mirror of
https://hf-mirror.com/QuantStack/Wan2.1_T2V_14B_FusionX_VACE
synced 2026-04-02 19:12:56 +08:00
40 lines
2.2 KiB
Markdown
40 lines
2.2 KiB
Markdown
---
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base_model:
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- Wan-AI/Wan2.1-VACE-14B
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- vrgamedevgirl84/Wan14BT2VFusioniX
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base_model_relation: merge
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tags:
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- text-to-video
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- image-to-video
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- video-to-video
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- merge
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language:
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- en
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license: apache-2.0
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---
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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.
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The process involved extracting VACE scopes and injecting into the target models.
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Model weights were directly 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.
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## Usage
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The model files can be used in [ComfyUI](https://github.com/comfyanonymous/ComfyUI/) with the WanVaceToVideo node. Place the required model(s) in the following folders:
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| Type | Name | Location | Download |
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| ------------ | ----------------------------- | --------------------------------- | ----------------------- |
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| Main Model | Wan-14B-T2V-FusionX-VACE | `ComfyUI/models/diffusion_models` | Safetensors (this repo) |
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| Text Encoder | umt5-xxl-encoder | `ComfyUI/models/text_encoders` | [Safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/text_encoders) / [GGUF](https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main) |
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| VAE | Wan2_1_VAE_bf16 | `ComfyUI/models/vae` | [Safetensors](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors) |
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[**ComfyUI example workflow**](https://docs.comfy.org/tutorials/video/wan/vace)
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### Notes
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*All original licenses and restrictions from the base models still apply.*
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## Reference
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- 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.
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- For an overview of Safetensors format, please see the [Safetensors](https://huggingface.co/docs/safetensors/index). |