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  license: apache-2.0
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  base_model:
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  - ZuluVision/MoviiGen1.1
 
 
 
 
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  ---
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- Highly experimental, every feedback is welcome (;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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  base_model:
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  - ZuluVision/MoviiGen1.1
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+ tags:
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+ - video
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+ - video-generation
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+ pipeline_tag: text-to-video
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  ---
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+ [**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)
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+ This is an experimental GGUF conversion of [ZuluVision/MoviiGen1.1](https://huggingface.co/ZuluVision/MoviiGen1.1) with integrated VACE addon.
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+ 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.
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+ The model files can be used with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node.
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+ Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions.
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+ The VAE can be downloaded from [this repository by Kijai](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors)
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+ 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.
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+ For conversion I used the conversion scripts from [city96](https://huggingface.co/city96)