wan-1.3b-gguf

模型介绍

- run it straight with `gguf-connector` - opt a `gguf` file in the current directory to interact with by: > >GGUF file(s) available. Select which one to use: > >1. wan2.1-t2v-1.3b-q4_0.gguf >2. wan2.1-t2v-1.3b-q8_0.gguf >3. wan2.1-vace-1.3b-q4_0.gguf >4. wan2.1-vace-1.3b-q8_0.gguf > >Enter your choice (1 to 4): _ >>> - drag **wan** to > `./ComfyUI/models/diffusion_models` - drag **umt5** to > `./ComfyUI/models/text_encoders` - drag **pig** to > `./ComfyUI/models/vae` - `wan` architecture; should work on both comfyui-gguf and gguf nodes - full set gguf works right away (model + encoder + vae); gguf node is recommended for full gguf - vace model is recommended, since it doesn't need vision clip to work (for i2v and v2v) and run faster than fun model a lot, according to the initial test results - upgrade your node for umt5 gguf encoder support - note: for umt5 gguf, you might encounter oom after rebuilding your tokenizer in the first prompt (once built the tokenizer alive during the session; before you kill it); don't panic, prompt again it should work - base model from wan-ai - comfyui from comfyanonymous - comfyui-gguf city96 (special thanks; fully compatible) - pig architecture from connector - gguf-node (pypi|repo|pack) - gguf-connector (pypi)

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。