0.61

README.md

@@ -1,6 +1,6 @@
-# 🔗 Comfyui : Bjornulf_custom_nodes v0.60 🔗
+# 🔗 Comfyui : Bjornulf_custom_nodes v0.61 🔗
 
-A list of 68 custom nodes for Comfyui : Display, manipulate, and edit text, images, videos, loras and more.  
+A list of 79 custom nodes for Comfyui : Display, manipulate, and edit text, images, videos, loras 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
@@ -19,6 +19,10 @@ You can manage looping operations, generate randomized content, trigger logical
 `1.` [👁 Show (Text, Int, Float)](#1----show-text-int-float)  
 `49.` [📹👁 Video Preview](#49----video-preview)  
 `68.` [🔢 Add line numbers](#68----add-line-numbers)  
+`71.` [👁 Show (Int)](#)  
+`72.` [👁 Show (Float)](#)  
+`73.` [👁 Show (String/Text)](#)  
+`74.` [👁 Show (JSON)](#)  
 
 ## ✒ Text ✒
 `2.` [✒ Write Text](#2----write-text)  
@@ -29,7 +33,9 @@ You can manage looping operations, generate randomized content, trigger logical
 `28.` [🔢🎲 Text with random Seed](#28----text-with-random-seed)  
 `32.` [🧑📝 Character Description Generator](#32----character-description-generator)  
 `48.` [🔀🎲 Text scrambler (🧑 Character)](#48----text-scrambler--character)  
-`67.` [📝➜✨ Text to Anything](67----text-to-anything)  
+`67.` [📝➜✨ Text to Anything](#)  
+`68.` [✨➜📝 Anything to Text](#)  
+`75.` [📝➜📝 Replace text](#)  
 
 ## ♻ Loop ♻
 `6.` [♻ Loop](#6----loop)  
@@ -87,6 +93,7 @@ You can manage looping operations, generate randomized content, trigger logical
 `60.` [🖼🖼 Merge Images/Videos 📹📹 (Horizontally)](#60----merge-imagesvideos--horizontally)  
 `61.` [🖼🖼 Merge Images/Videos 📹📹 (Vertically)](#61----merge-imagesvideos--vertically)  
 `62.` [🦙👁 Ollama Vision](#62----ollama-vision)  
+`69.` [📏 Resize Image Percentage](#69)  
 
 ## 🚀 Load checkpoints 🚀
 `40.` [🎲 Random (Model+Clip+Vae) - aka Checkpoint / Model](#40----random-modelclipvae---aka-checkpoint--model)  
@@ -109,6 +116,10 @@ You can manage looping operations, generate randomized content, trigger logical
 `59.` [📹🔊 Combine Video + Audio](#59----combine-video--audio)  
 `60.` [🖼🖼 Merge Images/Videos 📹📹 (Horizontally)](#60----merge-imagesvideos--horizontally)  
 `61.` [🖼🖼 Merge Images/Videos 📹📹 (Vertically)](#61----merge-imagesvideos--vertically)  
+`76.` [⚙📹 FFmpeg Configuration 📹⚙](#76)  
+`77.` [📹🔍 Video details ⚙](#77)  
+`78.` [📹➜📹 Convert Video](#78)  
+`79.` [📹🔗 Concat Videos from list](#79)  
 
 ## 🤖 AI 🤖
 `19.` [🦙💬 Ollama Talk](#19----ollama-talk)  
@@ -286,6 +297,7 @@ cd /where/you/installed/ComfyUI && python main.py
 - **0.58**: small fix in model selector default value. (Set to None by default)
 - **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.
 
 # 📝 Nodes descriptions
 
@@ -1034,6 +1046,7 @@ If you want to be able to predict the next line, you can use node 68, to Add lin
 
 **Description:**  
 Take two videos and concatenate them. (One after the other in the same video.)  
+Convert a video, can use FFMPEG_CONFIG_JSON. (From node 76 / 77)    
 
 ![concat video](screenshots/concat_video.png)  
 
@@ -1120,7 +1133,14 @@ Below is an example of that with my TTS node.
 
 ![text to anything](screenshots/text_to_anything.png)  
 
-### 68 - 🔢 Add line numbers
+### 68 - ✨➜📝 Anything to Text
+
+**Description:**  
+Sometimes you want to force something to be a STRING.  
+Most outputs are indeed text, even though they might be unusable.  
+This node ignore this fact and simply convert the input to a simple STRING.  
+
+### 69 - 🔢 Add line numbers
 
 **Description:**  
 
@@ -1128,3 +1148,76 @@ This node will just add line numbers to text.
 Useful when you want to use node 57 that will loop over input lines. (You can read/predict the next line.)  
 
 ![add line numbers](screenshots/add_line_numbers.png)  
+
+### 70 - 📏 Resize Image Percentage
+
+**Description:**  
+
+Resize an image by percentage.  
+
+![resize percentage](screenshots/resize_percentage.png)  
+
+### 71 - 👁 Show (Int)
+
+**Description:**  
+Basic node, show an INT. (You can simply drag any INT node and it will be recommended.)
+
+### 72 - 👁 Show (Float)
+
+**Description:**  
+Basic node, show a FLOAT. (You can simply drag any FLOAT node and it will be recommended.)
+
+### 73 - 👁 Show (String/Text)
+
+**Description:**  
+Basic node, show a STRING. (You can simply drag any STRING node and it will be recommended.)
+
+### 74 - 👁 Show (JSON)
+
+**Description:**  
+This node will take a STRING and format it as a readable JSON. (and pink)  
+
+![show json](screenshots/show_json.png)  
+![show json](screenshots/show_json2.png)  
+
+### 75 - 📝➜📝 Replace text
+
+**Description:**  
+Replace text with another text, allow regex and more options, check examples below :  
+
+![text replace](screenshots/text_replace_1.png)  
+![text replace](screenshots/text_replace_2.png)  
+![text replace](screenshots/text_replace_3.png)  
+
+### 76 - ⚙📹 FFmpeg Configuration 📹⚙
+
+**Description:**  
+Create a FFMPEG_CONFIG_JSON, it will contains a JSON that can be used by other nodes :
+- Convert video
+- Concat videos
+- Concat video from list
+
+![text replace](screenshots/ffmpeg_conf.png)  
+
+### 77 - 📹🔍 Video details ⚙
+
+**Description:**  
+Extract details from a video_path.  
+You can use the all-in-one FFMPEG_CONFIG_JSON with other nodes or just use the other variables as your want.  
+
+![video details](screenshots/video_details.png)  
+
+### 78 - 📹➜📹 Convert Video
+
+**Description:**  
+Convert a video, can use FFMPEG_CONFIG_JSON.  
+
+![convert video](screenshots/convert_video.png)  
+
+#### 79 - 📹🔗 Concat Videos from list
+
+**Description:**  
+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)  

__init__.py

@@ -1,10 +1,13 @@
+from .show_stuff import ShowFloat, ShowInt, ShowStringText, ShowJson
 from .images_to_video import imagesToVideo
 from .write_text import WriteText
+from .text_replace import TextReplace
 # 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 .ffmpeg_configuration import FFmpegConfig
 from .loop_texts import LoopTexts
 from .random_texts import RandomTexts
 from .random_model_clip_vae import RandomModelClipVae
@@ -21,6 +24,7 @@ from .save_tmp_image import SaveTmpImage
 from .save_image_path import SaveImagePath
 from .save_img_to_folder import SaveImageToFolder
 from .resize_image import ResizeImage
+from .resize_image_percentage import ResizeImagePercentage
 from .loop_my_combos_samplers_schedulers import LoopCombosSamplersSchedulers
 from .remove_transparency import RemoveTransparency
 from .image_to_grayscale import GrayscaleTransform
@@ -48,6 +52,7 @@ from .select_image_from_list import SelectImageFromList
 from .random_model_selector import RandomModelSelector
 from .if_else import IfElse
 from .image_details import ImageDetails
+from .video_details import VideoDetails
 from .combine_images import CombineImages
 # from .pass_preview_image import PassPreviewImage
 from .text_scramble_character import ScramblerCharacter
@@ -61,6 +66,7 @@ from .loop_lora_selector import LoopLoraSelector
 from .loop_sequential_integer import LoopIntegerSequential
 from .loop_lines_sequential import LoopLinesSequential
 from .concat_videos import ConcatVideos
+from .concat_videos_from_list import ConcatVideosFromList
 from .combine_video_audio import CombineVideoAudio
 from .images_merger_horizontal import MergeImagesHorizontally
 from .images_merger_vertical import MergeImagesVertically
@@ -71,12 +77,22 @@ from .ollama_system_persona import OllamaSystemPersonaSelector
 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 .add_line_numbers import AddLineNumbers
+from .ffmpeg_convert import ConvertVideo
 
 NODE_CLASS_MAPPINGS = {
+    "Bjornulf_ShowInt": ShowInt, 
+    "Bjornulf_TextReplace" : TextReplace,
+    "Bjornulf_ShowFloat": ShowFloat,
+    "Bjornulf_ShowJson": ShowJson,
+    "Bjornulf_ShowStringText": ShowStringText,
     "Bjornulf_ollamaLoader": ollamaLoader,
+    "Bjornulf_FFmpegConfig": FFmpegConfig,
+    "Bjornulf_ConvertVideo": ConvertVideo,
     "Bjornulf_AddLineNumbers": AddLineNumbers,
     "Bjornulf_TextToAnything": TextToAnything,
+    "Bjornulf_AnythingToText": AnythingToText,
     "Bjornulf_SpeechToText": SpeechToText,
     "Bjornulf_OllamaConfig": OllamaConfig,
     "Bjornulf_OllamaSystemPersonaSelector": OllamaSystemPersonaSelector,
@@ -87,6 +103,7 @@ NODE_CLASS_MAPPINGS = {
     "Bjornulf_MergeImagesVertically": MergeImagesVertically,
     "Bjornulf_CombineVideoAudio": CombineVideoAudio,
     "Bjornulf_ConcatVideos": ConcatVideos,
+    "Bjornulf_ConcatVideosFromList": ConcatVideosFromList,
     "Bjornulf_LoopLinesSequential": LoopLinesSequential,
     "Bjornulf_LoopIntegerSequential": LoopIntegerSequential,
     "Bjornulf_LoopLoraSelector": LoopLoraSelector,
@@ -99,6 +116,7 @@ NODE_CLASS_MAPPINGS = {
     "Bjornulf_ScramblerCharacter": ScramblerCharacter,
     "Bjornulf_CombineImages": CombineImages,
     "Bjornulf_ImageDetails": ImageDetails,
+    "Bjornulf_VideoDetails": VideoDetails,
     "Bjornulf_IfElse": IfElse,
     "Bjornulf_RandomModelSelector": RandomModelSelector,
     "Bjornulf_SelectImageFromList": SelectImageFromList,
@@ -129,6 +147,7 @@ NODE_CLASS_MAPPINGS = {
     "Bjornulf_ShowText": ShowText,
     "Bjornulf_SaveText": SaveText,
     "Bjornulf_ResizeImage": ResizeImage,
+    "Bjornulf_ResizeImagePercentage": ResizeImagePercentage,
     "Bjornulf_SaveImageToFolder": SaveImageToFolder,
     "Bjornulf_SaveTmpImage": SaveTmpImage,
     "Bjornulf_SaveImagePath": SaveImagePath,
@@ -147,6 +166,10 @@ NODE_CLASS_MAPPINGS = {
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
+    "Bjornulf_ShowInt": "👁 Show (Int)", 
+    "Bjornulf_ShowFloat": "👁 Show (Float)",
+    "Bjornulf_ShowJson": "👁 Show (JSON)",
+    "Bjornulf_ShowStringText": "👁 Show (String/Text)",
     "Bjornulf_OllamaTalk": "🦙💬 Ollama Talk",
     "Bjornulf_OllamaImageVision": "🦙👁 Ollama Vision",
     "Bjornulf_OllamaConfig": "🦙 Ollama Configuration ⚙",
@@ -155,12 +178,18 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "Bjornulf_SpeechToText": "🔊➜📝 STT - Speech to Text",
     "Bjornulf_TextToSpeech": "📝➜🔊 TTS - Text to Speech",
     "Bjornulf_TextToAnything": "📝➜✨ Text to Anything",
+    "Bjornulf_AnythingToText": "✨➜📝 Anything to Text",
+    "Bjornulf_TextReplace": "📝➜📝 Replace text",
     "Bjornulf_AddLineNumbers": "🔢 Add line numbers",
+    "Bjornulf_FFmpegConfig": "⚙📹 FFmpeg Configuration 📹⚙",
+    "Bjornulf_ConvertVideo": "📹➜📹 Convert Video",
+    "Bjornulf_VideoDetails": "📹🔍 Video details ⚙",
     "Bjornulf_WriteText": "✒ Write Text",
     "Bjornulf_MergeImagesHorizontally": "🖼🖼 Merge Images/Videos 📹📹 (Horizontally)",
     "Bjornulf_MergeImagesVertically": "🖼🖼 Merge Images/Videos 📹📹 (Vertically)",
     "Bjornulf_CombineVideoAudio": "📹🔊 Combine Video + Audio",
     "Bjornulf_ConcatVideos": "📹🔗 Concat Videos",
+    "Bjornulf_ConcatVideosFromList": "📹🔗 Concat Videos from list",
     "Bjornulf_LoopLinesSequential": "♻📝 Loop Sequential (input Lines)",
     "Bjornulf_LoopIntegerSequential": "♻📝 Loop Sequential (Integer)",
     "Bjornulf_LoopLoraSelector": "♻ Loop Lora Selector",
@@ -201,6 +230,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "Bjornulf_GrayscaleTransform": "🖼➜🔲 Image to grayscale (black & white)",
     "Bjornulf_RemoveTransparency": "▢➜⬛ Remove image Transparency (alpha)",
     "Bjornulf_ResizeImage": "📏 Resize Image",
+    "Bjornulf_ResizeImagePercentage": "📏 Resize Image Percentage",
     "Bjornulf_SaveImagePath": "💾🖼 Save Image (exact path, exact name) ⚠️💣",
     "Bjornulf_SaveImageToFolder": "💾🖼📁 Save Image(s) to a folder",
     "Bjornulf_SaveTmpImage": "💾🖼 Save Image (tmp_api.png) ⚠️💣",

anything_to_text.py

@@ -0,0 +1,26 @@
+class AnythingToText:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": { 
+                "anything": (Everything("*"), {"forceInput": True})
+            },
+        }
+    
+    @classmethod
+    def VALIDATE_INPUTS(s, input_types):
+        return True
+    
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("text",)
+    FUNCTION = "any_to_text"
+    CATEGORY = "Bjornulf"
+    
+    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

concat_videos.py

@@ -1,85 +1,182 @@
 import subprocess
 from pathlib import Path
 import os
+import json
 
 class ConcatVideos:
     @classmethod
     def INPUT_TYPES(cls):
         return {
             "required": {
-                "video_path_1": ("STRING", {"default": ""}),
-                "video_path_2": ("STRING", {"default": ""}),
-                "output_filename": ("STRING", {"default": "concatenated.mp4"})
+                "number_of_videos": ("INT", {"default": 2, "min": 2, "max": 50, "step": 1}),
+                "output_filename": ("STRING", {"default": "concatenated.mp4"}),
+                "use_python_ffmpeg": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "FFMPEG_CONFIG_JSON": ("STRING", {"forceInput": True}),
+            },
+            "hidden": {
+                **{f"video_path_{i}": ("STRING", {"forceInput": True}) for i in range(1, 51)}
             }
         }
 
-    RETURN_TYPES = ("STRING",)
-    RETURN_NAMES = ("concat_path",)
+    RETURN_TYPES = ("STRING", "STRING",)
+    RETURN_NAMES = ("concat_path", "ffmpeg_command",)
     FUNCTION = "concat_videos"
     OUTPUT_NODE = True
     CATEGORY = "Bjornulf"
 
     def __init__(self):
-        # Get absolute paths for working directories
         self.work_dir = Path(os.path.abspath("temp_concat"))
         self.output_dir = Path(os.path.abspath("Bjornulf/concat_videos"))
         os.makedirs(self.work_dir, exist_ok=True)
         os.makedirs(self.output_dir, exist_ok=True)
 
-    def concat_videos(self, video_path_1: str, video_path_2: str, output_filename: str):
+    def concat_videos(self, number_of_videos: int, output_filename: str, 
+                     use_python_ffmpeg: bool = False, 
+                     FFMPEG_CONFIG_JSON: str = None, **kwargs):
         """
-        Concatenate two videos using ffmpeg with high-quality settings.
-        Returns the absolute path of the output file.
+        Concatenate multiple videos using ffmpeg.
+        Supports both subprocess and python-ffmpeg methods.
         """
-        # Convert to absolute paths
-        video_path_1 = os.path.abspath(video_path_1)
-        video_path_2 = os.path.abspath(video_path_2)
+        # Get and validate video paths
+        video_paths = [kwargs[f"video_path_{i}"] for i in range(1, number_of_videos + 1) 
+                      if f"video_path_{i}" in kwargs]
         
-        # Validate inputs
-        if not (Path(video_path_1).exists() and Path(video_path_2).exists()):
-            raise ValueError(f"Both video paths must exist.\nPath 1: {video_path_1}\nPath 2: {video_path_2}")
+        video_paths = [os.path.abspath(path) for path in video_paths]
+        for path in video_paths:
+            if not Path(path).exists():
+                raise ValueError(f"Video path does not exist: {path}")
+
+        # Ensure output filename has mp4 extension
+        output_filename = Path(output_filename).with_suffix('.mp4')
+        output_path = self.output_dir / output_filename
         
         # Create concat file with absolute paths
         concat_file = self.work_dir / "concat.txt"
         with open(concat_file, 'w') as f:
-            f.write(f"file '{video_path_1}'\n")
-            f.write(f"file '{video_path_2}'\n")
+            for path in video_paths:
+                f.write(f"file '{path}'\n")
 
-        # Set output path (absolute)
-        output_path = self.output_dir / output_filename
-        output_path = output_path.absolute()
+        # Default configuration
+        config = {
+            'ffmpeg': {'path': 'ffmpeg', 'use_python_ffmpeg': use_python_ffmpeg}
+        }
 
-        # Concatenate videos using ffmpeg with high quality settings
-        cmd = [
-            'ffmpeg', '-y',
-            '-f', 'concat',
-            '-safe', '0',
-            '-i', str(concat_file),
-            # Video settings for maximum quality
-            '-c:v', 'libx264',
-            '-preset', 'veryslow',  # Slowest preset for best compression
-            '-crf', '17',          # Lower CRF for higher quality (range: 0-51, 0 is lossless)
-            '-x264-params', 'ref=6:me=umh:subme=7:trellis=2:direct-pred=auto:b-adapt=2',
-            # Audio settings
-            '-c:a', 'aac',
-            '-b:a', '320k',        # High audio bitrate
-            # Additional quality settings
-            '-movflags', '+faststart',  # Enables streaming
-            '-pix_fmt', 'yuv420p',      # Ensures compatibility
-            str(output_path)
-        ]
+        # If FFMPEG_CONFIG_JSON provided, parse and merge with default config
+        if FFMPEG_CONFIG_JSON:
+            try:
+                json_config = json.loads(FFMPEG_CONFIG_JSON)
+                # Merge JSON config, giving priority to use_python_ffmpeg from the node input
+                config = {**json_config, 'ffmpeg': {**json_config.get('ffmpeg', {}), 'use_python_ffmpeg': use_python_ffmpeg}}
+            except json.JSONDecodeError:
+                raise ValueError("Invalid FFMPEG_CONFIG_JSON format")
 
         try:
-            # Run FFmpeg command
-            process = subprocess.run(
-                cmd,
-                check=True,
-                capture_output=True,
-                text=True
-            )
+            # Use python-ffmpeg if enabled
+            if config.get('ffmpeg', {}).get('use_python_ffmpeg', False):
+                import ffmpeg
                 
-            # Return absolute path as string
-            return (str(output_path),)
+                # Create input streams
+                input_streams = [ffmpeg.input(path) for path in video_paths]
+                
+                # Set up output stream
+                output_kwargs = {}
+                
+                # Video settings
+                video_config = config.get('video', {})
+                if video_config.get('codec') and video_config['codec'] != 'None':
+                    output_kwargs['vcodec'] = video_config['codec']
+                    
+                    # Additional video encoding parameters
+                    if video_config['codec'] != 'copy':
+                        if video_config.get('bitrate'):
+                            output_kwargs['video_bitrate'] = video_config['bitrate']
+                        if video_config.get('crf') is not None:
+                            output_kwargs['crf'] = video_config['crf']
+                        if video_config.get('preset') and video_config['preset'] != 'None':
+                            output_kwargs['preset'] = video_config['preset']
+                
+                # Audio settings
+                audio_config = config.get('audio', {})
+                if audio_config.get('enabled') is False or audio_config.get('codec') == 'None':
+                    output_kwargs['an'] = None  # No audio
+                elif audio_config.get('codec') and audio_config['codec'] != 'None':
+                    output_kwargs['acodec'] = audio_config['codec']
+                    if audio_config.get('bitrate'):
+                        output_kwargs['audio_bitrate'] = audio_config['bitrate']
+                
+                # Concatenate and output
+                output = ffmpeg.concat(*input_streams)
+                output = output.output(str(output_path), **output_kwargs)
+                
+                # Compile and run the command
+                ffmpeg_cmd = output.compile()
+                output.run(overwrite_output=True)
+                
+                return str(output_path), ' '.join(ffmpeg_cmd)
+
+            # Default to subprocess method
+            else:
+                # Default simple concatenation command
+                cmd = [
+                    'ffmpeg', '-y',
+                    '-f', 'concat',
+                    '-safe', '0',
+                    '-i', str(concat_file),
+                    '-c', 'copy',
+                    '-movflags', '+faststart',
+                    str(output_path)
+                ]
+
+                # If FFMPEG_CONFIG_JSON provided, modify command
+                if FFMPEG_CONFIG_JSON:
+                    cmd = [
+                        config.get('ffmpeg', {}).get('path', 'ffmpeg'), '-y',
+                        '-f', 'concat',
+                        '-safe', '0',
+                        '-i', str(concat_file)
+                    ]
+
+                    # Video codec settings
+                    video_config = config.get('video', {})
+                    if video_config.get('codec') and video_config['codec'] != 'None':
+                        cmd.extend(['-c:v', video_config['codec']])
+                        
+                        # Add encoding parameters if not copying
+                        if video_config['codec'] != 'copy':
+                            if video_config.get('bitrate'):
+                                cmd.extend(['-b:v', video_config['bitrate']])
+                            if video_config.get('crf') is not None:
+                                cmd.extend(['-crf', str(video_config['crf'])])
+                            
+                            # Add preset if specified
+                            if video_config.get('preset') and video_config['preset'] != 'None':
+                                cmd.extend(['-preset', video_config['preset']])
+                            
+                            # Add pixel format if specified
+                            if video_config.get('pixel_format') and video_config['pixel_format'] != 'None':
+                                cmd.extend(['-pix_fmt', video_config['pixel_format']])
+
+                    # Audio settings
+                    audio_config = config.get('audio', {})
+                    if audio_config.get('enabled') is False or audio_config.get('codec') == 'None':
+                        cmd.extend(['-an'])
+                    elif audio_config.get('codec') and audio_config['codec'] != 'None':
+                        cmd.extend(['-c:a', audio_config['codec']])
+                        if audio_config.get('bitrate'):
+                            cmd.extend(['-b:a', audio_config['bitrate']])
+
+                    cmd.extend(['-movflags', '+faststart', str(output_path)])
+
+                # Run subprocess command
+                process = subprocess.run(
+                    cmd,
+                    check=True,
+                    capture_output=True,
+                    text=True
+                )
+                return str(output_path), ' '.join(cmd)
             
         except subprocess.CalledProcessError as e:
             raise RuntimeError(f"FFmpeg error: {e.stderr}")

concat_videos_from_list.py

@@ -0,0 +1,183 @@
+import subprocess
+from pathlib import Path
+import os
+import json
+
+class ConcatVideosFromList:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "files": ("STRING", {"multiline": True, "forceInput": True}),
+                "output_filename": ("STRING", {"default": "output.mp4"}),
+                "use_python_ffmpeg": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "FFMPEG_CONFIG_JSON": ("STRING", {"forceInput": True}),
+            }
+        }
+
+    RETURN_TYPES = ("STRING", "STRING",)
+    RETURN_NAMES = ("concat_path", "ffmpeg_command",)
+    FUNCTION = "concat_videos"
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def __init__(self):
+        self.work_dir = Path(os.path.abspath("temp_concat"))
+        self.output_dir = Path(os.path.abspath("Bjornulf/concat_videos"))
+        os.makedirs(self.work_dir, exist_ok=True)
+        os.makedirs(self.output_dir, exist_ok=True)
+
+    def concat_videos(self, files: str, output_filename: str, 
+                    use_python_ffmpeg: bool = False, 
+                    FFMPEG_CONFIG_JSON: str = None):
+        """
+        Concatenate multiple videos using ffmpeg.
+        Supports both subprocess and python-ffmpeg methods.
+        """
+        # Split the multiline string into a list of video paths
+        video_paths = [path.strip() for path in files.split('\n') if path.strip()]
+        
+        video_paths = [os.path.abspath(path) for path in video_paths]
+        for path in video_paths:
+            if not Path(path).exists():
+                raise ValueError(f"Video path does not exist: {path}")
+
+        # Ensure output filename has mp4 extension
+        output_filename = Path(output_filename).with_suffix('.mp4')
+        output_path = self.output_dir / output_filename
+        
+        # Create concat file with absolute paths
+        concat_file = self.work_dir / "concat.txt"
+        with open(concat_file, 'w') as f:
+            for path in video_paths:
+                f.write(f"file '{path}'\n")
+
+        # Default configuration
+        config = {
+            'ffmpeg': {'path': 'ffmpeg', 'use_python_ffmpeg': use_python_ffmpeg}
+        }
+
+        # If FFMPEG_CONFIG_JSON provided, parse and merge with default config
+        if FFMPEG_CONFIG_JSON:
+            try:
+                json_config = json.loads(FFMPEG_CONFIG_JSON)
+                config = {**json_config, 'ffmpeg': {**json_config.get('ffmpeg', {}), 'use_python_ffmpeg': use_python_ffmpeg}}
+            except json.JSONDecodeError:
+                raise ValueError("Invalid FFMPEG_CONFIG_JSON format")
+
+        try:
+            # Use python-ffmpeg if enabled
+            if config.get('ffmpeg', {}).get('use_python_ffmpeg', False):
+                import ffmpeg
+                
+                # Create input streams
+                input_streams = [ffmpeg.input(path) for path in video_paths]
+                
+                # Set up output stream
+                output_kwargs = {}
+                
+                # Video settings
+                video_config = config.get('video', {})
+                if video_config.get('codec') and video_config['codec'] != 'None':
+                    output_kwargs['vcodec'] = video_config['codec']
+                    
+                    # Additional video encoding parameters
+                    if video_config['codec'] != 'copy':
+                        if video_config.get('bitrate'):
+                            output_kwargs['video_bitrate'] = video_config['bitrate']
+                        if video_config.get('crf') is not None:
+                            output_kwargs['crf'] = video_config['crf']
+                        if video_config.get('preset') and video_config['preset'] != 'None':
+                            output_kwargs['preset'] = video_config['preset']
+                
+                # Audio settings
+                audio_config = config.get('audio', {})
+                if audio_config.get('enabled') is False or audio_config.get('codec') == 'None':
+                    output_kwargs['an'] = None  # No audio
+                elif audio_config.get('codec') and audio_config['codec'] != 'None':
+                    output_kwargs['acodec'] = audio_config['codec']
+                    if audio_config.get('bitrate'):
+                        output_kwargs['audio_bitrate'] = audio_config['bitrate']
+                
+                # Concatenate and output
+                output = ffmpeg.concat(*input_streams)
+                output = output.output(str(output_path), **output_kwargs)
+                
+                # Compile and run the command
+                ffmpeg_cmd = output.compile()
+                output.run(overwrite_output=True)
+                
+                return str(output_path), ' '.join(ffmpeg_cmd)
+
+            # Default to subprocess method
+            else:
+                # Default simple concatenation command
+                cmd = [
+                    'ffmpeg', '-y',
+                    '-f', 'concat',
+                    '-safe', '0',
+                    '-i', str(concat_file),
+                    '-c', 'copy',
+                    '-movflags', '+faststart',
+                    str(output_path)
+                ]
+
+                # If FFMPEG_CONFIG_JSON provided, modify command
+                if FFMPEG_CONFIG_JSON:
+                    cmd = [
+                        config.get('ffmpeg', {}).get('path', 'ffmpeg'), '-y',
+                        '-f', 'concat',
+                        '-safe', '0',
+                        '-i', str(concat_file)
+                    ]
+
+                    # Video codec settings
+                    video_config = config.get('video', {})
+                    if video_config.get('codec') and video_config['codec'] != 'None':
+                        cmd.extend(['-c:v', video_config['codec']])
+                        
+                        # Add encoding parameters if not copying
+                        if video_config['codec'] != 'copy':
+                            if video_config.get('bitrate'):
+                                cmd.extend(['-b:v', video_config['bitrate']])
+                            if video_config.get('crf') is not None:
+                                cmd.extend(['-crf', str(video_config['crf'])])
+                            
+                            # Add preset if specified
+                            if video_config.get('preset') and video_config['preset'] != 'None':
+                                cmd.extend(['-preset', video_config['preset']])
+                            
+                            # Add pixel format if specified
+                            if video_config.get('pixel_format') and video_config['pixel_format'] != 'None':
+                                cmd.extend(['-pix_fmt', video_config['pixel_format']])
+
+                    # Audio settings
+                    audio_config = config.get('audio', {})
+                    if audio_config.get('enabled') is False or audio_config.get('codec') == 'None':
+                        cmd.extend(['-an'])
+                    elif audio_config.get('codec') and audio_config['codec'] != 'None':
+                        cmd.extend(['-c:a', audio_config['codec']])
+                        if audio_config.get('bitrate'):
+                            cmd.extend(['-b:a', audio_config['bitrate']])
+
+                    cmd.extend(['-movflags', '+faststart', str(output_path)])
+
+                # Run subprocess command
+                process = subprocess.run(
+                    cmd,
+                    check=True,
+                    capture_output=True,
+                    text=True
+                )
+                return str(output_path), ' '.join(cmd)
+            
+        except subprocess.CalledProcessError as e:
+            raise RuntimeError(f"FFmpeg error: {e.stderr}")
+        except Exception as e:
+            raise RuntimeError(f"Error during video concatenation: {str(e)}")
+
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        return float("NaN")

ffmpeg_configuration.py

@@ -0,0 +1,171 @@
+import json
+import subprocess
+import ffmpeg  # Assuming the Python FFmpeg bindings (ffmpeg-python) are installed
+
+class FFmpegConfig:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "use_python_ffmpeg": ("BOOLEAN", {"default": False}),
+                "ffmpeg_path": ("STRING", {"default": "ffmpeg"}),
+                "video_codec": ([
+                    "None",
+                    "copy",
+                    "libx264 (H.264)",
+                    "h264_nvenc (H.264 / NVIDIA GPU)", 
+                    "libx265 (H.265)",
+                    "hevc_nvenc (H.265 / NVIDIA GPU)",
+                    "libvpx-vp9 (WebM)",
+                    "libaom-av1"
+                ], {"default": "None"}),
+                
+                "video_bitrate": ("STRING", {"default": "3045k"}),
+                
+                "preset": ([
+                    "None",
+                    "ultrafast",
+                    "superfast",
+                    "veryfast", 
+                    "faster",
+                    "fast",
+                    "medium",
+                    "slow",
+                    "slower",
+                    "veryslow"
+                ], {"default": "medium"}),
+                
+                "pixel_format": ([
+                    "None",
+                    "yuv420p",
+                    "yuv444p",
+                    "yuv420p10le",
+                    "yuv444p10le", 
+                    "rgb24",
+                    "rgba",
+                    "yuva420p"
+                ], {"default": "yuv420p"}),
+                
+                "container_format": ([
+                    "None",
+                    "mp4",
+                    "mkv", 
+                    "webm",
+                    "mov",
+                    "avi"
+                ], {"default": "mp4"}),
+                
+                "crf": ("INT", {"default": 19, "min": 1, "max": 63}),
+                
+                "force_fps": ("FLOAT", {
+                    "default": 0.0,
+                    "min": 0.0,
+                    "max": 240.0,
+                    "step": 0.01,
+                    "description": "Force output FPS (0 = use source FPS)"
+                }),
+                
+                "width": ("INT", {"default": 1152, "min": 1, "max": 10000}),
+                "height": ("INT", {"default": 768, "min": 1, "max": 10000}),
+                
+                "ignore_audio": ("BOOLEAN", {"default": False}),
+                "audio_codec": ([
+                    "None",
+                    "copy",
+                    "aac",
+                    "libmp3lame",
+                    "libvorbis", 
+                    "libopus",
+                    "none"
+                ], {"default": "aac"}),
+                "audio_bitrate": ("STRING", {"default": "192k"}),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("FFMPEG_CONFIG_JSON",)
+    FUNCTION = "create_config"
+    CATEGORY = "Bjornulf"
+
+    def get_ffmpeg_version(self, ffmpeg_path, use_python_ffmpeg):
+        if use_python_ffmpeg:
+            try:
+                # Retrieve Python ffmpeg-python version
+                return f"Python FFmpeg binding (ffmpeg-python) version: {ffmpeg.__version__}"
+            except AttributeError:
+                return "Python FFmpeg binding (ffmpeg-python) version: Unknown (no __version__ attribute)"
+        else:
+            try:
+                # Retrieve system FFmpeg version
+                result = subprocess.run(
+                    [ffmpeg_path, "-version"],
+                    stdout=subprocess.PIPE,
+                    stderr=subprocess.PIPE,
+                    text=True
+                )
+                version_line = result.stdout.splitlines()[0]
+                return version_line
+            except Exception as e:
+                return f"Error fetching FFmpeg version: {e}"
+
+    def create_json_output(self, config, use_python_ffmpeg):
+        """Create a JSON string containing all FFmpeg configuration."""
+        ffmpeg_version = self.get_ffmpeg_version(config["ffmpeg_path"], use_python_ffmpeg)
+        config_info = {
+            "ffmpeg": {
+                "path": config["ffmpeg_path"],
+                "version": ffmpeg_version
+            },
+            "video": {
+                "codec": config["video_codec"] or "None",
+                "bitrate": config["video_bitrate"],
+                "preset": config["preset"] or "None",
+                "pixel_format": config["pixel_format"] or "None",
+                "crf": config["crf"],
+                "resolution": {
+                    "width": config["width"],
+                    "height": config["height"]
+                },
+                "fps": {
+                    "force_fps": config["force_fps"],
+                    "enabled": config["force_fps"] > 0
+                }
+            },
+            "audio": {
+                "enabled": not config["ignore_audio"],
+                "codec": config["audio_codec"] or "None",
+                "bitrate": config["audio_bitrate"]
+            },
+            "output": {
+                "container_format": config["container_format"] or "None"
+            }
+        }
+        return json.dumps(config_info, indent=2)
+
+    def create_config(self, ffmpeg_path, use_python_ffmpeg, ignore_audio, video_codec, audio_codec,
+                     video_bitrate, audio_bitrate, preset, pixel_format,
+                     container_format, crf, force_fps, width, height):
+                     
+        config = {
+            "ffmpeg_path": ffmpeg_path,
+            "video_bitrate": video_bitrate,
+            "preset": None if preset == "None" else preset,
+            "crf": crf,
+            "force_fps": force_fps,
+            "ignore_audio": ignore_audio,
+            "audio_bitrate": audio_bitrate,
+            "width": width,
+            "height": height,
+            "video_codec": video_codec.split(" ")[0] if video_codec != "None" else None,
+            "pixel_format": None if pixel_format == "None" else pixel_format,
+            "container_format": None if container_format == "None" else container_format,
+            "audio_codec": None if audio_codec == "None" or ignore_audio else audio_codec,
+        }
+
+        return (self.create_json_output(config, use_python_ffmpeg),)
+
+    @classmethod 
+    def IS_CHANGED(cls, ffmpeg_path, use_python_ffmpeg, ignore_audio, video_codec, audio_codec,
+                  video_bitrate, audio_bitrate, preset, pixel_format,
+                  container_format, crf, force_fps, width, height) -> float:
+        return 0.0

ffmpeg_convert.py

@@ -0,0 +1,302 @@
+import subprocess
+from pathlib import Path
+import os
+import json
+
+class ConvertVideo:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "video_path": ("STRING", {"forceInput": True}),
+                "output_filename": ("STRING", {"default": "converted.mp4"}),
+                "use_python_ffmpeg": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "FFMPEG_CONFIG_JSON": ("STRING", {"forceInput": True}),
+            },
+        }
+
+    RETURN_TYPES = ("STRING", "STRING",)
+    RETURN_NAMES = ("video_path", "ffmpeg_command",)
+    FUNCTION = "convert_video"
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def __init__(self):
+        self.output_dir = Path(os.path.abspath("ffmpeg/converted_videos"))
+        os.makedirs(self.output_dir, exist_ok=True)
+
+    def get_default_config(self):
+        """Provide basic default configuration."""
+        return {
+            'ffmpeg_path': 'ffmpeg',  # Assuming ffmpeg is in PATH
+            'video_codec': 'copy',
+            'video_bitrate': '3045K',
+            'preset': 'medium',
+            'pixel_format': 'yuv420p',
+            'container_format': 'mp4',
+            'crf': 19,
+            'force_fps': 30,
+            'width': None,
+            'height': None,
+            'ignore_audio': False,
+            'audio_codec': 'aac',
+            'audio_bitrate': '128k'
+        }
+        
+    def parse_config_json(self, config_json: str) -> dict:
+        """Parse the JSON configuration string into a dictionary format compatible with the converter"""
+        config = json.loads(config_json)
+        
+        return {
+            # 'use_python_ffmpeg': config['ffmpeg']['use_python_ffmpeg'],
+            'ffmpeg_path': config['ffmpeg']['path'],
+            'video_codec': None if config['video']['codec'] == 'None' else config['video']['codec'],
+            'video_bitrate': config['video']['bitrate'],
+            'preset': None if config['video']['preset'] == 'None' else config['video']['preset'],
+            'pixel_format': None if config['video']['pixel_format'] == 'None' else config['video']['pixel_format'],
+            'container_format': None if config['output']['container_format'] == 'None' else config['output']['container_format'],
+            'crf': config['video']['crf'],
+            'force_fps': config['video']['fps']['force_fps'],
+            'width': config['video']['resolution']['width'],
+            'height': config['video']['resolution']['height'],
+            'ignore_audio': not config['audio']['enabled'],
+            'audio_codec': None if config['audio']['codec'] == 'None' else config['audio']['codec'],
+            'audio_bitrate': config['audio']['bitrate']
+        }
+
+    def convert_video_subprocess(self, input_path, output_path, FFMPEG_CONFIG_JSON):
+        """Use subprocess to run ffmpeg command"""
+        cmd = [
+            FFMPEG_CONFIG_JSON['ffmpeg_path'], '-y',
+            '-i', str(input_path)
+        ]
+
+        # Add video codec settings if not None
+        if FFMPEG_CONFIG_JSON['video_codec'] is not None:
+            if FFMPEG_CONFIG_JSON['video_codec'] == 'copy':
+                cmd.extend(['-c:v', 'copy'])
+            else:
+                cmd.extend(['-c:v', FFMPEG_CONFIG_JSON['video_codec']])
+                
+                # Add preset if specified
+                if FFMPEG_CONFIG_JSON['preset'] is not None:
+                    cmd.extend(['-preset', FFMPEG_CONFIG_JSON['preset']])
+                
+                # Add width and height if specified
+                if FFMPEG_CONFIG_JSON['width'] and FFMPEG_CONFIG_JSON['height']:
+                    cmd.extend(['-vf', f'scale={FFMPEG_CONFIG_JSON["width"]}:{FFMPEG_CONFIG_JSON["height"]}'])
+                
+                # Add video bitrate if specified
+                if FFMPEG_CONFIG_JSON['video_bitrate']:
+                    cmd.extend(['-b:v', FFMPEG_CONFIG_JSON['video_bitrate']])
+                
+                # Add CRF if video codec isn't copy
+                cmd.extend(['-crf', str(FFMPEG_CONFIG_JSON['crf'])])
+                
+                # Add pixel format if specified
+                if FFMPEG_CONFIG_JSON['pixel_format'] is not None:
+                    cmd.extend(['-pix_fmt', FFMPEG_CONFIG_JSON['pixel_format']])
+                
+                # Add force fps if enabled
+                if FFMPEG_CONFIG_JSON['force_fps'] > 0:
+                    cmd.extend(['-r', str(FFMPEG_CONFIG_JSON['force_fps'])])
+
+        # Add audio codec settings
+        if FFMPEG_CONFIG_JSON['ignore_audio'] or FFMPEG_CONFIG_JSON['audio_codec'] is None:
+            cmd.extend(['-an'])
+        elif FFMPEG_CONFIG_JSON['audio_codec'] == 'copy':
+            cmd.extend(['-c:a', 'copy'])
+        else:
+            cmd.extend([
+                '-c:a', FFMPEG_CONFIG_JSON['audio_codec'],
+                '-b:a', FFMPEG_CONFIG_JSON['audio_bitrate']
+            ])
+
+        # Add output path
+        cmd.append(str(output_path))
+        
+        process = subprocess.run(
+            cmd,
+            check=True,
+            capture_output=True,
+            text=True
+        )
+
+    def convert_video_python_ffmpeg(self, input_path, output_path, FFMPEG_CONFIG_JSON):
+        """Use ffmpeg-python library"""
+        try:
+            import ffmpeg
+        except ImportError:
+            raise ImportError("ffmpeg-python is not installed. Please install it with: pip install ffmpeg-python")
+
+        # Start building the ffmpeg-python chain
+        stream = ffmpeg.input(str(input_path))
+
+        # Build stream arguments based on config
+        stream_args = {}
+        
+        # Video settings if not None
+        if FFMPEG_CONFIG_JSON['video_codec'] is not None:
+            if FFMPEG_CONFIG_JSON['video_codec'] != 'copy':
+                stream_args['vcodec'] = FFMPEG_CONFIG_JSON['video_codec']
+                
+                if FFMPEG_CONFIG_JSON['preset'] is not None:
+                    stream_args['preset'] = FFMPEG_CONFIG_JSON['preset']
+                
+                # Add width and height if specified
+                if FFMPEG_CONFIG_JSON['width'] and FFMPEG_CONFIG_JSON['height']:
+                    stream = ffmpeg.filter(stream, 'scale', 
+                        w=FFMPEG_CONFIG_JSON['width'], 
+                        h=FFMPEG_CONFIG_JSON['height'])
+                
+                if FFMPEG_CONFIG_JSON['video_bitrate']:
+                    stream_args['video_bitrate'] = FFMPEG_CONFIG_JSON['video_bitrate']
+                    
+                if FFMPEG_CONFIG_JSON['force_fps'] > 0:
+                    stream_args['crf'] = FFMPEG_CONFIG_JSON['crf']
+                else:
+                    stream_args['crf'] = 19
+                
+                if FFMPEG_CONFIG_JSON['pixel_format'] is not None:
+                    stream_args['pix_fmt'] = FFMPEG_CONFIG_JSON['pixel_format']
+                
+                if FFMPEG_CONFIG_JSON['force_fps'] > 0:
+                    stream_args['r'] = FFMPEG_CONFIG_JSON['force_fps']
+            else:
+                stream_args['vcodec'] = 'copy'
+
+        # Audio settings
+        if FFMPEG_CONFIG_JSON['ignore_audio'] or FFMPEG_CONFIG_JSON['audio_codec'] is None:
+            stream_args['an'] = None
+        elif FFMPEG_CONFIG_JSON['audio_codec'] == 'copy':
+            stream_args['acodec'] = 'copy'
+        else:
+            stream_args.update({
+                'acodec': FFMPEG_CONFIG_JSON['audio_codec'],
+                'audio_bitrate': FFMPEG_CONFIG_JSON['audio_bitrate']
+            })
+
+        # Run the ffmpeg operation
+        stream = ffmpeg.output(stream, str(output_path), **stream_args, y=None)
+        stream.run()
+
+    def convert_video(self, video_path: str, output_filename: str, FFMPEG_CONFIG_JSON: str = None, use_python_ffmpeg: bool = False):
+        """
+        Convert a video using either subprocess or python-ffmpeg based on config.
+        If no configuration is provided, uses default configuration.
+        """
+        # Use default configuration if no JSON is provided
+        if FFMPEG_CONFIG_JSON is None:
+            default_config = self.get_default_config()
+            # Create a JSON-like structure to match the parse_config_json method's expectations
+            FFMPEG_CONFIG_JSON = {
+                'ffmpeg': {
+                    'path': default_config['ffmpeg_path']
+                },
+                'video': {
+                    'codec': default_config['video_codec'],
+                    'bitrate': default_config['video_bitrate'],
+                    'preset': default_config['preset'],
+                    'pixel_format': default_config['pixel_format'],
+                    'crf': default_config['crf'],
+                    'fps': {
+                        'force_fps': default_config['force_fps']
+                    },
+                    'resolution': {
+                        'width': default_config['width'],
+                        'height': default_config['height']
+                    }
+                },
+                'output': {
+                    'container_format': default_config['container_format']
+                },
+                'audio': {
+                    'enabled': not default_config['ignore_audio'],
+                    'codec': default_config['audio_codec'],
+                    'bitrate': default_config['audio_bitrate']
+                }
+            }
+            # Convert to JSON string
+            FFMPEG_CONFIG_JSON = json.dumps(FFMPEG_CONFIG_JSON)
+        
+        # Parse the JSON configuration
+        FFMPEG_CONFIG_JSON = self.parse_config_json(FFMPEG_CONFIG_JSON)
+        
+        # Validate input path
+        input_path = Path(os.path.abspath(video_path))
+        if not input_path.exists():
+            raise ValueError(f"Input video path does not exist: {input_path}")
+        
+        # Set output path
+        if FFMPEG_CONFIG_JSON['container_format']:
+            output_filename = Path(output_filename).with_suffix(f".{FFMPEG_CONFIG_JSON['container_format']}")
+        output_path = self.output_dir / output_filename
+        output_path = output_path.absolute()
+        
+        # Construct FFmpeg command for command string return
+        cmd = [
+            FFMPEG_CONFIG_JSON['ffmpeg_path'], '-y',
+            '-i', str(input_path)
+        ]
+
+        # Add video codec settings if not None
+        if FFMPEG_CONFIG_JSON['video_codec'] is not None:
+            if FFMPEG_CONFIG_JSON['video_codec'] == 'copy':
+                cmd.extend(['-c:v', 'copy'])
+            else:
+                cmd.extend(['-c:v', FFMPEG_CONFIG_JSON['video_codec']])
+                
+                if FFMPEG_CONFIG_JSON['preset'] is not None:
+                    cmd.extend(['-preset', FFMPEG_CONFIG_JSON['preset']])
+                
+                if FFMPEG_CONFIG_JSON['width'] and FFMPEG_CONFIG_JSON['height']:
+                    cmd.extend(['-vf', f'scale={FFMPEG_CONFIG_JSON["width"]}:{FFMPEG_CONFIG_JSON["height"]}'])
+                
+                if FFMPEG_CONFIG_JSON['video_bitrate']:
+                    cmd.extend(['-b:v', FFMPEG_CONFIG_JSON['video_bitrate']])
+                
+                if FFMPEG_CONFIG_JSON['crf'] > 0:
+                    cmd.extend(['-crf', str(FFMPEG_CONFIG_JSON['crf'])])
+                else:
+                    cmd.extend(['-crf', '19'])
+                
+                if FFMPEG_CONFIG_JSON['pixel_format'] is not None:
+                    cmd.extend(['-pix_fmt', FFMPEG_CONFIG_JSON['pixel_format']])
+                
+                if FFMPEG_CONFIG_JSON['force_fps'] > 0:
+                    cmd.extend(['-r', str(FFMPEG_CONFIG_JSON['force_fps'])])
+
+        # Add audio codec settings
+        if FFMPEG_CONFIG_JSON['ignore_audio'] or FFMPEG_CONFIG_JSON['audio_codec'] is None:
+            cmd.extend(['-an'])
+        elif FFMPEG_CONFIG_JSON['audio_codec'] == 'copy':
+            cmd.extend(['-c:a', 'copy'])
+        else:
+            cmd.extend([
+                '-c:a', FFMPEG_CONFIG_JSON['audio_codec'],
+                '-b:a', FFMPEG_CONFIG_JSON['audio_bitrate']
+            ])
+
+        cmd.append(str(output_path))
+        
+        # Convert command list to string
+        ffmpeg_command = ' '.join(cmd)
+        
+        try:
+            if use_python_ffmpeg:
+                self.convert_video_python_ffmpeg(input_path, output_path, FFMPEG_CONFIG_JSON)
+            else:
+                self.convert_video_subprocess(input_path, output_path, FFMPEG_CONFIG_JSON)
+            
+            return (str(output_path), ffmpeg_command)
+            
+        except subprocess.CalledProcessError as e:
+            raise RuntimeError(f"FFmpeg error: {e.stderr}")
+        except Exception as e:
+            raise RuntimeError(f"Error during video conversion: {str(e)}")
+
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        return float("NaN")

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "bjornulf_custom_nodes"
-description = "61 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 = "0.60"
+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"
 license = {file = "LICENSE"}
 
 [project.urls]

requirements.txt

@@ -2,3 +2,6 @@ ollama
 pydub
 opencv-python
 faster_whisper
+ffmpeg-python
+re
+subprocess

resize_image_percentage.py

@@ -0,0 +1,89 @@
+import numpy as np
+import torch
+from PIL import Image
+
+class ResizeImagePercentage:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": ("IMAGE", {}),
+                "percentage": ("INT", {
+                    "default": 50,
+                    "min": 1,
+                    "max": 1000,
+                    "step": 1,
+                }),
+            },
+            "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+        }
+
+    FUNCTION = "resize_image"
+    RETURN_TYPES = ("IMAGE", "INT", "INT",)
+    RETURN_NAMES = ("IMAGE", "width", "height")
+    OUTPUT_NODE = True
+    CATEGORY = "Bjornulf"
+
+    def resize_image(self, image, percentage=100.0, prompt=None, extra_pnginfo=None):
+        # Convert percentage to decimal (e.g., 150% -> 1.5)
+        scale_factor = percentage / 100.0
+        
+        # Ensure the input image is on CPU and convert to numpy array
+        image_np = image.cpu().numpy()
+        
+        # Initialize new_width and new_height
+        new_width = 0
+        new_height = 0
+        
+        # Check if the image is in the format [batch, height, width, channel]
+        if image_np.ndim == 4:
+            # Process each image in the batch
+            resized_images = []
+            for img in image_np:
+                # Get original dimensions
+                orig_height, orig_width = img.shape[:2]
+                
+                # Calculate new dimensions
+                new_width = int(orig_width * scale_factor)
+                new_height = int(orig_height * scale_factor)
+                
+                # Convert to PIL Image
+                pil_img = Image.fromarray((img * 255).astype(np.uint8))
+                # Resize
+                resized_pil = pil_img.resize((new_width, new_height), Image.LANCZOS)
+                # Convert back to numpy and normalize
+                resized_np = np.array(resized_pil).astype(np.float32) / 255.0
+                resized_images.append(resized_np)
+            
+            # Stack the resized images back into a batch
+            resized_batch = np.stack(resized_images)
+            # Convert to torch tensor
+            resized_tensor = torch.from_numpy(resized_batch)
+        else:
+            # If it's a single image, process it directly
+            # Get original dimensions
+            orig_height, orig_width = image_np.shape[:2]
+            
+            # Calculate new dimensions
+            new_width = int(orig_width * scale_factor)
+            new_height = int(orig_height * scale_factor)
+            
+            # Convert to PIL Image
+            pil_img = Image.fromarray((image_np * 255).astype(np.uint8))
+            # Resize
+            resized_pil = pil_img.resize((new_width, new_height), Image.LANCZOS)
+            # Convert back to numpy and normalize
+            resized_np = np.array(resized_pil).astype(np.float32) / 255.0
+            # Add batch dimension if it was originally present
+            if image.dim() == 4:
+                resized_np = np.expand_dims(resized_np, axis=0)
+            # Convert to torch tensor
+            resized_tensor = torch.from_numpy(resized_np)
+
+        # Update metadata if needed
+        if extra_pnginfo is not None:
+            extra_pnginfo["resize_percentage"] = percentage
+            extra_pnginfo["resized_width"] = new_width
+            extra_pnginfo["resized_height"] = new_height
+
+        return (resized_tensor, new_width, new_height)

show_stuff.py

@@ -0,0 +1,144 @@
+class ShowInt:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "INT": ("INT", {"default": 0, "forceInput": True}),
+            },
+        }
+
+    RETURN_TYPES = ()
+    FUNCTION = "show_int"
+    OUTPUT_NODE = True
+    INPUT_IS_LIST = (True,)
+    CATEGORY = "Bjornulf"
+    
+    def detect_type(self, value):
+        return 'integer'
+
+    def show_int(self, INT):
+        type_info = [f"{value}" for value in INT]
+        return {"ui": {"text": type_info}}
+
+class ShowFloat:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "FLOAT": ("FLOAT", {"default": 0.0, "forceInput": True}),
+            },
+        }
+
+    RETURN_TYPES = ()
+    FUNCTION = "show_float"
+    OUTPUT_NODE = True
+    INPUT_IS_LIST = (True,)
+    CATEGORY = "Bjornulf"
+    
+    def detect_type(self, value):
+        return 'float'
+
+    def show_float(self, FLOAT):
+        type_info = [f"{value}" for value in FLOAT]
+        return {"ui": {"text": type_info}}
+
+
+class ShowStringText:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "STRING": ("STRING", {"default": "", "forceInput": True}),
+            },
+        }
+
+    RETURN_TYPES = ()
+    FUNCTION = "show_string"
+    OUTPUT_NODE = True
+    INPUT_IS_LIST = (True,)
+    CATEGORY = "Bjornulf"
+    
+    def detect_type(self, value):
+        if isinstance(value, int):
+            return 'integer'
+        elif isinstance(value, float):
+            # Check if it has a decimal part
+            if value % 1 == 0:
+                return 'float' if str(value).endswith('.0') else 'integer'
+            return 'float'
+        elif isinstance(value, str):
+            try:
+                float_val = float(value)
+                if '.' in value:
+                    return 'float string'
+                if float_val.is_integer():
+                    return 'integer string'
+                return 'float string'
+            except ValueError:
+                return 'normal string'
+        else:
+            return 'other type'
+
+    def show_string(self, STRING):
+        type_info = [f"{value}" for value in STRING]
+        return {"ui": {"text": type_info}}
+
+class ShowJson:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "STRING": ("STRING", {"default": "", "forceInput": True}),
+            },
+        }
+
+    RETURN_TYPES = ()
+    FUNCTION = "show_json"
+    OUTPUT_NODE = True
+    INPUT_IS_LIST = (True,)
+    CATEGORY = "Bjornulf"
+    
+    def detect_type(self, value):
+        if isinstance(value, int):
+            return 'integer'
+        elif isinstance(value, float):
+            if value % 1 == 0:
+                return 'float' if str(value).endswith('.0') else 'integer'
+            return 'float'
+        elif isinstance(value, str):
+            try:
+                float_val = float(value)
+                if '.' in value:
+                    return 'float string'
+                if float_val.is_integer():
+                    return 'integer string'
+                return 'float string'
+            except ValueError:
+                return 'normal string'
+        else:
+            return 'other type'
+
+    def show_json(self, STRING):
+        import json
+        try:
+            # Join all characters into a single string
+            full_string = "".join(STRING)
+            try:
+                # Parse JSON
+                parsed_json = json.loads(full_string)
+                # Format JSON with proper indentation and Unicode support
+                formatted_json = json.dumps(
+                    parsed_json,
+                    indent=2,  # You can adjust this number for different indentation levels
+                    ensure_ascii=False,
+                    sort_keys=True  # Optional: sorts keys alphabetically
+                )
+                # Add newlines for better readability
+                formatted_json = f"\n{formatted_json}\n"
+                # Return as a single-element list
+                return {"ui": {"text": [formatted_json]}}
+            except json.JSONDecodeError as e:
+                # If not valid JSON, return error message
+                return {"ui": {"text": [f"Invalid JSON: {str(e)}\nOriginal string:\n{full_string}"]}}
+        except Exception as e:
+            return {"ui": {"text": [f"Error processing string: {str(e)}"]}}

text_replace.py

@@ -0,0 +1,130 @@
+import re
+
+class TextReplace:
+    def __init__(self):
+        pass
+    
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input_text": ("STRING", {"multiline": True, "forceInput": True}),
+                "search_text": ("STRING", {"multiline": True}),
+                "replace_text": ("STRING", {"multiline": True, "default": ""}),
+                "replace_count": ("INT", {"default": 0, "min": 0, "max": 1000, 
+                                          "display": "number", 
+                                          "tooltip": "Number of replacements (0 = replace all)"}),
+                "use_regex": ("BOOLEAN", {"default": False}),
+                "case_sensitive": ("BOOLEAN", {"default": True, "tooltip": "Whether the search should be case-sensitive"}),
+                "trim_whitespace": (["none", "left", "right", "both"], {
+                    "default": "none", 
+                    "tooltip": "Remove whitespace around the found text"
+                })
+            }
+        }
+    
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "replace_text"
+    CATEGORY = "Bjornulf"
+    
+    def replace_text(self, input_text, search_text, replace_text, replace_count, use_regex, case_sensitive, trim_whitespace):
+        try:
+            # Convert input to string
+            input_text = str(input_text)
+            
+            # Prepare regex flags
+            regex_flags = 0
+            if not case_sensitive:
+                regex_flags |= re.IGNORECASE
+            
+            # Debug print
+            # print(f"Input: {input_text}")
+            # print(f"Search Text: {search_text}")
+            # print(f"Replace Text: {replace_text}")
+            # print(f"Use Regex: {use_regex}")
+            # print(f"Regex Flags: {regex_flags}")
+            
+            if use_regex:
+                # Ensure regex pattern is valid
+                try:
+                    # Compile the regex pattern first
+                    pattern = re.compile(search_text, flags=regex_flags)
+                    
+                    # Perform replacement
+                    if replace_count == 0:
+                        # Replace all instances
+                        result = pattern.sub(replace_text, input_text)
+                    else:
+                        # Replace specific number of instances
+                        result = pattern.sub(replace_text, input_text, count=replace_count)
+                    
+                    # Debug print
+                    # print(f"Regex Result: {result}")
+                    
+                    return (result,)
+                
+                except re.error as regex_compile_error:
+                    # print(f"Invalid Regex Pattern: {regex_compile_error}")
+                    return (input_text,)
+            
+            else:
+                # Standard string replacement
+                if not case_sensitive:
+                    # Case-insensitive string replacement
+                    result = input_text
+                    count = 0
+                    while search_text.lower() in result.lower() and (replace_count == 0 or count < replace_count):
+                        # Find the index of the match
+                        idx = result.lower().index(search_text.lower())
+                        
+                        # Determine left and right parts
+                        left_part = result[:idx]
+                        right_part = result[idx + len(search_text):]
+                        
+                        # Trim whitespace based on option
+                        if trim_whitespace == "left":
+                            left_part = left_part.rstrip()
+                        elif trim_whitespace == "right":
+                            right_part = right_part.lstrip()
+                        elif trim_whitespace == "both":
+                            left_part = left_part.rstrip()
+                            right_part = right_part.lstrip()
+                        
+                        # Reconstruct the string
+                        result = left_part + replace_text + right_part
+                        count += 1
+                else:
+                    # Case-sensitive replacement
+                    result = input_text
+                    count = 0
+                    while search_text in result and (replace_count == 0 or count < replace_count):
+                        # Find the index of the match
+                        idx = result.index(search_text)
+                        
+                        # Determine left and right parts
+                        left_part = result[:idx]
+                        right_part = result[idx + len(search_text):]
+                        
+                        # Trim whitespace based on option
+                        if trim_whitespace == "left":
+                            left_part = left_part.rstrip()
+                        elif trim_whitespace == "right":
+                            right_part = right_part.lstrip()
+                        elif trim_whitespace == "both":
+                            left_part = left_part.rstrip()
+                            right_part = right_part.lstrip()
+                        
+                        # Reconstruct the string
+                        result = left_part + replace_text + right_part
+                        count += 1
+            
+            return (result,)
+            
+        except Exception as e:
+            # print(f"Unexpected error during text replacement: {e}")
+            return (input_text,)
+
+    @classmethod
+    def IS_CHANGED(cls, input_text, search_text, replace_text, replace_count, use_regex, case_sensitive, trim_whitespace):
+        # Return float("NaN") to ensure the node always processes
+        return float("NaN")

video_details.py

@@ -0,0 +1,330 @@
+import subprocess
+import json
+from pathlib import Path
+import os
+import re
+try:
+    import ffmpeg
+    FFMPEG_PYTHON_AVAILABLE = True
+except ImportError:
+    FFMPEG_PYTHON_AVAILABLE = False
+
+class VideoDetails:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "video_path": ("STRING", {"default": "", "forceInput": True}),
+                "ffprobe_path": ("STRING", {"default": "ffprobe"}),
+                "use_python_ffmpeg": ("BOOLEAN", {"default": False}),
+            }
+        }
+
+    RETURN_TYPES = ("STRING", "STRING", "INT", "INT", "FLOAT", "INT", "INT", "STRING", "STRING", 
+                    "STRING", "STRING", "STRING", "STRING", "FLOAT", "STRING", "STRING")
+    RETURN_NAMES = ("filename", "video_path", "width", "height", "fps", "total_frames", "duration_seconds",
+                   "video_codec", "video_bitrate", "pixel_format",
+                   "audio_codec", "audio_bitrate", "container_format",
+                   "duration_seconds_float", "full_info", "FFMPEG_CONFIG_JSON")
+    FUNCTION = "get_video_info"
+    CATEGORY = "Bjornulf"
+
+    def extract_bitrate(self, text):
+        """Extract bitrate value from text."""
+        match = re.search(r'(\d+(?:\.\d+)?)\s*(?:kb/s|Kb/s|KB/s|Mb/s|MB/s)', text)
+        if match:
+            value = float(match.group(1))
+            if 'mb/s' in text.lower() or 'MB/s' in text:
+                value *= 1000
+            return f"{value:.0f}k"
+        return "N/A"
+
+    def create_json_output(self, filename, video_path, width, height, fps, total_frames,
+                         duration_seconds, duration_seconds_float, video_codec,
+                         video_bitrate, pixel_format, audio_codec, audio_bitrate,
+                         container_format):
+        """Create a JSON string containing all video information in FFmpegConfig format."""
+        video_info = {
+            "ffmpeg": {
+                "path": "ffmpeg",  # Default value since this is from probe
+                # "use_python_ffmpeg": False  # Default value since this is from probe
+            },
+            "video": {
+                "codec": video_codec if video_codec != "N/A" else "None",
+                "bitrate": video_bitrate if video_bitrate != "N/A" else "0k",
+                "preset": "None",  # Not available from probe
+                "pixel_format": pixel_format if pixel_format != "N/A" else "None",
+                "crf": 0,  # Not available from probe
+                "resolution": {
+                    "width": width,
+                    "height": height
+                },
+                "fps": {
+                    "force_fps": fps,
+                    "enabled": False  # This is source fps, not forced
+                }
+            },
+            "audio": {
+                "enabled": audio_codec != "N/A" and audio_codec != "None",
+                "codec": audio_codec if audio_codec != "N/A" else "None",
+                "bitrate": audio_bitrate if audio_bitrate != "N/A" else "0k"
+            },
+            "output": {
+                "container_format": container_format if container_format != "N/A" else "None"
+            }
+        }
+        return json.dumps(video_info, indent=2)
+
+    def create_full_info_string(self, video_path, width, height, fps, total_frames,
+                              duration_seconds, duration_seconds_float, video_codec,
+                              video_bitrate, pixel_format, audio_codec, audio_bitrate,
+                              container_format):
+        return f"""Video Information:
+Filename: {os.path.basename(video_path)}
+Resolution: {width}x{height}
+FPS: {fps:.3f}
+Total Frames: {total_frames}
+Duration: {duration_seconds} seconds ({duration_seconds_float:.3f})
+Video Codec: {video_codec}
+Video Bitrate: {video_bitrate}
+Pixel Format: {pixel_format}
+Audio Codec: {audio_codec}
+Audio Bitrate: {audio_bitrate}
+Container Format: {container_format}
+"""
+
+    def get_video_info_python_ffmpeg(self, video_path):
+        """Get video info using python-ffmpeg."""
+        if not FFMPEG_PYTHON_AVAILABLE:
+            raise RuntimeError("python-ffmpeg is not installed. Please install it with 'pip install ffmpeg-python'")
+
+        try:
+            probe = ffmpeg.probe(video_path)
+            
+            # Initialize variables with default values
+            width = 0
+            height = 0
+            fps = 0.0
+            total_frames = 0
+            duration_seconds = 0
+            duration_seconds_float = 0.0
+            video_codec = "N/A"
+            video_bitrate = "N/A"
+            pixel_format = "N/A"
+            audio_codec = "N/A"
+            audio_bitrate = "N/A"
+            container_format = "N/A"
+
+            # Extract format information
+            format_data = probe['format']
+
+            container_format = format_data.get('format_name', "N/A").split(',')[0]
+
+            # With:
+            format_name = format_data.get('format_name', "N/A")
+            if 'mp4' in format_name.lower():
+                container_format = 'mp4'
+            else:
+                container_format = format_name.split(',')[0]
+
+            duration_seconds_float = float(format_data.get('duration', 0))
+            duration_seconds = int(duration_seconds_float)
+
+            # Process streams
+            for stream in probe['streams']:
+                if stream['codec_type'] == 'video':
+                    width = int(stream.get('width', 0))
+                    height = int(stream.get('height', 0))
+                    
+                    fps_str = stream.get('r_frame_rate', '')
+                    if fps_str and fps_str != '0/0':
+                        num, den = map(int, fps_str.split('/'))
+                        fps = num / den if den != 0 else 0.0
+                    
+                    total_frames = int(stream.get('nb_frames', 0))
+                    if total_frames == 0 and fps > 0 and duration_seconds_float > 0:
+                        total_frames = int(duration_seconds_float * fps)
+                    
+                    video_codec = stream.get('codec_name', "N/A")
+                    pixel_format = stream.get('pix_fmt', "N/A")
+                    video_bitrate = f"{int(int(stream.get('bit_rate', 0))/1000)}k"
+                    
+                elif stream['codec_type'] == 'audio':
+                    audio_codec = stream.get('codec_name', "N/A")
+                    audio_bitrate = stream.get('bit_rate', "N/A")
+                    if audio_bitrate != "N/A":
+                        audio_bitrate = f"{int(int(audio_bitrate)/1000)}k"
+
+            filename = os.path.basename(video_path)
+            
+            # Create full info string and JSON outputs
+            full_info = self.create_full_info_string(
+                video_path, width, height, fps, total_frames,
+                duration_seconds, duration_seconds_float, video_codec,
+                video_bitrate, pixel_format, audio_codec, audio_bitrate,
+                container_format
+            )
+            
+            full_info_json = self.create_json_output(
+                filename, video_path, width, height, fps, total_frames,
+                duration_seconds, duration_seconds_float, video_codec,
+                video_bitrate, pixel_format, audio_codec, audio_bitrate,
+                container_format
+            )
+
+            return (
+                filename,
+                video_path,
+                width,
+                height,
+                fps,
+                total_frames,
+                duration_seconds,
+                video_codec,
+                video_bitrate,
+                pixel_format,
+                audio_codec,
+                audio_bitrate,
+                container_format,
+                duration_seconds_float,
+                full_info,
+                full_info_json
+            )
+
+        except Exception as e:
+            raise RuntimeError(f"Error analyzing video with python-ffmpeg: {str(e)}")
+
+    def get_video_info(self, video_path: str, ffprobe_path: str, use_python_ffmpeg: bool):
+        """Get detailed information about a video file."""
+        video_path = os.path.abspath(video_path)
+        if not os.path.exists(video_path):
+            raise ValueError(f"Video file not found: {video_path}")
+
+        if use_python_ffmpeg:
+            return self.get_video_info_python_ffmpeg(video_path)
+
+        # Original ffmpeg/ffprobe implementation
+        probe_cmd = [
+            ffprobe_path,
+            '-v', 'quiet',
+            '-print_format', 'json',
+            '-show_format',
+            '-show_streams',
+            video_path
+        ]
+
+        info_cmd = [
+            ffprobe_path,
+            '-i', video_path,
+            '-hide_banner'
+        ]
+
+        try:
+            probe_result = subprocess.run(probe_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+            probe_data = json.loads(probe_result.stdout)
+            
+            info_result = subprocess.run(info_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+            ffmpeg_output = info_result.stderr
+
+            # Initialize variables with default values
+            width = 0
+            height = 0
+            fps = 0.0
+            total_frames = 0
+            duration_seconds = 0
+            duration_seconds_float = 0.0
+            video_codec = "N/A"
+            video_bitrate = "N/A"
+            pixel_format = "N/A"
+            audio_codec = "N/A"
+            audio_bitrate = "N/A"
+            container_format = "N/A"
+
+            # Extract information from probe data
+            if 'format' in probe_data:
+                format_data = probe_data['format']
+                # container_format = format_data.get('format_name', "N/A").split(',')[0]
+                container_format = format_data.get('format_name', "N/A").split(',')[0]
+                # With:
+                format_name = format_data.get('format_name', "N/A")
+                if 'mp4' in format_name.lower():
+                    container_format = 'mp4'
+                else:
+                    container_format = format_name.split(',')[0]
+                duration_seconds_float = float(format_data.get('duration', 0))
+                duration_seconds = int(duration_seconds_float)
+
+            # Process streams
+            for stream in probe_data.get('streams', []):
+                if stream['codec_type'] == 'video':
+                    width = int(stream.get('width', 0))
+                    height = int(stream.get('height', 0))
+                    
+                    fps_str = stream.get('r_frame_rate', '')
+                    if fps_str and fps_str != '0/0':
+                        num, den = map(int, fps_str.split('/'))
+                        fps = num / den if den != 0 else 0.0
+                    
+                    total_frames = int(stream.get('nb_frames', 0))
+                    if total_frames == 0 and fps > 0 and duration_seconds_float > 0:
+                        total_frames = int(duration_seconds_float * fps)
+                    
+                    video_codec = stream.get('codec_name', "N/A")
+                    pixel_format = stream.get('pix_fmt', "N/A")
+                    
+                elif stream['codec_type'] == 'audio':
+                    audio_codec = stream.get('codec_name', "N/A")
+                    audio_bitrate = stream.get('bit_rate', "N/A")
+                    if audio_bitrate != "N/A":
+                        audio_bitrate = f"{int(int(audio_bitrate)/1000)}k"
+
+            # Extract video bitrate from ffmpeg output
+            video_bitrate = self.extract_bitrate(ffmpeg_output)
+
+            filename = os.path.basename(video_path)
+
+            # Create full info string
+            full_info = self.create_full_info_string(
+                video_path, width, height, fps, total_frames,
+                duration_seconds, duration_seconds_float, video_codec,
+                video_bitrate, pixel_format, audio_codec, audio_bitrate,
+                container_format
+            )
+
+            # Create JSON output
+            full_info_json = self.create_json_output(
+                filename, video_path, width, height, fps, total_frames,
+                duration_seconds, duration_seconds_float, video_codec,
+                video_bitrate, pixel_format, audio_codec, audio_bitrate,
+                container_format
+            )
+
+            return (
+                filename,
+                video_path,
+                width,
+                height,
+                fps,
+                total_frames,
+                duration_seconds,
+                video_codec,
+                video_bitrate,
+                pixel_format,
+                audio_codec,
+                audio_bitrate,
+                container_format,
+                duration_seconds_float,
+                full_info,
+                full_info_json
+            )
+
+        except subprocess.CalledProcessError as e:
+            raise RuntimeError(f"Error running ffmpeg/ffprobe: {e.stderr}")
+        except json.JSONDecodeError:
+            raise RuntimeError("Error parsing ffprobe output")
+        except Exception as e:
+            raise RuntimeError(f"Error analyzing video: {str(e)}")
+
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        return float("NaN")

web/js/concat_videos.js

@@ -0,0 +1,116 @@
+import { app } from "../../../scripts/app.js";
+
+app.registerExtension({
+    name: "Bjornulf.ConcatVideos",
+    async nodeCreated(node) {
+        if (node.comfyClass === "Bjornulf_ConcatVideos") {
+            // Initialize properties if not already set
+            node.properties = node.properties || {};
+
+            // Default output filename
+            const defaultOutputFilename = "concatenated.mp4";
+
+            // Ensure `output_filename` is initialized in properties
+            if (!node.properties.output_filename) {
+                node.properties.output_filename = defaultOutputFilename;
+            }
+
+            // Store the original serialize/configure methods
+            const originalSerialize = node.serialize;
+            const originalConfigure = node.configure;
+
+            // Override serialize to save `output_filename` and inputs
+            node.serialize = function() {
+                const data = originalSerialize ? originalSerialize.call(this) : {};
+                data.video_inputs = this.inputs
+                    .filter(input => input.name.startsWith("video_path_"))
+                    .map(input => ({
+                        name: input.name,
+                        type: input.type,
+                        link: input.link || null,
+                    }));
+                data.properties = { ...this.properties };
+                return data;
+            };
+
+            // Override configure to restore `output_filename` and inputs
+            node.configure = function(data) {
+                if (originalConfigure) {
+                    originalConfigure.call(this, data);
+                }
+                if (data.video_inputs) {
+                    data.video_inputs.forEach(inputData => {
+                        if (!this.inputs.find(input => input.name === inputData.name)) {
+                            const newInput = this.addInput(inputData.name, inputData.type);
+                            newInput.link = inputData.link || null;
+                        }
+                    });
+                }
+                node.properties = { ...node.properties, ...data.properties };
+
+                // Ensure `output_filename` is always consistent
+                if (!node.properties.output_filename) {
+                    node.properties.output_filename = defaultOutputFilename;
+                }
+                return true;
+            };
+
+            const updateInputs = () => {
+                const initialWidth = node.size[0];
+                const numVideosWidget = node.widgets.find(w => w.name === "number_of_videos");
+                if (!numVideosWidget) return;
+
+                const numVideos = numVideosWidget.value;
+
+                // Store existing connections before modifying inputs
+                const existingConnections = {};
+                node.inputs.forEach(input => {
+                    if (input.link !== null) {
+                        existingConnections[input.name] = input.link;
+                    }
+                });
+
+                // Clear and update inputs
+                node.inputs = node.inputs.filter(input => !input.name.startsWith("video_path_"));
+                for (let i = 1; i <= numVideos; i++) {
+                    const inputName = `video_path_${i}`;
+                    const newInput = node.addInput(inputName, "STRING");
+                    if (existingConnections[inputName] !== undefined) {
+                        newInput.link = existingConnections[inputName];
+                    }
+                }
+
+                // Synchronize `output_filename` with properties and widget
+                const outputFilenameWidget = node.widgets.find(w => w.name === "output_filename");
+                if (outputFilenameWidget) {
+                    outputFilenameWidget.value = node.properties.output_filename;
+                }
+
+                // Adjust size and redraw
+                node.setSize(node.computeSize());
+                node.size[0] = Math.max(initialWidth, 200);
+                app.graph.setDirtyCanvas(true);
+            };
+
+            // Set up widget callbacks
+            const numVideosWidget = node.widgets.find(w => w.name === "number_of_videos");
+            if (numVideosWidget) {
+                numVideosWidget.callback = updateInputs;
+            }
+
+            // Ensure `output_filename` is properly initialized on node creation
+            let outputFilenameWidget = node.widgets.find(w => w.name === "output_filename");
+            if (!outputFilenameWidget) {
+                outputFilenameWidget = node.addWidget("string", "output_filename", node.properties.output_filename, value => {
+                    node.properties.output_filename = value || defaultOutputFilename;
+                });
+            } else {
+                // Synchronize widget value with properties
+                outputFilenameWidget.value = node.properties.output_filename || defaultOutputFilename;
+            }
+
+            // Initialize inputs on node creation
+            requestAnimationFrame(updateInputs);
+        }
+    }
+});

web/js/show_stuff.js

@@ -0,0 +1,385 @@
+import { app } from "../../../scripts/app.js";
+import { ComfyWidgets } from "../../../scripts/widgets.js";
+
+// Styles for the text area
+const textStyles = {
+  readOnly: true,
+  opacity: 1,
+  padding: "4px",
+  paddingLeft: "7px",
+  border: "1px solid #ccc",
+  borderRadius: "5px",
+  backgroundColor: "#222",
+  color: "Lime",
+  fontFamily: "Arial, sans-serif",
+  fontSize: "14px",
+  lineHeight: "1.4",
+  resize: "none",
+  overflowY: "auto",
+};
+
+app.registerExtension({
+  name: "Bjornulf.ShowStringText",
+  async beforeRegisterNodeDef(nodeType, nodeData, app) {
+    if (nodeData.name === "Bjornulf_ShowStringText") {
+      function populate(text) {
+        if (!Array.isArray(text)) {
+          console.warn("populate expects an array, got:", text);
+          return;
+        }
+
+        if (this.widgets) {
+          const pos = this.widgets.findIndex((w) => w.name === "text");
+          if (pos !== -1) {
+            for (let i = pos; i < this.widgets.length; i++) {
+              this.widgets[i].onRemove?.();
+            }
+            this.widgets.length = pos;
+          }
+        } else {
+          this.widgets = [];
+        }
+
+        text.forEach((list) => {
+          const existingWidget = this.widgets.find(
+            (w) => w.name === "text" && w.value === list
+          );
+          if (!existingWidget) {
+            const w = ComfyWidgets["STRING"](
+              this,
+              "text",
+              ["STRING", { multiline: true }],
+              app
+            ).widget;
+            w.inputEl.readOnly = true;
+            Object.assign(w.inputEl.style, textStyles);
+
+            // Determine color based on type
+            let color = "lime";
+
+            w.inputEl.style.color = color;
+            w.value = 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) {
+        const initialWidth = this.size[0];
+        onExecuted?.apply(this, arguments);
+        populate.call(this, message.text);
+        this.size[0] = Math.max(initialWidth, 200); // Ensure minimum width
+        // this.setSize(this.size[0], this.size[1]);
+      };
+
+    //   const onConfigure = nodeType.prototype.onConfigure;
+    //   nodeType.prototype.onConfigure = function () {
+    //       onConfigure?.apply(this, arguments);
+    //       if (this.widgets_values?.length) {
+    //           populate.call(this, this.widgets_values);
+    //       }
+    //   };
+    }
+  },
+});
+
+app.registerExtension({
+  name: "Bjornulf.ShowJson",
+  async beforeRegisterNodeDef(nodeType, nodeData, app) {
+    if (nodeData.name === "Bjornulf_ShowJson") {
+      function populate(text) {
+        if (!Array.isArray(text)) {
+          console.warn("populate expects an array, got:", text);
+          return;
+        }
+
+        if (this.widgets) {
+          const pos = this.widgets.findIndex((w) => w.name === "text");
+          if (pos !== -1) {
+            for (let i = pos; i < this.widgets.length; i++) {
+              this.widgets[i].onRemove?.();
+            }
+            this.widgets.length = pos;
+          }
+        } else {
+          this.widgets = [];
+        }
+
+        text.forEach((list) => {
+          const existingWidget = this.widgets.find(
+            (w) => w.name === "text" && w.value === list
+          );
+          if (!existingWidget) {
+            const w = ComfyWidgets["STRING"](
+              this,
+              "text",
+              ["STRING", { multiline: true }],
+              app
+            ).widget;
+            w.inputEl.readOnly = true;
+            Object.assign(w.inputEl.style, textStyles);
+
+            // Determine color based on type
+            let color = "pink";
+
+            w.inputEl.style.color = color;
+            w.value = 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) {
+        const initialWidth = this.size[0];
+        onExecuted?.apply(this, arguments);
+        populate.call(this, message.text);
+        this.size[0] = Math.max(initialWidth, 200); // Ensure minimum width
+        // this.setSize(this.size[0], this.size[1]);
+      };
+
+    //   const onConfigure = nodeType.prototype.onConfigure;
+    //   nodeType.prototype.onConfigure = function () {
+    //       onConfigure?.apply(this, arguments);
+    //       if (this.widgets_values?.length) {
+    //           populate.call(this, this.widgets_values);
+    //       }
+    //   };
+    }
+  },
+});
+
+app.registerExtension({
+  name: "Bjornulf.ShowInt",
+  async beforeRegisterNodeDef(nodeType, nodeData, app) {
+    if (nodeData.name === "Bjornulf_ShowInt") {
+      function populate(text) {
+        if (!Array.isArray(text)) {
+          console.warn("populate expects an array, got:", text);
+          return;
+        }
+
+        if (this.widgets) {
+          const pos = this.widgets.findIndex((w) => w.name === "text");
+          if (pos !== -1) {
+            for (let i = pos; i < this.widgets.length; i++) {
+              this.widgets[i].onRemove?.();
+            }
+            this.widgets.length = pos;
+          }
+        } else {
+          this.widgets = [];
+        }
+
+        text.forEach((list) => {
+          const existingWidget = this.widgets.find(
+            (w) => w.name === "text" && w.value === list
+          );
+          if (!existingWidget) {
+            const w = ComfyWidgets["STRING"](
+              this,
+              "text",
+              ["STRING", { multiline: true }],
+              app
+            ).widget;
+            w.inputEl.readOnly = true;
+            Object.assign(w.inputEl.style, textStyles);
+
+            // Determine color based on type
+            let color = "#0096FF";
+
+            w.inputEl.style.color = color;
+            w.value = 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);
+    //       }
+    //   };
+    }
+  },
+});
+
+app.registerExtension({
+  name: "Bjornulf.ShowFloat",
+  async beforeRegisterNodeDef(nodeType, nodeData, app) {
+    if (nodeData.name === "Bjornulf_ShowFloat") {
+      function populate(text) {
+        if (!Array.isArray(text)) {
+          console.warn("populate expects an array, got:", text);
+          return;
+        }
+
+        if (this.widgets) {
+          const pos = this.widgets.findIndex((w) => w.name === "text");
+          if (pos !== -1) {
+            for (let i = pos; i < this.widgets.length; i++) {
+              this.widgets[i].onRemove?.();
+            }
+            this.widgets.length = pos;
+          }
+        } else {
+          this.widgets = [];
+        }
+
+        text.forEach((list) => {
+          const existingWidget = this.widgets.find(
+            (w) => w.name === "text" && w.value === list
+          );
+          if (!existingWidget) {
+            const w = ComfyWidgets["STRING"](
+              this,
+              "text",
+              ["STRING", { multiline: true }],
+              app
+            ).widget;
+            w.inputEl.readOnly = true;
+            Object.assign(w.inputEl.style, textStyles);
+
+            // Determine color based on type
+            let color = "orange";
+
+            w.inputEl.style.color = color;
+            w.value = 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);
+    //       }
+    //   };
+    }
+  },
+});
+
+// app.registerExtension({
+//     name: "Bjornulf.ShowJson",
+//     async beforeRegisterNodeDef(nodeType, nodeData, app) {
+//         if (nodeData.name === "Bjornulf_ShowJson") {
+//             function populate(text) {
+//                 if (!Array.isArray(text)) {
+//                     console.warn("populate expects an array, got:", text);
+//                     return;
+//                 }
+
+//                 if (this.widgets) {
+//                     const pos = this.widgets.findIndex((w) => w.name === "text");
+//                     if (pos !== -1) {
+//                         for (let i = pos; i < this.widgets.length; i++) {
+//                             this.widgets[i].onRemove?.();
+//                         }
+//                         this.widgets.length = pos;
+//                     }
+//                 } else {
+//                     this.widgets = [];
+//                 }
+
+//                 text.forEach((list) => {
+//                     const existingWidget = this.widgets.find(w => w.name === "text" && w.value === list);
+//                     if (!existingWidget) {
+//                         const w = ComfyWidgets["STRING"](this, "text", ["STRING", { multiline: true }], app).widget;
+//                         w.inputEl.readOnly = true;
+//                         Object.assign(w.inputEl.style, textStyles);
+
+//                         // Determine color based on type
+//                         let color = 'Lime'; // Default color for strings
+//                         const value = list.toString().trim();
+
+//                         if (/^-?\d+$/.test(value)) {
+//                             color = '#0096FF'; // Integer
+//                         } else if (/^-?\d*\.?\d+$/.test(value)) {
+//                             color = 'orange'; // Float
+//                         } else if (value.startsWith("If-Else ERROR: ")) {
+//                             color = 'red'; // If-Else ERROR lines
+//                         } else if (value.startsWith("tensor(")) {
+//                             color = '#0096FF'; // Lines starting with "tensor("
+//                         }
+
+//                         w.inputEl.style.color = color;
+//                         w.value = 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);
+//                 }
+//             };
+//         }
+//     },
+// });

web/js/show_text.js

@@ -24,6 +24,11 @@ app.registerExtension({
     async beforeRegisterNodeDef(nodeType, nodeData, app) {
         if (nodeData.name === "Bjornulf_ShowText") {
             function populate(text) {
+                if (!Array.isArray(text)) {
+                    console.warn("populate expects an array, got:", text);
+                    return;
+                }
+            
                 if (this.widgets) {
                     const pos = this.widgets.findIndex((w) => w.name === "text");
                     if (pos !== -1) {
@@ -32,30 +37,35 @@ app.registerExtension({
                         }
                         this.widgets.length = pos;
                     }
+                } else {
+                    this.widgets = [];
                 }
             
-                for (const list of text) {
-                    const w = ComfyWidgets["STRING"](this, "text", ["STRING", { multiline: true }], app).widget;
-                    w.inputEl.readOnly = true;
-                    Object.assign(w.inputEl.style, textAreaStyles);
+                text.forEach((list) => {
+                    const existingWidget = this.widgets.find(w => w.name === "text" && w.value === list);
+                    if (!existingWidget) {
+                        const w = ComfyWidgets["STRING"](this, "text", ["STRING", { multiline: true }], app).widget;
+                        w.inputEl.readOnly = true;
+                        Object.assign(w.inputEl.style, textAreaStyles);
             
-                    // Improved type detection
-                    let color = 'Lime'; // Default color for strings
-                    const value = list.toString().trim();
+                        // Determine color based on type
+                        let color = 'Lime'; // Default color for strings
+                        const value = list.toString().trim();
             
-                    if (/^-?\d+$/.test(value)) {
-                        color = '#0096FF'; // Integer
-                    } else if (/^-?\d*\.?\d+$/.test(value)) {
-                        color = 'orange'; // Float
-                    } else if (value.startsWith("If-Else ERROR: ")) {
-                        color = 'red'; // If-Else ERROR lines
-                    } else if (value.startsWith("tensor(")) {
-                        color = '#0096FF'; // Lines starting with "tensor("
+                        if (/^-?\d+$/.test(value)) {
+                            color = '#0096FF'; // Integer
+                        } else if (/^-?\d*\.?\d+$/.test(value)) {
+                            color = 'orange'; // Float
+                        } else if (value.startsWith("If-Else ERROR: ")) {
+                            color = 'red'; // If-Else ERROR lines
+                        } else if (value.startsWith("tensor(")) {
+                            color = '#0096FF'; // Lines starting with "tensor("
+                        }
+            
+                        w.inputEl.style.color = color;
+                        w.value = list;
                     }
-                    
-                    w.inputEl.style.color = color;
-                    w.value = list;
-                }                
+                });
             
                 requestAnimationFrame(() => {
                     const sz = this.computeSize();
@@ -66,6 +76,7 @@ app.registerExtension({
                 });
             }
             
+
             // 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) {