Instructions to use geceff/Wan2.2-Custom-Models-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use geceff/Wan2.2-Custom-Models-GGUF with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Download README.md from geceff/Wan2.2-Custom-Models-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 925 Bytes
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https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/a60b41504e4c8caca7c5515aa7d333114939fb06/README.md
- Command line
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hf download hf://geceff/Wan2.2-Custom-Models-GGUF@a60b41504e4c8caca7c5515aa7d333114939fb06/README.md
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curl -L -o README.md https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/a60b41504e4c8caca7c5515aa7d333114939fb06/README.md
925 Bytes
🚀 Wan2.2 Custom GGUF (Tesla T4 Optimized)
This repository provides highly optimized Wan2.2 GGUF custom models, fine-tuned for running efficiently on memory-constrained environments like Google Colab (Tesla T4).
⚡ Optimal Settings for ComfyUI
To achieve perfect video motion without artifacts or image degradation (no fried or oversaturated visuals), we strongly recommend using the following parameters:
- Sampling Steps:
4(When using Wan2.2 Lightning V2) - CFG Scale:
1.0(Crucial for preventing burnt images) - High Noise Steps:
2or3(To lock in strong motion and structure before the Lightning layer clears noise) - Sampler / Scheduler:
euler+simple - Frames:
120(Smoothly generates long videos at 16 fps) - Frame Interpolation: Use
ComfyUI-Frame-Interpolation(by is99999) to upscale your final output from 16 fps to 30 fps for ultimate smoothness.