| --- |
| 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\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** |
| - 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/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 |
|  |
| ### **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)) |
| - gguf-connector ([pypi](https://pypi.org/project/gguf-connector)) |
