Model Card for nunchaku qwen image This repository contains Nunchaku quantized versions of Qwen Image, designed to generate high quality images from text prompts, advances in complex text rendering. It is optimized for efficient inference while maintaining minimal loss in performance. News [2025 08 27] 🔥 Release 4 bit 4/8 step lightning Qwen Image ! [2025 08 15] 🚀 Release 4 bit SVDQuant quantized Qwen Image model with rank 32 and 128! Model Details Model Description Developed by: Nunchaku Team Model type: text to image License: apache 2.0 Quantized from model: Qwen Image Model Files Data Type : INT4 for non Blackwell GPUs (pre 50 series), NVFP4 for Blackwell GPUs (50 series). Rank : r32 for faster inference, r128 for better quality but slower inference. Base Models Standard inference speed models for general use Data Type Rank Model Name Comment INT4 r32 svdq int4 r32 qwen image.safetensors r128 svdq int4 r128 qwen image.safetensors NVFP4 r32 svdq fp4 r32 qwen image.safetensors r128 svdq fp4 r128 qwen image.safetensors 4 Step Distilled Models 4 step distilled models fused with Qwen Image Lightning 4steps V1.0 LoRA using LoRA strength = 1.0 Data Type Rank Model Name Comment INT4 r…
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