Qwedit 2511 - Single

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        "## Main Model\n\nGoes in models/diffusion_models\n\nFP8 recommended, it's much higher quality than the Q8 GGUF.\n\n[qwen_image_edit_2511_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2511_fp8mixed.safetensors)\n\nRequires 22GB VRAM\n\n--OR--\n\nIf you're RAM limited\n\n[GGUF Versions](https://huggingface.co/unsloth/Qwen-Image-Edit-2511-GGUF/tree/main)\n\nRequires [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) extension, load the model with \"UNET Loader\" node\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\nGoes in models/text_encoders\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\nGoes in models/vae\n\n \n\n## Non-direct Model Repo Links\n\nhttps://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/tree/main\n\nhttps://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main"
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        "**Enhance with Double Ref:**\n> When true, the input image is given to the model **twice**. This noticeably increases the quality of the results in every way. Better prompt adherence, better detail, better consistency, sharper images.\n\n> Downside: generation takes about 50% longer. If you want speed and don't mind the quality drop, you can switch this off.\n\n**Scale Input Image:**\n\n> When true, the input image is scaled by its **longest edge** to the length specified in the corresponding input box.\n\n> Additionally, the dimensions are forced to be divisible by 16 (required for Qwedit) regardless of whether this is set to true or false. It will **crop** the image to accomplish this, but you can change it to pad the image with black instead by changing the \"fit\" in the LayerUtility node above the image.\n\n> It's a good idea to stick with common values, such as: 1920, 1600, 1440, 1280.\n\n> Qwedit can *easily* handle images up to ~3 megapixels (e.g. 1920x1440), but higher than that it can be iffy. Also note that a 3 mpx image takes 4 times longer to process than a 1 mpx image.\n\n> Some compositions are confusing for the model at high resolution. If the model keeps messing up at 1920, try going a little lower. You never need to go lower than 1440 (unless you want to).\n\n**Custom Output Dimensions:**\n\n> When true, uses the custom dimensions you specify in the corresponding box for the output image.\n\n> When false, it uses the same dimensions as the input image (after it's been resized).\n\n> It helps to use common aspect ratios like 2:3, 3:4, 4:5, 16:9, etc.\n\n> The model isn't great at wide aspect ratios, and is more likely to mess up anatomy. Recommended to stick to 1440p when doing wide images.\n\n> The size of your input image still matters. If your input is 1024x1024 and your output is 1440x1440, details that carry over from the first image may be blurry or lack detail.\n\nHere's a handy resolution chart for common aspect ratios, all values divisible by 16: [https://ibb.co/S7rKtzfT](https://ibb.co/S7rKtzfT)"
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