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@ -13,10 +13,11 @@ language:
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.
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
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## 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).