FAST Flux GGUF for low VRAM GPUs with Highest Quality. Installation, Tips & Performance Comparison.

We install the new GGUF node on ComfyUI locally for NVIDIA or AMD GPUs. The image generation examples show both the great quality as well as the detailed performance, followed by tips & tricks including Flux.1 DEV and Flux.1 SCHNELL. Videos: Flux Installation on ComfyUI: https://youtu.be/52YAQZ-1nOA ComfyUI with ZLUDA on Windows: https://youtu.be/X4V3ppyb3zs ComfyUI with ROCm on Linux: https://youtu.be/QEbI6v2oPvQ Links: https://github.com/comfyanonymous https://github.com/comfyanonymous/ComfyUI_examples/tree/master/flux https://github.com/comfyanonymous/ComfyUI_bitsandbytes_NF4 The GGUF Models: https://github.com/city96/ComfyUI-GGUF https://huggingface.co/city96/FLUX.1-schnell-gguf/tree/main https://huggingface.co/city96/FLUX.1-dev-gguf/tree/main About Quantization: https://github.com/ggerganov/llama.cpp/tree/master/examples/quantize#quantizationofcharge PLEASE CHECK THE PINNED COMMENT FOR UPDATES ! Chapters: 0:00 About Flux and GGUF 1:02 GGUF Installation 2:54 ZLUDA Update 3:46 Adding GGUF Loader 4:33 GGUF Models and Test 6:43 Example Generation 7:45 Result Comparison 9:47 Performance Details 13:16 Key findings #comfyui #flux #gguf #stablediffusion