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        "## FLUX.1 [schnell] — GGUF Q8_0\nTested on an RTX 5060 Ti 16 GB with 32 GB RAM by [VRAM Ready](https://vramready.com/models/flux-1-schnell/).\n\n**Measured:** 9.4 s per 1024×1024 image, peak VRAM 15.1 GB (ComfyUI, default settings).\n\n**Files** (put them in the folders shown):\n- [flux1-schnell-Q8_0.gguf](https://huggingface.co/city96/FLUX.1-schnell-gguf/blob/main/flux1-schnell-Q8_0.gguf) → `models/diffusion_models` (12.7 GB)\n- [t5xxl_fp8_e4m3fn.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/t5xxl_fp8_e4m3fn.safetensors) → `models/text_encoders` (4.9 GB)\n- [clip_l.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/clip_l.safetensors) → `models/text_encoders` (0.2 GB)\n- [ae.safetensors](https://huggingface.co/Comfy-Org/Lumina_Image_2.0_Repackaged/blob/main/split_files/vae/ae.safetensors) → `models/vae` (0.3 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/flux-1-schnell/"
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        "text": "## FLUX.1 [schnell] — GGUF Q8_0\nTested on an RTX 5060 Ti 16 GB with 32 GB RAM by [VRAM Ready](https://vramready.com/models/flux-1-schnell/).\n\n**Measured:** 9.4 s per 1024×1024 image, peak VRAM 15.1 GB (ComfyUI, default settings).\n\n**Files** (put them in the folders shown):\n- [flux1-schnell-Q8_0.gguf](https://huggingface.co/city96/FLUX.1-schnell-gguf/blob/main/flux1-schnell-Q8_0.gguf) → `models/diffusion_models` (12.7 GB)\n- [t5xxl_fp8_e4m3fn.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/t5xxl_fp8_e4m3fn.safetensors) → `models/text_encoders` (4.9 GB)\n- [clip_l.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/clip_l.safetensors) → `models/text_encoders` (0.2 GB)\n- [ae.safetensors](https://huggingface.co/Comfy-Org/Lumina_Image_2.0_Repackaged/blob/main/split_files/vae/ae.safetensors) → `models/vae` (0.3 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/flux-1-schnell/"
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