---
license: apache-2.0
language:
- en
base_model:
- Wan-AI/Wan2.1-VACE-1.3B
- Wan-AI/Wan2.1-T2V-1.3B
pipeline_tag: text-to-video
tags:
- gguf-node
widget:
- text: >-
    a pig moving quickly in a beautiful winter scenery nature trees sunset
    tracking camera
  parameters:
    negative_prompt: blurry ugly bad
  output:
    url: samples\ComfyUI_00003_.webp
- text: >-
    a pig moving quickly in a beautiful winter scenery nature trees sunset
    tracking camera
  parameters:
    negative_prompt: blurry ugly bad
  output:
    url: samples\ComfyUI_00002_.webp
- text: >-
    a pig moving quickly in a beautiful winter scenery nature trees sunset
    tracking camera
  parameters:
    negative_prompt: blurry ugly bad
  output:
    url: samples\ComfyUI_00001_.webp
- text: >-
    a pig moving quickly in a beautiful winter scenery nature trees sunset
    tracking camera
  parameters:
    negative_prompt: blurry ugly bad
  output:
    url: samples\ComfyUI_00004_.webp
- text: >-
    a pig moving quickly in a beautiful winter scenery nature trees sunset
    tracking camera
  parameters:
    negative_prompt: blurry ugly bad
  output:
    url: samples\ComfyUI_00005_.webp
- text: >-
    a pig moving quickly in a beautiful winter scenery nature trees sunset
    tracking camera
  parameters:
    negative_prompt: blurry ugly bad
  output:
    url: samples\ComfyUI_00006_.webp
---
# **gguf quantized version of wan 1.3b models**
- drag **wan** to > `./ComfyUI/models/diffusion_models`
- drag **umt5** to > `./ComfyUI/models/text_encoders`
- drag **pig** to > `./ComfyUI/models/vae`
<Gallery />
### **review**
- `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
![screenshot](https://raw.githubusercontent.com/calcuis/comfy/master/wan-gguf.png)
### **reference**
- base model from [wan-ai](https://huggingface.co/Wan-AI)
- comfyui from [comfyanonymous](https://github.com/comfyanonymous/ComfyUI)
- comfyui-gguf [city96](https://github.com/city96/ComfyUI-GGUF) (special thanks; fully compatible)
- pig architecture from [connector](https://huggingface.co/connector)
- gguf-node ([pypi](https://pypi.org/project/gguf-node)|[repo](https://github.com/calcuis/gguf)|[pack](https://github.com/calcuis/gguf/releases))