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https://hf-mirror.com/QuantStack/Wan2.1_T2V_14B_FusionX_VACE
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2.0 KiB
2.0 KiB
base_model, base_model_relation, tags, language, license
| base_model | base_model_relation | tags | language | license | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
merge |
|
|
apache-2.0 |
This is a merge of Wan-AI/Wan2.1-VACE-14B and vrgamedevgirl84/Wan14BT2VFusionX to provide additional VACE compatibility.
The process involved extracting VACE scopes and injecting into the target models.
Usage
The model files can be used in ComfyUI with the WanVaceToVideo node. Place the required model(s) in the following folders:
| Type | Name | Location | Download |
|---|---|---|---|
| Main Model | Wan-14B-T2V-FusionX-VACE | ComfyUI/models/diffusion_models |
Safetensors (this repo) |
| Text Encoder | umt5-xxl-encoder | ComfyUI/models/text_encoders |
Safetensors / GGUF |
| VAE | Wan2_1_VAE_bf16 | ComfyUI/models/vae |
Safetensors |
Notes
All original licenses and restrictions from the base models still apply.
Reference
- For more information about the GGUF-quantized versions, refer to QuantStack/Wan-14B-T2V-FusionX-VACE-GGUF, where the quantization process is explained.
- For an overview of Safetensors format, please see the Safetensors.