---

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
• gguf-connector

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\ComfyUI00003.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\ComfyUI00002.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\ComfyUI00001.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\ComfyUI00004.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\ComfyUI00005.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\ComfyUI00006.webp

---

gguf quantized version of wan 1.3b models

• run it straight with gguf-connector
• opt a gguf file in the current directory to interact with by:

ggc w2

> >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): _ >>>

run it with gguf-node via comfyui

• drag wan to > ./ComfyUI/models/diffusionmodels
• drag umt5 to > ./ComfyUI/models/textencoders
• drag pig to > ./ComfyUI/models/vae

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

reference

• 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)