QuantFunc/Qwen-Image-2.1-4bit

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Qwen-Image-2.1-QuantFunc-4bit

4x compression, quality held.

QuantFunc INT4 compresses Qwen-Image-2.1 to about a quarter of its 16-bit size. In our visual comparisons, composition, text rendering, detail and style stay close to the 16-bit baseline.

Showcase

All images below were generated by Qwen-Image-2.1-QuantFunc-4bit.

Floral ad design	Portrait photography
Chinese food poster	Whimsical everyday scene

Swap one loader, keep your workflow

1. Install or update ComfyUI-QuantFunc.
2. Download the r128 or r32 weights.
3. Swap your model loader for the QuantFunc loader and pick the matching weight file.

Every other node, connection and generation parameter stays as-is.

RTX 20-series through GB300, one build covers it all

Runs on every NVIDIA SM75+ GPU: RTX 20/30/40/50-series, A100, H100, H200, B100, B200, GB300.

4-bit weights significantly cut the weight-bandwidth cost of loading and inference, making Qwen-Image-2.1 much easier to run on consumer GPUs. Actual VRAM needs depend on resolution, batch size and the rest of your workflow.

Choose a model

Variant	File	Size	Use case
r128	qwen_image_21_base_quantfunc_int4_r128.safetensors	~4.3 GB	Quality-first, recommended
r32	qwen_image_21_base_quantfunc_int4_r32.safetensors	~4.0 GB	Size/VRAM-first

Loading

Weights use QuantFunc's own safetensors format — load with ComfyUI-QuantFunc or the QuantFunc inference engine, not as a drop-in Diffusers checkpoint. (This repo declares library_name: diffusers purely so Hugging Face counts real downloads of the flat .safetensors files above — see HF's download-stats docs — not because the files load via the diffusers package.)

If the model isn't recognized or fails to load, update ComfyUI-QuantFunc to the latest version and restart ComfyUI.

Source & license

This repository distributes derived quantized weights produced from Qwen/Qwen-Image-2.1, released by the Qwen team.

Qwen-Image-2.1 and its derivative weights follow the Qwen Research License (license text). QuantFunc's quantization tooling and implementation follow their own respective licenses. Please read and comply with the original model's license terms before use.

Community

• 🌐 QuantFunc website
• 🐙 ComfyUI-QuantFunc on GitHub
• 🎮 Discord