wan-gguf

Model overview

- drag **gguf** to > `./ComfyUI/models/diffusion_models` - drag **t5xxl-um** to > `./ComfyUI/models/text_encoders` - drag **vae** to > `./ComfyUI/models/vae` - for i2v model, drag **clip-vision-h** to > `./ComfyUI/models/clip_vision` - run the .bat file in the main directory (assume you are using gguf pack below) - if you opt to use **fp8 scaled umt5xxl** encoder (if applies to any fp8 scale t5 actually), please use cpu offload (switch from default to **cpu** under **device** in **gguf clip loader**; won't affect speed); btw, it works fine for both **gguf umt5xxl** and **gguf vae** - drag any demo video (below) to > your browser for workflow - `pig` is a lazy architecture for gguf node; it applies to all model, encoder and vae gguf file(s); if you try to run it in comfyui-gguf node, you might need to manually add `pig` in it's IMG_ARCH_LIST (under loader.py); easier than you edit the gguf file itself; btw, model architecture which compatible with comfyui-gguf, including `wan`, should work in gguf node - 1.3b model: t2v, vace **gguf** is working fine; good for old or low end machine

Key features

特点摘要待依据来源补齐，不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

Frequently asked questions

Sources & traceability

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。