Compressing Wan2.2 to Run on a Single GPU
Certain-Will-2769 · reddit · 2026-07-13
This post shares a technical article and tools for compressing Wan2.2. The core idea is to compress high-noise experts into low-noise experts, combined with LoRA and NVFP4 quantization to reduce inference costs.
Key points include:
- Creating a compressed version of Wan2.2 using publicly available weights via LoRA
- Targeting the compression of the video generation model to run on a single RTX 5090
- Detailed explanations available on TheStage AI blog
- Usable nodes already available for ComfyUI in the ComfyUI-Qlip repository
This is a practical guide combining model compression methods with deployment tools.
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