Upload Qwen_Image_Distill.json

Qwen_Image_Distill.json

@@ -0,0 +1,743 @@
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+        "[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image) | [教程](https://docs.comfy.org/zh-CN/tutorials/image/qwen/qwen-image)\n\n\n## Model links\n\nYou can find all the models on [Huggingface](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) or [Modelscope](https://modelscope.cn/models/Comfy-Org/Qwen-Image_ComfyUI/files)\n\n[Qwen-Image distll](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/non_official/diffusion_models)\n\n**diffusion model**\n\n- [qwen_image_distill_full_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/non_official/diffusion_models/qwen_image_distill_full_fp8_e4m3fn.safetensors)\n\n**text encoder**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 diffusion_models/\n│   │   └── qwen_image_distill_full_fp8_e4m3fn.safetensors\n│   ├── 📂 vae/\n│   │   └── qwen_image_vae.safetensors\n│   └── 📂 text_encoders/\n│       └── qwen_2.5_vl_7b_fp8_scaled.safetensors\n```\n"
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+        "A realistic Plato statue is drinking beer, showing an extremely comfortable feeling. \n\nOn the left is a piece of minimalist text:\nFirst line: \"Qwen-Image distilled version\"\nSecond line: \"Faster inference\"\nBold font, sans-serif, white.\n\nGolden scarf, black sunglasses, statue, Klein blue background, master, artwork, ultra-high definition, 32k, simple."
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+        "The original author of the [distilled version](https://modelscope.cn/models/DiffSynth-Studio/Qwen-Image-Distill-Full/summary) recommends using 15 steps with cfg 1.0.\n\nAccording to tests, this distilled version also performs well at 10 steps with cfg 1.0. You can choose euler or res_multistep according to your desired image type."
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