXL - Portrait - 768x1152 (2:3)", + "SDXL - Portrait - 896x1344 (2:3)", + "SDXL - Portrait - 768x1344 (9:16)", + + # FLUX High Resolutions - Square + "FLUX - Square - 1536x1536 (1:1)", + "FLUX - Square - 1920x1920 (1:1)", + + # FLUX High Resolutions - Landscape + "FLUX - Landscape - 1536x1152 (4:3)", + "FLUX - Landscape - 1920x1440 (4:3)", + "FLUX - Landscape - 1536x1024 (3:2)", + "FLUX - Landscape - 1856x1088 (~16:9)", + "FLUX - Landscape - 1920x1280 (3:2)", + "FLUX - Landscape - 1920x1080 (16:9)", + "FLUX - Landscape - 1920x816 (21:9)", + + # FLUX High Resolutions - Portrait + "FLUX - Portrait - 1152x1536 (3:4)", + "FLUX - Portrait - 1440x1920 (3:4)", + "FLUX - Portrait - 1024x1536 (2:3)", + "FLUX - Portrait - 1088x1856 (~16:9)", + "FLUX - Portrait - 1280x1920 (2:3)", + "FLUX - Portrait - 1080x1920 (9:16)", + "FLUX - Portrait - 816x1920 (21:9)" + ],), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 64}) + } + } + + RETURN_TYPES = ("LATENT",) + FUNCTION = "generate_latent" + CATEGORY = "latent" + + def generate_latent(self, resolution_preset, batch_size=1): + # Extract dimensions from the preset string + resolution = resolution_preset.split(' - ')[2].split(' ')[0] + width, height = map(int, resolution.split('x')) + + # Create empty latent image with the selected dimensions + latent = EmptyLatentImage().generate(width, height, batch_size)[0] + + return (latent,) \ No newline at end of file diff --git a/ollama_system_job.py b/ollama_system_job.py index c127191..a6786af 100644 --- a/ollama_system_job.py +++ b/ollama_system_job.py @@ -64,7 +64,7 @@ IMPORTANT : DO NOT Include information about the overall style or artistic techn RETURN_TYPES = ("OLLAMA_JOB", "STRING",) RETURN_NAMES = ("OLLAMA_JOB", "prompt_text") FUNCTION = "get_system_prompt" - CATEGORY = "ollama" + CATEGORY = "Bjornulf" def get_system_prompt(self, selected_prompt, custom_prompt_prefix, OLLAMA_PERSONA=None): # Combine OLLAMA_PERSONA, custom_prompt_prefix, and selected system job diff --git a/ollama_system_persona.py b/ollama_system_persona.py index 6c4a4da..c875a38 100644 --- a/ollama_system_persona.py +++ b/ollama_system_persona.py @@ -43,7 +43,7 @@ class OllamaSystemPersonaSelector: RETURN_TYPES = ("OLLAMA_PERSONA", "STRING",) RETURN_NAMES = ("OLLAMA_PERSONA", "prompt_text") FUNCTION = "get_system_prompt" - CATEGORY = "ollama" + CATEGORY = "Bjornulf" def get_system_prompt(self, selected_prompt, custom_prompt_prefix): # space only if self.SYSTEM_PERSONAS[selected_prompt] isn't empty diff --git a/pyproject.toml b/pyproject.toml index acee695..56af87d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] name = "bjornulf_custom_nodes" -description = "79 ComfyUI nodes : Display, manipulate, and edit text, images, videos, loras and more. Manage looping operations, generate randomized content, use logical conditions and work with external AI tools, like Ollama or Text To Speech." -version = "0.61" +description = "110 ComfyUI nodes : Display, manipulate, and edit text, images, videos, loras, generate characters and more. Manage looping operations, generate randomized content, use logical conditions and work with external AI tools, like Ollama or Text To Speech." +version = "0.62" license = {file = "LICENSE"} [project.urls] diff --git a/requirements.txt b/requirements.txt index bf6cf5a..f00045e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,4 +4,10 @@ opencv-python faster_whisper ffmpeg-python re -subprocess \ No newline at end of file +subprocess +civitai-py +fal_client +shutil +hashlib +importlib +threading diff --git a/screenshots/api_black_forest.png b/screenshots/api_black_forest.png new file mode 100644 index 0000000..0119936 Binary files /dev/null and b/screenshots/api_black_forest.png differ diff --git a/screenshots/api_civitai.png b/screenshots/api_civitai.png new file mode 100644 index 0000000..c15e65d Binary files /dev/null and b/screenshots/api_civitai.png differ diff --git a/screenshots/api_civitai_lora.png b/screenshots/api_civitai_lora.png new file mode 100644 index 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b/screenshots/textgen_style.png differ diff --git a/text_generator.py b/text_generator.py new file mode 100644 index 0000000..23939e6 --- /dev/null +++ b/text_generator.py @@ -0,0 +1,3111 @@ +import random + + +class Everything(str): + def __ne__(self, __value: object) -> bool: + return False + + +class SharedLists: + #Creatures + CREATURE_TYPES = { + "Dragon": { + "name": "Dragon", + "description": "Massive reptilian creature with scales, wings, and the ability to breathe fire. Known for their intelligence and hoarding treasure." + }, + "Phoenix": { + "name": "Phoenix", + "description": "Immortal bird of flame that resurrects from its own ashes. Radiates golden light and healing energy." + }, + "Unicorn": { + "name": "Unicorn", + "description": "Majestic horse-like creature with a single spiral horn, often pure white with healing and purifying powers." + }, + "Griffin": { + "name": "Griffin", + "description": "Hybrid creature with eagle head/wings and lion body. Noble and fierce guardians of treasure." + }, + "Hydra": { + "name": "Hydra", + "description": "Multi-headed serpentine monster that grows two heads when one is cut off. Highly regenerative and aggressive." + }, + "Chimera": { + "name": "Chimera", + "description": "Monstrous hybrid with lion's head, goat's body, and serpent's tail. Breathes fire and combines the ferocity of multiple beasts." + }, + "Basilisk": { + "name": "Basilisk", + "description": "Legendary reptile known as the King of Serpents. Its gaze can turn living creatures to stone." + }, + "Kraken": { + "name": "Kraken", + "description": "Colossal sea monster with massive tentacles capable of destroying ships. Terror of the deep ocean." + }, + "Werewolf": { + "name": "Werewolf", + "description": "Human who transforms into a powerful wolf-like creature under the full moon. Possesses superhuman strength and primal instincts." + }, + "Vampire": { + "name": "Vampire", + "description": "Immortal undead being that feeds on life force or blood. Possesses supernatural powers and weakness to sunlight." + }, + "Goblin": { + "name": "Goblin", + "description": "Small, grotesque humanoid known for craftiness and greed. Often skilled in mechanical crafts and trickery." + }, + "Troll": { + "name": "Troll", + "description": "Large, brutish creature with regenerative abilities. Known for their immense strength and primitive nature." + }, + "Ogre": { + "name": "Ogre", + "description": "Giant humanoid known for great strength and limited intelligence. Often solitary and territorial." + }, + "Fairy": { + "name": "Fairy", + "description": "Tiny winged humanoid with magical powers. Associated with nature and mischievous enchantments." + }, + "Pixie": { + "name": "Pixie", + "description": "Small, winged sprite known for playful nature and magical pranks. Often leaves a trail of sparkles." + }, + "Mermaid": { + "name": "Mermaid", + "description": "Aquatic being with human upper body and fish tail. Known for enchanting songs and marine magic." + }, + "Centaur": { + "name": "Centaur", + "description": "Half-human, half-horse creature skilled in archery and astronomy. Known for wisdom and wild nature." + }, + "Minotaur": { + "name": "Minotaur", + "description": "Powerful creature with human body and bull's head. Known for incredible strength and maze-dwelling." + }, + "Harpy": { + "name": "Harpy", + "description": "Creature with woman's head and bird's body. Known for their shrieking calls and vicious nature." + }, + "Sphinx": { + "name": "Sphinx", + "description": "Wise creature with human head and lion's body. Known for posing riddles and guarding ancient secrets." + }, + "Cerberus": { + "name": "Cerberus", + "description": "Three-headed hound that guards the underworld. Each head possesses unique abilities and awareness." + }, + "Pegasus": { + "name": "Pegasus", + "description": "Majestic winged horse with pure white coat. Symbol of divine inspiration and heroic adventures." + }, + "Manticore": { + "name": "Manticore", + "description": "Persian legendary creature with lion's body, human face, and scorpion's tail. Known for its deadly poison." + }, + "Gorgon": { + "name": "Gorgon", + "description": "Female creature with snakes for hair whose gaze turns victims to stone. Powerful and cursed being." + }, + "Selkie": { + "name": "Selkie", + "description": "Seal-like creature that can shed its skin to become human. Associated with the sea and shapeshifting." + }, + "Yeti": { + "name": "Yeti", + "description": "Massive ape-like creature dwelling in snowy mountains. Known for supernatural strength and cold resistance." + }, + "Sasquatch": { + "name": "Sasquatch", + "description": "Large, hairy humanoid of the forests. Elusive and powerful, with remarkable survival abilities." + }, + "Wendigo": { + "name": "Wendigo", + "description": "Gaunt, towering spirit of winter and hunger. Possesses the power to induce madness and endless hunger." + }, + "Djinn": { + "name": "Djinn", + "description": "Powerful spirit of smokeless fire with reality-altering powers. Master of wishes and ancient magic." + }, + "Ifrit": { + "name": "Ifrit", + "description": "Powerful fire spirit with immense magical abilities. Associated with the underground and flames." + }, + "Banshee": { + "name": "Banshee", + "description": "Female spirit whose wail heralds death. Capable of inducing terror and predicting doom." + }, + "Kelpie": { + "name": "Kelpie", + "description": "Shape-shifting water spirit appearing as a horse. Lures victims into water with its supernatural beauty." + }, + "Nymph": { + "name": "Nymph", + "description": "Nature spirit embodying natural features. Possesses powerful nature magic and eternal youth." + }, + "Dryad": { + "name": "Dryad", + "description": "Tree spirit bound to its forest home. Protector of woods with power over plant life." + }, + "Leprechaun": { + "name": "Leprechaun", + "description": "Tiny, clever fairy known for making shoes and hoarding gold. Masters of trickery and illusion." + }, + "Ghoul": { + "name": "Ghoul", + "description": "Undead creature that feeds on corpses. Possesses supernatural strength and disease-spreading abilities." + }, + "Zombie": { + "name": "Zombie", + "description": "Reanimated corpse driven by hunger for flesh. Spreads undeath through bites and scratches." + }, + "Skeleton Warrior": { + "name": "Skeleton Warrior", + "description": "Animated skeleton with combat abilities. Immune to conventional wounds and tireless in battle." + }, + "Specter": { + "name": "Specter", + "description": "Vengeful ghost with the power to drain life force. Can pass through solid objects and inspire terror." + }, + "Wraith": { + "name": "Wraith", + "description": "Incorporeal undead being that feeds on life essence. Invisible to normal sight and immune to physical harm." + }, + "Shade": { + "name": "Shade", + "description": "Shadow-like undead entity that stalks in darkness. Can manipulate shadows and drain strength." + }, + "Dullahan": { + "name": "Dullahan", + "description": "Headless horseman carrying its own head. Herald of death whose speech can stop hearts." + }, + "Cthulhu": { + "name": "Cthulhu", + "description": "Ancient cosmic entity with octopus-like head and dragon wings. Drives mortals mad with its mere presence." + }, + "Deep One": { + "name": "Deep One", + "description": "Fish-like humanoid dwelling in ocean depths. Possesses immortality and supernatural strength." + }, + "Shoggoth": { + "name": "Shoggoth", + "description": "Amorphous mass of protoplasm with countless eyes. Can change shape and absorb matter." + }, + "Behemoth": { + "name": "Behemoth", + "description": "Massive beast of biblical proportions. Embodiment of natural might and unstoppable force." + }, + "Leviathan": { + "name": "Leviathan", + "description": "Colossal sea serpent of primordial chaos. Can create whirlpools and command storms." + }, + "Rakshasa": { + "name": "Rakshasa", + "description": "Shape-shifting demon with backward hands. Master of illusion and magical deception." + }, + "Asura": { + "name": "Asura", + "description": "Multi-armed celestial being with divine powers. Warrior spirit with supernatural combat abilities." + }, + "Nagini": { + "name": "Nagini", + "description": "Powerful serpent being with human features. Possesses deadly venom and magical abilities." + }, + "Chupacabra": { + "name": "Chupacabra", + "description": "Blood-drinking creature with spikes and large eyes. Known for attacking livestock with vampiric abilities." + }, + "Mothman": { + "name": "Mothman", + "description": "Winged humanoid with glowing red eyes. Associated with impending disasters and prophetic visions." + }, + "Jiangshi": { + "name": "Jiangshi", + "description": "Chinese hopping vampire with rigid posture. Drains life force and moves by jumping with arms outstretched." + }, + "Gremlin": { + "name": "Gremlin", + "description": "Small, mischievous creature that sabotages machinery. Multiplies when wet and causes technological chaos." + }, + "Imp": { + "name": "Imp", + "description": "Minor demon known for mischief and minor evil deeds. Can fly and cast small spells." + }, + "Succubus": { + "name": "Succubus", + "description": "Female demon that seduces and drains life force. Shape-shifter with powerful charm abilities." + }, + "Incubus": { + "name": "Incubus", + "description": "Male demon counterpart to succubus. Preys on sleeping victims with dream manipulation powers." + }, + "Fomorian": { + "name": "Fomorian", + "description": "Ancient race of deformed giants from the sea. Possess great strength and destructive magic." + }, + "Fenrir": { + "name": "Fenrir", + "description": "Gigantic wolf of Norse mythology. Destined to devour the sun, with strength to break any chain." + }, + "Jörmungandr": { + "name": "Jörmungandr", + "description": "World Serpent so large it encircles the earth. Its release heralds the end of the world." + }, + "Hippogriff": { + "name": "Hippogriff", + "description": "Half-eagle, half-horse hybrid creature. Combines speed of horse with eagle's flight abilities." + }, + "Wyvern": { + "name": "Wyvern", + "description": "Dragon-like creature with two legs and wings. Known for poisonous bite and aerial hunting." + }, + "Cockatrice": { + "name": "Cockatrice", + "description": "Hybrid of rooster and dragon that can petrify. Its gaze and breath can turn victims to stone." + }, + "Salamander": { + "name": "Salamander", + "description": "Magical lizard that lives in and breathes fire. Immune to flames and radiates intense heat." + }, + "Lamia": { + "name": "Lamia", + "description": "Half-woman, half-serpent creature that devours children. Known for seductive powers and prophetic abilities." + }, + "Seraphim": { + "name": "Seraphim", + "description": "Highest order of angels with six wings. Radiate divine light and burning holy power." + }, + "Cherubim": { + "name": "Cherubim", + "description": "Angelic beings with four faces and multiple wings. Guard divine places with flaming swords." + }, + "Golem": { + "name": "Golem", + "description": "Animated construct made of clay or stone. Follows commands literally with immense strength." + }, + "Elemental": { + "name": "Elemental", + "description": "Pure manifestation of natural forces. Commands power over their respective element." + }, + "Shadow Demon": { + "name": "Shadow Demon", + "description": "Demon made of living darkness. Can possess shadows and inspire terror." + }, + "Hellhound": { + "name": "Hellhound", + "description": "Demonic dog with burning eyes and fiery breath. Guards the gates of the underworld." + }, + "Bone Dragon": { + "name": "Bone Dragon", + "description": "Skeletal dragon reanimated by dark magic. Breathes death and commands undead." + }, + "Frost Giant": { + "name": "Frost Giant", + "description": "Massive humanoid of ice and snow. Commands winter storms and freezing magic." + }, + "Fire Giant": { + "name": "Fire Giant", + "description": "Enormous being of living flame and magma. Wreaks destruction with burning weapons and heat." + }, + "Storm Giant": { + "name": "Storm Giant", + "description": "Colossal giant commanding weather and lightning. Can summon tempests and thunder." + }, + "Zombie Dragon": { + "name": "Zombie Dragon", + "description": "Undead dragon reanimated by necromancy. Breathes plague and decay instead of fire." + }, + "Sea Serpent": { + "name": "Sea Serpent", + "description": "Enormous aquatic monster with serpentine body. Creates whirlpools and capsizes ships." + }, + "Anubite": { + "name": "Anubite", + "description": "Jackal-headed warrior with divine powers. Guards tombs and judges souls of the dead." + }, + "Grim Reaper": { + "name": "Grim Reaper", + "description": "Personification of death with scythe and black robes. Harvests souls and guides them to afterlife." + }, + "Poltergeist": { + "name": "Poltergeist", + "description": "Noisy ghost that manipulates physical objects. Creates chaos through telekinetic powers." + }, + "Will-o'-the-Wisp": { + "name": "Will-o'-the-Wisp", + "description": "Mysterious floating light that leads travelers astray. Appears in swamps and dark forests." + }, + "Boggart": { + "name": "Boggart", + "description": "Household spirit that causes mischief and fear. Can shapeshift to match victims' worst fears." + }, + "Barghest": { + "name": "Barghest", + "description": "Goblin-dog hybrid that hunts at night. Can shapeshift and foretells death with its howl." + }, + "Naga": { + "name": "Naga", + "description": "Snake-human hybrid with powerful magic. Masters of ancient wisdom and deadly poison." + }, + "Kami": { + "name": "Kami", + "description": "Nature spirit of Japanese mythology. Protects natural features and grants blessings." + }, + "Tengu": { + "name": "Tengu", + "description": "Bird-like spirit with long nose and wings. Master of martial arts and mountain magic." + }, + "Kappa": { + "name": "Kappa", + "description": "Water imp with bowl-like head depression. Knows healing arts but can be mischievous." + }, + "Oni": { + "name": "Oni", + "description": "Horned demon with colorful skin and great strength. Wields iron clubs and commands lightning." + }, + "Yokai": { + "name": "Yokai", + "description": "Supernatural being of Japanese folklore. Various forms with unique supernatural abilities." + }, + "Bakemono": { + "name": "Bakemono", + "description": "Shape-shifting monster of Japanese legend. Can transform into various objects and creatures." + }, + "Slime": { + "name": "Slime", + "description": "Amorphous creature made of living ooze. Can absorb and dissolve various materials." + }, + "Mimic": { + "name": "Mimic", + "description": "Shape-shifting creature that disguises as objects. Surprises prey with sudden attacks." + }, + "Beholder": { + "name": "Beholder", + "description": "Floating spherical monster with multiple eye stalks. Each eye projects different magical effects." + }, + "Mind Flayer": { + "name": "Mind Flayer", + "description": "Tentacle-faced humanoid with psychic powers. Feeds on brains and dominates minds." + }, + "Aboleth": { + "name": "Aboleth", + "description": "Ancient aquatic being with psychic abilities. Enslaves minds and remembers all history." + }, + "Displacer Beast": { + "name": "Displacer Beast", + "description": "Panther-like creature with tentacles that appears shifted from its true location. Master of illusion." + }, + "Umber Hulk": { + "name": "Umber Hulk", + "description": "Powerful burrowing monster with confusing gaze. Can tunnel through solid rock." + }, + "Bulette": { + "name": "Bulette", + "description": "Armored creature that burrows and leaps from underground. Known as the 'landshark'." + }, + "Rust Monster": { + "name": "Rust Monster", + "description": "Insectoid creature that corrodes metal on contact. Drawn to metallic objects and armor." + }, + "Gelatinous Cube": { + "name": "Gelatinous Cube", + "description": "Transparent cubic ooze that absorbs and digests all in its path. Perfectly shaped for dungeon corridors." + }, + "Treant": { + "name": "Treant", + "description": "Sentient tree being of immense size and strength. Commands nature and protects forests." + }, + "Ent": { + "name": "Ent", + "description": "Ancient shepherd of the forest in tree form. Slow to anger but terrible in wrath." + }, + "Balrog": { + "name": "Balrog", + "description": "Demon of shadow and flame with burning whip. Ancient evil with wings of darkness and terror." + }, + "Nazgûl": { + "name": "Nazgûl", + "description": "Wraith-like being in black robes with terrifying screech. Former kings corrupted by dark power." + }, + "Uruk-hai": { + "name": "Uruk-hai", + "description": "Enhanced orc warrior bred for battle. Stronger, larger, and more intelligent than common orcs." + }, + "Shelob": { + "name": "Shelob", + "description": "Giant spider of ancient evil. Weaves webs of darkness and hunts with paralyzing venom." + }, + "Warg": { + "name": "Warg", + "description": "Evil wolf-like creature of great size and cunning. Often used as mounts by orcs." + }, + "Fell Beast": { + "name": "Fell Beast", + "description": "Winged dragon-like mount of the Nazgûl. Strikes terror with its otherworldly screech." + }, + "Ettin": { + "name": "Ettin", + "description": "Two-headed giant with brutal strength. Each head has its own personality and thoughts." + }, + "Quetzalcoatl": { + "name": "Quetzalcoatl", + "description": "Feathered serpent deity of wisdom. Commands wind and knowledge with divine power." + }, + "Garuda": { + "name": "Garuda", + "description": "Divine bird-human hybrid of immense size. Solar deity with power over winds and flight." + }, + "Thunderbird": { + "name": "Thunderbird", + "description": "Massive bird that creates storms with its wings. Controls weather and shoots lightning from its eyes." + }, + "Amphiptere": { + "name": "Amphiptere", + "description": "Winged serpent with feathered wings. Agile flyer with venomous bite." + }, + "Jabberwock": { + "name": "Jabberwock", + "description": "Fearsome dragon-like creature with flaming eyes. Whiffling and burbling as it hunts." + }, + "Nemean Lion": { + "name": "Nemean Lion", + "description": "Giant lion with impenetrable golden fur. Immune to conventional weapons." + }, + "Satyr": { + "name": "Satyr", + "description": "Half-human, half-goat being of revelry. Masters of music and woodland magic." + }, + "Faun": { + "name": "Faun", + "description": "Gentle forest spirit with goat legs. Plays enchanting music on pipes." + }, + "Echidna": { + "name": "Echidna", + "description": "Mother of monsters, half-woman half-snake. Immortal nymph who bears legendary creatures." + }, + "Typhon": { + "name": "Typhon", + "description": "Father of monsters with hundred dragon heads. Creates storms and natural disasters." + }, + "Cyclops": { + "name": "Cyclops", + "description": "Giant with single eye in center of forehead. Master craftsman with incredible strength." + }, + "Siren": { + "name": "Siren", + "description": "Beautiful being whose song lures sailors to doom. Voice can enchant and control minds." + }, + "Scylla": { + "name": "Scylla", + "description": "Multi-headed sea monster with dog-like heads. Snatches sailors from passing ships." + }, + "Charybdis": { + "name": "Charybdis", + "description": "Living whirlpool that swallows ships whole. Creates massive water vortexes." + }, + "Hecatoncheires": { + "name": "Hecatoncheires", + "description": "Hundred-armed giant of immense power. Can perform hundred actions simultaneously." + }, + "Lilith": { + "name": "Lilith", + "description": "First demon woman with powerful dark magic. Mother of monsters and night creatures." + }, + "Astral Projection": { + "name": "Astral Projection", + "description": "Spirit form that travels through astral plane. Ethereal being of pure consciousness." + }, + "Djinn of the Lamp": { + "name": "Djinn of the Lamp", + "description": "Powerful wish-granting spirit bound to lamp. Masters of reality-altering magic." + }, + "Genasi": { + "name": "Genasi", + "description": "Humanoid embodiment of elemental forces. Commands power of their elemental heritage." + }, + "Planar Entity": { + "name": "Planar Entity", + "description": "Being from another dimension or reality. Possesses powers alien to natural world." + }, + "Ethereal Spirit": { + "name": "Ethereal Spirit", + "description": "Ghost-like being that exists between planes. Can phase through matter and possess objects." + }, + "Archon": { + "name": "Archon", + "description": "Celestial being of pure law and good. Radiates divine light and authority." + }, + "Demon Lord": { + "name": "Demon Lord", + "description": "Ruler of demonic forces with corrupt power. Commands legions of lesser demons." + }, + "Archdemon": { + "name": "Archdemon", + "description": "Highest ranking demon of tremendous power. Embodies specific aspect of evil and corruption." + } + } + + LAND_ANIMALS = [ + # Tiny (less than 1 foot) + "Mouse", "Hamster", "Ant", "Gecko", "Shrew", "Cricket", "Ladybug", "Butterfly", "Grasshopper", "Scorpion", + + # Small (1-3 feet) + "Cat", "Rabbit", "Fox", "Raccoon", "Beaver", "Skunk", "Squirrel", "Chicken", "Meerkat", "Koala", + + # Medium (3-8 feet) + "Wolf", "Dog", "Deer", "Lion", "Tiger", "Bear", "Leopard", "Cheetah", "Pig", "Sheep", + + # Large (8-15 feet) + "Horse", "Cow", "Moose", "Bison", "Rhinoceros", "Hippopotamus", "Giraffe", "Camel", "Elk", "Buffalo", + + # Huge (15-30 feet) + "Elephant", "Grizzly Bear", "Polar Bear", "Gorilla", "Anaconda", "Python", "Komodo Dragon", "Ostrich", "Kangaroo", "Sloth Bear", + + # Colossal (30-100 feet) + "Brachiosaurus", "Tyrannosaurus Rex", "Spinosaurus", "Pteranodon", "Mammoth", "Ground Sloth", "Paraceratherium", "Deinotherium", "Woolly Rhinoceros", "Gigantopithecus", + + # Gigantic (100+ feet) + "Argentinosaurus", "Supersaurus", "Diplodocus", "Amphicoelias", "Ultrasaurus", "Sauroposeidon", "Titanosaurus", "Paralititan", "Antarctosaurus", "Mamenchisaurus" + ] + + WATER_ANIMALS = [ + # Tiny (less than 1 foot) + "Guppy", "Seahorse", "Clownfish", "Shrimp", "Crab", "Starfish", "Sea Urchin", "Jellyfish", "Coral Polyp", "Plankton", + + # Small (1-3 feet) + "Piranha", "Flying Fish", "Angel Fish", "Lobster", "Octopus", "Sea Bass", "Cuttlefish", "Ray", "Eel", "Salmon", + + # Medium (3-8 feet) + "Dolphin", "Tuna", "Barracuda", "Sea Turtle", "Seal", "Manta Ray", "Swordfish", "Sturgeon", "Grouper", "Nurse Shark", + + # Large (8-15 feet) + "Great White Shark", "Tiger Shark", "Hammerhead Shark", "Sea Lion", "Beluga Whale", "Narwhal", "Manatee", "Dugong", "Giant Grouper", "Marlin", + + # Huge (15-30 feet) + "Orca", "Great White Shark", "Saltwater Crocodile", "Giant Pacific Octopus", "Greenland Shark", "Basking Shark", "Megalodon", "Giant Manta Ray", "Oarfish", "Giant Squid", + + # Colossal (30-100 feet) + "Sperm Whale", "Humpback Whale", "Right Whale", "Colossal Squid", "Whale Shark", "Leedsichthys", "Megalodon", "Basilosaurus", "Mosasaurus", "Kronosaurus", + + # Gigantic (100+ feet) + "Blue Whale", "Fin Whale", "Sei Whale", "Brygmophyseter", "Livyatan", "Megalodon (Largest specimens)", "Liopleurodon", "Shastasaurus", "Thalattoarchon", "Shonisaurus" + ] + + CREATURE_SIZES = [ + "Tiny", "Small", "Medium", "Large", "Huge", "Colossal", "Gigantic" + ] + + CREATURE_TEMPERAMENTS = [ + "Aggressive", "Peaceful", "Territorial", "Friendly", "Hostile", "Neutral", "Protective", + "Cunning", "Savage", "Docile", "Fearsome" + ] + + CREATURE_ABILITIES = [ + "Fire-breathing", "Ice-spawning", "Lightning-wielding", "Poison-secreting", + "Shape-shifting", "Mind-controlling", "Telepathic", "Regenerating", "Flying", + "Invisible", "Stone-turning gaze", "Water-breathing", "Earth-shaking" + ] + + CREATURE_FEATURES = [ + "Scales", "Fur", "Feathers", "Chitin", "Spikes", "Horns", "Wings", + "Multiple heads", "Tentacles", "Claws", "Fangs", "Tail", "Ethereal body" + ] + + MAGICAL_PROPERTIES = [ + "Elemental power", "Ancient magic", "Cursed", "Blessed", "Soul-stealing", + "Reality-bending", "Time-manipulating", "Dream-walking", "Nature-controlling" + ] + + # Add this to your SharedLists class + OBJECTS = [ + "sword", + "shield", + "staff", + "wand", + "book", + "scroll", + "potion", + "dagger", + "bow", + "arrow", + "spear", + "axe", + "hammer", + "gun", + "rifle", + "pistol", + "camera", + "phone", + "laptop", + "tablet", + "pen", + "pencil", + "notebook", + "bag", + "backpack", + "hat", + "glasses", + "watch", + "ring", + "necklace", + "bracelet", + "umbrella", + "lantern", + "torch", + "map", + "compass", + "key", + "lock", + "rope", + "chain", + "bottle", + "cup", + "plate", + "fork", + "knife", + "spoon", + "guitar", + "violin", + "drum", + "flute", + "microphone", + "paintbrush", + "canvas", + "sculpture", + "trophy", + "medal", + "flag", + "banner", + "crystal", + "gem", + "orb", + "mirror", + "clock", + "hourglass", + "basket", + "box", + "chest", + "coin", + "card", + "dice", + "mask", + "crown", + "scepter", + "throne", + ] + + # OBJECTS POSE STUFF + POSE_OBJECT = [ + "holding", + "carrying", + "looking at", + "examining", + "reaching for", + "grabbing", + "lifting", + "showing", + "presenting", + "playing with", + "manipulating", + "inspecting", + "balancing", + "throwing", + "catching", + "offering", + "wielding", + "aiming", + "pointing at", + "touching" + ] + + # Style-related lists + ARTISTIC_STYLES = [ + "photography", "oil painting", "watercolor", "digital art", "pencil sketch", "anime", + "photorealistic", "comic book", "impressionist", "pop art", "minimalist", + "concept art", "3D render", "cinematic", "studio photography", "film noir" + ] + + COLOR_PALETTES = [ + "vibrant", "muted", "monochromatic", "pastel", "dark and moody", + "warm", "cool", "high contrast", "earthy", "neon", + "vintage", "black and white", "sepia", "technicolor", "iridescent" + ] + + LIGHTING_TYPES = [ + "natural", "dramatic", "soft", "harsh", "backlit", + "rim lighting", "volumetric", "ambient", "studio", "cinematic", + "golden hour", "blue hour", "neon", "candlelit", "spotlit" + ] + + MOODS = [ + "peaceful", "mysterious", "dramatic", "romantic", "melancholic", + "energetic", "serene", "tense", "whimsical", "ethereal", + "dark", "cheerful", "nostalgic", "dreamy", "epic" + ] + + COMPOSITIONS = [ + "rule of thirds", "symmetrical", "dynamic", "minimalist", "centered", + "diagonal", "framed", "leading lines", "golden ratio", "panoramic", "dutch angle" + ] + + # Scene-related lists + SCENE_TYPES = [ + "urban", "natural", "fantasy", "sci-fi", "historical", + "industrial", "domestic", "underwater", "aerial", "space", + "post-apocalyptic", "medieval", "futuristic", "tropical", "arctic" + ] + + TIME_PERIODS = [ + "dawn", "morning", "noon", "afternoon", "dusk", + "night", "midnight", "golden hour", "blue hour", "twilight" + ] + + WEATHER_CONDITIONS = [ + "clear", "cloudy", "rainy", "stormy", "snowy", + "foggy", "misty", "windy", "sunny", "overcast", + "thunderstorm", "hazy", "humid", "frosty", "tropical" + ] + + AMBIANCE_TYPES = [ + "peaceful", "mysterious", "chaotic", "serene", "bustling", + "abandoned", "lively", "magical", "dystopian", "utopian", + "ancient", "modern", "timeless", "ethereal", "supernatural" + ] + + SETTINGS = [ + "city street", "forest", "beach", "mountains", "desert", + "castle", "spaceship", "underwater city", "floating islands", "cyberpunk city", "shadow realm", "swamp", "volcano", "arctic", "sky" + "ancient ruins", "space station", "magical realm", "steampunk world", "parallel dimension", + "snowy tundra", "volcanic island", "abandoned theme park", "alien planet", "dystopian future", + "post-apocalyptic wasteland", "enchanted forest", "underworld", "moon base", "faerie kingdom", + "dreamscape", "mystical cave", "giant's lair", "superhero city", "nuclear wasteland", + "retro-futuristic city", "medieval village", "ancient library", "time machine interior", "supernatural mansion", + "dark alleyway", "secret laboratory", "holographic world", "floating city", "temple ruins", + "hidden jungle", "space colony", "fantasy kingdom", "mythical mountain", "glowing cave", + "interdimensional rift", "underground bunker", "abandoned subway", "magic academy", "suburban neighborhood", + "artificial intelligence city", "cybernetic jungle", "world on fire", "parallel universe", "virtual reality landscape", + "sunken shipwreck", "enchanted castle", "cloud city", "futuristic metropolis", "labyrinthine ruins", + "swampy marshlands", "toxic wasteland", "magician's tower", "swirling vortex", "ancient temple", + "tropical island", "underground world", "geothermal spring", "haunted forest", "ice planet", + "glittering city", "steampunk airship", "spooky mansion", "digital world", "wizard's tower", + "deserted island", "space-time anomaly", "ancient battlefield", "crystal cavern", "underwater ruins", + "abandoned military base", "stormy ocean", "mystical oasis", "frozen tundra", "high-tech laboratory", + "rustic farmhouse", "glowing meadow", "alien jungle", "robot city", "hidden temple", + "demonic realm", "lost city", "barren wasteland", "moonlit bay", "twisted carnival", + "vampire's castle", "clockwork world", "intergalactic market", "fantasy battlefield", "sunny meadow", + "mysterious island", "spaceport", "hacker's lair", "ancient fortress", "robotic wasteland" + ] + + # BASIC COLORS / OUTFITS + BASIC_COLORS = [ + "black", "white", "grey" + ] + + COLORS = [ + "black", "white", "grey", "red", "crimson", "scarlet", "burgundy", "pink", + "rose", "purple", "violet", "lavender", "blue", "navy", "sky", "cyan", "teal", + "green", "emerald", "lime", "yellow", "gold", "orange", "brown", "tan", + "beige", "silver", "metallic", "transparent" + ] + + STYLES = [ + "casual", "formal", "business", "streetwear", "athletic", "fantasy", "sci-fi", + "historical", "military", "punk", "gothic", "bohemian", "minimal", "elegant", + "vintage", "grunge", "preppy", "romantic", "avant-garde", "cyberpunk", + "steampunk", "lolita", "kawaii" + ] + + MALE_OUTFITS = { + "TOPS": [ + "t-shirt", "button-up shirt", "sweater", "hoodie", "tank top", "dress shirt", + "polo shirt", "blazer", "suit jacket", "military jacket", "bomber jacket", + "windbreaker", "leather jacket", "v-neck shirt", "long sleeve shirt", "henley", + "cardigan", "flannel shirt", "sweatshirt", "puffer jacket", "parka", "fleece jacket", + "chambray shirt", "duster coat", "peacoat", "raincoat", "golf shirt", "thermal shirt", + "polo neck", "crew neck shirt", "sherpa jacket" + ], + "BOTTOMS": [ + "jeans", "slacks", "trousers", "cargo pants", "dress pants", + "shorts", "bermudas", "joggers", "track pants", "denim shorts", + "chinos", "bootcut jeans", "skinny jeans", "wide leg pants", "sweatpants", + "overalls", "corduroys", "leather pants", "high-waisted pants", "capris", + "harem pants", "biker shorts" + ], + "OUTERWEAR": [ + "trench coat", "overcoat", "parka", "rain jacket", "varsity jacket", + "bomber jacket", "military jacket", "denim jacket", "pea coat", "blazer", + "puffer jacket", "windbreaker", "leather jacket", "duster coat", "chore jacket", + "chanel-style jacket", "fleece jacket", "work jacket", "polo jacket", "cardigan sweater" + ], + "FOOTWEAR": [ + "sneakers", "oxford shoes", "loafers", "dress shoes", "chelsea boots", + "combat boots", "derby shoes", "slip-ons", "work boots", "flip-flops", + "boat shoes", "moccasins", "brogues", "athletic shoes", "high-top sneakers", + "running shoes", "sandals", "hiking boots", "desert boots", "chukka boots" + ], + "HEAD_ITEMS": [ + "fedora", "beanie", "baseball cap", "bucket hat", "cowboy hat", + "wide-brim hat", "trilby", "visor hat", "boater hat", "newsboy cap", + "flat cap", "snapback", "wool hat", "straw hat", "trapper hat", + "panama hat", "military cap", "pork pie hat", "safari hat", "top hat", + "bowler hat", "aviator cap", "hunting cap", "hard hat", "beret", + "biker helmet", "sports helmet", "skull cap", "headband", "durag" + ], + "EYE_ITEMS": [ + "sunglass", "aviator", "wayfarer", "retro sunglass", "polarized sunglass", + "goggle", "tactical goggle", "steampunk goggle", "visor cap", "sun visor" + ], + "MOUTH_ITEMS": [ + "bandana", "scarf", "neck gaiter", "face shield", "welding mask", + "leather face cover", "decorative mask", "minimalist eyemask", + "balaclava", "safari scarf" + ], + "ACCESSORIES": [ + "watch", "tie", "bow tie", "hat", "cap", "scarf", "belt", "backpack" + ] + } + + FEMALE_OUTFITS = { + "TOPS": [ + "t-shirt", "shirt", "sweater", "hoodie", "tank top", "dress shirt", + "button-up shirt", "turtleneck", "polo shirt", "blazer", "suit jacket", + "military jacket", "bomber jacket", "windbreaker", "leather jacket", + "v-neck shirt", "long sleeve shirt", "henley", "cardigan", "flannel shirt", + "sweatshirt", "crop top", "puffer jacket", "parka", "fleece jacket", + "chambray shirt", "duster coat", "peacoat", "raincoat", "golf shirt", + "thermal shirt", "polo neck", "crew neck shirt", "kimono", "sherpa jacket", + "bra", "bralette", "sports bra", "bikini top", "corset", "bustier", "lingerie", + "silk robe", "lace top", "camisole", "pajama set" + ], + "BOTTOMS": [ + "jeans", "slacks", "trousers", "cargo pants", "dress pants", + "shorts", "bermudas", "joggers", "track pants", "denim shorts", "leggings", + "chinos", "bootcut jeans", "skinny jeans", "wide leg pants", + "palazzo pants", "paperbag waist pants", "sweatpants", "overalls", "corduroys", + "leather pants", "high-waisted pants", "capris", "harem pants", "biker shorts", + "denim skirt", "pencil skirt", "midi skirt", "maxi skirt", "mini skirt", + "A-line skirt", "pleated skirt", "skorts", "skater skirt", + "panties", "boyshorts", "thong", "denim thong", "mesh shorts", "leather shorts", + "lace shorts", "see-through leggings", "cut-off shorts", "ripped jeans", "chamois pants", + "vinyl pants", "sequined pants", "jogger shorts", "spandex shorts", "tight leather pants", + "short shorts", "cheeky shorts", "bandage skirt", "faux leather skirt", "leather mini skirt", + "latex pants", "harness pants", "motorcycle pants", "cargo shorts", "tactical pants", + "fishnet stockings", "lace stockings", "thigh-high stockings", "sheer stockings", + "fishnet tights", "mesh stockings", "over-the-knee stockings", "suspender stockings", + "wet-look leggings", "latex stockings", "lace garter belt", "silk stockings" + ], + "DRESSES": [ + "dress", "sundress", "wrap dress", "cocktail dress", "evening gown", "princess dress", + "babydoll dress", "bodycon dress", "shift dress", "maxi dress", "midi dress", "mini dress", + "A-line dress", "sheath dress", "high-low dress", "peplum dress", "skater dress", + "halter dress", "strapless dress", "tunic dress", "ball gown", "lace dress", "chiffon dress", + "t-shirt dress", "denim dress", "floral dress", "knit dress", "sweater dress" + ], + "FULL_BODY_CLOTHES": [ + "jumpsuit", "romper", "playsuit", "catsuit", "bodysuit", "unitard", "leotard", + "overalls", "dungarees", "boilersuit", "flight suit", "ski suit", "wetsuit", + "onesie", "palazzo jumpsuit", "culotte jumpsuit", "denim jumpsuit", + "utility jumpsuit", "wide-leg jumpsuit", "sleeveless jumpsuit", "halter jumpsuit", + "strapless jumpsuit", "lace jumpsuit", "satin jumpsuit", "velvet jumpsuit", + "corset bodysuit", "mesh bodysuit", "long sleeve bodysuit", "turtleneck bodysuit", + "backless bodysuit", "dance leotard", "gymnastics leotard" + ], + "OUTERWEAR": [ + "cape", "shawl", "fur coat", "duffle coat", "trench coat", "puffer jacket", "parka", + "pea coat", "blazer", "cardigan", "bolero jacket", "duster", "raincoat", "cloak", + "leather jacket", "denim jacket", "military jacket", "bomber jacket", "oversized coat", + "chanel-style jacket", "teddy coat", "long coat", "cropped jacket", "poncho", "cardigan sweater", + "fur stole", "capelet", "fur-lined coat" + ], + "FOOTWEAR": [ + "pumps", "stilettos", "kitten heels", "block heels", "thigh-high boots", + "ballet shoes", "sandals", "sneakers", "oxford shoes", "loafers", "dress shoes", + "chelsea boots", "combat boots", "derby shoes", "slip-ons", "work boots", + "flip-flops", "boat shoes", "moccasins", "brogues", "athletic shoes", + "high-top sneakers", "running shoes", "hiking boots", "desert boots", "chukka boots" + ], + "HEAD_ITEMS": [ + "sun hat", "fedora", "beanie", "beret", "baseball cap", + "bucket hat", "cloche hat", "cowboy hat", "wide-brim hat", "trilby", + "visor hat", "boater hat", "newsboy cap", "turban", "headscarf", + "wool hat", "straw hat", "trapper hat", "pillbox hat", "panama hat", + "hijab", "bonnet", "snapback", "hat with veil", "knit hat", + "fascinator", "skull cap", "safari hat", "military cap", "pork pie hat", + "flower crown", "tiara", "crystal headpiece", "pearl-embellished hat", + "feathered fascinator" + ], + "EYE_ITEMS": [ + "sunglass", "cat-eye sunglass", "aviator", "oversized sunglass", + "heart-shaped sunglass", "eyemask", "lace mask", "rhinestone-studded mask", + "gold-rimmed sunglass", "retro goggle", "fashion visor" + ], + "MOUTH_ITEMS": [ + "face veil", "mesh face cover", "choker with attached veil", "surgical face mask" + ], + "ACCESSORIES": [ + "necklace", "earrings", "bracelet", "rings", "tiara", "crown", + "clutch", "handbag", "hair clips", "choker" + ] + } + + COSPLAY = { + "MALE": [ + {"name": "Naruto Uzumaki", + "description": "Orange jumpsuit with black accents, headband with leaf symbol."}, + {"name": "Geralt of Rivia", + "description": "Dark leather armor, steel sword, and silver sword strapped to the back."}, + {"name": "Cloud Strife", + "description": "Sleeveless navy top, black pants, and iconic large Buster Sword."}, + {"name": "Goku", "description": "Orange martial arts gi with blue belt, boots, and wristbands."}, + {"name": "Link", "description": "Green tunic, brown belt, and pointed hat with leather boots."}, + {"name": "Darth Vader", + "description": "Black armored suit with cape and helmet, iconic red lightsaber."}, + {"name": "Captain America", + "description": "Blue suit with white star on chest, red and white stripes, and shield."}, + {"name": "Iron Man", + "description": "Red and gold armored suit with glowing arc reactor."}, + {"name": "Luffy", "description": "Red open shirt, blue shorts, yellow sash, and straw hat."}, + {"name": "Spider-Man", + "description": "Red and blue spandex suit with black web patterns and spider emblem."} + ],"FEMALE": [ + {"name": "Sailor Moon", + "description": "White sailor-style top with blue pleated skirt and red bow."}, + {"name": "Princess Leia", + "description": "White flowing dress with a high neckline, and iconic side-buns hairstyle."}, + {"name": "Elsa", + "description": "Blue sparkling gown with sheer cape and icy details."}, + {"name": "Tifa Lockhart", + "description": "White tank top, black skirt with suspenders, gloves, and boots."}, + {"name": "Lara Croft", + "description": "Tank top, cargo shorts, combat boots, and gun holsters."}, + {"name": "Asuka Langley", + "description": "Red pilot suit with futuristic armor details."}, + {"name": "Harley Quinn", + "description": "Red and black diamond-patterned outfit, with pigtails and a mallet."}, + {"name": "Wonder Woman", + "description": "Gold armor with red bodice, blue skirt, and lasso of truth."}, + {"name": "Zero Two", + "description": "Red military-style jumpsuit with white accents and horns."}, + {"name": "Mikasa Ackerman", + "description": "Brown jacket, white scarf, and beige pants with leather harness."}, + {"name": "Yennefer of Vengerberg", + "description": "Black corset, leather pants, and a fur-trimmed cloak with magical accessories."}, + {"name": "Ciri", + "description": "Light armor with a white shirt, brown gloves, and a silver sword."}, + {"name": "Ryuko Matoi", + "description": "Black and red sailor uniform with a scissor blade."}, + {"name": "Hatsune Miku", + "description": "Aqua twin-tails, futuristic gray and teal outfit with musical accessories."}, + {"name": "Samus Aran", + "description": "Metallic blue Zero Suit with sleek designs and a blaster."}, + {"name": "Bulma", + "description": "Colorful casual outfit with a utility belt, and pink 'BULMA' dress from Dragon Ball."}, + {"name": "Nezuko Kamado", + "description": "Pink kimono with geometric patterns, bamboo mouthpiece, and a black cloak."}, + {"name": "Hinata Hyuga", + "description": "Lavender jacket, black ninja pants, and her unique white eyes."}, + {"name": "Korra", + "description": "Blue Water Tribe outfit with arm bracers and boots."}, + {"name": "Bayonetta", + "description": "Black skin-tight suit with intricate details, glasses, and pistols for heels."}, + {"name": "Aerith Gainsborough", + "description": "Pink dress with red jacket and a staff."}, + {"name": "Android 18", + "description": "Blue denim jacket, striped shirt, black pants, and boots."}, + {"name": "Raven", + "description": "Dark blue cloak, black leotard, and mystical red gemstone accents."}, + {"name": "Sakura Haruno", + "description": "Red sleeveless dress with pink hair and ninja gloves."}, + {"name": "D.Va", + "description": "Blue and pink mech pilot jumpsuit with gaming headphones."}, + {"name": "Sheik", + "description": "Stealthy ninja-like outfit with wrapped fabrics and a harp."}, + {"name": "Zelda", + "description": "Elegant white and purple royal dress with gold armor accents."}, + {"name": "Ada Wong", + "description": "Red dress, black heels, and handgun accessories."}, + {"name": "Jean Grey", + "description": "Green and gold bodysuit with a fiery Phoenix emblem."} + ] + } + + FACIAL_HAIR_TYPES = [ + # General styles + "clean-shaven", "stubble", "light stubble", "heavy stubble", + # Mustaches + "pencil mustache", "handlebar mustache", "horseshoe mustache", "walrus mustache", + "chevron mustache", "toothbrush mustache", "English mustache", + # Beards + "goatee", "chinstrap beard", "soul patch", "balbo beard", + "Van Dyke beard", "full beard", "ducktail beard", "bandholz beard", + "Garibaldi beard", "short boxed beard", "Verdi beard", + # Sideburns + "mutton chops", "friendly mutton chops", "burnsides mustache", + # Specialty + "anchor beard", "imperial beard" + ] + + ASS_SHAPES = [ + # Size-based + "tiny", "small", "medium", "large", "very large", "extremely large", + # Shape-based + "round", "heart shaped", "bubble", "pear shaped", "square", + # Position/angle + "high set", "low set", "outward facing", "inward facing", + # Firmness/composition + "firm", "soft", "muscular", "toned" + ] + + BREAST_SHAPES = [ + # Size-based + "tiny", "small", "medium", "large", "very large", "extremely large", + # Shape-based + "round", "teardrop", "bell shaped", "conical", + # Position/spacing + "wide set", "close set", "high set", "low set", + # Firmness/composition + "firm", "soft", "perky", "saggy" + ] + + MATERIALS = [ + "cotton", "wool", "silk", "linen", "cashmere", + "polyester", "nylon", "spandex", "leather", "latex", + "velvet", "satin", "lace", "mesh", "tulle", + "denim", "tweed", "chiffon", "latex" + ] + + PATTERNS = [ + "solid", "striped", "plaid", "checkered", "polka dot", + "floral", "animal print", "camouflage", "paisley", "tropical", + "geometric", "abstract", "chevron", "diamond", "hexagonal", + "tie-dye", "ombre", "gradient", "glitter", "holographic", + "psychedelic", "optical illusion", "digital print", + "herringbone", "houndstooth", "argyle", "tartan", "pinstripe" + ] + + STYLE_DETAILS = [ + "fitted", "loose", "oversized", "skin-tight", "baggy", + "layered", "asymmetric", "structured", "flowing", "draped", + "distressed", "ripped", "frayed", "patched", "embellished", + "studded", "buckled", "zipped", "laced", "buttoned" + ] + + # Character-related lists + POSITIONS = [ + "left", "center", "right", "top", "bottom", + "top-left", "top-right", "bottom-left", "bottom-right" + ] + + ETHNICITIES = { + "MALE": [ + {"name": "Asian", "description": "Strong jawline, straight black hair, broad shoulders, defined cheekbones, often with monolid eyes and athletic build."}, + {"name": "Caucasian", "description": "Fair skin, strong facial features, height ranging from average to tall, facial hair potential from clean-shaven to full beard."}, + {"name": "African", "description": "Wide range of rich dark skin tones, strong facial bone structure, athletic build, various hair textures from tight coils to waves."}, + {"name": "Latino", "description": "Warm olive to brown skin, strong jawline, dark hair, prominent features, athletic to stocky build."}, + {"name": "Middle Eastern", "description": "Olive skin, thick dark hair, prominent nose, strong eyebrows, athletic build with facial hair ranging from stubble to full beard."}, + {"name": "Indian", "description": "Brown skin tones, defined features, thick black hair, strong brow, athletic to stocky build."}, + {"name": "Nord", "description": "Towering muscular build, pale skin, braided blonde or red hair, ice-blue eyes, frost-resistant features, war paint and runic tattoos."}, + {"name": "Argonian", "description": "Muscular reptilian humanoid, earth to bright-colored scales, prominent horns, spined crest, powerful tail, amber eyes with vertical pupils."}, + {"name": "Khajiit", "description": "Feline features with striped/spotted fur patterns, muscular build, retractable claws, cat-like eyes, long agile tail."}, + {"name": "High Elf", "description": "Exceptionally tall and broad-shouldered, golden skin, sharp angular features, long pointed ears, commanding presence."}, + {"name": "Dark Elf", "description": "Athletic build with ashen grey skin, intense red eyes, tribal scarification, sharp features, white hair."}, + {"name": "Drow", "description": "Obsidian black skin, stark white hair, muscular build, noble bearing, glowing red/purple eyes, sharp features."}, + {"name": "Orc", "description": "Massive muscular frame, green/grey skin, prominent tusks, fierce eyes, battle scars, tribal markings."}, + {"name": "Dwarf", "description": "Stocky powerful build, thick braided beard, weathered features, broad chest, intricate armor decorations."}, + {"name": "Dragonborn", "description": "Towering draconic humanoid, metallic/chromatic scales, horned crest, powerful tail, intimidating presence."}, + {"name": "Tiefling", "description": "Demonic features, curved horns, long tail, skin ranging from deep red to purple, golden eyes, athletic build."}, + {"name": "Aasimar", "description": "Celestial heritage, metallic-tinged skin, glowing eyes, muscular build, faint halo effect, luminous markings."}, + {"name": "Warforged", "description": "Powerful mechanical construct, metal/wood/stone plating, glowing runes, crystalline eyes, imposing frame."}, + {"name": "Na'vi", "description": "Tall athletic build, blue striped skin, large golden eyes, pointed ears, long tail, tribal markings and beads."}, + {"name": "Protoss", "description": "Tall warrior build, golden/blue skin, no mouth, glowing eyes, psychic appendages, ceremonial armor."}, + {"name": "Vulcan", "description": "Tall stature, pointed ears, slanted eyebrows, olive skin, disciplined bearing, logical expression."}, + {"name": "Tabaxi", "description": "Agile feline humanoid, spotted fur patterns, athletic build, keen eyes, long balanced tail."}, + {"name": "Goliath", "description": "Massive muscular frame, stone-like skin, tribal tattoos, calculated movements, intimidating presence."}, + {"name": "Minotaur", "description": "Hulking bull-headed humanoid, powerful horns, muscular build, thick fur, fierce demeanor."} + ], + "FEMALE": [ + {"name": "Asian", "description": "Delicate features, silky straight black hair, high cheekbones, graceful bearing, often with monolid eyes."}, + {"name": "Caucasian", "description": "Fair skin, variety of hair colors, refined features, height ranging from petite to tall."}, + {"name": "African", "description": "Rich dark skin tones, elegant facial structure, diverse hair textures from tight coils to flowing waves."}, + {"name": "Latina", "description": "Warm olive to brown skin, flowing dark hair, expressive eyes, graceful features."}, + {"name": "Middle Eastern", + "description": "Olive skin, long dark hair, defined eyebrows, almond-shaped eyes, elegant features."}, + {"name": "Indian", "description": "Brown skin tones, long thick black hair, delicate features, expressive eyes."}, + {"name": "Nord", "description": "Tall athletic build, pale skin, long braided blonde or red hair, ice-blue eyes, elegant war paint."}, + {"name": "Argonian", "description": "Sleek reptilian humanoid, iridescent scales, graceful horns, feathered crest, lithe tail."}, + {"name": "Khajiit", "description": "Elegant feline features, soft fur patterns, nimble build, bright eyes, long graceful tail."}, + {"name": "High Elf", "description": "Tall and graceful, golden skin, ethereal features, long pointed ears, regal bearing."}, + {"name": "Dark Elf", "description": "Lithe build with ashen skin, striking red eyes, flowing white hair, elegant scarification."}, + {"name": "Drow", "description": "Obsidian black skin, flowing white hair, ethereal grace, glowing eyes, aristocratic features."}, + {"name": "Orc", "description": "Athletic build, green/grey skin, small tusks, fierce beauty, elegant tribal markings."}, + {"name": "Dwarf", "description": "Strong compact build, intricate braided hair, determined features, ornate accessories."}, + {"name": "Dragonborn", "description": "Elegant draconic humanoid, shimmering scales, graceful horns, powerful presence."}, + {"name": "Tiefling", "description": "Exotic features, delicate horns, slender tail, skin from crimson to violet, hypnotic eyes."}, + {"name": "Aasimar", "description": "Divine beauty, metallic-sheened skin, radiant eyes, ethereal presence, glowing marks."}, + {"name": "Warforged", "description": "Elegant mechanical form, smooth plating, flowing runes, crystalline eyes, graceful frame."}, + {"name": "Na'vi", "description": "Tall slender build, luminescent blue skin, large amber eyes, pointed ears, decorated tail."}, + {"name": "Protoss", "description": "Tall elegant build, luminous skin, no mouth, glowing eyes, flowing psychic cords."}, + {"name": "Vulcan", "description": "Graceful stature, pointed ears, arched eyebrows, olive skin, composed bearing."}, + {"name": "Tabaxi", "description": "Lithe feline humanoid, elegant fur patterns, fluid movement, bright eyes, long tail."}, + {"name": "Goliath", "description": "Tall athletic frame, stone-like skin, flowing tribal marks, powerful grace."}, + {"name": "Minotaur", "description": "Strong bull-headed humanoid, curved horns, athletic build, fierce elegance."} + ] + } + + NATIONALITIES = [ + # Asian + "Chinese", "Japanese", "Korean", "Mongolian", "Vietnamese", + "Thai", "Filipino", "Indonesian", "Malaysian", "Singaporean", + "Nepalese", "Bhutanese", "Cambodian", "Laotian", + + # Caucasian (European & some neighboring regions) + "French", "German", "Italian", "Spanish", "Portuguese", + "Russian", "Ukrainian", "Polish", "Norwegian", "Swedish", + "Finnish", "Danish", "Dutch", "Austrian", "Greek", "Icelandic", + "Scottish", "Welsh", "English", "Irish", "Hungarian", + "Swiss", "Belgian", "Czech", "Slovak", "Serbian", + "Croatian", "Bulgarian", "Romanian", "Macedonian", "Latvian", + "Lithuanian", "Estonian", "Georgian", "Armenian", "Moldovan", + + # African + "Nigerian", "Ethiopian", "South African", "Kenyan", "Tanzanian", + "Ugandan", "Somali", "Sudanese", "Egyptian", "Algerian", + "Moroccan", "Ghanaian", "Congolese", "Rwandan", "Zimbabwean", + "Senegalese", "Malian", "Ivory Coast (Ivorian)", "Botswanan", + "Namibian", "Chadian", "Tunisian", "Libyan", + + # Latino (Hispanic/Latinx) + "Mexican", "Argentinian", "Colombian", "Peruvian", "Chilean", + "Venezuelan", "Ecuadorian", "Guatemalan", "Bolivian", + "Uruguayan", "Honduran", "Cuban", "Panamanian", + "Puerto Rican", "Costa Rican", "Dominican", "Salvadoran", + "Paraguayan", + + # Middle Eastern + "Turkish", "Persian (Iranian)", "Arabian (Saudi)", + "Iraqi", "Syrian", "Lebanese", "Jordanian", + "Israeli", "Palestinian", "Kuwaiti", "Emirati", + "Omani", "Yemeni", "Qatari", "Bahraini", + + # Indian Subcontinent + "Indian", "Pakistani", "Bangladeshi", "Sri Lankan", + "Maldivian", + + # Others + "Australian", "New Zealander (Kiwi)", "Papua New Guinean", + "Native Hawaiian", "Inuit", "Samoan", "Tongan", + "Fijian", "Maori", "Caribbean (specific islands can be listed)" + ] + + ARMORS = [ + # Prehistoric + "Bone Armor", "Wooden Plate Armor", "Reed Armor", "Stone-Studded Armor", + "Animal Hide Armor", "Fiber-Woven Armor", "Primitive Scale Armor", + + # Ancient + "Bronze Armor", "Linothorax Armor", "Scale Armor", + "Lamellar Armor", "Greek Hoplite Armor", "Assyrian Iron Armor", + "Roman Lorica Segmentata", "Persian Sparabara Armor", + "Celtic Chainmail Armor", "Etruscan Bronze Plate Armor", + "Egyptian Leather Scale Armor", "Hittite Bronze Scale Armor", + + # Medieval + "Chainmail Armor", "Gambeson Armor", "Plate Armor", + "Brigandine Armor", "Knight's Full Plate Armor", + "Padded Armor", "Boiled Leather Armor", "Splint Armor", + "Scale Hauberk Armor", "Mail-and-Plate Armor", "Kozane Samurai Armor", + "Coat of Plates", "Crusader Surcoat Armor", "Byzantine Lamellar Armor", + "Norman Hauberk Armor", "Viking Chainmail Armor", + + # Renaissance + "Maximilian Armor", "Cuirassier Armor", "Half-Plate Armor", + "Tournament Plate Armor", "Polish Hussar Winged Armor", + "Blackened Plate Armor", "Landsknecht Armor", + + # Samurai and East Asian + "O-Yoroi Samurai Armor", "Do-Maru Armor", "Han Chinese Lamellar Armor", + "Mongol Lamellar Armor", "Tibetan Lamellar Armor", + "Qing Dynasty Brigandine Armor", "Korean Brigandine Armor", + "Japanese Tatami Armor", "Ryukyuan Gusuku Armor", + "Vietnamese Lacquered Lamellar Armor", "Shikoro Armor", + + # Indigenous + "Aztec Cotton Armor", "Inca Quilted Armor", + "Native American Rawhide Armor", "Maori Woven Flax Armor", + "Zulu Cowhide Shield Armor", "Iroquois Wooden Slat Armor", + "Tupi Feathered Armor", "Pacific Islander Coconut Fiber Armor", + + # Modern Military/Steampunk + "Ballistic Armor", "Kevlar Armor", "Exoskeleton Armor", + "Powered Combat Armor", "Steampunk Brass Armor", + "Dieselpunk Mechanized Armor", "Ceramic Plate Armor", + "Carbon Fiber Combat Armor", "Graphene-Layered Armor", + "Liquid Armor Suit", "Bulletproof Combat Suit", + "Advanced Riot Control Armor", + + # Sci-Fi + "Power Armor", "Energy Shield Armor", "Mech Armor", + "Nanobot Weave Armor", "Plasma Reflective Armor", + "Force Field Armor", "Stealth Camouflage Armor", + "Cryo-Resistant Armor", "Magnetic Repulsion Armor", + "Bio-Augmented Armor", "Gravity-Dampening Armor", + "Photon Deflection Armor", "Plasma Shielded Suit", + "Radiation-Absorbing Armor", "Zero-Gravity Combat Armor", + "Neutron-Repellent Armor", "AI-Assisted Combat Suit", + "Self-Healing Nano Armor", "Quantum Phase Armor", + + # Fantasy + "Dragonbone Plate Armor", "Elven Chainmail Armor", "Dwarven Forge Plate Armor", + "Shadow Silk Armor", "Runed Mithril Plate Armor", "Obsidian Plate Armor", + "Crystal Armor", "Chitin Armor", "Demonforged Plate Armor", + "Phoenix Feather Armor", "Hydra Scale Armor", "Lichlord's Bone Armor", + "Stoneskin Plate Armor", "Celestial Radiance Armor", + "Voidwalker Armor", "Bloodsteel Armor", "Frostforged Plate Armor", + "Stormshard Armor", "Ethereal Woven Armor", "Spectral Plate Armor", + "Wyrmscale Armor", "Aegis of the Eternal Flame", "Thornwood Plate Armor", + "Silverlight Plate Armor", "Magus Enchanted Armor" + ] + + UNIFORMS = [ + # Prehistoric and Tribal + "Hunter-Gatherer Outfit", "Shaman Ritual Uniform", "Tribal War Paint Uniform", + "Ceremonial Animal Skin Robe", + + # Ancient + "Roman Legionary Uniform", "Spartan Hoplite Uniform", "Egyptian Priest Uniform", + "Persian Immortal Uniform", "Assyrian Archer Uniform", "Greek Charioteer Uniform", + "Macedonian Phalanx Uniform", "Celtic Warrior Uniform", "Babylonian Scholar Robe", + + # Medieval + "Knight's Heraldic Tabard", "Monastic Robe Uniform", "Feudal Lord's Court Uniform", + "Squire's Training Garb", "Medieval Peasant Work Uniform", + "Crusader Knight Uniform", "Medieval Merchant's Outfit", + "Plague Doctor's Uniform", "Jester's Costume Uniform", + "Court Minstrel Attire", "Tournament Jousting Tabard", + + # Renaissance + "Renaissance Merchant Uniform", "Italian City-State Militia Uniform", + "Landsknecht Soldier Uniform", "French Musketeer Uniform", + "English Longbowman Uniform", "Renaissance Painter's Robe", + "Spanish Conquistador Uniform", "Royal Courtier Uniform", + "Renaissance Scholar Gown", "Genoese Sailor Uniform", + + # Early Modern + "Napoleonic Infantry Uniform", "British Redcoat Uniform", + "French Revolutionary Guard Uniform", "American Continental Army Uniform", + "Pirate Captain's Uniform", "Privateer's Garb", + "East India Company Officer Uniform", "Spanish Armada Naval Uniform", + "Russian Imperial Guard Uniform", "Prussian Hussar Uniform", + "Ming Dynasty Imperial Guard Uniform", "Ottoman Janissary Uniform", + + # Victorian and Industrial + "Victorian Policeman Uniform", "Industrial Revolution Factory Worker Uniform", + "Victorian Nurse's Uniform", "British Officer Uniform", + "Railroad Conductor Uniform", "Steampunk Engineer Uniform", + "Victorian Schoolteacher Gown", "Steamship Captain's Uniform", + "Circus Ringmaster Costume", "Victorian Fire Brigade Uniform", + + # Modern Military + "World War I Infantry Uniform", "World War II Aviator Uniform", + "Modern Army Combat Uniform (ACU)", "Marine Corps Dress Blues", + "Navy SEAL Tactical Uniform", "Air Force Flight Suit", + "Ghillie Suit (Sniper Uniform)", "UN Peacekeeper Uniform", + "Special Forces Urban Combat Uniform", "Paratrooper Uniform", + "Artillery Officer Dress Uniform", "Submarine Crew Uniform", + "Desert Camo Uniform", "Arctic Survival Uniform", + + # Professional + "Police Officer Uniform", "Firefighter Turnout Gear", + "Paramedic Emergency Uniform", "Chef's Whites", + "Doctor's Scrubs", "Nurse's Scrubs", "Mechanic's Coveralls", + "Pilot's Flight Suit", "Train Engineer's Uniform", + "Hotel Bellhop Uniform", "Mail Carrier Uniform", + "Corporate Security Guard Uniform", "Construction Worker Safety Gear", + "Factory Worker Uniform", "Judge's Robes", + "Waiter's Service Uniform", "Clergy Vestments", + + # Academic and Sports + "Graduation Cap and Gown", "School Uniform", "Sports Team Jersey", + "Fencing Gear", "Karate Gi", "Football Quarterback Uniform", + "Track and Field Athlete Uniform", "Cyclist Uniform", + "Baseball Player Uniform", "Basketball Player Uniform", + + # Sci-Fi + "Starfleet Officer Uniform", "Space Marine Combat Suit", + "Alien Diplomatic Uniform", "Colonial Space Miner Outfit", + "Zero-Gravity Technician Uniform", "Cyberpunk Hacker Attire", + "Deep Space Pilot Suit", "Galactic Federation Guard Uniform", + "Synth Overseer Uniform", "Time Traveler's Robe Uniform", + + # Fantasy + "Elven Ranger's Uniform", "Wizard's Academic Robes", + "Dwarven Smith's Garb", "Knight-Enchanter Uniform", + "Royal Guard Uniform", "Dragon Priest's Ceremonial Robe", + "Necromancer's Robe", "Thieves' Guild Shadow Uniform", + "Battle Mage Combat Robe", "Assassin's Stealth Outfit", + "Paladin's Holy Garb", "Forest Guardian Uniform", + "Alchemist's Laboratory Coat", "Bard's Entertainer Uniform", + "Vampire Court Uniform", "Warlock's Infernal Robe" + ] + + AGES_FEMALE = ["baby girl", "girl", "teen girl", + "young woman", "woman", "elderly woman"] + AGES_MALE = ["baby boy", "boy", "teen boy", + "young man", "man", "elderly man"] + + SKIN_TONES = [ + "fair", "pale", "medium", "olive", "tan", "dark", "ebony", + "golden", "rosy", "ruddy", "porcelain", "chocolate", "mahogany", + "amber", "ivory" + ] + + EYE_COLORS = [ + "blue", "green", "brown", "hazel", "amber", "grey", + "violet", "black", "golden", "silver", "turquoise", "aqua", + "heterochromatic" + ] + + POSE_CAMERA = [ + "facing camera", "looking away from camera", + "looking towards camera", "looking past camera", "side glance at camera", + "avoiding camera", "direct eye contact with camera" + ] + + POSE_VIEW = [ + "view from the front", "view from the back", + "view from the side", "view from above", "view from below", + "three-quarter view", "profile view" + ] + + POSE_FACE = [ + "smiling", "serious", "laughing", "crying", "angry", + "neutral", "surprised", "smirking", "winking", "thoughtful", + "joyful", "flirty", "disgusted", "fearful", "confident", "curious", + "big wide smile", "closed-mouth smile", "grinning with teeth showing", + "smirk with one eyebrow raised", "playful wink", "both eyebrows raised in surprise", + "squinting in skepticism", "eyes wide open in shock", "blowing a kiss", + "cheeks puffed out", "pursed lips", "sticking tongue out playfully", + "sticking tongue out and winking", "biting lower lip", "frowning deeply", + "pout with lower lip pushed out", "teeth clenched in frustration", "grimace", + "closed eyes with a serene smile", "tears streaming down face", "sniffing back tears", + "brows furrowed in anger", "scowling", "intense glare", + "half-smile with eyes looking to the side", "expression of utter boredom", + "slight frown with head tilted", "narrowed eyes in suspicion", "cheek resting in one hand", + "laughing with head tilted back", "cheeky grin with eyes squinted", "lip curled in a sneer", + "tongue sticking out in mock disgust", "face scrunched up in mock anger", + "confused look with one eyebrow raised", "blinking rapidly in disbelief", + "mouth open in exaggerated gasp", "biting the inside of cheek", + "tongue pressed against cheek in thought", "mouth slightly open in awe", + "nostrils flared in anger", "eyes closed with a broad grin", + "head tilted with eyes closed in bliss", "half-closed eyes in tiredness", + "face scrunched in concentration", "eyebrows arched in flirtation", + "head tilted with lips slightly parted", "chin raised in defiance", + "rolling eyes dramatically", "wide eyes and mouth open in excitement", + "lips drawn into a straight line of neutrality", "sucking in cheeks", + "lip biting with shyness", "lower lip quivering in sadness", "snarling with bared teeth", + "lips puckered as if blowing", "tongue clicking against teeth", + "smiling through clenched teeth", "head tilted slightly with soft smile", + "face tilted downward with eyes looking up", "cheek resting against fist in boredom", + "glaring intensely while squinting", "eyes tightly shut in frustration", + "face in an exaggerated yawn", "sneaky grin with eyes darting to the side", + "mock shock with hands framing face", "head tilted back with mouth wide open in laughter", + "eyes narrowed with lips curled upwards", "face cringing as if tasting something sour", + "eyebrows drawn together in determination", "playful tongue between teeth", + "one eyebrow raised with a small smile", "eyelids fluttering with a dreamy expression", + "pained expression with eyes closed", "nostrils flared with head tilted back in triumph", + "terrified wide eyes and mouth agape", "trembling lower lip with tearful eyes", + "fearful expression with eyebrows high and pulled together", + "screaming face with mouth wide open and eyes shut tight", + "face frozen in shock with wide eyes and raised eyebrows", + "quivering lips with eyes darting nervously", "looking over shoulder with fearful glance", + "clenched jaw with darting eyes in paranoia", + "horrified expression with hands covering mouth", + "gasp of surprise with hands pressed to cheeks", + "face twisted in agony, teeth bared", + "face half-hidden in hands in shame", "smirking with lips curled on one side", + "sneaky smirk with narrowed eyes", "sarcastic smirk with head slightly tilted", + "eyes narrowed in resentment with tight-lipped smile", + "mocking smile with exaggerated lip curve", "sad smile with downcast eyes", + "cautious smile with one eyebrow raised", + "hesitant expression with eyes glancing sideways", + "overwhelmed expression with a shaky breath and moist eyes", + "fearful squinting with head recoiled", + "deeply worried frown with chin resting on hands", + "anxious look with lip pressed between teeth", + "shocked with hand covering one eye and wide open mouth", + "frantic expression with eyebrows raised and eyes darting around", + "expression of disbelief with head tilted slightly and a blank stare", + "teasing grin with head tilted forward", + "expression of mischief with eyes squinting and tongue peeking out" + ] + + POSE_ARMS = [ + "one hand in the air", "thumbs up with both hands", "thumbs up with one hand", + "hands raised above head", "hands behind head", "hands in pockets", "hand on chin", + "peace sign", "pointing with index finger", "hand on heart", "palm outstretched", + "hands together in prayer", "hands in front of face", "hand on cheek", "grabbing head", + "fist raised", "finger on lips", "saluting", "both hands on hips", + "arms crossed over chest", "hands resting on knees", "hand touching forehead", + "hands framing face", "fingers spread wide", "one hand on hip", + "hands clasped together", "hands cupping face", "index fingers touching", + "hands behind back", "one hand pointing up", "both hands pointing outwards", + "hand covering one eye", "fingers making a circle", "two hands clasped in front", + "arms relaxed at sides", "one hand brushing hair back", + "hand resting on chest", "one hand raised to ear", "both arms out to sides palms up", + "one hand pinching bridge of nose", "hands making a heart shape", + "one hand scratching head", "both hands in a 'stop' position", + "fingers interlocked and stretched outwards", "one hand touching neck", + "hands making a triangle shape", "one hand rubbing chin", "fingers folded together", + "both hands in fists held close to chest", "both hands outstretched upwards", + "hand resting on opposite shoulder", "one hand covering mouth in surprise", + "arms gesturing a large circle", "hand resting on hip with elbow out", + "one hand raised with palm outward", "hands together over head in a triangle", + "one hand casually dangling at the side", "both hands folded behind neck", + "hands apart and slightly forward as if pushing away", + "fingers held together in a neutral position", "hands pressed flat together above head", + "one hand tapping chin thoughtfully", "hands angled outward from waist", + "hands forming a V-shape", "both arms extended forward with hands open", + "one hand lightly touching the cheek", "both hands resting on thighs", + "hands crossed gently over chest", "one hand under chin, head tilted", + "hands resting calmly at the sides", "fingers of one hand lightly touching wrist", + "palms pressed flat together in front of chest", "arms crossed over stomach", + "arms raised with elbows bent", "elbows pointing outward", "arms bent with fists near shoulders", + "arms extended forward parallel to the ground", "arms outstretched sideways", + "arms hanging loosely at sides", "elbows tucked in tightly to sides", + "arms behind back holding opposite elbows", "elbows resting on knees in seated pose" + ] + + POSE_LEGS = [ + "one foot forward", "standing on tiptoe", "one leg slightly bent", "kick", + "kicking in the air", "one leg up", "legs crossed while standing", "legs crossed while seated", + "feet together", "feet apart", "feet wide in a stance", "squatting", + "foot pointed", "feet in lotus position", "stepping forward", "feet positioned in a lunge", + "knees bent in a crouch", "running stance with one knee bent", "sprinting stance", + "marching pose with knees raised", "walking on toes", "side stepping pose", + "feet raised off ground slightly", "sitting with legs crossed", "sitting with one knee raised", + "standing on one leg", "knee raised to waist height", "legs bent in fighting stance", + "legs extended straight in front (seated)", "legs bent inward at knees", + "one foot crossed behind the other", "one leg extended to the side", "feet in a pigeon-toed stance", + "knees pressed together", "knees apart in a relaxed seated pose", "legs angled outward in a wide squat", + "kneeling on one knee", "both knees bent slightly while standing", "legs outstretched in a V shape (seated)", + "feet touching with knees bent outward (butterfly pose)", "legs held in a figure-four shape while seated", + "standing with one leg crossed over the other at ankle", "heels raised while knees are bent", + "one foot angled outward, toes pointed", "toes turned inward while heels apart", + "one leg stretched back in a dramatic pose", "legs bent to simulate a low crouch" + ] + + POSE_BODY = [ + "standing", "twisting torso", "body bent forward", "arching back", "leaning to the side", "bending over", + "flexing muscles", "body turned sideways", "reaching forward", "stretching backwards", + "half bent", "crouching", "ducking", "laying on stomach", "laying on back", + "crawling", "squatting with arms outstretched", "sitting with back straight", "rolling body", + "jump squat", "climbing position", "hanging from something" + ] + + POSE_HEAD_NECK = [ + "head tilted", "head down", "head up", "looking over shoulder", "looking forward", + "looking to the side", "head held high", "head resting on hand", "nodding", "shaking head" + ] + POSE_DYNAMIC = [ + "running with arms outstretched", "jumping with arms raised", "kicking while running", "dancing with hands in air", + "spinning", "cartwheel", "flip", "somersault", "leap", "twisting jump", "spinning kick", + "high jump", "forward roll", "backflip", "front flip", "breakdancing move", "dance pose" + ] + + POSE_ACTION = [ + "sword fighting stance", "boxing stance", "martial arts pose", "archery stance", "holding a bow", + "shooting a gun", "throwing something", "catching something", "hitting something", "dodging", + "pushing", "pulling", "lifting", "picking up", "throwing punch", "guard stance", "block", + "kickboxing stance", "karate chop", "tai chi", "spinning staff pose", "kung fu pose", "spinning attack" + ] + + POSE_SITTING = [ + "cross-legged sitting", "legs hanging off edge", "one leg up sitting", "knees bent up sitting", + "one leg stretched out sitting", "leaning back sitting", "sitting on the floor", "sitting on a chair", + "sitting with back straight", "sitting with hands on lap" + ] + + POSE_UNIQUE = [ + "superhero pose", "yoga pose", "lotus position", "zombie walk", "angel pose", "devil pose", + "ballet pose", "high kick", "spinning fist", "hands over head", "holding a pose for balance", + "vogue pose", "exaggerated model pose", "stretching arms wide", "standing with one leg raised", + "hands clasped in front", "elbows out in victory", "hands holding head", "looking up with arms extended", + "celebrating pose", "stretching backward with arms to sides", "picking up something off the ground", + "t-rex arms", "hand over eyes shielding from sun", "hands placed firmly on hips", "twist and shout pose", + "jumping jacks", "dabbing pose", "sitting with hands behind", "leaning forward on knees", + "swaying arms to music", "bending sideways", "laying sideways" + ] + + BODY_SHAPES = [ + "athletic", "muscular", "slim", "slender", "petite", "average", "curvy", + "full-figured", "tall and lean", "short and stocky", "broad-shouldered", + "narrow-waisted", "hourglass figure", "pear-shaped", "apple-shaped", + "rectangle-shaped", "diamond-shaped", "toned", "well-built", "lean muscular", + "bodybuilder physique", "tall", "very tall", "short", "very short", + "average height", "thin", "skinny", "plump", "heavy-set", "robust", + "long-legged", "short-legged", "long-waisted", "short-waisted", + "straight-postured", "broad-chested", "square-shouldered", "round-shouldered", + "willowy", "statuesque", "compact", "lanky", "lithe", "svelte", + "sturdy", "delicate", "graceful", "imposing" + ] + + HAIR_STYLES = [ + "long", "short", "curly", "straight", "wavy", "braided", + "bald", "buzzcut", "bob", "pixie", "ponytail", "buns", "double ponytail", + "afro", "dreadlocks", "spiky", "layered", "feathered", "messy", + "tied-back", "fishtail braid", "french braid", "cornrows", "twists", + "shaved sides", "undercut", "fade", "pompadour", "quiff", + "mohawk", "faux hawk", "half-up half-down", "space buns", "ringlets" + ] + + # Background-related lists + # ENVIRONMENTS = ["indoor", "outdoor", "urban", "nature", "studio", "space"] + + TIMES_OF_DAY = ["dawn", "morning", "noon", "afternoon", "sunset", "night"] + + WEATHER = ["clear", "cloudy", "rainy", "stormy", "snowy", "foggy"] + + ATMOSPHERES = ["peaceful", "tense", "magical", "mysterious", "romantic"] + + LOCATIONS = [ + "city streets", "forest", "beach", "mountains", + "desert", "space station" + ] + + # Camera and style-related lists + CAMERA_ANGLES = [ + "front view", "side view", "three-quarter view", "back view", + "bird's eye view", "worm's eye view", "dutch angle", "over-the-shoulder", + "high angle", "low angle", "eye level", "aerial view", "tilted angle" + ] + + SHOT_TYPES = [ + "close-up", "medium shot", "full body", "wide shot", + "extreme close-up", "medium close-up", "medium long shot", + "long shot", "extreme long shot", "establishing shot" + ] + + LIGHTING = [ + "natural", "studio", "dramatic", "soft", "harsh", + "backlit", "atmospheric", "neon", "candlelight" + ] + + ART_STYLES = [ + "photography", "hyperrealism", "anime", "digital art", + "oil painting", "watercolor", "sketch", "cyberpunk" + ] + + ACTIONS = [ + "talking to each other", "fighting", "dancing", "walking together", + "having dinner", "playing games", "working together", "arguing", + "celebrating", "performing", "studying", "shopping" + ] + + +class TextGeneratorOutfitFemale: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "top": (["NONE", "RANDOM"] + SharedLists.FEMALE_OUTFITS["TOPS"], {"forceInput": False}), + "COLOR_top": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "bottom": (["NONE", "RANDOM"] + SharedLists.FEMALE_OUTFITS["BOTTOMS"], {"forceInput": False}), + "COLOR_bottom": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "dress": (["NONE", "RANDOM"] + SharedLists.FEMALE_OUTFITS["DRESSES"], {"forceInput": False}), + "COLOR_dress": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "full_body": (["NONE", "RANDOM"] + SharedLists.FEMALE_OUTFITS["FULL_BODY_CLOTHES"], {"forceInput": False}), + "COLOR_full_body": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "footwear": (["NONE", "RANDOM"] + SharedLists.FEMALE_OUTFITS["FOOTWEAR"], {"forceInput": False}), + "COLOR_footwear": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "head_item": (["NONE", "RANDOM"] + SharedLists.FEMALE_OUTFITS["HEAD_ITEMS"], {"forceInput": False}), + "COLOR_head_item": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "eye_item": (["NONE", "RANDOM"] + SharedLists.FEMALE_OUTFITS["EYE_ITEMS"], {"forceInput": False}), + "COLOR_eye_item": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "mouth_item": (["NONE", "RANDOM"] + SharedLists.FEMALE_OUTFITS["MOUTH_ITEMS"], {"forceInput": False}), + "COLOR_mouth_item": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "accessories": (["NONE", "RANDOM"] + SharedLists.FEMALE_OUTFITS["ACCESSORIES"], {"forceInput": False}), + "COLOR_accessories": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "armors": (["NONE", "RANDOM"] + SharedLists.ARMORS, {"forceInput": False}), + "uniforms": (["NONE", "RANDOM"] + SharedLists.UNIFORMS, {"forceInput": False}), + "material": (["NONE", "RANDOM"] + SharedLists.MATERIALS, {"forceInput": False}), + "pattern": (["NONE", "RANDOM"] + SharedLists.PATTERNS, {"forceInput": False}), + "style_details": (["NONE", "RANDOM"] + SharedLists.STYLE_DETAILS, {"forceInput": False}), + "style": (["NONE", "RANDOM"] + SharedLists.STYLES, {"forceInput": False}), + "cosplay": (["NONE", "RANDOM"] + [character["name"] for character in SharedLists.COSPLAY["FEMALE"]], {"forceInput": False}), + "cosplay_description": ("BOOLEAN", {"default": False}), + "CUSTOM_PROMPT": ("STRING", {"multiline": True, "default": ""}), + } + } + + RETURN_TYPES = ("GEN_OUTFIT",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def select_value(self, options, current_value, rng): + if current_value == "RANDOM": + valid_options = [ + opt for opt in options if opt not in ["RANDOM", "NONE"]] + return rng.choice(valid_options) + elif current_value == "NONE": + return "" + return current_value + + def generate(self, seed, style, top, COLOR_top, bottom, COLOR_bottom, dress, COLOR_dress, full_body, COLOR_full_body, + footwear, COLOR_footwear, accessories, COLOR_accessories, material, pattern, + head_item, COLOR_head_item, mouth_item, COLOR_mouth_item, eye_item, COLOR_eye_item, + style_details, cosplay, cosplay_description, armors, uniforms, CUSTOM_PROMPT): + rng = random.Random(seed) + + values = { + 'top': self.select_value(self.INPUT_TYPES()["required"]["top"][0], top, rng), + 'COLOR_top': self.select_value(self.INPUT_TYPES()["required"]["COLOR_top"][0], COLOR_top, rng), + 'bottom': self.select_value(self.INPUT_TYPES()["required"]["bottom"][0], bottom, rng), + 'COLOR_bottom': self.select_value(self.INPUT_TYPES()["required"]["COLOR_bottom"][0], COLOR_bottom, rng), + 'dress': self.select_value(self.INPUT_TYPES()["required"]["dress"][0], dress, rng), + 'COLOR_dress': self.select_value(self.INPUT_TYPES()["required"]["COLOR_dress"][0], COLOR_dress, rng), + 'full_body': self.select_value(self.INPUT_TYPES()["required"]["full_body"][0], full_body, rng), + 'COLOR_full_body': self.select_value(self.INPUT_TYPES()["required"]["COLOR_full_body"][0], COLOR_full_body, rng), + 'footwear': self.select_value(self.INPUT_TYPES()["required"]["footwear"][0], footwear, rng), + 'COLOR_footwear': self.select_value(self.INPUT_TYPES()["required"]["COLOR_footwear"][0], COLOR_footwear, rng), + 'head_item': self.select_value(self.INPUT_TYPES()["required"]["head_item"][0], head_item, rng), + 'COLOR_head_item': self.select_value(self.INPUT_TYPES()["required"]["COLOR_head_item"][0], COLOR_head_item, rng), + 'eye_item': self.select_value(self.INPUT_TYPES()["required"]["eye_item"][0], eye_item, rng), + 'COLOR_eye_item': self.select_value(self.INPUT_TYPES()["required"]["COLOR_eye_item"][0], COLOR_eye_item, rng), + 'mouth_item': self.select_value(self.INPUT_TYPES()["required"]["mouth_item"][0], mouth_item, rng), + 'COLOR_mouth_item': self.select_value(self.INPUT_TYPES()["required"]["COLOR_mouth_item"][0], COLOR_mouth_item, rng), + 'accessories': self.select_value(self.INPUT_TYPES()["required"]["accessories"][0], accessories, rng), + 'COLOR_accessories': self.select_value(self.INPUT_TYPES()["required"]["COLOR_accessories"][0], COLOR_accessories, rng), + 'armors': self.select_value(self.INPUT_TYPES()["required"]["armors"][0], armors, rng), + 'uniforms': self.select_value(self.INPUT_TYPES()["required"]["uniforms"][0], uniforms, rng), + 'material': self.select_value(self.INPUT_TYPES()["required"]["material"][0], material, rng), + 'pattern': self.select_value(self.INPUT_TYPES()["required"]["pattern"][0], pattern, rng), + 'style_details': self.select_value(self.INPUT_TYPES()["required"]["style_details"][0], style_details, rng), + 'style': self.select_value(self.INPUT_TYPES()["required"]["style"][0], style, rng), + 'cosplay': self.select_value(self.INPUT_TYPES()["required"]["cosplay"][0], cosplay, rng), + } + + def add_item_with_color(item, color): + if item and item != "NONE": + color_text = f" {color}" if color and color != "NONE" else "" + return f"{color_text} {item}" + return None + + desc_parts = [] + if values['style']: + desc_parts.append(f"{values['style']} style outfit") + + if values['cosplay']: + selected_cosplay = None + for category in SharedLists.COSPLAY.values(): + selected_cosplay = next( + (character for character in category if character["name"] == values['cosplay']), None) + if selected_cosplay: + break + + if selected_cosplay: + if cosplay_description: + desc_parts.append( + f"dressed as {selected_cosplay['name']}, {selected_cosplay['description']}") + else: + desc_parts.append(f"dressed as {selected_cosplay['name']}") + + if values['dress']: + desc_parts.append( + f"wearing a{add_item_with_color(values['dress'], values['COLOR_dress'])}") + else: + if values['top']: + desc_parts.append( + f"wearing a{add_item_with_color(values['top'], values['COLOR_top'])}") + if values['bottom']: + desc_parts.append( + f"with{add_item_with_color(values['bottom'], values['COLOR_bottom'])}") + + if values['footwear']: + desc_parts.append( + f"wearing{add_item_with_color(values['footwear'], values['COLOR_footwear'])}") + + if values['head_item']: + desc_parts.append( + f"wearing{add_item_with_color(values['head_item'], values['COLOR_head_item'])}") + if values['eye_item']: + desc_parts.append( + f"wearing{add_item_with_color(values['eye_item'], values['COLOR_eye_item'])}") + if values['mouth_item']: + desc_parts.append( + f"wearing{add_item_with_color(values['mouth_item'], values['COLOR_mouth_item'])}") + + if values['full_body']: + desc_parts.append( + f"wearing{add_item_with_color(values['full_body'], values['COLOR_full_body'])}") + + if values['armors']: + desc_parts.append(f"wearing {values['armors']}") + if values['uniforms']: + desc_parts.append(f"wearing {values['uniforms']}") + + if values['accessories']: + desc_parts.append( + f"accessorized with{add_item_with_color(values['accessories'], values['COLOR_accessories'])}") + + if values['material']: + desc_parts.append(f"made of {values['material']}") + + if values['pattern']: + desc_parts.append(f"in a {values['pattern']} pattern") + + if values['style_details']: + desc_parts.append(f"with {values['style_details']} styling") + + outfit_desc = ", ".join(desc_parts) + + if CUSTOM_PROMPT.strip(): + outfit_desc += f", {CUSTOM_PROMPT.strip()}" + + return (outfit_desc,) + +class TextGeneratorOutfitMale: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "top": (["NONE", "RANDOM"] + SharedLists.MALE_OUTFITS["TOPS"], {"forceInput": False}), + "COLOR_top": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "bottom": (["NONE", "RANDOM"] + SharedLists.MALE_OUTFITS["BOTTOMS"], {"forceInput": False}), + "COLOR_bottom": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "footwear": (["NONE", "RANDOM"] + SharedLists.MALE_OUTFITS["FOOTWEAR"], {"forceInput": False}), + "COLOR_footwear": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "head_item": (["NONE", "RANDOM"] + SharedLists.MALE_OUTFITS["HEAD_ITEMS"], {"forceInput": False}), + "COLOR_head_item": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "eye_item": (["NONE", "RANDOM"] + SharedLists.MALE_OUTFITS["EYE_ITEMS"], {"forceInput": False}), + "COLOR_eye_item": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "mouth_item": (["NONE", "RANDOM"] + SharedLists.MALE_OUTFITS["MOUTH_ITEMS"], {"forceInput": False}), + "COLOR_mouth_item": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "accessories": (["NONE", "RANDOM"] + SharedLists.MALE_OUTFITS["ACCESSORIES"], {"forceInput": False}), + "COLOR_accessories": (["NONE", "RANDOM"] + SharedLists.COLORS, {"forceInput": False}), + "armors": (["NONE", "RANDOM"] + SharedLists.ARMORS, {"forceInput": False}), + "uniforms": (["NONE", "RANDOM"] + SharedLists.UNIFORMS, {"forceInput": False}), + "material": (["NONE", "RANDOM"] + SharedLists.MATERIALS, {"forceInput": False}), + "pattern": (["NONE", "RANDOM"] + SharedLists.PATTERNS, {"forceInput": False}), + "style_details": (["NONE", "RANDOM"] + SharedLists.STYLE_DETAILS, {"forceInput": False}), + "style": (["NONE", "RANDOM"] + SharedLists.STYLES, {"forceInput": False}), + "cosplay": (["NONE", "RANDOM"] + [character["name"] for character in SharedLists.COSPLAY["MALE"]], {"forceInput": False}), + "cosplay_description": ("BOOLEAN", {"default": False}), + "CUSTOM_PROMPT": ("STRING", {"multiline": True, "default": ""}), + } + } + + RETURN_TYPES = ("GEN_OUTFIT",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def select_value(self, options, current_value, rng): + if current_value == "RANDOM": + valid_options = [opt for opt in options if opt not in ["RANDOM", "NONE"]] + return rng.choice(valid_options) + elif current_value == "NONE": + return "" + return current_value + + def generate(self, seed, style, top, COLOR_top, bottom, COLOR_bottom, footwear, COLOR_footwear, + head_item, COLOR_head_item, eye_item, COLOR_eye_item, mouth_item, COLOR_mouth_item, + accessories, COLOR_accessories, material, pattern, style_details, cosplay, + cosplay_description, armors, uniforms, CUSTOM_PROMPT): + rng = random.Random(seed) + + values = { + 'top': self.select_value(self.INPUT_TYPES()["required"]["top"][0], top, rng), + 'COLOR_top': self.select_value(self.INPUT_TYPES()["required"]["COLOR_top"][0], COLOR_top, rng), + 'bottom': self.select_value(self.INPUT_TYPES()["required"]["bottom"][0], bottom, rng), + 'COLOR_bottom': self.select_value(self.INPUT_TYPES()["required"]["COLOR_bottom"][0], COLOR_bottom, rng), + 'footwear': self.select_value(self.INPUT_TYPES()["required"]["footwear"][0], footwear, rng), + 'COLOR_footwear': self.select_value(self.INPUT_TYPES()["required"]["COLOR_footwear"][0], COLOR_footwear, rng), + 'head_item': self.select_value(self.INPUT_TYPES()["required"]["head_item"][0], head_item, rng), + 'COLOR_head_item': self.select_value(self.INPUT_TYPES()["required"]["COLOR_head_item"][0], COLOR_head_item, rng), + 'eye_item': self.select_value(self.INPUT_TYPES()["required"]["eye_item"][0], eye_item, rng), + 'COLOR_eye_item': self.select_value(self.INPUT_TYPES()["required"]["COLOR_eye_item"][0], COLOR_eye_item, rng), + 'mouth_item': self.select_value(self.INPUT_TYPES()["required"]["mouth_item"][0], mouth_item, rng), + 'COLOR_mouth_item': self.select_value(self.INPUT_TYPES()["required"]["COLOR_mouth_item"][0], COLOR_mouth_item, rng), + 'accessories': self.select_value(self.INPUT_TYPES()["required"]["accessories"][0], accessories, rng), + 'COLOR_accessories': self.select_value(self.INPUT_TYPES()["required"]["COLOR_accessories"][0], COLOR_accessories, rng), + 'armors': self.select_value(self.INPUT_TYPES()["required"]["armors"][0], armors, rng), + 'uniforms': self.select_value(self.INPUT_TYPES()["required"]["uniforms"][0], uniforms, rng), + 'material': self.select_value(self.INPUT_TYPES()["required"]["material"][0], material, rng), + 'pattern': self.select_value(self.INPUT_TYPES()["required"]["pattern"][0], pattern, rng), + 'style_details': self.select_value(self.INPUT_TYPES()["required"]["style_details"][0], style_details, rng), + 'style': self.select_value(self.INPUT_TYPES()["required"]["style"][0], style, rng), + 'cosplay': self.select_value(self.INPUT_TYPES()["required"]["cosplay"][0], cosplay, rng), + } + + def add_item_with_color(item, color): + if item and item != "NONE": + color_text = f" {color}" if color and color != "NONE" else "" + return f"{color_text} {item}" + return None + + desc_parts = [] + if values['style']: + desc_parts.append(f"{values['style']} style outfit") + + if values['cosplay']: + selected_cosplay = None + for category in SharedLists.COSPLAY.values(): + selected_cosplay = next( + (character for character in category if character["name"] == values['cosplay']), None) + if selected_cosplay: + break + + if selected_cosplay: + if cosplay_description: + desc_parts.append( + f"dressed as {selected_cosplay['name']}, {selected_cosplay['description']}") + else: + desc_parts.append(f"dressed as {selected_cosplay['name']}") + + if values['top']: + desc_parts.append( + f"wearing a{add_item_with_color(values['top'], values['COLOR_top'])}") + if values['bottom']: + desc_parts.append( + f"with{add_item_with_color(values['bottom'], values['COLOR_bottom'])}") + + if values['footwear']: + desc_parts.append( + f"wearing{add_item_with_color(values['footwear'], values['COLOR_footwear'])}") + + if values['head_item']: + desc_parts.append( + f"wearing{add_item_with_color(values['head_item'], values['COLOR_head_item'])}") + if values['eye_item']: + desc_parts.append( + f"wearing{add_item_with_color(values['eye_item'], values['COLOR_eye_item'])}") + if values['mouth_item']: + desc_parts.append( + f"wearing{add_item_with_color(values['mouth_item'], values['COLOR_mouth_item'])}") + + if values['armors']: + desc_parts.append(f"wearing {values['armors']}") + if values['uniforms']: + desc_parts.append(f"wearing {values['uniforms']}") + + if values['accessories']: + desc_parts.append( + f"accessorized with{add_item_with_color(values['accessories'], values['COLOR_accessories'])}") + + if values['material']: + desc_parts.append(f"made of {values['material']}") + + if values['pattern']: + desc_parts.append(f"in a {values['pattern']} pattern") + + if values['style_details']: + desc_parts.append(f"with {values['style_details']} styling") + + outfit_desc = ", ".join(desc_parts) + + if CUSTOM_PROMPT.strip(): + outfit_desc += f", {CUSTOM_PROMPT.strip()}" + + return (outfit_desc,) + + +def pluralize_age(age, count): + plurals = { + "woman": "women", + "man": "men", + "girl": "girls", + "boy": "boys", + "baby girl": "baby girls", + "baby boy": "baby boys", + "teen girl": "teen girls", + "teen boy": "teen boys", + "young woman": "young women", + "young man": "young men", + "elderly woman": "elderly women", + "elderly man": "elderly men" + } + return plurals.get(age, age) if count > 1 else age + + +def count_characters(text): + if text is None: + return 0 + + character_count = 0 + for line in text.split('\n'): + line = line.strip() + if line.startswith('-'): + # Count the number of consecutive dashes at the start + dash_count = len(line) - len(line.lstrip('-')) + character_count += dash_count + + return character_count + + +def number_to_word(number): + words = { + 1: "one", 2: "two", 3: "three", 4: "four", + 5: "five", 6: "six", 7: "seven", 8: "eight", + 9: "nine", 10: "ten" + } + return words.get(number, "Invalid number") + + +class TextGeneratorCharacterFemale: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "enabled": ("BOOLEAN", {"default": True}), + "number_of_characters": ("INT", {"default": 1, "min": 1, "max": 10}), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "location_on_image": (["NONE", "RANDOM"] + SharedLists.POSITIONS,), + "ethnicity": (["NONE", "RANDOM"] + [ethni["name"] for ethni in SharedLists.ETHNICITIES["FEMALE"]], {"forceInput": False}), + "ethnicity_description": ("BOOLEAN", {"default": False}), + "nationality": (["NONE", "RANDOM"] + SharedLists.NATIONALITIES,), + "age": (["RANDOM"] + SharedLists.AGES_FEMALE, {"default": "woman"}), + "add_specific_age": ("STRING", {"multiline": False, "default": ""}), + "body_shape": (["RANDOM", "NONE"] + SharedLists.BODY_SHAPES,), + "breasts": (["RANDOM", "NONE"] + SharedLists.BREAST_SHAPES,), + "ass": (["RANDOM", "NONE"] + SharedLists.ASS_SHAPES,), + "skin_tone": (["NONE", "RANDOM"] + SharedLists.SKIN_TONES,), + "eye_color": (["NONE", "RANDOM"] + SharedLists.EYE_COLORS,), + "hair_style": (["NONE", "RANDOM"] + SharedLists.HAIR_STYLES,), + "hair_color": (["NONE", "RANDOM"] + SharedLists.COLORS,), + "CUSTOM_PROMPT": ("STRING", {"multiline": True, "default": ""}), + }, + "optional": { + "add_GEN_CHARACTER": ("GEN_CHARACTER",), + "GEN_OUTFIT": ("GEN_OUTFIT",), + "GEN_POSE": ("GEN_POSE",), + } + } + + RETURN_TYPES = ("GEN_CHARACTER",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def select_value(self, options, current_value, rng): + if current_value == "RANDOM": + valid_options = [ + opt for opt in options if opt not in ["RANDOM", "NONE"]] + return rng.choice(valid_options) + elif current_value == "NONE": + return "" + return current_value + + def generate(self, enabled, number_of_characters, seed, location_on_image, ethnicity, ethnicity_description, nationality, + age, add_specific_age, body_shape, ass, breasts, skin_tone, eye_color, hair_style, hair_color, + CUSTOM_PROMPT, add_GEN_CHARACTER=None, GEN_OUTFIT=None, GEN_POSE=None): + + if not enabled: + return (add_GEN_CHARACTER if add_GEN_CHARACTER else "",) + + rng = random.Random(seed) + + values = { + 'location_on_image': self.select_value(self.INPUT_TYPES()["required"]["location_on_image"][0], location_on_image, rng), + 'ethnicity': self.select_value(self.INPUT_TYPES()["required"]["ethnicity"][0], ethnicity, rng), + 'nationality': self.select_value(self.INPUT_TYPES()["required"]["nationality"][0], nationality, rng), + 'age': self.select_value(self.INPUT_TYPES()["required"]["age"][0], age, rng), + 'body_shape': self.select_value(self.INPUT_TYPES()["required"]["body_shape"][0], body_shape, rng), + 'ass': self.select_value(self.INPUT_TYPES()["required"]["ass"][0], ass, rng), + 'breasts': self.select_value(self.INPUT_TYPES()["required"]["breasts"][0], breasts, rng), + 'skin_tone': self.select_value(self.INPUT_TYPES()["required"]["skin_tone"][0], skin_tone, rng), + 'eye_color': self.select_value(self.INPUT_TYPES()["required"]["eye_color"][0], eye_color, rng), + 'hair_style': self.select_value(self.INPUT_TYPES()["required"]["hair_style"][0], hair_style, rng), + 'hair_color': self.select_value(self.INPUT_TYPES()["required"]["hair_color"][0], hair_color, rng), + } + + desc_parts = [] + + # Location + if values['location_on_image']: + desc_parts.append(f"On the {values['location_on_image']} of the image:") + + # Age and ethnicity description + if values['age']: + age_desc = values['age'] + if add_specific_age: + age_desc = f"{add_specific_age} years old {pluralize_age(values['age'], number_of_characters)}" + else: + age_desc = pluralize_age(values['age'], number_of_characters) + + combined_desc = [] + if values['nationality']: + combined_desc.append(values['nationality']) + if values['ethnicity']: + combined_desc.append(values['ethnicity']) + if ethnicity_description: + for eth in SharedLists.ETHNICITIES['FEMALE']: + if eth['name'] == values['ethnicity']: + combined_desc.append(f"({eth['description']})") + break + + if combined_desc: + desc_parts.append(f"{number_to_word(number_of_characters)} {' '.join(combined_desc)} {age_desc}") + else: + desc_parts.append(f"{number_to_word(number_of_characters)} {age_desc}") + + # Pose + if GEN_POSE: + desc_parts.append(GEN_POSE) + + # Physical characteristics + if values['body_shape']: + desc_parts.append(f"with a {values['body_shape']} build") + if values['skin_tone']: + desc_parts.append(f"with {values['skin_tone']} skin") + if values['eye_color']: + desc_parts.append(f"{values['eye_color']} eyes") + if values['hair_color']: + desc_parts.append(f"{values['hair_color']} hair") + if values['hair_style']: + desc_parts.append(f"{values['hair_style']} haircut") + if values['ass']: + desc_parts.append(f"{values['ass']} ass") + if values['breasts']: + desc_parts.append(f"{values['breasts']} breasts") + + # Outfit + if GEN_OUTFIT: + desc_parts.append(GEN_OUTFIT) + + # Combine description + if values['location_on_image']: + # Join parts properly with no redundant comma after location + character_desc = desc_parts[0] + " " + ", ".join(desc_parts[1:]) + else: + character_desc = ", ".join(desc_parts) + + # Custom prompt + if CUSTOM_PROMPT.strip(): + character_desc += f", {CUSTOM_PROMPT.strip()}" + + # Final description + if number_of_characters > 1: + # Add multiple dashes based on number of characters + dashes = '-' * number_of_characters + final_description = f"{dashes} {character_desc}" + else: + final_description = f"- {character_desc}" + + if add_GEN_CHARACTER: + return (f"{add_GEN_CHARACTER}\n{final_description}",) + return (final_description,) + + + +class TextGeneratorCharacterMale: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "enabled": ("BOOLEAN", {"default": True}), + "number_of_characters": ("INT", {"default": 1, "min": 1, "max": 10}), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "location_on_image": (["NONE", "RANDOM"] + SharedLists.POSITIONS,), + "ethnicity": (["NONE", "RANDOM"] + [ethni["name"] for ethni in SharedLists.ETHNICITIES["MALE"]], {"forceInput": False}), + "ethnicity_description": ("BOOLEAN", {"default": False}), + "nationality": (["NONE", "RANDOM"] + SharedLists.NATIONALITIES,), + "age": (["RANDOM"] + SharedLists.AGES_MALE, {"default": "man"}), + "add_specific_age": ("STRING", {"multiline": False, "default": ""}), + "body_shape": (["RANDOM", "NONE"] + SharedLists.BODY_SHAPES,), + "skin_tone": (["NONE", "RANDOM"] + SharedLists.SKIN_TONES,), + "facial_hair": (["NONE", "RANDOM"] + SharedLists.FACIAL_HAIR_TYPES,), + "eye_color": (["NONE", "RANDOM"] + SharedLists.EYE_COLORS,), + "hair_style": (["NONE", "RANDOM"] + SharedLists.HAIR_STYLES,), + "hair_color": (["NONE", "RANDOM"] + SharedLists.COLORS,), + "CUSTOM_PROMPT": ("STRING", {"multiline": True, "default": ""}), + }, + "optional": { + "add_GEN_CHARACTER": ("GEN_CHARACTER",), + "GEN_OUTFIT": ("GEN_OUTFIT",), + "GEN_POSE": ("GEN_POSE",), + } + } + + RETURN_TYPES = ("GEN_CHARACTER",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def select_value(self, options, current_value, rng): + if current_value == "RANDOM": + valid_options = [ + opt for opt in options if opt not in ["RANDOM", "NONE"]] + return rng.choice(valid_options) + elif current_value == "NONE": + return "" + return current_value + + def generate(self, enabled, number_of_characters, seed, location_on_image, ethnicity, ethnicity_description, nationality, + age, add_specific_age, body_shape, skin_tone, eye_color, hair_style, hair_color, facial_hair, + CUSTOM_PROMPT, add_GEN_CHARACTER=None, GEN_OUTFIT=None, GEN_POSE=None): + + if not enabled: + return (add_GEN_CHARACTER if add_GEN_CHARACTER else "",) + + rng = random.Random(seed) + + values = { + 'location_on_image': self.select_value(self.INPUT_TYPES()["required"]["location_on_image"][0], location_on_image, rng), + 'ethnicity': self.select_value(self.INPUT_TYPES()["required"]["ethnicity"][0], ethnicity, rng), + 'nationality': self.select_value(self.INPUT_TYPES()["required"]["nationality"][0], nationality, rng), + 'age': self.select_value(self.INPUT_TYPES()["required"]["age"][0], age, rng), + 'body_shape': self.select_value(self.INPUT_TYPES()["required"]["body_shape"][0], body_shape, rng), + 'skin_tone': self.select_value(self.INPUT_TYPES()["required"]["skin_tone"][0], skin_tone, rng), + 'eye_color': self.select_value(self.INPUT_TYPES()["required"]["eye_color"][0], eye_color, rng), + 'hair_style': self.select_value(self.INPUT_TYPES()["required"]["hair_style"][0], hair_style, rng), + 'hair_color': self.select_value(self.INPUT_TYPES()["required"]["hair_color"][0], hair_color, rng), + 'facial_hair': self.select_value(self.INPUT_TYPES()["required"]["facial_hair"][0], facial_hair, rng), + } + + desc_parts = [] + + # Location + if values['location_on_image']: + desc_parts.append(f"On the {values['location_on_image']} of the image:") + + # Age and ethnicity description + if values['age']: + age_desc = values['age'] + if add_specific_age: + age_desc = f"{add_specific_age} years old {pluralize_age(values['age'], number_of_characters)}" + else: + age_desc = pluralize_age(values['age'], number_of_characters) + + combined_desc = [] + if values['nationality']: + combined_desc.append(values['nationality']) + if values['ethnicity']: + combined_desc.append(values['ethnicity']) + if ethnicity_description: + for eth in SharedLists.ETHNICITIES['MALE']: + if eth['name'] == values['ethnicity']: + combined_desc.append(f"({eth['description']})") + break + + if combined_desc: + desc_parts.append(f"{number_to_word(number_of_characters)} {' '.join(combined_desc)} {age_desc}") + else: + desc_parts.append(f"{number_to_word(number_of_characters)} {age_desc}") + + # Pose + if GEN_POSE: + desc_parts.append(GEN_POSE) + + # Physical characteristics + if values['body_shape']: + desc_parts.append(f"with a {values['body_shape']} build") + if values['facial_hair']: + desc_parts.append(f"{values['facial_hair']}") + if values['skin_tone']: + desc_parts.append(f"with {values['skin_tone']} skin") + if values['eye_color']: + desc_parts.append(f"{values['eye_color']} eyes") + if values['hair_color']: + desc_parts.append(f"{values['hair_color']} hair") + if values['hair_style']: + desc_parts.append(f"{values['hair_style']} haircut") + + # Outfit + if GEN_OUTFIT: + desc_parts.append(GEN_OUTFIT) + + # Combine description + if values['location_on_image']: + # Avoid redundant commas; treat first part as a prefix + character_desc = desc_parts[0] + " " + ", ".join(desc_parts[1:]) + else: + character_desc = ", ".join(desc_parts) + + # Custom prompt + if CUSTOM_PROMPT.strip(): + character_desc += f", {CUSTOM_PROMPT.strip()}" + + # Final description + if number_of_characters > 1: + # Add multiple dashes based on number of characters + dashes = '-' * number_of_characters + final_description = f"{dashes} {character_desc}" + else: + final_description = f"- {character_desc}" + + if add_GEN_CHARACTER: + return (f"{add_GEN_CHARACTER}\n{final_description}",) + return (final_description,) + + + +class TextGeneratorStyle: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "artistic_style": (["RANDOM", "NONE"] + SharedLists.ARTISTIC_STYLES,), + "color_palette": (["RANDOM", "NONE"] + SharedLists.COLOR_PALETTES,), + "lighting_type": (["RANDOM", "NONE"] + SharedLists.LIGHTING_TYPES,), + "mood": (["RANDOM", "NONE"] + SharedLists.MOODS,), + "composition": (["RANDOM", "NONE"] + SharedLists.COMPOSITIONS,), + "CUSTOM_PROMPT": ("STRING", {"multiline": True, "default": ""}) + } + } + + RETURN_TYPES = ("GEN_STYLE",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def select_random_element(self, available_options, selected_value, random_generator): + if selected_value == "RANDOM": + valid_choices = [ + opt for opt in available_options if opt not in ["RANDOM", "NONE"]] + return random_generator.choice(valid_choices) + elif selected_value == "NONE": + return "" + return selected_value + + def generate(self, seed, artistic_style, color_palette, lighting_type, mood, composition, CUSTOM_PROMPT): + random_generator = random.Random(seed) + + style_elements = { + k: self.select_random_element( + self.INPUT_TYPES()["required"][k][0], v, random_generator) + for k, v in locals().items() + if k not in ['self', 'seed', 'random_generator', 'CUSTOM_PROMPT'] + } + + style_components = [] + if style_elements['artistic_style']: + style_components.append( + f"{style_elements['artistic_style']} style") + if style_elements['color_palette']: + style_components.append( + f"using a {style_elements['color_palette']} color scheme") + if style_elements['lighting_type']: + style_components.append( + f"with {style_elements['lighting_type']} lighting") + if style_elements['mood']: + style_components.append( + f"conveying a {style_elements['mood']} mood") + if style_elements['composition']: + style_components.append( + f"in a {style_elements['composition']} composition") + + style_description = ", ".join(style_components) + + if CUSTOM_PROMPT.strip(): + style_description += f", {CUSTOM_PROMPT.strip()}" + + return (style_description,) + + +class TextGeneratorScene: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "scene_type": (["RANDOM", "NONE"] + SharedLists.SCENE_TYPES,), + "time_period": (["RANDOM", "NONE"] + SharedLists.TIME_PERIODS,), + "weather_condition": (["RANDOM", "NONE"] + SharedLists.WEATHER_CONDITIONS,), + "ambiance": (["RANDOM", "NONE"] + SharedLists.AMBIANCE_TYPES,), + "setting": (["RANDOM", "NONE"] + SharedLists.SETTINGS,), + "CUSTOM_PROMPT": ("STRING", {"multiline": True, "default": ""}) + } + } + + RETURN_TYPES = ("GEN_SCENE",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def select_random_element(self, available_options, selected_value, random_generator): + if selected_value == "RANDOM": + valid_choices = [ + opt for opt in available_options if opt not in ["RANDOM", "NONE"]] + return random_generator.choice(valid_choices) + elif selected_value == "NONE": + return "" + return selected_value + + def generate(self, seed, scene_type, time_period, weather_condition, ambiance, setting, CUSTOM_PROMPT): + random_generator = random.Random(seed) + + scene_elements = { + k: self.select_random_element( + self.INPUT_TYPES()["required"][k][0], v, random_generator) + for k, v in locals().items() + if k not in ['self', 'seed', 'random_generator', 'CUSTOM_PROMPT'] + } + + scene_components = [] + if scene_elements['ambiance'] and scene_elements['scene_type']: + scene_components.append( + f"in a {scene_elements['ambiance']} {scene_elements['scene_type']} scene") + if scene_elements['setting']: + scene_components.append(f"located in {scene_elements['setting']}") + if scene_elements['time_period']: + scene_components.append( + f"during the {scene_elements['time_period']}") + if scene_elements['weather_condition']: + scene_components.append( + f"with {scene_elements['weather_condition']} conditions") + + scene_description = ", ".join(scene_components) + + if CUSTOM_PROMPT.strip(): + scene_description += f", {CUSTOM_PROMPT.strip()}" + + return (scene_description,) + + +class TextGenerator: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "camera_angle": (["NONE", "RANDOM"] + SharedLists.CAMERA_ANGLES,), + "shot_type": (["NONE", "RANDOM"] + SharedLists.SHOT_TYPES,), + "multi_char_action": (["NONE", "CUSTOM", "RANDOM"] + SharedLists.ACTIONS,), + "CUSTOM_action": ("STRING", {"multiline": False, "default": ""}), + "CUSTOM_PROMPT": ("STRING", {"multiline": True, "default": ""}), + }, + "optional": { + "GEN_STYLE": ("GEN_STYLE",), + "GEN_CHARACTER": ("GEN_CHARACTER",), + "GEN_SCENE": ("GEN_SCENE",), + } + } + + RETURN_TYPES = ("STRING",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def select_random_element(self, options, current_value, random_generator): + if current_value == "RANDOM": + valid_choices = [ + opt for opt in options if opt not in ["RANDOM", "NONE"]] + return random_generator.choice(valid_choices) + elif current_value == "NONE": + return "" + return current_value + + def generate(self, seed, camera_angle, shot_type, multi_char_action, CUSTOM_action, + CUSTOM_PROMPT, GEN_CHARACTER=None, GEN_STYLE=None, GEN_SCENE=None): + random_generator = random.Random(seed) + + local_vars = locals() + if CUSTOM_action.strip(): + local_vars['multi_char_action'] = CUSTOM_action.strip() + + values = {k: self.select_random_element(self.INPUT_TYPES()["required"][k][0], v, random_generator) + for k, v in local_vars.items() + if k in ['camera_angle', 'shot_type', 'multi_char_action']} + + if GEN_CHARACTER is not None: + character_count = 0 + for line in GEN_CHARACTER.split('\n'): + line = line.strip() + if line.startswith('-'): + # Count the number of consecutive dashes at the start + dash_count = len(line) - len(line.lstrip('-')) + character_count += dash_count + else: + character_count = 0 + + prompt_parts = [] + + if values['shot_type'] or values['camera_angle']: + shot_description = [] + if values['shot_type']: + shot_description.append(values['shot_type']) + if values['camera_angle']: + shot_description.append(f"from {values['camera_angle']}") + prompt_parts.append(" ".join(shot_description)) + + if character_count > 1 and values['multi_char_action']: + if values['multi_char_action'] == "CUSTOM": + character_intro = f"Image with {character_count} characters {values['CUSTOM_action']} :" + else: + character_intro = f"Image with {character_count} characters {values['multi_char_action']} :" + elif character_count > 1: + character_intro = f"Image with {character_count} characters :" + else: + character_intro = "" + + technical_desc = ", ".join(prompt_parts) if prompt_parts else "" + + final_parts = [] + if technical_desc: + if CUSTOM_PROMPT.strip(): + technical_desc += f", {CUSTOM_PROMPT.strip()}" + final_parts.append(technical_desc) + if character_intro: + final_parts.append(character_intro) + + # Combine all parts + final_prompt_parts = [] + + if GEN_STYLE: + final_prompt_parts.append(GEN_STYLE) + + if final_parts: + final_prompt_parts.append(", ".join(final_parts)) + + if GEN_CHARACTER: + final_prompt_parts.append(GEN_CHARACTER) + + if GEN_SCENE: + final_prompt_parts.append(GEN_SCENE) + + final_prompt = "\n".join( + part for part in final_prompt_parts if part.strip()) + + return (final_prompt,) + +class ListLooperOutfitMale: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "SELECTION": ([ + "top", + "bottom", + "footwear", + "head_item", + "eye_item", + "mouth_item", + "accessories", + "armors", + "uniforms", + "material", + "pattern", + "style_details", + "style", + "cosplay", + "colors" + ], {"forceInput": False}), + "top": ([f"ALL ({len(SharedLists.MALE_OUTFITS['TOPS'])})"] + SharedLists.MALE_OUTFITS["TOPS"],), + "bottom": ([f"ALL ({len(SharedLists.MALE_OUTFITS['BOTTOMS'])})"] + SharedLists.MALE_OUTFITS["BOTTOMS"],), + "footwear": ([f"ALL ({len(SharedLists.MALE_OUTFITS['FOOTWEAR'])})"] + SharedLists.MALE_OUTFITS["FOOTWEAR"],), + "head_item": ([f"ALL ({len(SharedLists.MALE_OUTFITS['HEAD_ITEMS'])})"] + SharedLists.MALE_OUTFITS["HEAD_ITEMS"],), + "eye_item": ([f"ALL ({len(SharedLists.MALE_OUTFITS['EYE_ITEMS'])})"] + SharedLists.MALE_OUTFITS["EYE_ITEMS"],), + "mouth_item": ([f"ALL ({len(SharedLists.MALE_OUTFITS['MOUTH_ITEMS'])})"] + SharedLists.MALE_OUTFITS["MOUTH_ITEMS"],), + "accessories": ([f"ALL ({len(SharedLists.MALE_OUTFITS['ACCESSORIES'])})"] + SharedLists.MALE_OUTFITS["ACCESSORIES"],), + "armors": ([f"ALL ({len(SharedLists.ARMORS)})"] + SharedLists.ARMORS,), + "uniforms": ([f"ALL ({len(SharedLists.UNIFORMS)})"] + SharedLists.UNIFORMS,), + "material": ([f"ALL ({len(SharedLists.MATERIALS)})"] + SharedLists.MATERIALS,), + "pattern": ([f"ALL ({len(SharedLists.PATTERNS)})"] + SharedLists.PATTERNS,), + "style_details": ([f"ALL ({len(SharedLists.STYLE_DETAILS)})"] + SharedLists.STYLE_DETAILS,), + "style": ([f"ALL ({len(SharedLists.STYLES)})"] + SharedLists.STYLES,), + "cosplay": ([f"ALL ({len(SharedLists.COSPLAY['MALE'])})"] + [character["name"] for character in SharedLists.COSPLAY["MALE"]],), + "colors": ([f"ALL ({len(SharedLists.COLORS)})"] + SharedLists.COLORS,), + } + } + + RETURN_TYPES = (Everything("*"),) + FUNCTION = "get_list" + OUTPUT_IS_LIST = (True,) + CATEGORY = "Bjornulf" + + def get_list(self, SELECTION, top, bottom, footwear, head_item, eye_item, mouth_item, + accessories, armors, uniforms, material, pattern, style_details, + style, cosplay, colors): + selection_map = { + "top": (top, SharedLists.MALE_OUTFITS["TOPS"]), + "bottom": (bottom, SharedLists.MALE_OUTFITS["BOTTOMS"]), + "footwear": (footwear, SharedLists.MALE_OUTFITS["FOOTWEAR"]), + "head_item": (head_item, SharedLists.MALE_OUTFITS["HEAD_ITEMS"]), + "eye_item": (eye_item, SharedLists.MALE_OUTFITS["EYE_ITEMS"]), + "mouth_item": (mouth_item, SharedLists.MALE_OUTFITS["MOUTH_ITEMS"]), + "accessories": (accessories, SharedLists.MALE_OUTFITS["ACCESSORIES"]), + "armors": (armors, SharedLists.ARMORS), + "uniforms": (uniforms, SharedLists.UNIFORMS), + "material": (material, SharedLists.MATERIALS), + "pattern": (pattern, SharedLists.PATTERNS), + "style_details": (style_details, SharedLists.STYLE_DETAILS), + "style": (style, SharedLists.STYLES), + "cosplay": (cosplay, [character["name"] for character in SharedLists.COSPLAY["MALE"]]), + "colors": (colors, SharedLists.COLORS) + } + selected_value, full_list = selection_map[SELECTION] + return (full_list,) if "ALL" in selected_value else ([selected_value],) + +class ListLooperOutfitFemale: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "SELECTION": ([ + "top", + "bottom", + "dress", + "full_body", + "footwear", + "head_item", + "eye_item", + "mouth_item", + "accessories", + "armors", + "uniforms", + "material", + "pattern", + "style_details", + "style", + "cosplay", + "colors" + ], {"forceInput": False}), + "top": ([f"ALL ({len(SharedLists.FEMALE_OUTFITS['TOPS'])})"] + SharedLists.FEMALE_OUTFITS["TOPS"],), + "bottom": ([f"ALL ({len(SharedLists.FEMALE_OUTFITS['BOTTOMS'])})"] + SharedLists.FEMALE_OUTFITS["BOTTOMS"],), + "dress": ([f"ALL ({len(SharedLists.FEMALE_OUTFITS['DRESSES'])})"] + SharedLists.FEMALE_OUTFITS["DRESSES"],), + "full_body": ([f"ALL ({len(SharedLists.FEMALE_OUTFITS['FULL_BODY_CLOTHES'])})"] + SharedLists.FEMALE_OUTFITS["FULL_BODY_CLOTHES"],), + "footwear": ([f"ALL ({len(SharedLists.FEMALE_OUTFITS['FOOTWEAR'])})"] + SharedLists.FEMALE_OUTFITS["FOOTWEAR"],), + "head_item": ([f"ALL ({len(SharedLists.FEMALE_OUTFITS['HEAD_ITEMS'])})"] + SharedLists.FEMALE_OUTFITS["HEAD_ITEMS"],), + "eye_item": ([f"ALL ({len(SharedLists.FEMALE_OUTFITS['EYE_ITEMS'])})"] + SharedLists.FEMALE_OUTFITS["EYE_ITEMS"],), + "mouth_item": ([f"ALL ({len(SharedLists.FEMALE_OUTFITS['MOUTH_ITEMS'])})"] + SharedLists.FEMALE_OUTFITS["MOUTH_ITEMS"],), + "accessories": ([f"ALL ({len(SharedLists.FEMALE_OUTFITS['ACCESSORIES'])})"] + SharedLists.FEMALE_OUTFITS["ACCESSORIES"],), + "armors": ([f"ALL ({len(SharedLists.ARMORS)})"] + SharedLists.ARMORS,), + "uniforms": ([f"ALL ({len(SharedLists.UNIFORMS)})"] + SharedLists.UNIFORMS,), + "material": ([f"ALL ({len(SharedLists.MATERIALS)})"] + SharedLists.MATERIALS,), + "pattern": ([f"ALL ({len(SharedLists.PATTERNS)})"] + SharedLists.PATTERNS,), + "style_details": ([f"ALL ({len(SharedLists.STYLE_DETAILS)})"] + SharedLists.STYLE_DETAILS,), + "style": ([f"ALL ({len(SharedLists.STYLES)})"] + SharedLists.STYLES,), + "cosplay": ([f"ALL ({len(SharedLists.COSPLAY['FEMALE'])})"] + [character["name"] for character in SharedLists.COSPLAY["FEMALE"]],), + "colors": ([f"ALL ({len(SharedLists.COLORS)})"] + SharedLists.COLORS,), + } + } + + RETURN_TYPES = (Everything("*"),) + FUNCTION = "get_list" + OUTPUT_IS_LIST = (True,) + CATEGORY = "Bjornulf" + + def get_list(self, SELECTION, top, bottom, dress, full_body, footwear, head_item, + eye_item, mouth_item, accessories, armors, uniforms, material, pattern, + style_details, style, cosplay, colors): + selection_map = { + "top": (top, SharedLists.FEMALE_OUTFITS["TOPS"]), + "bottom": (bottom, SharedLists.FEMALE_OUTFITS["BOTTOMS"]), + "dress": (dress, SharedLists.FEMALE_OUTFITS["DRESSES"]), + "full_body": (full_body, SharedLists.FEMALE_OUTFITS["FULL_BODY_CLOTHES"]), + "footwear": (footwear, SharedLists.FEMALE_OUTFITS["FOOTWEAR"]), + "head_item": (head_item, SharedLists.FEMALE_OUTFITS["HEAD_ITEMS"]), + "eye_item": (eye_item, SharedLists.FEMALE_OUTFITS["EYE_ITEMS"]), + "mouth_item": (mouth_item, SharedLists.FEMALE_OUTFITS["MOUTH_ITEMS"]), + "accessories": (accessories, SharedLists.FEMALE_OUTFITS["ACCESSORIES"]), + "armors": (armors, SharedLists.ARMORS), + "uniforms": (uniforms, SharedLists.UNIFORMS), + "material": (material, SharedLists.MATERIALS), + "pattern": (pattern, SharedLists.PATTERNS), + "style_details": (style_details, SharedLists.STYLE_DETAILS), + "style": (style, SharedLists.STYLES), + "cosplay": (cosplay, [character["name"] for character in SharedLists.COSPLAY["FEMALE"]]), + "colors": (colors, SharedLists.COLORS) + } + selected_value, full_list = selection_map[SELECTION] + return (full_list,) if "ALL" in selected_value else ([selected_value],) + +class ListLooperCharacter: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "SELECTION": ([ + # Human characteristics + "location_on_image", + "ethnicity", + "nationality", + "age_male", + "age_female", + "body_shape", + "skin_tone", + "eye_color", + "hair_style", + "hair_color", + "facial_hair", + "breasts", + "ass", + # Monster/Creature characteristics + "land_animal", + "water_animal", + "creature_type", + "creature_size", + "creature_temperament", + "creature_ability", + "creature_features", + "magical_properties" + ], {"forceInput": False}), + # Human-related options + "location_on_image": ([f"ALL ({len(SharedLists.POSITIONS)})"] + SharedLists.POSITIONS,), + "ethnicity": ([f"ALL ({len([ethni['name'] for ethni in SharedLists.ETHNICITIES['MALE']] + [ethni['name'] for ethni in SharedLists.ETHNICITIES['FEMALE']])})"] + + [ethni["name"] for ethni in SharedLists.ETHNICITIES["MALE"]] + [ethni["name"] for ethni in SharedLists.ETHNICITIES["FEMALE"]],), + "nationality": ([f"ALL ({len(SharedLists.NATIONALITIES)})"] + SharedLists.NATIONALITIES,), + "age_male": ([f"ALL ({len(SharedLists.AGES_MALE)})"] + SharedLists.AGES_MALE,), + "age_female": ([f"ALL ({len(SharedLists.AGES_FEMALE)})"] + SharedLists.AGES_FEMALE,), + "body_shape": ([f"ALL ({len(SharedLists.BODY_SHAPES)})"] + SharedLists.BODY_SHAPES,), + "skin_tone": ([f"ALL ({len(SharedLists.SKIN_TONES)})"] + SharedLists.SKIN_TONES,), + "eye_color": ([f"ALL ({len(SharedLists.EYE_COLORS)})"] + SharedLists.EYE_COLORS,), + "hair_style": ([f"ALL ({len(SharedLists.HAIR_STYLES)})"] + SharedLists.HAIR_STYLES,), + "hair_color": ([f"ALL ({len(SharedLists.COLORS)})"] + SharedLists.COLORS,), + "facial_hair": ([f"ALL ({len(SharedLists.FACIAL_HAIR_TYPES)})"] + SharedLists.FACIAL_HAIR_TYPES,), + "breasts": ([f"ALL ({len(SharedLists.BREAST_SHAPES)})"] + SharedLists.BREAST_SHAPES,), + "ass": ([f"ALL ({len(SharedLists.ASS_SHAPES)})"] + SharedLists.ASS_SHAPES,), + # Monster/Creature-related options + "land_animal": ([f"ALL ({len(SharedLists.LAND_ANIMALS)})"] + SharedLists.LAND_ANIMALS,), + "water_animal": ([f"ALL ({len(SharedLists.WATER_ANIMALS)})"] + SharedLists.WATER_ANIMALS,), + "creature_type": ([f"ALL ({len(SharedLists.CREATURE_TYPES)})"] + [creature["name"] for creature in SharedLists.CREATURE_TYPES.values()],), + "creature_size": ([f"ALL ({len(SharedLists.CREATURE_SIZES)})"] + SharedLists.CREATURE_SIZES,), + "creature_temperament": ([f"ALL ({len(SharedLists.CREATURE_TEMPERAMENTS)})"] + SharedLists.CREATURE_TEMPERAMENTS,), + "creature_ability": ([f"ALL ({len(SharedLists.CREATURE_ABILITIES)})"] + SharedLists.CREATURE_ABILITIES,), + "creature_features": ([f"ALL ({len(SharedLists.CREATURE_FEATURES)})"] + SharedLists.CREATURE_FEATURES,), + "magical_properties": ([f"ALL ({len(SharedLists.MAGICAL_PROPERTIES)})"] + SharedLists.MAGICAL_PROPERTIES,), + } + } + + RETURN_TYPES = (Everything("*"),) + FUNCTION = "get_list" + OUTPUT_IS_LIST = (True,) + CATEGORY = "Bjornulf" + + def get_list(self, SELECTION, location_on_image, ethnicity, nationality, + age_male, age_female, body_shape, skin_tone, eye_color, + hair_style, hair_color, facial_hair, breasts, ass, + creature_type, creature_size, creature_temperament, water_animal, land_animal, + creature_ability, creature_features, magical_properties): + + # Create a dictionary mapping selection names to their values and lists + selection_map = { + # Human characteristics + "location_on_image": (location_on_image, SharedLists.POSITIONS), + "ethnicity": (ethnicity, [ethni["name"] for ethni in SharedLists.ETHNICITIES["MALE"]] + + [ethni["name"] for ethni in SharedLists.ETHNICITIES["FEMALE"]]), + "nationality": (nationality, SharedLists.NATIONALITIES), + "age_male": (age_male, SharedLists.AGES_MALE), + "age_female": (age_female, SharedLists.AGES_FEMALE), + "body_shape": (body_shape, SharedLists.BODY_SHAPES), + "skin_tone": (skin_tone, SharedLists.SKIN_TONES), + "eye_color": (eye_color, SharedLists.EYE_COLORS), + "hair_style": (hair_style, SharedLists.HAIR_STYLES), + "hair_color": (hair_color, SharedLists.COLORS), + "facial_hair": (facial_hair, SharedLists.FACIAL_HAIR_TYPES), + "breasts": (breasts, SharedLists.BREAST_SHAPES), + "ass": (ass, SharedLists.ASS_SHAPES), + # Monster/Creature characteristics + "land_animal": (land_animal, SharedLists.LAND_ANIMALS), + "water_animal": (water_animal, SharedLists.WATER_ANIMALS), + "creature_type": (creature_type, [creature["name"] for creature in SharedLists.CREATURE_TYPES.values()]), + "creature_size": (creature_size, SharedLists.CREATURE_SIZES), + "creature_temperament": (creature_temperament, SharedLists.CREATURE_TEMPERAMENTS), + "creature_ability": (creature_ability, SharedLists.CREATURE_ABILITIES), + "creature_features": (creature_features, SharedLists.CREATURE_FEATURES), + "magical_properties": (magical_properties, SharedLists.MAGICAL_PROPERTIES) + } + + # Get the selected value and corresponding full list + selected_value, full_list = selection_map[SELECTION] + + # If "ALL" is in the selected value (accounting for the count), return the full list + if "ALL" in selected_value: + return (full_list,) + + # Otherwise, return just the selected value as a single-item list + return ([selected_value],) + +class ListLooperStyle: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "SELECTION": ([ + "artistic_style", + "color_palette", + "lighting_type", + "mood", + "composition" + ], {"forceInput": False}), + "artistic_style": ([f"ALL ({len(SharedLists.ARTISTIC_STYLES)})"] + SharedLists.ARTISTIC_STYLES,), + "color_palette": ([f"ALL ({len(SharedLists.COLOR_PALETTES)})"] + SharedLists.COLOR_PALETTES,), + "lighting_type": ([f"ALL ({len(SharedLists.LIGHTING_TYPES)})"] + SharedLists.LIGHTING_TYPES,), + "mood": ([f"ALL ({len(SharedLists.MOODS)})"] + SharedLists.MOODS,), + "composition": ([f"ALL ({len(SharedLists.COMPOSITIONS)})"] + SharedLists.COMPOSITIONS,), + } + } + + RETURN_TYPES = (Everything("*"),) + FUNCTION = "get_list" + OUTPUT_IS_LIST = (True,) + CATEGORY = "Bjornulf" + + def get_list(self, SELECTION, artistic_style, color_palette, + lighting_type, mood, composition): + selection_map = { + "artistic_style": (artistic_style, SharedLists.ARTISTIC_STYLES), + "color_palette": (color_palette, SharedLists.COLOR_PALETTES), + "lighting_type": (lighting_type, SharedLists.LIGHTING_TYPES), + "mood": (mood, SharedLists.MOODS), + "composition": (composition, SharedLists.COMPOSITIONS) + } + selected_value, full_list = selection_map[SELECTION] + return (full_list,) if "ALL" in selected_value else ([selected_value],) + +class ListLooperPose: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "SELECTION": ([ + "pose_view", + "pose_camera", + "pose_face", + "pose_arms", + "pose_legs", + "pose_body", + "pose_head_neck", + "pose_dynamic", + "pose_action", + "pose_sitting", + "pose_unique", + "pose_for_object" + ], {"forceInput": False}), + "pose_view": ([f"ALL ({len(SharedLists.POSE_VIEW)})"] + SharedLists.POSE_VIEW,), + "pose_camera": ([f"ALL ({len(SharedLists.POSE_CAMERA)})"] + SharedLists.POSE_CAMERA,), + "pose_face": ([f"ALL ({len(SharedLists.POSE_FACE)})"] + SharedLists.POSE_FACE,), + "pose_arms": ([f"ALL ({len(SharedLists.POSE_ARMS)})"] + SharedLists.POSE_ARMS,), + "pose_legs": ([f"ALL ({len(SharedLists.POSE_LEGS)})"] + SharedLists.POSE_LEGS,), + "pose_body": ([f"ALL ({len(SharedLists.POSE_BODY)})"] + SharedLists.POSE_BODY,), + "pose_head_neck": ([f"ALL ({len(SharedLists.POSE_HEAD_NECK)})"] + SharedLists.POSE_HEAD_NECK,), + "pose_dynamic": ([f"ALL ({len(SharedLists.POSE_DYNAMIC)})"] + SharedLists.POSE_DYNAMIC,), + "pose_action": ([f"ALL ({len(SharedLists.POSE_ACTION)})"] + SharedLists.POSE_ACTION,), + "pose_sitting": ([f"ALL ({len(SharedLists.POSE_SITTING)})"] + SharedLists.POSE_SITTING,), + "pose_unique": ([f"ALL ({len(SharedLists.POSE_UNIQUE)})"] + SharedLists.POSE_UNIQUE,), + "pose_for_object": ([f"ALL ({len(SharedLists.POSE_OBJECT)})"] + SharedLists.POSE_OBJECT,), + } + } + + RETURN_TYPES = (Everything("*"),) + FUNCTION = "get_list" + OUTPUT_IS_LIST = (True,) + CATEGORY = "Bjornulf" + + def get_list(self, SELECTION, pose_view, pose_camera, pose_face, + pose_arms, pose_legs, pose_body, pose_head_neck, + pose_dynamic, pose_action, pose_sitting, pose_unique, + pose_for_object): + selection_map = { + "pose_view": (pose_view, SharedLists.POSE_VIEW), + "pose_camera": (pose_camera, SharedLists.POSE_CAMERA), + "pose_face": (pose_face, SharedLists.POSE_FACE), + "pose_arms": (pose_arms, SharedLists.POSE_ARMS), + "pose_legs": (pose_legs, SharedLists.POSE_LEGS), + "pose_body": (pose_body, SharedLists.POSE_BODY), + "pose_head_neck": (pose_head_neck, SharedLists.POSE_HEAD_NECK), + "pose_dynamic": (pose_dynamic, SharedLists.POSE_DYNAMIC), + "pose_action": (pose_action, SharedLists.POSE_ACTION), + "pose_sitting": (pose_sitting, SharedLists.POSE_SITTING), + "pose_unique": (pose_unique, SharedLists.POSE_UNIQUE), + "pose_for_object": (pose_for_object, SharedLists.POSE_OBJECT) + } + selected_value, full_list = selection_map[SELECTION] + return (full_list,) if "ALL" in selected_value else ([selected_value],) + +class ListLooperScene: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "SELECTION": (["scene_type", "time_period", "weather_condition", "ambiance", "setting"], {"forceInput": False}), + "scene_type": ([f"ALL ({len(SharedLists.SCENE_TYPES)})"] + SharedLists.SCENE_TYPES,), + "time_period": ([f"ALL ({len(SharedLists.TIME_PERIODS)})"] + SharedLists.TIME_PERIODS,), + "weather_condition": ([f"ALL ({len(SharedLists.WEATHER_CONDITIONS)})"] + SharedLists.WEATHER_CONDITIONS,), + "ambiance": ([f"ALL ({len(SharedLists.AMBIANCE_TYPES)})"] + SharedLists.AMBIANCE_TYPES,), + "setting": ([f"ALL ({len(SharedLists.SETTINGS)})"] + SharedLists.SETTINGS,), + } + } + + RETURN_TYPES = (Everything("*"),) + FUNCTION = "get_list" + OUTPUT_IS_LIST = (True,) + CATEGORY = "Bjornulf" + + def get_list(self, SELECTION, scene_type, time_period, weather_condition, ambiance, setting): + selection_map = { + "scene_type": (scene_type, SharedLists.SCENE_TYPES), + "time_period": (time_period, SharedLists.TIME_PERIODS), + "weather_condition": (weather_condition, SharedLists.WEATHER_CONDITIONS), + "ambiance": (ambiance, SharedLists.AMBIANCE_TYPES), + "setting": (setting, SharedLists.SETTINGS) + } + selected_value, full_list = selection_map[SELECTION] + return (full_list,) if "ALL" in selected_value else ([selected_value],) + +class ListLooper: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "SELECTION": (["camera_angle","shot_type","lighting","multi_char_action"],{"forceInput": False}), + "camera_angle": ([f"ALL ({len(SharedLists.CAMERA_ANGLES)})"] + SharedLists.CAMERA_ANGLES,{"forceInput": False}), + "shot_type": ([f"ALL ({len(SharedLists.SHOT_TYPES)})"] + SharedLists.SHOT_TYPES,{"forceInput": False}), + # "lighting": ([f"ALL ({len(SharedLists.LIGHTING)})"] + SharedLists.LIGHTING,{"forceInput": False}), + "multi_char_action": ([f"ALL ({len(SharedLists.ACTIONS)})"] + SharedLists.ACTIONS,{"forceInput": False}), + } + } + + RETURN_TYPES = (Everything("*"),) + FUNCTION = "get_list" + OUTPUT_IS_LIST = (True,) + CATEGORY = "Bjornulf" + + def get_list(self, SELECTION, camera_angle, shot_type, lighting, multi_char_action): + selection_map = { + "camera_angle": (camera_angle, SharedLists.CAMERA_ANGLES), + "shot_type": (shot_type, SharedLists.SHOT_TYPES), + # "lighting": (lighting, SharedLists.LIGHTING), + "multi_char_action": (multi_char_action, SharedLists.ACTIONS) + } + selected_value, full_list = selection_map[SELECTION] + return (full_list,) if "ALL" in selected_value else ([selected_value],) + +class TextGeneratorCharacterPose: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "pose_view": (["NONE", "RANDOM"] + SharedLists.POSE_VIEW,), + "pose_camera": (["NONE", "RANDOM"] + SharedLists.POSE_CAMERA,), + "pose_face": (["NONE", "RANDOM"] + SharedLists.POSE_FACE,), + "pose_arms": (["NONE", "RANDOM"] + SharedLists.POSE_ARMS,), + "pose_legs": (["NONE", "RANDOM"] + SharedLists.POSE_LEGS,), + "pose_body": (["NONE", "RANDOM"] + SharedLists.POSE_BODY,), + "pose_head_neck": (["NONE", "RANDOM"] + SharedLists.POSE_HEAD_NECK,), + "pose_dynamic": (["NONE", "RANDOM"] + SharedLists.POSE_DYNAMIC,), + "pose_action": (["NONE", "RANDOM"] + SharedLists.POSE_ACTION,), + "pose_sitting": (["NONE", "RANDOM"] + SharedLists.POSE_SITTING,), + "pose_unique": (["NONE", "RANDOM"] + SharedLists.POSE_UNIQUE,), + "pose_for_GEN_OBJECT": (["NONE", "RANDOM"] + SharedLists.POSE_OBJECT,), + "CUSTOM_PROMPT": ("STRING", {"multiline": True, "default": ""}), + }, + "optional": { + "GEN_OBJECT": ("GEN_OBJECT",), + "add_GEN_POSE": ("GEN_POSE",), + } + } + + RETURN_TYPES = ("GEN_POSE",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def select_value(self, options, current_value, rng): + if current_value == "RANDOM": + valid_options = [opt for opt in options if opt not in ["RANDOM", "NONE"]] + return rng.choice(valid_options) if valid_options else "" + elif current_value == "NONE": + return "" + return current_value + + def generate(self, seed, pose_view, pose_camera, pose_face, pose_arms, pose_legs, pose_body, + pose_head_neck, pose_dynamic, pose_action, pose_sitting, pose_unique, + pose_for_GEN_OBJECT, CUSTOM_PROMPT, GEN_OBJECT=None, add_GEN_POSE=None): + rng = random.Random(seed) + all_poses = [] + + # If there's an incoming pose, add it to all_poses first + if add_GEN_POSE is not None: + all_poses.extend([pose.strip() for pose in add_GEN_POSE.split(',')]) + + # Dictionary mapping input parameters to their corresponding lists + pose_mappings = { + 'pose_view': (pose_view, SharedLists.POSE_VIEW), + 'pose_camera': (pose_camera, SharedLists.POSE_CAMERA), + 'pose_face': (pose_face, SharedLists.POSE_FACE), + 'pose_arms': (pose_arms, SharedLists.POSE_ARMS), + 'pose_legs': (pose_legs, SharedLists.POSE_LEGS), + 'pose_body': (pose_body, SharedLists.POSE_BODY), + 'pose_head_neck': (pose_head_neck, SharedLists.POSE_HEAD_NECK), + 'pose_dynamic': (pose_dynamic, SharedLists.POSE_DYNAMIC), + 'pose_action': (pose_action, SharedLists.POSE_ACTION), + 'pose_sitting': (pose_sitting, SharedLists.POSE_SITTING), + 'pose_unique': (pose_unique, SharedLists.POSE_UNIQUE) + } + + # Process each pose type + for pose_name, (pose_value, pose_list) in pose_mappings.items(): + selected_pose = self.select_value(['NONE', 'RANDOM'] + pose_list, pose_value, rng) + if selected_pose: + all_poses.append(selected_pose) + + # Handle object-related poses + if pose_for_GEN_OBJECT != "NONE" and GEN_OBJECT: + action = self.select_value(['NONE', 'RANDOM'] + SharedLists.POSE_OBJECT, pose_for_GEN_OBJECT, rng) + if action: + objects = [obj.strip() for obj in GEN_OBJECT.split(',')] + object_poses = [f"{action} {obj}" for obj in objects] + all_poses.extend(object_poses) + elif pose_for_GEN_OBJECT != "NONE": + action = self.select_value(['NONE', 'RANDOM'] + SharedLists.POSE_OBJECT, pose_for_GEN_OBJECT, rng) + if action: + all_poses.append(f"{action} something") + + if CUSTOM_PROMPT: + all_poses.append(CUSTOM_PROMPT) + + # Remove any empty strings and join with commas + all_poses = [pose for pose in all_poses if pose.strip()] + return (", ".join(all_poses),) + + +class TextGeneratorCharacterObject: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "object_selection": (["CUSTOM"] + SharedLists.OBJECTS,), + "custom_object": ("STRING", {"default": "", "multiline": False}), + "CUSTOM_PROMPT_PREFIX": ("STRING", {"default": "", "multiline": True}), + "CUSTOM_PROMPT_SUFFIX": ("STRING", {"default": "", "multiline": True}), + }, + "optional": { + "add_GEN_OBJECT": ("GEN_OBJECT",), + } + } + + RETURN_TYPES = ("GEN_OBJECT",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def generate(self, object_selection, custom_object, CUSTOM_PROMPT_PREFIX, CUSTOM_PROMPT_SUFFIX, add_GEN_OBJECT=None): + # Handle the current object + if object_selection == "CUSTOM": + current_object = custom_object.strip() if custom_object.strip() else "object" + else: + current_object = object_selection + + # Create the formatted object string + prefix = f"{CUSTOM_PROMPT_PREFIX.strip()} " if CUSTOM_PROMPT_PREFIX.strip( + ) else "" + suffix = f" {CUSTOM_PROMPT_SUFFIX.strip()}" if CUSTOM_PROMPT_SUFFIX.strip( + ) else "" + formatted_object = f"{prefix}{current_object}{suffix}" + + # If there are previous objects, append the current one + if add_GEN_OBJECT: + return (f"{add_GEN_OBJECT}, {formatted_object}",) + + return (formatted_object,) + +class TextGeneratorCharacterCreature: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "enabled": ("BOOLEAN", {"default": True}), + "number_of_creatures": ("INT", {"default": 1, "min": 1, "max": 10}), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "location_on_image": (["NONE", "RANDOM"] + SharedLists.POSITIONS,), + "creature_type": (["RANDOM", "NONE"] + [creature["name"] for creature in SharedLists.CREATURE_TYPES.values()],), + "show_creature_description": ("BOOLEAN", {"default": False}), + "land_animal": (["NONE", "RANDOM"] + SharedLists.LAND_ANIMALS,), + "water_animal": (["NONE", "RANDOM"] + SharedLists.WATER_ANIMALS,), + "size": (["NONE", "RANDOM"] + SharedLists.CREATURE_SIZES,), + "temperament": (["NONE", "RANDOM"] + SharedLists.CREATURE_TEMPERAMENTS,), + "special_ability": (["NONE", "RANDOM"] + SharedLists.CREATURE_ABILITIES,), + "features": (["NONE", "RANDOM"] + SharedLists.CREATURE_FEATURES,), + "magical_properties": (["NONE", "RANDOM"] + SharedLists.MAGICAL_PROPERTIES,), + "CUSTOM_PROMPT": ("STRING", {"multiline": True, "default": ""}), + }, + "optional": { + "add_GEN_CHARACTER": ("GEN_CHARACTER",), + } + } + + RETURN_TYPES = ("GEN_CHARACTER",) + FUNCTION = "generate" + CATEGORY = "Bjornulf" + + def select_value(self, options, current_value, rng): + if current_value == "RANDOM": + valid_options = [ + opt for opt in options if opt not in ["RANDOM", "NONE"]] + return rng.choice(valid_options) + elif current_value == "NONE": + return "" + return current_value + + def generate(self, enabled, number_of_creatures, seed, location_on_image, creature_type, land_animal, water_animal, + show_creature_description, size, temperament, special_ability, features, + magical_properties, CUSTOM_PROMPT, add_GEN_CHARACTER=None): + + if not enabled: + return (add_GEN_CHARACTER if add_GEN_CHARACTER else "",) + + rng = random.Random(seed) + + values = { + 'location_on_image': self.select_value(self.INPUT_TYPES()["required"]["location_on_image"][0], location_on_image, rng), + 'creature_type': self.select_value(self.INPUT_TYPES()["required"]["creature_type"][0], creature_type, rng), + 'size': self.select_value(self.INPUT_TYPES()["required"]["size"][0], size, rng), + 'land_animal': self.select_value(self.INPUT_TYPES()["required"]["land_animal"][0], land_animal, rng), + 'water_animal': self.select_value(self.INPUT_TYPES()["required"]["water_animal"][0], water_animal, rng), + 'temperament': self.select_value(self.INPUT_TYPES()["required"]["temperament"][0], temperament, rng), + 'special_ability': self.select_value(self.INPUT_TYPES()["required"]["special_ability"][0], special_ability, rng), + 'features': self.select_value(self.INPUT_TYPES()["required"]["features"][0], features, rng), + 'magical_properties': self.select_value(self.INPUT_TYPES()["required"]["magical_properties"][0], magical_properties, rng), + } + + desc_parts = [] + + # Location + if values['location_on_image']: + desc_parts.append(f"On the {values['location_on_image']} of the image:") + + # Basic description + base_desc = f"{number_to_word(number_of_creatures)} {values['size']} {values['creature_type']}" + desc_parts.append(base_desc) + + # Add creature description if enabled + if show_creature_description and values['creature_type'] in SharedLists.CREATURE_TYPES: + desc_parts.append(f"({SharedLists.CREATURE_TYPES[values['creature_type']]['description']})") + + # Animals + if values['land_animal']: + desc_parts.append(values['land_animal']) + if values['water_animal']: + desc_parts.append(values['water_animal']) + + # Temperament + if values['temperament']: + desc_parts.append(f"with a {values['temperament']} nature") + + # Features + if values['features']: + desc_parts.append(f"covered in {values['features']}") + + # Special ability + if values['special_ability']: + desc_parts.append(f"possessing {values['special_ability']} abilities") + + # Magical properties + if values['magical_properties']: + desc_parts.append(f"imbued with {values['magical_properties']}") + + # Custom prompt + if CUSTOM_PROMPT.strip(): + desc_parts.append(CUSTOM_PROMPT.strip()) + + # Combine description + # Use careful join logic to prevent unwanted commas + if values['location_on_image']: + # Treat the first part separately to avoid a leading comma + character_desc = desc_parts[0] + " " + ", ".join(desc_parts[1:]) + else: + character_desc = ", ".join(desc_parts) + + if number_of_creatures > 1: + final_description = f"{'-' * number_of_creatures} {character_desc}" + else: + final_description = f"- {character_desc}" + + if add_GEN_CHARACTER: + return (f"{add_GEN_CHARACTER}\n{final_description}",) + return (final_description,) \ No newline at end of file diff --git a/web/js/API_civitai.js b/web/js/API_civitai.js new file mode 100644 index 0000000..174f145 --- /dev/null +++ b/web/js/API_civitai.js @@ -0,0 +1,29 @@ +import { app } from "../../../scripts/app.js"; + +app.registerExtension({ + name: "Bjornulf.CivitAIModelSelector", + async nodeCreated(node) { + if (node.comfyClass === "Bjornulf_CivitAIModelSelector") { + // Find all upload widgets + const uploadWidgets = node.widgets.filter(w => w.type === "file"); + + uploadWidgets.forEach(widget => { + // Store the original draw function + const originalDraw = widget.draw; + + // Override the draw function + widget.draw = function(ctx, node, width, pos, height) { + const result = originalDraw.call(this, ctx, node, width, pos, height); + + // Hide all file inputs for this widget + const fileInputs = document.querySelectorAll(`input[type="file"][data-widget="${this.name}"]`); + fileInputs.forEach(input => { + input.style.display = 'none'; + }); + + return result; + }; + }); + } + } +}); \ No newline at end of file