FLUX.2 Dev GGUF Workflow for ComfyUI, tested on RTX 3060 (12GB)<div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/dcekWAbgDXg" start="0"></iframe></div>Main Diffusion Model (GGUF) Model: FLUX.2-dev-gguf Download:<a target="_blank" rel="ugc" href="https://huggingface.co/city96/FLUX.2-dev-gguf">https://huggingface.co/city96/FLUX.2-dev-gguf</a>Put it here: <code>ComfyUI/models/diffusion_models/</code>Note: Choose the quantization that matches your GPU VRAM:<pre><code>Q2_K → ~13 GB file — 4GB VRAM (slow, ~3 hours on laptop)
Q3_K_M → ~16 GB file — 6–8 GB VRAM
Q4_K_M → ~20 GB file — 8–10 GB VRAM
Q5_K_M → ~24 GB file — 12 GB VRAM (recommended for RTX 3060)
Q8 → ~38 GB file — 16 GB+ VRAM (best quality)</code></pre><hr />VAE flux2-vae.safetensors Download: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors">https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors</a>Put it here: <code>ComfyUI/models/vae/</code><hr />Text Encoder mistral_3_small_flux2_fp8.safetensors Download: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/text_encoders/mistral_3_small_flux2_fp8.safetensors">https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/text_encoders/mistral_3_small_flux2_fp8.safetensors</a>Put it here: <code>ComfyUI/models/text_encoders/</code>Note: Use the fp8 version to save VRAM. Use bf16 if you have headroom and want slightly better quality.<hr />Required Custom Nodes Install via ComfyUI Manager or clone manually into <code>ComfyUI/custom_nodes/</code>ComfyUI-GGUF <a target="_blank" rel="ugc" href="https://github.com/city96/ComfyUI-GGUF">https://github.com/city96/ComfyUI-GGUF</a>

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