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FLUX.2 [klein]

v5.0

https://github.com/PierrunoYT/flux-2-klein-pinokioupdated 1/16/2026, 3:17:50 PMindexed 1/23/2026, 7:47:15 PM

🎨 FLUX.2 [klein] - Fast text-to-image generation with Black Forest Labs' FLUX.2 models. 6 variants available: 4B/9B (full precision) plus NVFP4/FP8 quantized versions. Consumer GPUs (~13GB) to high-end (~29GB) for sub-second image generation with outstanding quality.

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Recent commits

Update README.md to clarify supported FLUX.2 [klein] models, emphasizing the removal of FP8 and NVFP4 quantized variants from the interface. Revise model descriptions, hardware requirements, and user guidance for improved clarity and usability. Include links to ComfyUI for users needing quantized model support.

PierrunoYT2 weeks ago53e2968

Update model loading logic in app.py to disallow FP8 and NVFP4 quantized models, raising informative errors for unsupported options. Revise documentation and user interface to clarify available model choices and their requirements, emphasizing the need for base models instead.

PierrunoYT2 weeks ago53e5b94

Refactor app.py to remove mode selection and associated logic, simplifying the image generation process. Update README.md to clarify model distillation and inference steps, emphasizing the optimized default settings for best performance.

PierrunoYT2 weeks ago1ad1b5e

Refactor Gradio interface in app.py to improve layout and organization of input controls, including Hugging Face token input, prompt settings, and advanced options. Update model selection and size presets for better user experience.

PierrunoYT2 weeks ago8e04bd3

Add .gitignore file and implement auto-saving of generated images in app.py

PierrunoYT2 weeks ago694f423

Enhance image generation features in app.py by adding support for input images, adjustable dimensions, and mode-based settings. Update Gradio interface to include new options for image editing and size presets. Revise README.md to reflect changes in resolution settings and guidance scale recommendations.

PierrunoYT2 weeks ago0baff8a

Refactor model loading logic in app.py to simplify model choice handling and enhance support for quantized variants. Update README.md to clarify model options, quantization types, and hardware requirements for improved user guidance.

PierrunoYT2 weeks agofdc2e04

Pin gradio version to 5.50.0 in requirements.txt for consistency and stability.

PierrunoYT2 weeks ago5967a19

Update Hugging Face Hub timeout settings in app.py for better large model downloads and adjust numpy random seed range to avoid overflow warnings. Modify requirements.txt to specify huggingface_hub version.

PierrunoYT2 weeks ago15a60ce

Configure Hugging Face Hub settings in app.py for improved download performance and update requirements.txt to include huggingface_hub with hf_xet support.

PierrunoYT2 weeks agod8be1f8