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π 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).
β‘ 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.
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