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settings).\n\n**Files** (put them in the folders shown):\n- [qwen-image-Q4_K_M.gguf](https://huggingface.co/city96/Qwen-Image-gguf/blob/main/qwen-image-Q4_K_M.gguf) → `models/unet` (13.1 GB)\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors) → `models/text_encoders` (9.4 GB)\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors) → `models/vae` (0.2 GB)\n\nGGUF files need the **ComfyUI-GGUF** custom node (install it from the Manager).\n\nDoes it fit your GPU? Check: https://vramready.com/models/qwen-image/"],"widgets_values_named":{"text":"## Qwen-Image — GGUF Q4_K_M\nTested on an RTX 5060 Ti 16 GB with 32 GB RAM by [VRAM Ready](https://vramready.com/models/qwen-image/).\n\n**Measured:** 123.3 s per 1024×1024 image (20 steps, CFG 2.5), peak VRAM 15.7 GB (ComfyUI, default settings).\n\n**Files** (put them in the folders shown):\n- [qwen-image-Q4_K_M.gguf](https://huggingface.co/city96/Qwen-Image-gguf/blob/main/qwen-image-Q4_K_M.gguf) → `models/unet` (13.1 GB)\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors) → `models/text_encoders` (9.4 GB)\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors) → `models/vae` (0.2 GB)\n\nGGUF files need the **ComfyUI-GGUF** custom node (install it from the Manager).\n\nDoes it fit your GPU? Check: https://vramready.com/models/qwen-image/"},"color":"#432","bgcolor":"#653"}],"links":[[11,1,0,2,0,"MODEL"],[12,3,0,5,0,"CLIP"],[13,3,0,6,0,"CLIP"],[14,2,0,8,0,"MODEL"],[15,5,0,8,1,"CONDITIONING"],[16,6,0,8,2,"CONDITIONING"],[17,7,0,8,3,"LATENT"],[18,8,0,9,0,"LATENT"],[19,4,0,9,1,"VAE"],[20,9,0,10,0,"IMAGE"]],"groups":[],"config":{},"extra":{"ds":{"scale":0.65,"offset":[520,60]},"vramready":{"source":"https://vramready.com/workflows/","tested_on":"RTX 5060 Ti 16 GB, 32 GB RAM, ComfyUI 0.38.1"}},"version":0.4}