2025-10-09 22:43:45 +01:00
2025-10-09 19:27:37 +01:00
2025-10-09 22:43:45 +01:00
2025-10-09 19:27:37 +01:00
2025-10-09 19:27:37 +01:00
2025-10-09 19:27:37 +01:00
2025-10-09 22:43:45 +01:00
2025-10-09 19:27:37 +01:00
2025-10-09 19:27:37 +01:00
2025-10-09 19:27:37 +01:00
2025-10-09 19:27:37 +01:00
2025-10-09 22:43:45 +01:00

ComfyUI-WanVideoWrapper_QQ

A collection of custom nodes for ComfyUI providing video manipulation, LoRA loading, path animation, and visual drawing tools for WanVideo workflows.

Available Nodes

Node List

Spline Editor & Other nodes

Spline Editor

Features

  • Power LoRA Loader: Advanced LoRA loading with High/Low pair detection, block selection, and custom UI
  • Power Spline Editors: Multi-layer canvas-based path drawing with interpolation modes (linear, cardinal, basis, points)
  • Video Manipulation: Speed adjustment, frame extraction, video merging, and frame replacement
  • Path Animation: Draw shapes (circle/square/triangle) along animated paths with easing functions
  • Image-to-Video Encoding: TAEHV (Tiny AutoEncoder for Hunyuan Video) with temporal feathering and memory-efficient modes
  • Cache Management: Sample caching for faster workflow iteration
  • VAE Frame Replacement: Replace specific frames in VAE-encoded video latents

Installation

  1. Navigate to your ComfyUI custom nodes directory:
cd ComfyUI/custom_nodes/
  1. Clone this repository:
git clone https://github.com/siraxe/ComfyUI-WanVideoWrapper_QQ.git
  1. Restart ComfyUI

Node Categories

All nodes are organized under the WanVideoWrapper_QQ category with the following types:

  • Video Processing: Frame manipulation, speed control, merging, and extraction
  • LoRA Tools: Power LoRA Loader with advanced configuration options
  • Path Animation: Spline editors and shape drawing on paths
  • Encoding: Image-to-video encoding with temporal conditioning
  • Utilities: Cache management, frame configuration, and VAE utilities

Requirements

  • ComfyUI (latest version recommended)
  • PyTorch with CUDA support (for GPU acceleration)
  • Standard ComfyUI dependencies

Credits

Experimental node package for WanVideo workflows in ComfyUI.

Special Thanks

S
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JavaScript 50%
Python 50%