Flux2-Dev FP8 & GGUF - FP8 Mixed
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Tips
Update your ComfyUI to version 0.3.72 for best compatibility.
Use GGUF text-encoder from Huggingface for improved performance.
Requires 10GB VRAM and 64GB RAM with CLIP device on CPU and Diffusion Model Loader KJ with Triton and dtype fp8_e4m3fn.
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Update your ComfyUI [Github] to 0.3.72 ( cd comfyui-directory -> terminal -> git pull -> restart ComfyUi)
10GB VRAM + 64GB RAM => Yes (CLIP device: CPU + Diffusion Model Loader KJ (Triton & dtype fp8_e4m3fn )
Recommended resolutions:
(Flux2 is flexible and can handle any aspect ratio up to 4MP total)
Square: 1024×1024, 2048×2048
Landscape: 2048×1024, 3072×1536
Portrait: 1024×2048, 1536×3072
Ultra-Wide: 4096×1024
FLUX.2 [dev] is a 32 billion parameter rectified flow transformer capable of generating, editing and combining images based on text instructions. More info
Key Features
State of the art in open text-to-image generation, single-reference editing and multi-reference editing.
No need for finetuning: character, object and style reference without additional training in one model.
Trained using guidance distillation, making
FLUX.2 [dev]more efficient.Open weights to drive new scientific research, and empower artists to develop innovative workflows.
Generated outputs can be used for personal, scientific, and commercial purposes
These models are redistributed here for the sake of convenience.
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