This repository has been migrated to https://huggingface.co/nunchaku tech/nunchaku flux.1 kontext dev and will be hidden in December 2025. Model Card for nunchaku flux.1 kontext dev This repository contains Nunchaku quantized versions of FLUX.1 Kontext dev, capable of editing images based on text instructions. It is optimized for efficient inference while maintaining minimal loss in performance. Model Details Model Description Developed by: Nunchaku Team Model type: image to image License: flux 1 dev non commercial license Quantized from model: FLUX.1 Kontext dev Model Files svdq int4 r32 flux.1 kontext dev.safetensors : SVDQuant quantized INT4 FLUX.1 Kontext dev model. For users with non Blackwell GPUs (pre 50 series). svdq fp4 r32 flux.1 kontext dev.safetensors : SVDQuant quantized NVFP4 FLUX.1 Kontext dev model. For users with Blackwell GPUs (50 series). Model Sources Inference Engine: nunchaku Quantization Library: deepcompressor Paper: SVDQuant: Absorbing Outliers by Low Rank Components for 4 Bit Diffusion Models Demo: svdquant.mit.edu Usage Diffusers Usage: See flux.1 kontext dev.py. Check our tutorial for more advanced usage. ComfyUI Usage: See nunchaku flux.1 kontext dev.js…
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