ChatR Labs Shrinks Alibaba's Qwen-Image-2.1 to 4 GB for Consumer GPUs

ChatR Labs released a quantized Qwen-Image-2.1 with a rank-128 Omni LoRA merged at strength 1.0. Thirteen builds ship: GGUF, FP8, INT8 ConvRot, NVFP4, NF4 bitsandbytes, FP8 torchao, and BF16 safetensors. NVFP4 runs at about 4 GB VRAM; Q5_K_M at 8 GB; BF16 at 14 GB on RTX 5090.

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AlphaSignal

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Nov 14, 2026, 10:00 PM

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AlphaSignal

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1 min read

Takeaways

ChatR Labs released a quantized Qwen-Image-2.1 with a rank-128 Omni LoRA merged at strength 1.0.
Thirteen builds ship: GGUF, FP8, INT8 ConvRot, NVFP4, NF4 bitsandbytes, FP8 torchao, and BF16 safetensors.
NVFP4 runs at about 4 GB VRAM; Q5_K_M at 8 GB; BF16 at 14 GB on RTX 5090.
Adult prompt adherence rises 4.6 points over base; general SFW quality and anatomy unchanged.
Base Qwen-Image-2.1 is 7B DiT, Qwen3-VL 8B encoder, 2K native, up to 10 reference images.
Licensed under Qwen Research License, non-commercial use only unless separately licensed by Alibaba.

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