FLUX.2 Dev GGUF (Low VRAM) (Simple)
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モデル説明
FLUX.2 Dev GGUF Workflow for ComfyUI, tested on RTX 3060 (12GB)
Main Diffusion Model (GGUF) Model: FLUX.2-dev-gguf Download:
https://huggingface.co/city96/FLUX.2-dev-gguf
Put it here: ComfyUI/models/diffusion_models/
Note: Choose the quantization that matches your GPU VRAM:
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)VAE flux2-vae.safetensors Download: https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors
Put it here: ComfyUI/models/vae/
Text Encoder mistral_3_small_flux2_fp8.safetensors Download: https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/text_encoders/mistral_3_small_flux2_fp8.safetensors
Put it here: ComfyUI/models/text_encoders/
Note: Use the fp8 version to save VRAM. Use bf16 if you have headroom and want slightly better quality.
Required Custom Nodes Install via ComfyUI Manager or clone manually into ComfyUI/custom_nodes/
ComfyUI-GGUF https://github.com/city96/ComfyUI-GGUF