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Upload phantom_vace/phantom_example_workflow.json with huggingface_hub

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+ "\n\n**diffusion_models** \n- [Phantom_Wan_14B_FusionX-GGUF](https://huggingface.co/QuantStack/Phantom_Wan_14B_FusionX-GGUF/tree/main)\n- [Phantom_Wan_14B-GGUF](https://huggingface.co/QuantStack/Phantom_Wan_14B-GGUF/tree/main)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors?download=true)\n\n**Text encoders** Chose one of following model\n- [umt5_xxl_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp16.safetensors?download=true)\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors?download=true)\n- [umt5-xxl-encoder-gguf](https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main)\n\n> You can choose between fp16, fp8 and ggufs.\n\n**CausVidLora(Optional for a lot more speed)**\n- [Wan21_CausVid_14B_T2V_lora_rank32_v1_5_no_first_block.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan21_CausVid_14B_T2V_lora_rank32_v1_5_no_first_block.safetensors?download=true) (not needed for FusionX models as it's already been merged)\n\n\n\nFile save location\n\n```v\nComfyUI/\n├── models/\n│ ├── loras/\n│ │ └─── Wan21_CausVid_14B_T2V_lora_rank32_v1_5_no_first_block.safetensors\n│ ├── unet/\n│ │ └─── Phantom_Wan_14B-Qx_x_x.gguf\n│ ├── text_encoders/\n│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors # or GGUF (umt5-xxl-encoder-Qx_x.gguf)\n│ └── vae/\n│ └── wan_2.1_vae.safetensors\n\n```\n"
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