0.65

README.md

@@ -1,6 +1,6 @@
-# 🔗 Comfyui : Bjornulf_custom_nodes v0.64 🔗
+# 🔗 Comfyui : Bjornulf_custom_nodes v0.65 🔗
 
-A list of 110 custom nodes for Comfyui : Display, manipulate, create and edit text, images, videos, loras, generate characters and more.  
+A list of 116 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
@@ -36,6 +36,12 @@ Support me and my work : ❤️❤️❤️ <https://ko-fi.com/bjornulf> ❤️
 `67.` [📝➜✨ Text to Anything](#67----text-to-anything)  
 `68.` [✨➜📝 Anything to Text](#68----anything-to-text)  
 `75.` [📝➜📝 Replace text](#75----replace-text)  
+`15.` [💾 Save Text](#15----save-text)  
+`111.` [✨➜🔢 Anything to Int](#)  
+`112.` [✨➜🔢 Anything to Float](#)  
+`113.` [📝🔪 Text split in 5](#)  
+`115.` [📥 Load Text From Bjornulf Folder](#)  
+`116.` [📥 Load Text From Path](#)  
 
 ## 🔥 Text Generator 🔥
 `81.` [🔥📝 Text Generator 📝🔥](#81----text-generator-)  
@@ -131,6 +137,7 @@ Support me and my work : ❤️❤️❤️ <https://ko-fi.com/bjornulf> ❤️
 ## 🚀 Load loras 🚀
 `54.` [♻ Loop Lora Selector](#54----loop-lora-selector)  
 `55.` [🎲 Random Lora@ Selector](#55----random-lora-selector)  
+`114.` [📥👑 Load Lora with Path]()  
 
 ## ☁ Image Creation : API / cloud / remote ☁
 `106.` [☁🎨 API Image Generator (FalAI) ☁](#10)  
@@ -345,6 +352,7 @@ cd /where/you/installed/ComfyUI && python main.py
 - **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
 - **0.63**: delete long file, useless
 - **0.64**: remove "import wget", added some keywords to text generators.
+- **0.65**: ❗Breaking changes : Combine Text inputs are now all optional (PLease remake your nodes, sorry.) Add 6 new nodes : any2int, any2float, load text from folder, load text from path, load lora from path. Also upgraded the Save text node.
 
 # 📝 Nodes descriptions
 
@@ -491,6 +499,7 @@ Resize an image to exact dimensions. The other node will save the image to the e
 **Description:**  
 Save the given text input to a file. Useful for logging and storing text data.  
 If the file already exist, it will add the text at the end of the file.  
+I recommend you to keep saving them in "Bjornulf/Text" (Which is in the Comfyui folder, next to output), this is where the node 116 `Load text from folder` is looking for text files.  
 
 ![Save Text](screenshots/save_text.png)
 
@@ -1575,3 +1584,60 @@ Generate an image with the Black Forest Labs API. (flux)
 Generate an image with the Stability API. (sd3)  
 
 ![api stability](screenshots/api_stability.png)  
+
+#### 111 - ✨➜🔢 Anything to Int
+
+**Description:**   
+
+Just convert anything to a valid INT. (integer)  
+
+![Anything to Int](screenshots/anything_to_int.png)  
+
+#### 112 - ✨➜🔢 Anything to Float
+
+**Description:**  
+
+Just convert anything to a valid FLOAT. (floating number)  
+
+![Anything to Float](screenshots/anything_to_float.png)  
+
+#### 113 - 📝🔪 Text split in 5
+
+**Description:**  
+
+Take a single input and split it in 5 with a delimiter (newline by default).  
+It can also ignore everything on the left side of a `=` symbol if you want to use a "variable type format".  
+
+![Text split in 5](screenshots/split_in_5.png)  
+
+#### 114 - 📥👑 Load Lora with Path
+
+**Description:**  
+
+Load a lora by using it's path.  
+
+![load lora with path](screenshots/load_lora_with_path.png)  
+
+Here is a complex practical example using node 113, 114, 112 :  
+![load lora with path](screenshots/load_lora_with_path_COMPLEX.png)  
+
+#### 115 - 📥 Load Text From Bjornulf Folder
+
+**Description:**  
+
+Just select a file from the folder `Bjornulf/Text` folder, it will recover its content.  
+It is made to be used with node 15 `Save Text`.  
+
+![Load Text](screenshots/load_text_from_Bjornulf.png)  
+
+#### 116 - 📥 Load Text From Path 
+
+**Description:**  
+
+Just give the path of the file, it will recover its content.  
+
+![Load Text](screenshots/load_text_requirements.png)  
+
+If you want, with `Load Text From Path` you can also recover the elements in "Bjornulf/Text" by just adding it:  
+
+![Load Text](screenshots/load_text_PATH.png)  

__init__.py

@@ -78,6 +78,8 @@ from .ollama_system_job import OllamaSystemJobSelector
 from .speech_to_text import SpeechToText
 from .text_to_anything import TextToAnything
 from .anything_to_text import AnythingToText
+from .anything_to_int import AnythingToInt
+from .anything_to_float import AnythingToFloat
 from .add_line_numbers import AddLineNumbers
 from .ffmpeg_convert import ConvertVideo
 # from .hiresfix import HiResFix
@@ -88,9 +90,16 @@ 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
+from .loader_lora_with_path import LoaderLoraWithPath
+from .load_text import LoadTextFromFolder, LoadTextFromPath
+from .string_splitter import TextSplitin5
 
 NODE_CLASS_MAPPINGS = {
     "Bjornulf_LatentResolutionSelector": LatentResolutionSelector,
+    "Bjornulf_LoaderLoraWithPath": LoaderLoraWithPath,
+    "Bjornulf_LoadTextFromPath": LoadTextFromPath,
+    "Bjornulf_LoadTextFromFolder": LoadTextFromFolder,
+    "Bjornulf_TextSplitin5": TextSplitin5,
     "Bjornulf_APIGenerateFlux": APIGenerateFlux,
     "Bjornulf_APIGenerateFalAI": APIGenerateFalAI,
     "Bjornulf_APIGenerateStability": APIGenerateStability,
@@ -134,6 +143,8 @@ NODE_CLASS_MAPPINGS = {
     "Bjornulf_AddLineNumbers": AddLineNumbers,
     "Bjornulf_TextToAnything": TextToAnything,
     "Bjornulf_AnythingToText": AnythingToText,
+    "Bjornulf_AnythingToInt": AnythingToInt,
+    "Bjornulf_AnythingToFloat": AnythingToFloat,
     "Bjornulf_SpeechToText": SpeechToText,
     "Bjornulf_OllamaConfig": OllamaConfig,
     "Bjornulf_OllamaSystemPersonaSelector": OllamaSystemPersonaSelector,
@@ -211,6 +222,8 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     # "Bjornulf_ImageBlend": "🎨 Image Blend",
     # "Bjornulf_APIHiResCivitAI": "🎨➜🎨 API Image hires fix (CivitAI)",
     # "Bjornulf_CivitAILoraSelector": "lora Civit",
+    "Bjornulf_LoaderLoraWithPath": "📥👑 Load Lora with Path",
+    "Bjornulf_TextSplitin5": "📝🔪 Text split in 5",
     "Bjornulf_LatentResolutionSelector": "🩷 Empty Latent Selector",
     "Bjornulf_CivitAIModelSelectorSD15": "📥 Load checkpoint SD1.5 (+Download from CivitAi)",
     "Bjornulf_CivitAIModelSelectorSDXL": "📥 Load checkpoint SDXL (+Download from CivitAi)",
@@ -255,6 +268,8 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "Bjornulf_TextToSpeech": "📝➜🔊 TTS - Text to Speech",
     "Bjornulf_TextToAnything": "📝➜✨ Text to Anything",
     "Bjornulf_AnythingToText": "✨➜📝 Anything to Text",
+    "Bjornulf_AnythingToInt": "✨➜🔢 Anything to Int",
+    "Bjornulf_AnythingToFloat": "✨➜🔢 Anything to Float",
     "Bjornulf_TextReplace": "📝➜📝 Replace text",
     "Bjornulf_AddLineNumbers": "🔢 Add line numbers",
     "Bjornulf_FFmpegConfig": "⚙📹 FFmpeg Configuration 📹⚙",
@@ -311,7 +326,8 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "Bjornulf_SaveImageToFolder": "💾🖼📁 Save Image(s) to a folder",
     "Bjornulf_SaveTmpImage": "💾🖼 Save Image (tmp_api.png) ⚠️💣",
     "Bjornulf_SaveText": "💾 Save Text",
-    # "Bjornulf_LoadText": "📥 Load Text",
+    "Bjornulf_LoadTextFromPath": "📥 Load Text From Path",
+    "Bjornulf_LoadTextFromFolder": "📥 Load Text From Bjornulf Folder",
     "Bjornulf_CombineTexts": "🔗 Combine (Texts)",
     "Bjornulf_imagesToVideo": "📹 images to video (FFmpeg)",
     "Bjornulf_VideoPingPong": "📹 video PingPong",

anything_to_float.py

@@ -0,0 +1,28 @@
+class Everything(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+class AnythingToFloat:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "anything": (Everything("*"), {"forceInput": True}),
+            },
+        }
+    
+    @classmethod
+    def VALIDATE_INPUTS(s, input_types):
+        return True
+    
+    RETURN_TYPES = ("FLOAT",)
+    RETURN_NAMES = ("float",)
+    FUNCTION = "any_to_float"
+    CATEGORY = "Bjornulf"
+    
+    def any_to_float(self, anything):
+        try:
+            return (float(anything),)
+        except (ValueError, TypeError):
+            # Return 0.0 if conversion fails
+            return (0.0,)

anything_to_int.py

@@ -0,0 +1,32 @@
+class Everything(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+class AnythingToInt:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "anything": (Everything("*"), {"forceInput": True}),
+            },
+        }
+    
+    @classmethod
+    def VALIDATE_INPUTS(s, input_types):
+        return True
+    
+    RETURN_TYPES = ("INT",)
+    RETURN_NAMES = ("integer",)
+    FUNCTION = "any_to_int"
+    CATEGORY = "Bjornulf"
+    
+    def any_to_int(self, anything):
+        try:
+            # Handle string inputs that might be floats
+            if isinstance(anything, str) and '.' in anything:
+                return (int(float(anything)),)
+            # Handle other types
+            return (int(anything),)
+        except (ValueError, TypeError):
+            # Return 0 if conversion fails
+            return (0,)

anything_to_text.py

@@ -1,3 +1,6 @@
+class Everything(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
 class AnythingToText:
     @classmethod
     def INPUT_TYPES(s):
@@ -19,8 +22,3 @@ class AnythingToText:
     def any_to_text(self, anything):
         # Convert the input to string representation
         return (str(anything),)
-
-# Keep the Everything class definition as it's needed for type handling
-class Everything(str):
-    def __ne__(self, __value: object) -> bool:
-        return False

combine_texts.py

@@ -5,11 +5,9 @@ class CombineTexts:
             "required": {
                 "number_of_inputs": ("INT", {"default": 2, "min": 2, "max": 50, "step": 1}),
                 "delimiter": (["newline", "comma", "space", "slash", "nothing"], {"default": "newline"}),
-                "text_1": ("STRING", {"forceInput": True}),
-                "text_2": ("STRING", {"forceInput": True}),
             },
             "hidden": {
-                **{f"text_{i}": ("STRING", {"forceInput": True}) for i in range(3, 51)}
+                **{f"text_{i}": ("STRING", {"forceInput": True}) for i in range(1, 51)}
             }
         }
 

load_text.py

@@ -0,0 +1,92 @@
+import os
+
+class LoadTextFromFolder:
+    @classmethod
+    def INPUT_TYPES(cls):
+        """Define input parameters for the node"""
+        default_dir = "Bjornulf/Text"
+        available_files = []
+        
+        if os.path.exists(default_dir):
+            available_files = [f for f in os.listdir(default_dir) 
+                             if f.lower().endswith('.txt')]
+            
+        if not available_files:
+            available_files = ["no_files_found"]
+        
+        return {
+            "required": {
+                "text_file": (available_files, {"default": available_files[0]}),
+            }
+        }
+
+    RETURN_TYPES = ("STRING", "STRING", "STRING")
+    RETURN_NAMES = ("text", "filename", "full_path")
+    FUNCTION = "load_text"
+    CATEGORY = "Bjornulf"
+
+    def load_text(self, text_file):
+        try:
+            if text_file == "no_files_found":
+                raise ValueError("No text files found in Bjornulf/Text folder")
+                
+            filepath = os.path.join("Bjornulf/Text", text_file)
+                
+            # Check if file exists
+            if not os.path.exists(filepath):
+                raise ValueError(f"File not found: {filepath}")
+                
+            # Get absolute path
+            full_path = os.path.abspath(filepath)
+            
+            # Get just the filename
+            filename = os.path.basename(filepath)
+            
+            # Read text from file
+            with open(filepath, 'r', encoding='utf-8') as file:
+                text = file.read()
+                
+            return (text, filename, full_path)
+            
+        except (OSError, IOError) as e:
+            raise ValueError(f"Error loading file: {str(e)}")
+
+class LoadTextFromPath:
+    @classmethod
+    def INPUT_TYPES(cls):
+        """Define input parameters for the node"""
+        return {
+            "required": {
+                "file_path": ("STRING", {"default": "Bjornulf/Text/example.txt"}),
+            }
+        }
+
+    RETURN_TYPES = ("STRING", "STRING", "STRING")
+    RETURN_NAMES = ("text", "filename", "full_path")
+    FUNCTION = "load_text"
+    CATEGORY = "Bjornulf"
+
+    def load_text(self, file_path):
+        try:
+            # Validate file extension
+            if not file_path.lower().endswith('.txt'):
+                raise ValueError("File must be a .txt file")
+                
+            # Check if file exists
+            if not os.path.exists(file_path):
+                raise ValueError(f"File not found: {file_path}")
+                
+            # Get absolute path
+            full_path = os.path.abspath(file_path)
+            
+            # Get just the filename
+            filename = os.path.basename(file_path)
+            
+            # Read text from file
+            with open(file_path, 'r', encoding='utf-8') as file:
+                text = file.read()
+                
+            return (text, filename, full_path)
+            
+        except (OSError, IOError) as e:
+            raise ValueError(f"Error loading file: {str(e)}")

loader_lora_with_path.py

@@ -0,0 +1,49 @@
+import os
+import comfy.sd
+import comfy.utils
+
+class LoaderLoraWithPath:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "model": ("MODEL",),
+                "clip": ("CLIP",),
+                "lora_path": ("STRING", {"default": ""}),
+                "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01}),
+                "strength_clip": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01}),
+            }
+        }
+    
+    RETURN_TYPES = ("MODEL", "CLIP")
+    FUNCTION = "load_lora"  # Added this line
+    CATEGORY = "Bjornulf"
+
+    def load_lora(self, model, clip, lora_path, strength_model, strength_clip):
+        try:
+            # Check if path exists
+            if not os.path.isfile(lora_path):
+                print(f"Error: Lora file not found at path: {lora_path}")
+                return (model, clip)
+
+            # Load the Lora file
+            try:
+                lora = comfy.utils.load_torch_file(lora_path)
+            except Exception as e:
+                print(f"Error loading Lora file: {str(e)}")
+                return (model, clip)
+
+            # Apply the Lora
+            model_lora, clip_lora = comfy.sd.load_lora_for_models(
+                model, 
+                clip, 
+                lora, 
+                strength_model, 
+                strength_clip
+            )
+            
+            return (model_lora, clip_lora)
+            
+        except Exception as e:
+            print(f"Error in load_lora: {str(e)}")
+            return (model, clip)

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "bjornulf_custom_nodes"
-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 = "0.64"
+description = "116 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 = "0.65"
 license = {file = "LICENSE"}
 
 [project.urls]

save_text.py

@@ -6,12 +6,12 @@ class SaveText:
         return {
             "required": {
                 "text": ("STRING", {"multiline": True, "forceInput": True}),
-                "filepath": ("STRING", {"default": "output/this_test.txt"}),
+                "filepath": ("STRING", {"default": "Bjornulf/Text/example.txt"}),
             }
         }
 
-    RETURN_TYPES = ("STRING",)
-    RETURN_NAMES = ("text",)
+    RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING")
+    RETURN_NAMES = ("added_text", "complete_text", "filename", "full_path")
     FUNCTION = "save_text"
     OUTPUT_NODE = True
     CATEGORY = "Bjornulf"
@@ -27,11 +27,30 @@ class SaveText:
             if directory and not os.path.exists(directory):
                 os.makedirs(directory)
             
+            # Get absolute path
+            full_path = os.path.abspath(filepath)
+            
             # Append text to file with a newline
             with open(filepath, 'a', encoding='utf-8') as file:
                 file.write(text + '\n')
             
-            return {"ui": {"text": text}, "result": (text,)}
+            # Read complete file content
+            with open(filepath, 'r', encoding='utf-8') as file:
+                complete_text = file.read()
+            
+            # Get just the filename
+            filename = os.path.basename(filepath)
+            
+            # Return all requested information
+            return {
+                "ui": {"text": text},
+                "result": (
+                    text,           # added_text
+                    complete_text,  # complete_text
+                    filename,       # filename
+                    full_path       # full_path
+                )
+            }
             
         except (OSError, IOError) as e:
             raise ValueError(f"Error saving file: {str(e)}")

string_splitter.py

@@ -0,0 +1,49 @@
+class TextSplitin5:
+    DELIMITER_NEWLINE = "\\n"  # Literal string "\n" for display
+    
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input_string": ("STRING", {
+                    "multiline": True,
+                    "forceInput": True
+                }),
+                "delimiter": ("STRING", {
+                    "default": s.DELIMITER_NEWLINE,  # Show "\n" in widget
+                    "multiline": False
+                }),
+                "ignore_before_equals": ("BOOLEAN", {
+                    "default": False
+                }),
+            },
+        }
+    
+    RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING")
+    RETURN_NAMES = ("part1", "part2", "part3", "part4", "part5")
+    FUNCTION = "split_string"
+    CATEGORY = "Bjornulf"
+    
+    def split_string(self, input_string, delimiter, ignore_before_equals):
+        # Handle the special case for newline delimiter
+        actual_delimiter = "\n" if delimiter == self.DELIMITER_NEWLINE else delimiter
+        
+        # Split the string using the delimiter
+        parts = input_string.split(actual_delimiter)
+        
+        # Ensure we always return exactly 5 parts
+        result = []
+        for i in range(5):
+            if i < len(parts):
+                part = parts[i].strip()
+                # If ignore_before_equals is True and there's an equals sign
+                if ignore_before_equals and '=' in part:
+                    # Take only what's after the equals sign and strip whitespace
+                    part = part.split('=', 1)[1].strip()
+                result.append(part)
+            else:
+                # If no more parts, append empty string
+                result.append("")
+        
+        # Convert to tuple and return all 5 parts
+        return tuple(result)