thimpat-ThimPatUtils/README.md

🎥 ComfyUI Multimedia Utilities

A collection of essential utility nodes for handling image sequences, video, audio, and synchronized data within ComfyUI workflows.

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🌟 Nodes Included

Node Display Name	Class Name	Description	Category
🧩 Extract Images from LatentSync	ExtractImagesFromLatentSync	Synchronously extracts and saves a sequence of images from a latent space sequence.	video/extract
🎵 Extract Audio Info	ExtractAudioInfo	Reads an audio file and outputs key information such as sample rate, duration, and channels.	audio/info
📐 Resize Image Sequence	ResizeVideoFrames	Resizes each image in an input sequence to a specified width and height.	video/transform

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⬇️ Installation

Method 1: Using ComfyUI Manager (Recommended)

1. Open the ComfyUI Manager.
2. Click Install Custom Nodes.
3. Search for Multimedia Utilities.
4. Click Install.
5. Restart ComfyUI to load the new nodes.

Method 2: Manual Installation (Git Clone)

1. Navigate to your ComfyUI installation’s custom_nodes directory:

   cd path/to/ComfyUI/custom_nodes
   

2. Clone this repository:

   git clone https://github.com/thimpat/ThimPatUtils.git
   

3. Install the required Python dependencies into your ComfyUI environment:

   # Example (using embedded Python):
   # path/to/ComfyUI/python_embedded/python.exe -m pip install -r ThimPatUtils/requirements.txt
   

4. Restart ComfyUI.

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⚙️ Usage & Node Details

1. 🧩 Extract Images from LatentSync

This node takes a sequence of latents (for example, from a latent‐video model) and produces a synchronized list of decoded images.

• Inputs:
  • LATENT (Sequence of latents)
  • filename_prefix (string)
  • save_output (boolean)
• Outputs:
  • IMAGE (Sequence of decoded images)

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2. 🎵 Extract Audio Info

Quickly inspect an audio file’s metadata before feeding it into a generation or editing pipeline.

• Inputs:
  • audio_path (string, path to the audio file)
• Outputs:
  • duration (float)
  • sample_rate (int)
  • channels (int)

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3. 📐 Resize Image Sequence

Rescales each image in an input sequence—ideal when a downstream node (e.g., a VAE or model) requires a specific resolution.

• Inputs:
  • images (Image sequence)
  • width (int)
  • height (int)
  • interpolation (string; options: bicubic, nearest, etc.)
• Outputs:
  • IMAGE (Resized image sequence)

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🤝 Contribution

If you have ideas for new utilities or spot a bug, please open an issue or submit a Pull Request. We welcome your feedback and improvements!

Author

Find my other projects on https://perspectivedev.com/gb/market.html#/authors/1