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@ -13,10 +13,11 @@ language:
license: apache-2.0 license: apache-2.0
--- ---
This is a merge of [Wan-AI/Wan2.1-VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B) and [vrgamedevgirl84/Wan14BT2VFusionX](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX) to provide additional VACE compatibility. This is a merge of [Wan-AI/Wan2.1-VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B) scopes and [vrgamedevgirl84/Wan14BT2VFusionX](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX).
The process involved extracting VACE scopes and injecting into the target models. The process involved extracting VACE scopes and injecting into the target models.
FP8 model weight was then converted to specific FP8 formats (E4M3FN and E5M2) using a custom ComfyUI node developed by lum3on, available at the [ComfyUI-ModelQuantizer](https://github.com/lum3on/ComfyUI-ModelQuantizer) GitHub repository.
- FP8 model weight was then converted to specific FP8 formats (E4M3FN and E5M2) using ComfyUI custom node [ComfyUI-ModelQuantizer](https://github.com/lum3on/ComfyUI-ModelQuantizer) by [lum3on](https://github.com/lum3on).
## Usage ## Usage
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## Reference ## Reference
- For more information about the GGUF-quantized versions, refer to [QuantStack/Wan-14B-T2V-FusionX-VACE-GGUF](https://huggingface.co/QuantStack/Wan-14B-T2V-FusionX-VACE-GGUF), where the quantization process is explained. - For more information about the GGUF-quantized versions, refer to [QuantStack/Wan-14B-T2V-FusionX-VACE-GGUF](https://huggingface.co/QuantStack/Wan-14B-T2V-FusionX-VACE-GGUF).
- For an overview of Safetensors format, please see the [Safetensors](https://huggingface.co/docs/safetensors/index). - For an overview of Safetensors format, please see the [Safetensors](https://huggingface.co/docs/safetensors/index).