| --- |
| license: apache-2.0 |
| library_name: gguf |
| base_model: |
| - Wan-AI/Wan2.1-VACE-14B |
| tags: |
| - video |
| - video-generation |
| pipeline_tag: text-to-video |
| --- |
| |
| [**Example workflow**](https://huggingface.co/QuantStack/Wan2.1-VACE-14B-GGUF/blob/main/vace_v2v_example_workflow.json) - based on the [Comfyui example workflow](https://docs.comfy.org/tutorials/video/wan/vace) |
|
|
| This is a direct GGUF conversion of [Wan-AI/Wan2.1-VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B) |
|
|
| All quants are created from the FP32 base file, though I only uploaded the Q8_0 and less, if you want the F16 or BF16 one I would upload it per request. |
| |
| The model files can be used with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. |
| |
| Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions. |
| |
| The VAE can be downloaded from [this repository by Kijai](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors) |
| |
| Please refer to [this chart](https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard) for a basic overview of quantization types. |
| |
| For conversion I used the conversion scripts from [city96](https://huggingface.co/city96) |
