first commit

2026-09-20 18:31:27 -03:00 · 2024-07-06 12:05:16 +02:00
commit 643bf5d843
74 changed files with 1553 additions and 0 deletions
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+class CustomStringType:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"value": ("STRING", {"multiline": True})}}
+    
+    RETURN_TYPES = ("CUSTOM_STRING",)
+    FUNCTION = "passthrough"
+    CATEGORY = "Bjornulf"
+
+    def passthrough(self, value):
+        return (value,)
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+ 
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+saluts
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+encule
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+connard
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+from .create_video import imgs2vid
+from .write_text import WriteText
+from .write_image_environment import WriteImageEnvironment
+from .write_image_characters import WriteImageCharacters
+from .write_image_character import WriteImageCharacter
+from .write_image_allinone import WriteImageAllInOne
+from .combine_texts import CombineTexts
+from .loop_texts import LoopTexts
+from .random_texts import RandomTexts
+from .random_model_clip_vae import RandomModelClipVae
+from .video_pingpong import VideoPingPong
+from .loop_float import LoopFloat
+from .loop_integer import LoopInteger
+from .loop_basic_batch import LoopBasicBatch
+from .loop_samplers import LoopSamplers
+from .loop_schedulers import LoopSchedulers
+from .ollama import ollamaLoader
+from .show_text import ShowText
+from .show_int import ShowInt
+from .show_float import ShowFloat
+from .save_text import SaveText
+from .save_tmp_image import SaveTmpImage
+from .save_api_image import SaveApiImage
+from .loop_my_combos_samplers_schedulers import LoopCombosSamplersSchedulers
+
+# from .CUSTOM_STRING import CustomStringType
+
+NODE_CLASS_MAPPINGS = {
+    # "Bjornulf_CustomStringType": CustomStringType,
+    "Bjornulf_ollamaLoader": ollamaLoader,
+    "Bjornulf_WriteText": WriteText,
+    # "Bjornulf_WriteImageEnvironment": WriteImageEnvironment,
+    # "Bjornulf_WriteImageCharacters": WriteImageCharacters,
+    # "Bjornulf_WriteImageCharacter": WriteImageCharacter,
+    # "Bjornulf_WriteImageAllInOne": WriteImageAllInOne,
+    "Bjornulf_ShowText": ShowText,
+    "Bjornulf_ShowInt": ShowInt,
+    "Bjornulf_ShowFloat": ShowFloat,
+    "Bjornulf_SaveText": SaveText,
+    "Bjornulf_SaveTmpImage": SaveTmpImage,
+    "Bjornulf_SaveApiImage": SaveApiImage,
+    "Bjornulf_CombineTexts": CombineTexts,
+    "Bjornulf_LoopTexts": LoopTexts,
+    "Bjornulf_RandomTexts": RandomTexts,
+    "Bjornulf_RandomModelClipVae": RandomModelClipVae,
+    "Bjornulf_imgs2vid": imgs2vid,
+    "Bjornulf_VideoPingPong": VideoPingPong,
+    "Bjornulf_LoopFloat": LoopFloat,
+    "Bjornulf_LoopInteger": LoopInteger,
+    "Bjornulf_LoopBasicBatch": LoopBasicBatch,
+    "Bjornulf_LoopSamplers": LoopSamplers,
+    "Bjornulf_LoopSchedulers": LoopSchedulers,
+    "Bjornulf_LoopCombosSamplersSchedulers": LoopCombosSamplersSchedulers,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    # "Bjornulf_CustomStringType": "!!! CUSTOM STRING TYPE !!!",
+    "Bjornulf_ollamaLoader": "🦙 Ollama (Description)",
+    "Bjornulf_ShowText": "👁 Show (Text)",
+    "Bjornulf_ShowInt": "👁 Show (Int)",
+    "Bjornulf_ShowFloat": "👁 Show (Float)",
+    "Bjornulf_SaveTmpImage": "🖼 Save Image (tmp_api.png)",
+    "Bjornulf_SaveApiImage": "🖼 Save Image (API_IMAGES/00001.png...)",
+    "Bjornulf_SaveText": "💾 Save Text", #Make SaveCharacter, SaveLocation, SaveCamera, SaveAction, SaveClothes, SaveEmotion...
+    "Bjornulf_LoadText": "📥 Load Text", #Make LoadCharacter, LoadLocation, LoadCamera, LoadAction, LoadClothes, LoadEmotion...
+    "Bjornulf_WriteText": "✒ Write Text",
+    # "Bjornulf_WriteImageEnvironment": "✒ Write Image Environment",
+    # "Bjornulf_WriteImageCharacters": "✒ Write Image Characters",
+    # "Bjornulf_WriteImageCharacter": "✒ Write Image Character",
+    # "Bjornulf_WriteImageAllInOne": "✒ Write Image All-in-one",
+    "Bjornulf_CombineTexts": "🔗 Combine (Texts)",
+    "Bjornulf_LoopTexts": "♻ Loop (Texts)",
+    "Bjornulf_RandomTexts": "🎲 Random (Texts)",
+    "Bjornulf_RandomModelClipVae": "🎲 Random (Model+Clip+Vae)",
+    "Bjornulf_imgs2vid": "📹 imgs2vid (FFmpeg)",
+    "Bjornulf_VideoPingPong": "📹 video PingPong",
+    "Bjornulf_LoopFloat": "♻ Loop (Float)",
+    "Bjornulf_LoopInteger": "♻ Loop (Integer)",
+    "Bjornulf_LoopBasicBatch": "♻ Loop",
+    "Bjornulf_LoopSamplers": "♻ Loop (All Samplers)",
+    "Bjornulf_LoopSchedulers": "♻ Loop (All Schedulers)",
+    "Bjornulf_LoopCombosSamplersSchedulers": "♻ Loop (My combos Sampler⚔Scheduler)",
+}
+
+WEB_DIRECTORY = "./web"
+__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS', 'WEB_DIRECTORY']
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+class CombineTexts:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "number_of_inputs": ("INT", {"default": 2, "min": 2, "max": 10, "step": 1}),
+                "delimiter": (["newline", "comma", "space", "test"], {"default": "newline"}),
+                "text_1": ("STRING", {"forceInput": True}),
+                "text_2": ("STRING", {"forceInput": True}),
+            },
+            "hidden": {
+                **{f"text_{i}": ("STRING", {"forceInput": True}) for i in range(3, 11)}
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "combine_texts"
+    OUTPUT_IS_LIST = (False,)
+    CATEGORY = "Bjornulf"
+
+    def combine_texts(self, number_of_inputs, delimiter, **kwargs):
+        def flatten(item):
+            if isinstance(item, str):
+                return item
+            elif isinstance(item, list):
+                return self.get_delimiter(delimiter).join(map(flatten, item))
+            else:
+                return str(item)
+
+        combined_text = self.get_delimiter(delimiter).join([
+            flatten(kwargs[f"text_{i}"])
+            for i in range(1, number_of_inputs + 1)
+            if f"text_{i}" in kwargs
+        ])
+        return (combined_text,)
+
+    @staticmethod
+    def get_delimiter(delimiter):
+        if delimiter == "newline":
+            return "\n"
+        elif delimiter == "comma":
+            return ","
+        elif delimiter == "space":
+            return " "
+        else:
+            return "\n"
@@ -0,0 +1,91 @@
+import os
+import numpy as np
+import torch
+import subprocess
+from PIL import Image
+
+class imgs2vid:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "images": ("IMAGE",),
+                "fps": ("INT", {"default": 30, "min": 1, "max": 60}),
+                "video_name_NO_format": ("STRING", {"default": "output"}),
+                "format": (["mp4", "webm"],),
+                "audio_path": ("STRING", {"default": "/home/umen/6sec.wav"}),  # New audio input
+            },
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("comment",)
+    FUNCTION = "create_video"
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def create_video(self, images, fps, video_name_NO_format, format, audio_path):
+        # Remove any existing extension
+        video_name_NO_format = os.path.splitext(video_name_NO_format)[0]
+        # Add the correct extension
+        output_file = f"{video_name_NO_format}.{format}"
+        temp_dir = "temp_images"
+        os.makedirs(temp_dir, exist_ok=True)
+        # Ensure the output directory exists
+        os.makedirs(os.path.dirname(output_file) if os.path.dirname(output_file) else ".", exist_ok=True)
+
+        # Save the tensor images as PNG files
+        for i, img_tensor in enumerate(images):
+            img = Image.fromarray((img_tensor.cpu().numpy() * 255).astype(np.uint8))
+            if format == "webm":
+                img = img.convert("RGBA")  # Ensure alpha channel for WebM
+            img.save(os.path.join(temp_dir, f"frame_{i:04d}.png"))
+
+        # Construct the FFmpeg command based on the selected format
+        if format == "mp4":
+            ffmpeg_cmd = [
+                "ffmpeg",
+                "-y",
+                "-framerate", str(fps),
+                "-i", os.path.join(temp_dir, "frame_%04d.png"),
+                "-i", str(audio_path),
+                "-crf", "19",
+                "-c:v", "libx264",
+                "-pix_fmt", "yuv420p",
+                output_file
+            ]
+            comment = "MP4 format: Widely compatible, efficient compression, no transparency support."
+        elif format == "webm":
+            ffmpeg_cmd = [
+                "ffmpeg",
+                "-y",
+                "-framerate", str(fps),
+                "-i", os.path.join(temp_dir, "frame_%04d.png"),
+                "-i", str(audio_path),
+                "-crf", "19",
+                "-c:v", "libvpx",
+                "-b:v", "1M",  # Set video bitrate
+                "-auto-alt-ref", "0",  # Disable auto alt ref
+                "-c:a", "libvorbis",
+                "-pix_fmt", "yuva420p",
+                "-shortest",
+                output_file
+            ]
+            comment = "WebM format: Supports transparency, open format, smaller file size, but less compatible than MP4."
+
+        # Run FFmpeg
+        try:
+            subprocess.run(ffmpeg_cmd, check=True)
+            print(f"Video created successfully: {output_file}")
+        except subprocess.CalledProcessError as e:
+            print(f"Error creating video: {e}")
+        finally:
+            # Clean up temporary files
+            for file in os.listdir(temp_dir):
+                os.remove(os.path.join(temp_dir, file))
+            os.rmdir(temp_dir)
+
+        return (comment,)
+
+# Example usage
+# images = [torch.rand(256, 256, 3) for _ in range(10)]  # Replace with actual image tensors
+# imgs2vid().create_video(images, 30, "output", "webm", "/home/
@@ -0,0 +1,21 @@
+class LoopBasicBatch:
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "nb_loops": ("INT", {"default": 1, "min": 0, "max": 1000, "step": 1}),
+            },
+        }
+
+    RETURN_TYPES = ("INT",)
+    OUTPUT_IS_LIST = (True, False)
+    FUNCTION = "create_loop_basic_batch"
+    CATEGORY = "Bjornulf"
+
+    def create_loop_basic_batch(self, nb_loops):
+        range_values = list()
+        while nb_loops > 0:
+            range_values.append(1)
+            nb_loops -= 1
+        return (range_values,)
@@ -0,0 +1,24 @@
+class LoopFloat:
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "from_this": ("FLOAT", {"default": 0.00, "min": 0.00, "max": 1000.00, "step": 0.01}),
+                "to_that": ("FLOAT", {"default": 10.00, "min": 0.00, "max": 1000.00, "step": 0.01}),
+                "jump": ("FLOAT", {"default": 1.00, "min": 0.00, "max": 1000.00, "step": 0.01}),
+            },
+        }
+
+    RETURN_TYPES = ("FLOAT",)
+    OUTPUT_IS_LIST = (True, False)
+    FUNCTION = "create_loop_float"
+    CATEGORY = "Bjornulf"
+
+    def create_loop_float(self, from_this, to_that, jump):
+        range_values = []
+        current_value = from_this
+        while current_value <= to_that:
+            range_values.append(round(current_value, 2))  # Round to two decimal places
+            current_value += jump
+        return (range_values,)
@@ -0,0 +1,32 @@
+# class AnyType(str):
+#     def __ne__(self, __value: object) -> bool:
+#         return False
+# any_type = AnyType("*")
+
+class LoopInteger:
+    
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "from_this": ("INT", {"default": 0, "min": 0, "max": 1000, "step": 1}),
+                "to_that": ("INT", {"default": 10, "min": 0, "max": 1000, "step": 1}),
+                "jump": ("INT", {"default": 1, "min": 0, "max": 1000, "step": 1}),
+            },
+            # "optional": {
+            #     "nb_loops": (any_type,)
+            # }
+        }
+
+    RETURN_TYPES = ("INT",)
+    OUTPUT_IS_LIST = (True, False)
+    FUNCTION = "create_loop_integer"
+    CATEGORY = "Bjornulf"
+
+    def create_loop_integer(self, from_this, to_that, jump):
+        range_values = list()
+        current_value = from_this
+        while current_value <= to_that:
+            range_values.append(current_value)
+            current_value += jump
+        return (range_values,)
@@ -0,0 +1,82 @@
+import comfy
+
+class LoopCombosSamplersSchedulers:
+    combinations = [
+        "sgm_uniform/euler", "sgm_uniform/dpm_2", "sgm_uniform/dpmpp_2m", "sgm_uniform/lcm",
+        "sgm_uniform/ddim", "sgm_uniform/uni_pc",
+
+        "normal/ddim", "normal/uni_pc", "normal/euler", "normal/heunpp2", "normal/dpm_2",
+
+        "ddim_uniform/euler", "ddim_uniform/dpm_2", "ddim_uniform/lcm", "ddim_uniform/uni_pc",
+
+        "simple/euler", "simple/heun", "simple/heunpp2", "simple/dpmpp_2m", "simple/lcm", "simple/ipndm", "simple/uni_pc",
+
+        "exponential/dpm_adaptive"
+    ]
+    # "normal/uni_pc_bh2", "ddim_uniform/uni_pc_bh2", "simple/uni_pc_bh2", "sgm_uniform/uni_pc_bh2"
+    @classmethod
+    def INPUT_TYPES(cls):
+        # Generate the list of combinations from specified pairs
+        combi_list = ["ALL 6 COMBINATIONS (sgm_uniform)", "ALL 5 COMBINATIONS (normal)", "ALL 5 COMBINATIONS (ddim_uniform)", "ALL 7 COMBINATIONS (simple)"] + cls.combinations
+        return {
+            "required": {
+                "combination": (combi_list,),
+            }
+        }
+
+    RETURN_TYPES = (comfy.samplers.KSampler.SAMPLERS, comfy.samplers.KSampler.SCHEDULERS,)
+    RETURN_NAMES = ("sampler_name", "scheduler",)
+    OUTPUT_IS_LIST = (True, False)
+    FUNCTION = "create_loop_combination"
+    CATEGORY = "Bjornulf"
+
+    def create_loop_combination(self, combination):
+        if combination == "ALL 6 COMBINATIONS (sgm_uniform)":
+            return (["euler", "dpm_2", "dpmpp_2m", "lcm", "ddim", "uni_pc"], "sgm_uniform",) #, "uni_pc_bh2" uni_pc_bh2 is too similar to exist....
+        elif combination == "ALL 5 COMBINATIONS (normal)":
+            return (["ddim", "uni_pc", "euler", "heunpp2", "dpm_2"], "normal",) #, "uni_pc_bh2"
+        elif combination == "ALL 5 COMBINATIONS (ddim_uniform)":
+            return (["euler", "dpm_2", "lcm", "ddim", "uni_pc"], "ddim_uniform",) #, "uni_pc_bh2"
+        elif combination == "ALL 7 COMBINATIONS (simple)":
+            return (["euler", "heun", "heunpp2", "dpmpp_2m", "lcm", "ipndm", "uni_pc"], "simple",) #, "uni_pc_bh2"
+        else:
+            # Split the input and output the selected sampler and scheduler
+            scheduler, sampler = combination.split("/")
+            # return [(sampler, scheduler,)]
+            return ([sampler], scheduler,)
+
+# + ("exponential", "dpm_adaptive")
+
+# TESTED GOOD WITH SD3, modelsampling 5 / CFG 3 / 28 steps
+
+# sgm_uniform + euler
+# sgm_uniform + dpm_2
+# sgm_uniform + dpmpp_2m
+# sgm_uniform + lcm
+# sgm_uniform + ddim
+# sgm_uniform + uni_pc
+# sgm_uniform + uni_pc_bh2
+
+# normal + ddim
+# normal + uni_pc
+# normal + uni_pc_bh2
+# normal + euler
+# normal + heunpp2
+# normal + dpm_2
+
+# ddim_uniform + euler
+# ddim_uniform + dpm_2
+# ddim_uniform + lcm
+# ddim_uniform + uni_pc
+# ddim_uniform + uni_pc_bh2
+
+# simple + euler
+# simple + heun
+# simple + heunpp2
+# simple + dpmpp_2m
+# simple + lcm
+# simple + ipndm
+# simple + uni_pc
+# simple + uni_pc_bh2
+
+# exponential + dpm_adaptive
@@ -0,0 +1,23 @@
+import comfy
+
+class LoopSamplers:
+    @classmethod
+    def INPUT_TYPES(cls):
+        samplers = ["ALL SAMPLERS"] + list(comfy.samplers.KSampler.SAMPLERS)
+        return {
+            "required": {
+                "sampler_name": (samplers,),
+            }
+        }
+
+    RETURN_TYPES = (comfy.samplers.KSampler.SAMPLERS,)
+    RETURN_NAMES = ("sampler_name",)
+    OUTPUT_IS_LIST = (True,)
+    FUNCTION = "create_loop_sampler"
+    CATEGORY = "Bjornulf"
+
+    def create_loop_sampler(self, sampler_name):
+        if sampler_name == "ALL SAMPLERS":
+            return (list(comfy.samplers.KSampler.SAMPLERS),)
+        else:
+            return ([sampler_name],)
@@ -0,0 +1,23 @@
+import comfy
+
+class LoopSchedulers:
+    @classmethod
+    def INPUT_TYPES(cls):
+        schedulers = ["ALL SCHEDULERS"] + list(comfy.samplers.KSampler.SCHEDULERS)
+        return {
+            "required": {
+                "scheduler": (schedulers,),
+            }
+        }
+
+    RETURN_TYPES = (comfy.samplers.KSampler.SCHEDULERS,)
+    RETURN_NAMES = ("scheduler",)
+    OUTPUT_IS_LIST = (True,)
+    FUNCTION = "create_loop_scheduler"
+    CATEGORY = "Bjornulf"
+
+    def create_loop_scheduler(self, scheduler):
+        if scheduler == "ALL SCHEDULERS":
+            return (list(comfy.samplers.KSampler.SCHEDULERS),)
+        else:
+            return ([scheduler],)
@@ -0,0 +1,22 @@
+class LoopTexts:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "number_of_inputs": ("INT", {"default": 2, "min": 2, "max": 10, "step": 1}),
+                "text_1": ("STRING", {"forceInput": "True"}),
+                "text_2": ("STRING", {"forceInput": "True"}),
+            },
+            "hidden": {
+                **{f"text_{i}": ("STRING", {"forceInput": "True"}) for i in range(3, 11)}
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "loop_texts"
+    OUTPUT_IS_LIST = (True,)
+    CATEGORY = "Bjornulf"
+
+    def loop_texts(self, number_of_inputs, **kwargs):
+        text_list = [kwargs[f"text_{i}"] for i in range(1, number_of_inputs + 1) if f"text_{i}" in kwargs]
+        return (text_list,)
@@ -0,0 +1,28 @@
+import ollama
+from ollama import Client  # pip install ollama
+
+class ollamaLoader:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "user_prompt": ("STRING", {"multiline": True}),
+                # "selected_model": ((), {}),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("ollama_response",)
+    FUNCTION = "connect_2_ollama"
+    # INPUT_NODE = True  # Changed from OUTPUT_NODE to INPUT_NODE
+    CATEGORY = "Bjornulf"
+
+    # @classmethod
+    def connect_2_ollama(self, user_prompt):
+        keep_alive = 0
+        list_models=ollama.list() #{'models': [{'name': 'dolphin-llama3:latest', 'model': 'dolphin-llama3:latest', 'modified_at': '2024-04-24T06:56:57.498527412+02:00', 'size': 4661235994, 'digest': '613f068e29f863bb900e568f920401b42678efca873d7a7c87b0d6ef4945fadd', 'details': {'parent_model': '', 'format': 'gguf', 'family': 'llama', 'families': ['llama'], 'parameter_size': '8B', 'quantization_level': 'Q4_0'}}]}
+        print(list_models)
+        client = Client(host="http://127.0.0.1:11434")
+        response = client.generate(model="dolphin-llama3", system="I will give you an object, animal, person or landscape, just create details about it : colors, size, clothes, eyes and other physical details or features in 1 sentence.", prompt=user_prompt, keep_alive=str(keep_alive) + "m")
+        print("Ollama response : ", response['response'])
+        return (response['response'],)
@@ -0,0 +1,28 @@
+import random
+
+class RandomCheckpoint:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "number_of_inputs": ("INT", {"default": 2, "min": 2, "max": 10, "step": 1}),
+                "model_1": ("MODEL", {"forceInput": True}),
+                "clip_1": ("CLIP", {"forceInput": True}),
+                "vae_1": ("VAE", {"forceInput": True}),
+                "model_2": ("MODEL", {"forceInput": True}),
+                "clip_2": ("CLIP", {"forceInput": True}),
+                "vae_2": ("VAE", {"forceInput": True}),
+            }
+        }
+
+    RETURN_TYPES = ("MODEL", "CLIP", "VAE")
+    FUNCTION = "random_select"
+
+    def random_select(self, number_of_inputs, **kwargs):
+        selected_index = random.randint(1, number_of_inputs)
+        
+        selected_model = kwargs[f"model_{selected_index}"]
+        selected_clip = kwargs[f"clip_{selected_index}"]
+        selected_vae = kwargs[f"vae_{selected_index}"]
+        
+        return (selected_model, selected_clip, selected_vae)
@@ -0,0 +1,33 @@
+import random
+
+class RandomModelClipVae:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "number_of_inputs": ("INT", {"default": 2, "min": 2, "max": 10, "step": 1}),
+                "model_1": ("MODEL", {"forceInput": True}),
+                "clip_1": ("CLIP", {"forceInput": True}),
+                "vae_1": ("VAE", {"forceInput": True}),
+                "model_2": ("MODEL", {"forceInput": True}),
+                "clip_2": ("CLIP", {"forceInput": True}),
+                "vae_2": ("VAE", {"forceInput": True}),
+            },
+            "hidden": {
+                **{f"model_{i}": ("MODEL", {"forceInput": True}) for i in range(3, 11)},
+                **{f"clip_{i}": ("CLIP", {"forceInput": True}) for i in range(3, 11)},
+                **{f"vae_{i}": ("VAE", {"forceInput": True}) for i in range(3, 11)}
+            }
+        }
+
+    RETURN_TYPES = ("MODEL", "CLIP", "VAE")
+    FUNCTION = "random_select"
+
+    def random_select(self, number_of_inputs, **kwargs):
+        selected_index = random.randint(1, number_of_inputs)
+        
+        selected_model = kwargs[f"model_{selected_index}"]
+        selected_clip = kwargs[f"clip_{selected_index}"]
+        selected_vae = kwargs[f"vae_{selected_index}"]
+        
+        return (selected_model, selected_clip, selected_vae)
@@ -0,0 +1,27 @@
+import random
+
+class RandomTexts:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "number_of_inputs": ("INT", {"default": 2, "min": 2, "max": 30, "step": 1}),
+                "number_of_random": ("INT", {"default": 1, "min": 1, "max": 30, "step": 1}),
+                "text_1": ("STRING", {"forceInput": "True"}),
+                "text_2": ("STRING", {"forceInput": "True"}),
+                "seed": ("INT", {"default": "1"}), #Used with control_after_generate,
+            },
+            "hidden": {
+                **{f"text_{i}": ("STRING", {"forceInput": "True"}) for i in range(3, 31)}
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "random_texts"
+    OUTPUT_IS_LIST = (False,)
+    CATEGORY = "Bjornulf"
+    
+    def random_texts(self, number_of_inputs, number_of_random, **kwargs):
+        texts = [kwargs[f"text_{i}"] for i in range(1, number_of_inputs + 1) if f"text_{i}" in kwargs]
+        random_texts = random.sample(texts, min(number_of_random, len(texts)))
+        return (random_texts,)
@@ -0,0 +1,47 @@
+import os
+import numpy as np
+from PIL import Image
+
+class SaveApiImage:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": ("IMAGE", {"forceInput": True}),
+            }
+        }
+
+    FUNCTION = "save_api_image"
+    RETURN_TYPES = ()
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def save_api_image(self, image):
+        # Ensure the output directory exists
+        os.makedirs("./output/", exist_ok=True)
+
+        # Convert the image from ComfyUI format to PIL Image
+        i = 255. * image.cpu().numpy()
+        if i.ndim > 3:
+            i = np.squeeze(i)
+        if i.ndim == 2:
+            i = i[:, :, np.newaxis]
+
+        img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+
+        # Determine the next available filename
+        counter = 1
+        while True:
+            filename = f"./output/api_{counter:05d}.png"
+            if not os.path.exists(filename):
+                break
+            counter += 1
+
+        # Save the image with the determined filename
+        img.save(filename, format="PNG")
+
+        # Write the number of the last image to a text file with leading zeroes
+        with open("./output/api_next_image.txt", "w") as f:
+            f.write(f"api_{counter+1:05d}.png")
+
+        return ()
@@ -0,0 +1,37 @@
+import os
+
+class SaveText:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "text": ("STRING", {"multiline": True, "forceInput": True}),
+                "filename": ("STRING", {"default": "001.txt"})
+            }
+        }
+
+    # INPUT_IS_LIST = True
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("text",)
+    FUNCTION = "save_text"
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+    # OUTPUT_IS_LIST = (True,)
+    
+    def save_text(self, text, filename):
+        directory = "custom_nodes/Bjornulf_custom_nodes/SaveText/"
+        if not os.path.exists(directory):
+            os.makedirs(directory)
+        
+        base, ext = os.path.splitext(filename)
+        counter = 1
+        new_filename = os.path.join(directory, filename)
+
+        while os.path.exists(new_filename):
+            new_filename = os.path.join(directory, f"{base}_{counter:03d}{ext}")
+            counter += 1
+
+        with open(new_filename, 'w') as file:
+            file.write(text)
+        
+        return {"ui": {"text": text}, "result": (text,)}
@@ -0,0 +1,38 @@
+import os
+import numpy as np
+from PIL import Image
+
+class SaveTmpImage:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": ("IMAGE", {"forceInput": True}),
+            }
+        }
+
+    FUNCTION = "save_image"
+    RETURN_TYPES = ()
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def save_image(self, image):
+        # Ensure the output directory exists
+        # os.makedirs("./output", exist_ok=True)
+
+        # Convert the image from ComfyUI format to PIL Image
+        # Assuming the first two dimensions are extra, and we need to keep the last two
+        i = 255. * image.cpu().numpy()
+        # Reshape the image if it's not in the expected format, remove any leading dimensions of size 1
+        if i.ndim > 3:
+            i = np.squeeze(i)
+        # Ensure the image is 3D (height, width, channels)
+        if i.ndim == 2:
+            i = i[:, :, np.newaxis]  # Add a channel dimension if it's missing
+
+        img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+
+        # Save the image, overwriting if it exists
+        img.save("./output/tmp_api.png", format="PNG")
+
+        return ()
@@ -0,0 +1,18 @@
+class ShowFloat:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "float_value": ("FLOAT", {"forceInput": True}),
+            },
+        }
+
+    INPUT_IS_LIST = True
+    RETURN_TYPES = ()
+    FUNCTION = "show_float"
+    OUTPUT_NODE = True
+    INPUT_IS_LIST = (True,)
+    CATEGORY = "Bjornulf"
+    
+    def show_float(self, float_value):
+        return {"ui": {"text": float_value}}
@@ -0,0 +1,18 @@
+class ShowInt:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "int_value": ("INT", {"forceInput": True}),
+            },
+        }
+
+    INPUT_IS_LIST = True
+    RETURN_TYPES = ()
+    FUNCTION = "show_int"
+    OUTPUT_NODE = True
+    INPUT_IS_LIST = (True,)
+    CATEGORY = "Bjornulf"
+    
+    def show_int(self, int_value):
+        return {"ui": {"text": int_value}}
@@ -0,0 +1,18 @@
+class ShowText:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "text_value": ("STRING", {"forceInput": True}),
+            },
+        }
+
+    INPUT_IS_LIST = True
+    RETURN_TYPES = ()
+    FUNCTION = "show_text"
+    OUTPUT_NODE = True
+    INPUT_IS_LIST = (True,)
+    CATEGORY = "Bjornulf"
+    
+    def show_text(self, text_value):
+        return {"ui": {"text": text_value}}
@@ -0,0 +1,23 @@
+import torch
+
+class VideoPingPong:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "images": ("IMAGE",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "pingpong_images"
+    CATEGORY = "Bjornulf"
+
+    def pingpong_images(self, images):
+        if isinstance(images, torch.Tensor):
+            reversed_images = torch.flip(images, [0])
+            combined_images = torch.cat((images, reversed_images[1:]), dim=0)
+        else:
+            reversed_images = images[::-1]
+            combined_images = images + reversed_images[1:]
+        return (combined_images,)
@@ -0,0 +1,29 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "Bjornulf.CustomBjornulfType",
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (nodeData.name === "Bjornulf_WriteImageCharacters") {
+            const onNodeCreated = nodeType.prototype.onNodeCreated;
+            nodeType.prototype.onNodeCreated = function () {
+                onNodeCreated?.apply(this, arguments);
+                const myInput = this.inputs.find(input => input.name === "BJORNULF_CHARACTER");
+                if (myInput) {
+                    myInput.type = "BJORNULF_CHARACTER";
+                }
+            };
+        }
+        else if (nodeData.name === "Bjornulf_WriteImageCharacter") {
+            
+        }
+    },
+    async setup(app) {
+        app.registerCustomNodeType("BJORNULF_CHARACTER", (value) => {
+            return {
+                type: "BJORNULF_CHARACTER",
+                data: { value: value || "" },
+                name: "BJORNULF_CHARACTER"
+            };
+        });
+    }
+});
@@ -0,0 +1,52 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "Bjornulf.CustomStringType",
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (nodeData.name === "Bjornulf_WriteImageAllInOne") {
+            const onNodeCreated = nodeType.prototype.onNodeCreated;
+            nodeType.prototype.onNodeCreated = function () {
+                onNodeCreated?.apply(this, arguments);
+                const locationInput = this.inputs.find(input => input.name === "location");
+                if (locationInput) {
+                    locationInput.type = "CUSTOM_STRING";
+                }
+            };
+        }
+    },
+    async setup(app) {
+        app.registerCustomNodeType("CUSTOM_STRING", (value) => {
+            return {
+                type: "CustomStringType",
+                data: { value: value || "" },
+                name: "CustomStringType"
+            };
+        });
+    }
+});
+
+
+        // Override the default onConnectionCreated method
+        const originalOnConnectionCreated = LGraphCanvas.prototype.onConnectionCreated;
+        LGraphCanvas.prototype.onConnectionCreated = function(connection, e, node_for_click) {
+            if (node_for_click && node_for_click.type === "WriteImageAllInOne" && connection.targetInput.name === "location") {
+                // Check if the connected node is not already a CustomString
+                if (connection.origin_node.type !== "CustomString") {
+                    // Create a new CustomString node
+                    const customStringNode = LiteGraph.createNode("CustomString");
+                    // Position the new node
+                    customStringNode.pos = [connection.origin_node.pos[0] + 200, connection.origin_node.pos[1]];
+                    this.graph.add(customStringNode);
+
+                    // Connect the new CustomString node
+                    connection.origin_node.connect(connection.origin_slot, customStringNode, 0);
+                    customStringNode.connect(0, node_for_click, connection.target_slot);
+
+                    // Remove the original connection
+                    connection.origin_node.disconnectOutput(connection.origin_slot, node_for_click);
+                    
+                    return true; // Prevent the original connection
+                }
+            }
+            return originalOnConnectionCreated.apply(this, arguments);
+        };
@@ -0,0 +1,52 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "Bjornulf.CombineTexts",
+    async nodeCreated(node) {
+        if (node.comfyClass === "Bjornulf_CombineTexts") {
+            const updateInputs = () => {
+                const numInputsWidget = node.widgets.find(w => w.name === "number_of_inputs");
+                if (!numInputsWidget) return;
+
+                const numInputs = numInputsWidget.value;
+                
+                // Initialize node.inputs if it doesn't exist
+                if (!node.inputs) {
+                    node.inputs = [];
+                }
+                
+                // Filter existing text inputs
+                const existingInputs = node.inputs.filter(input => input.name.startsWith('text_'));
+                
+                // Determine if we need to add or remove inputs
+                if (existingInputs.length < numInputs) {
+                    // Add new text inputs if not enough existing
+                    for (let i = existingInputs.length + 1; i <= numInputs; i++) {
+                        const inputName = `text_${i}`;
+                        if (!node.inputs.find(input => input.name === inputName)) {
+                            node.addInput(inputName, "STRING");
+                        }
+                    }
+                } else {
+                    // Remove excess text inputs if too many
+                    node.inputs = node.inputs.filter(input => !input.name.startsWith('text_') || parseInt(input.name.split('_')[1]) <= numInputs);
+                }
+                
+                node.setSize(node.computeSize());
+            };
+
+            // Move number_of_inputs to the top initially
+            const numInputsWidget = node.widgets.find(w => w.name === "number_of_inputs");
+            if (numInputsWidget) {
+                node.widgets = [numInputsWidget, ...node.widgets.filter(w => w !== numInputsWidget)];
+                numInputsWidget.callback = () => {
+                    updateInputs();
+                    app.graph.setDirtyCanvas(true);
+                };
+            }
+
+            // Delay the initial update to ensure node is fully initialized
+            setTimeout(updateInputs, 0);
+        }
+    }
+});
@@ -0,0 +1,52 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "Bjornulf.LoopTexts",
+    async nodeCreated(node) {
+        if (node.comfyClass === "Bjornulf_LoopTexts") {
+            const updateInputs = () => {
+                const numInputsWidget = node.widgets.find(w => w.name === "number_of_inputs");
+                if (!numInputsWidget) return;
+
+                const numInputs = numInputsWidget.value;
+                
+                // Initialize node.inputs if it doesn't exist
+                if (!node.inputs) {
+                    node.inputs = [];
+                }
+                
+                // Filter existing text inputs
+                const existingInputs = node.inputs.filter(input => input.name.startsWith('text_'));
+                
+                // Determine if we need to add or remove inputs
+                if (existingInputs.length < numInputs) {
+                    // Add new text inputs if not enough existing
+                    for (let i = existingInputs.length + 1; i <= numInputs; i++) {
+                        const inputName = `text_${i}`;
+                        if (!node.inputs.find(input => input.name === inputName)) {
+                            node.addInput(inputName, "STRING");
+                        }
+                    }
+                } else {
+                    // Remove excess text inputs if too many
+                    node.inputs = node.inputs.filter(input => !input.name.startsWith('text_') || parseInt(input.name.split('_')[1]) <= numInputs);
+                }
+                
+                node.setSize(node.computeSize());
+            };
+
+            // Move number_of_inputs to the top initially
+            const numInputsWidget = node.widgets.find(w => w.name === "number_of_inputs");
+            if (numInputsWidget) {
+                node.widgets = [numInputsWidget, ...node.widgets.filter(w => w !== numInputsWidget)];
+                numInputsWidget.callback = () => {
+                    updateInputs();
+                    app.graph.setDirtyCanvas(true);
+                };
+            }
+
+            // Delay the initial update to ensure node is fully initialized
+            setTimeout(updateInputs, 0);
+        }
+    }
+});
@@ -0,0 +1,65 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "Bjornulf.RandomModelClipVae",
+    async nodeCreated(node) {
+        if (node.comfyClass === "Bjornulf_RandomModelClipVae") {
+            const updateInputs = () => {
+                const numInputsWidget = node.widgets.find(w => w.name === "number_of_inputs");
+                if (!numInputsWidget) return;
+
+                const numInputs = numInputsWidget.value;
+                
+                // Initialize node.inputs if it doesn't exist
+                if (!node.inputs) {
+                    node.inputs = [];
+                }
+                
+                // Filter existing model, clip, and vae inputs
+                const existingModelInputs = node.inputs.filter(input => input.name.startsWith('model_'));
+                const existingClipInputs = node.inputs.filter(input => input.name.startsWith('clip_'));
+                const existingVaeInputs = node.inputs.filter(input => input.name.startsWith('vae_'));
+                
+                // Determine if we need to add or remove inputs
+                if (existingModelInputs.length < numInputs || existingClipInputs.length < numInputs || existingVaeInputs.length < numInputs) {
+                    // Add new model, clip, and vae inputs if not enough existing
+                    for (let i = Math.max(existingModelInputs.length, existingClipInputs.length, existingVaeInputs.length) + 1; i <= numInputs; i++) {
+                        const modelInputName = `model_${i}`;
+                        const clipInputName = `clip_${i}`;
+                        const vaeInputName = `vae_${i}`;
+                        if (!node.inputs.find(input => input.name === modelInputName)) {
+                            node.addInput(modelInputName, "MODEL");
+                        }
+                        if (!node.inputs.find(input => input.name === clipInputName)) {
+                            node.addInput(clipInputName, "CLIP");
+                        }
+                        if (!node.inputs.find(input => input.name === vaeInputName)) {
+                            node.addInput(vaeInputName, "VAE");
+                        }
+                    }
+                } else {
+                    // Remove excess model, clip, and vae inputs if too many
+                    node.inputs = node.inputs.filter(input => 
+                        (!input.name.startsWith('model_') && !input.name.startsWith('clip_') && !input.name.startsWith('vae_')) || 
+                        (parseInt(input.name.split('_')[1]) <= numInputs)
+                    );
+                }
+                
+                node.setSize(node.computeSize());
+            };
+
+            // Move number_of_inputs to the top initially
+            const numInputsWidget = node.widgets.find(w => w.name === "number_of_inputs");
+            if (numInputsWidget) {
+                node.widgets = [numInputsWidget, ...node.widgets.filter(w => w !== numInputsWidget)];
+                numInputsWidget.callback = () => {
+                    updateInputs();
+                    app.graph.setDirtyCanvas(true);
+                };
+            }
+
+            // Delay the initial update to ensure node is fully initialized
+            setTimeout(updateInputs, 0);
+        }
+    }
+});
@@ -0,0 +1,58 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "Bjornulf.RandomTexts",
+    async nodeCreated(node) {
+        if (node.comfyClass === "Bjornulf_RandomTexts") {
+            const updateInputs = () => {
+                const numInputsWidget = node.widgets.find(w => w.name === "number_of_inputs");
+                if (!numInputsWidget) return;
+
+                const numInputs = numInputsWidget.value;
+
+                // Initialize node.inputs if it doesn't exist
+                if (!node.inputs) {
+                    node.inputs = [];
+                }
+
+                // Filter existing text inputs
+                const existingInputs = node.inputs.filter(input => input.name.startsWith('text_'));
+
+                // Determine if we need to add or remove inputs
+                if (existingInputs.length < numInputs) {
+                    // Add new text inputs if not enough existing
+                    for (let i = existingInputs.length + 1; i <= numInputs; i++) {
+                        const inputName = `text_${i}`;
+                        if (!node.inputs.find(input => input.name === inputName)) {
+                            node.addInput(inputName, "STRING");
+                        }
+                    }
+                } else {
+                    // Remove excess text inputs if too many
+                    node.inputs = node.inputs.filter(input => !input.name.startsWith('text_') || parseInt(input.name.split('_')[1]) <= numInputs);
+                }
+
+                node.setSize(node.computeSize());
+            };
+
+            // Set seed widget to hidden input
+            const seedWidget = node.widgets.find(w => w.name === "seed");
+            if (seedWidget) {
+                seedWidget.type = "HIDDEN";
+            }
+
+            // Move number_of_inputs to the top initially
+            const numInputsWidget = node.widgets.find(w => w.name === "number_of_inputs");
+            if (numInputsWidget) {
+                node.widgets = [numInputsWidget, ...node.widgets.filter(w => w !== numInputsWidget)];
+                numInputsWidget.callback = () => {
+                    updateInputs();
+                    app.graph.setDirtyCanvas(true);
+                };
+            }
+
+            // Delay the initial update to ensure node is fully initialized
+            setTimeout(updateInputs, 0);
+        }
+    }
+});
@@ -0,0 +1,76 @@
+import { app } from "../../../scripts/app.js";
+import { ComfyWidgets } from "../../../scripts/widgets.js";
+
+// Styles for the text area
+const textAreaStyles = {
+    readOnly: true,
+    opacity: 1,
+    padding: '10px',
+    border: '1px solid #ccc',
+    borderRadius: '5px',
+    backgroundColor: '#222',
+    color: 'Lime',
+    fontFamily: 'Arial, sans-serif',
+    fontSize: '14px',
+    lineHeight: '1.4',
+    resize: 'vertical',
+    overflowY: 'auto',
+};
+
+// Displays input text on a node
+app.registerExtension({
+    name: "Bjornulf.ShowFloat",
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (nodeData.name === "Bjornulf_ShowFloat") {
+            function createStyledTextArea(text) {
+                const widget = ComfyWidgets["STRING"](this, "text", ["STRING", { multiline: true }], app).widget;
+                widget.inputEl.readOnly = true;
+                const textArea = widget.inputEl;
+
+                Object.assign(textArea.style, textAreaStyles);
+                textArea.classList.add('bjornulf-show-text');
+                widget.value = text;
+                return widget;
+            }
+
+            function populate(text) {
+                if (this.widgets) {
+                    for (let i = 1; i < this.widgets.length; i++) {
+                        this.widgets[i].onRemove?.();
+                    }
+                    this.widgets.length = 1;
+                }
+
+                const v = Array.isArray(text) ? text : [text];
+                for (const list of v) {
+                    if (list) {
+                        createStyledTextArea.call(this, list);
+                    }
+                }
+
+                requestAnimationFrame(() => {
+                    const sz = this.computeSize();
+                    if (sz[0] < this.size[0]) sz[0] = this.size[0];
+                    if (sz[1] < this.size[1]) sz[1] = this.size[1];
+                    this.onResize?.(sz);
+                    app.graph.setDirtyCanvas(true, false);
+                });
+            }
+
+            // When the node is executed we will be sent the input text, display this in the widget
+            const onExecuted = nodeType.prototype.onExecuted;
+            nodeType.prototype.onExecuted = function (message) {
+                onExecuted?.apply(this, arguments);
+                populate.call(this, message.text);
+            };
+
+            const onConfigure = nodeType.prototype.onConfigure;
+            nodeType.prototype.onConfigure = function () {
+                onConfigure?.apply(this, arguments);
+                if (this.widgets_values?.length) {
+                    populate.call(this, this.widgets_values);
+                }
+            };
+        }
+    },
+});
@@ -0,0 +1,76 @@
+import { app } from "../../../scripts/app.js";
+import { ComfyWidgets } from "../../../scripts/widgets.js";
+
+// Styles for the text area
+const textAreaStyles = {
+    readOnly: true,
+    opacity: 1,
+    padding: '10px',
+    border: '1px solid #ccc',
+    borderRadius: '5px',
+    backgroundColor: '#222',
+    color: 'Lime',
+    fontFamily: 'Arial, sans-serif',
+    fontSize: '14px',
+    lineHeight: '1.4',
+    resize: 'vertical',
+    overflowY: 'auto',
+};
+
+// Displays input text on a node
+app.registerExtension({
+    name: "Bjornulf.ShowInt",
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (nodeData.name === "Bjornulf_ShowInt") {
+            function createStyledTextArea(text) {
+                const widget = ComfyWidgets["STRING"](this, "text", ["STRING", { multiline: true }], app).widget;
+                widget.inputEl.readOnly = true;
+                const textArea = widget.inputEl;
+
+                Object.assign(textArea.style, textAreaStyles);
+                textArea.classList.add('bjornulf-show-text');
+                widget.value = text;
+                return widget;
+            }
+
+            function populate(text) {
+                if (this.widgets) {
+                    for (let i = 1; i < this.widgets.length; i++) {
+                        this.widgets[i].onRemove?.();
+                    }
+                    this.widgets.length = 1;
+                }
+
+                const v = Array.isArray(text) ? text : [text];
+                for (const list of v) {
+                    if (list) {
+                        createStyledTextArea.call(this, list);
+                    }
+                }
+
+                requestAnimationFrame(() => {
+                    const sz = this.computeSize();
+                    if (sz[0] < this.size[0]) sz[0] = this.size[0];
+                    if (sz[1] < this.size[1]) sz[1] = this.size[1];
+                    this.onResize?.(sz);
+                    app.graph.setDirtyCanvas(true, false);
+                });
+            }
+
+            // When the node is executed we will be sent the input text, display this in the widget
+            const onExecuted = nodeType.prototype.onExecuted;
+            nodeType.prototype.onExecuted = function (message) {
+                onExecuted?.apply(this, arguments);
+                populate.call(this, message.text);
+            };
+
+            const onConfigure = nodeType.prototype.onConfigure;
+            nodeType.prototype.onConfigure = function () {
+                onConfigure?.apply(this, arguments);
+                if (this.widgets_values?.length) {
+                    populate.call(this, this.widgets_values);
+                }
+            };
+        }
+    },
+});
@@ -0,0 +1,76 @@
+import { app } from "../../../scripts/app.js";
+import { ComfyWidgets } from "../../../scripts/widgets.js";
+
+// Styles for the text area
+const textAreaStyles = {
+    readOnly: true,
+    opacity: 1,
+    padding: '10px',
+    border: '1px solid #ccc',
+    borderRadius: '5px',
+    backgroundColor: '#222',
+    color: 'Lime',
+    fontFamily: 'Arial, sans-serif',
+    fontSize: '14px',
+    lineHeight: '1.4',
+    resize: 'vertical',
+    overflowY: 'auto',
+};
+
+// Displays input text on a node
+app.registerExtension({
+    name: "Bjornulf.ShowText",
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (nodeData.name === "Bjornulf_ShowText") {
+            function createStyledTextArea(text) {
+                const widget = ComfyWidgets["STRING"](this, "text", ["STRING", { multiline: true }], app).widget;
+                widget.inputEl.readOnly = true;
+                const textArea = widget.inputEl;
+
+                Object.assign(textArea.style, textAreaStyles);
+                textArea.classList.add('bjornulf-show-text');
+                widget.value = text;
+                return widget;
+            }
+
+            function populate(text) {
+                if (this.widgets) {
+                    for (let i = 1; i < this.widgets.length; i++) {
+                        this.widgets[i].onRemove?.();
+                    }
+                    this.widgets.length = 1;
+                }
+
+                const v = Array.isArray(text) ? text : [text];
+                for (const list of v) {
+                    if (list) {
+                        createStyledTextArea.call(this, list);
+                    }
+                }
+
+                requestAnimationFrame(() => {
+                    const sz = this.computeSize();
+                    if (sz[0] < this.size[0]) sz[0] = this.size[0];
+                    if (sz[1] < this.size[1]) sz[1] = this.size[1];
+                    this.onResize?.(sz);
+                    app.graph.setDirtyCanvas(true, false);
+                });
+            }
+
+            // When the node is executed we will be sent the input text, display this in the widget
+            const onExecuted = nodeType.prototype.onExecuted;
+            nodeType.prototype.onExecuted = function (message) {
+                onExecuted?.apply(this, arguments);
+                populate.call(this, message.text);
+            };
+
+            const onConfigure = nodeType.prototype.onConfigure;
+            nodeType.prototype.onConfigure = function () {
+                onConfigure?.apply(this, arguments);
+                if (this.widgets_values?.length) {
+                    populate.call(this, this.widgets_values);
+                }
+            };
+        }
+    },
+});
@@ -0,0 +1,53 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "Bjornulf.WriteImageCharacters",
+    async nodeCreated(node) {
+        if (node.comfyClass === "Bjornulf_WriteImageCharacters") {
+            const updateInputs = () => {
+                const numInputsWidget = node.widgets.find(w => w.name === "number_of_characters");
+                if (!numInputsWidget) return;
+
+                const numInputs = numInputsWidget.value;
+
+                // Initialize node.inputs if it doesn't exist
+                if (!node.inputs) {
+                    node.inputs = [];
+                }
+
+                // Filter existing text inputs
+                const existingInputs = node.inputs.filter(input => input.name.startsWith('character_'));
+
+                // Determine if we need to add or remove inputs
+                if (existingInputs.length < numInputs) {
+                    // Add new text inputs if not enough existing
+                    for (let i = existingInputs.length + 1; i <= numInputs; i++) {
+                        const inputName = `character_${i}`;
+                        if (!node.inputs.find(input => input.name === inputName)) {
+                            // node.addInput(inputName, "STRING");
+                            node.addInput(inputName, "BJORNULF_CHARACTER");
+                        }
+                    }
+                } else {
+                    // Remove excess text inputs if too many
+                    node.inputs = node.inputs.filter(input => !input.name.startsWith('character_') || parseInt(input.name.split('_')[1]) <= numInputs);
+                }
+
+                node.setSize(node.computeSize());
+            };
+
+            // Move number_of_inputs to the top initially
+            const numInputsWidget = node.widgets.find(w => w.name === "number_of_characters");
+            if (numInputsWidget) {
+                node.widgets = [numInputsWidget, ...node.widgets.filter(w => w !== numInputsWidget)];
+                numInputsWidget.callback = () => {
+                    updateInputs();
+                    app.graph.setDirtyCanvas(true);
+                };
+            }
+
+            // Delay the initial update to ensure node is fully initialized
+            setTimeout(updateInputs, 0);
+        }
+    }
+});
@@ -0,0 +1,84 @@
+class WriteImageAllInOne:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "art_style": (["none", "drawing", "digital art", "photography"],),
+                "location": ("STRING", {"forceInput": "True"}),
+                "lighting": ("STRING", {"multiline": True}),
+                "camera_angle": ("STRING", {"multiline": True}),
+            },
+            "optional": {
+                "other": ("STRING", {"multiline": True},),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("text",)
+    FUNCTION = "write_image_allinone"
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def write_image_allinone(self, art_style, location, lighting, camera_angle, other=""):
+        text = f"Art Style: {art_style}\n\n"
+        text += f"Location:\n{location}\n\n"
+        text += f"Lighting:\n{lighting}\n\n"
+        text += f"Camera Angle:\n{camera_angle}\n\n"
+        if other:
+            text += f"Other:\n{other}\n\n"
+        return (text,)
+
+    @classmethod
+    def CREATE_CONNECTED_NODES(cls):
+        return [
+            {
+                "class_type": "PrimitiveNode",
+                "inputs": {
+                    "value": "drawing",
+                    "label": "Art Style",
+                    "type": "combo",
+                    "options": ["drawing", "digital art", "photography"]
+                },
+                "output": ["art_style"]
+            },
+            {
+                "class_type": "PrimitiveNode",
+                "inputs": {
+                    "value": "",
+                    "label": "Location",
+                    "type": "text",
+                    "multiline": True
+                },
+                "output": ["location"]
+            },
+            {
+                "class_type": "PrimitiveNode",
+                "inputs": {
+                    "value": "",
+                    "label": "Lighting",
+                    "type": "text",
+                    "multiline": True
+                },
+                "output": ["lighting"]
+                },
+            {
+                "class_type": "PrimitiveNode",
+                "inputs": {
+                    "value": "",
+                    "label": "Camera Angle",
+                    "type": "text",
+                    "multiline": True
+                },
+                "output": ["camera_angle"]
+            },
+            {
+                "class_type": "PrimitiveNode",
+                "inputs": {
+                    "value": "",
+                    "label": "Other",
+                    "type": "text",
+                    "multiline": True
+                },
+                "output": ["other"]
+            }
+        ]
@@ -0,0 +1,22 @@
+class WriteImageCharacter:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "description": ("STRING", {"multiline": True}),
+                "action": ("STRING", {"multiline": False}),
+                "emotion": ("STRING", {"multiline": False}),
+                "clothes": ("STRING", {"multiline": False}),
+            },
+        }
+
+    # RETURN_TYPES = ("STRING",)
+    RETURN_TYPES = ("BJORNULF_CHARACTER",)
+    RETURN_NAMES = ("character_details",)
+    FUNCTION = "write_image_character"
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def write_image_character(self, description, action, emotion, clothes):
+        text = f"{description}, {action}, {emotion}, {clothes}"
+        return (text,)
@@ -0,0 +1,32 @@
+class WriteImageCharacters:
+    @classmethod
+    def INPUT_TYPES(cls):
+        hidden_inputs = {}
+        for i in range(2, 6):  # Notice the range starts at 2 and ends at 6 to include 5
+            hidden_inputs.update({
+                f"character_{i}": ("BJORNULF_CHARACTER", {"forceInput": True}),
+                # f"character_{i}": ("STRING", {"forceInput": True}),
+            })
+        return {
+            "required": {
+                "number_of_characters": ("INT", {"default": 1, "min": 1, "max": 5, "step": 1}),
+                "character_1": ("BJORNULF_CHARACTER", {"forceInput": True}),
+                # "character_1": ("STRING", {"forceInput": True}),
+            },
+            "optional": {
+                "other": ("STRING", {"multiline": True, "forceInput": True}),
+            },
+            "hidden": hidden_inputs
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("text",)
+    FUNCTION = "write_image_characters"
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def write_image_characters(self, number_of_characters, other="", **kwargs):
+        text = f"Other: {other}\n"
+        for i in range(1, number_of_characters + 1):
+            text += f"{kwargs.get(f'character_{i}', '')}\n"
+        return (text,)
@@ -0,0 +1,27 @@
+class WriteImageEnvironment:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "art_style": (["drawing", "digital art", "photography"],),
+                "location": ("STRING", {"multiline": True}),
+                "lighting": ("STRING", {"multiline": True}),
+                "camera_angle": ("STRING", {"multiline": True}),
+            },
+            "optional": {
+                "other": ("STRING", {"multiline": True, "forceInput": True},),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("text",)
+    FUNCTION = "write_image_environment"
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def write_image_environment(self, art_style, location, lighting, camera_angle, **kwargs):
+        text = f"Art Style: {art_style}\n\n"
+        text += f"Location:\n{location}\n\n"
+        text += f"Lighting:\n{lighting}\n\n"
+        text += f"Camera Angle:\n{camera_angle}\n\n"
+        return (text,)
@@ -0,0 +1,19 @@
+class WriteText:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "text": ("STRING", {"multiline": True}),
+            }
+        }
+
+    # INPUT_IS_LIST = True
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("text",)
+    FUNCTION = "write_text"
+    OUTPUT_NODE = True
+    OUTPUT_IS_LIST = (False,)
+    CATEGORY = "Bjornulf"
+    
+    def write_text(self, text):
+        return {"ui": {"text": text}, "result": (text,)}