wan-gguf

模型介绍

- 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

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

公开评测与运行配置

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。

常见问题

资料来源与可追溯记录

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。