DogukanUrker / text-to-image Open weights updated 3 days ago

Qwen-Image-2.1-Turbo-GGUF

GGUF quants of Qwen/Qwen-Image-2.1-Turbo, the 8-step distilled Qwen-Image-2.1 (7B DiT). Converted with stable-diffusion.cpp from the official diffusers weights on release day. Every quant is tested on a single RTX 3060 12GB.

Params
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Context
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Downloads 30d
234 K
Likes
7
Licence: other Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 8 days
234 K64 K
Oct 17Oct 19Oct 22Oct 24

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
qwen-image-2.1-turbo-Q2_K.gguf Q2_K 2.4 GB 3.1 GB ✅ Runs comfortably
qwen-image-2.1-turbo-Q3_K.gguf Q3_K 3.1 GB 3.9 GB ✅ Runs comfortably
qwen-image-2.1-turbo-Q3_K_S.gguf Q3_K_S 3.1 GB 3.9 GB ✅ Runs comfortably
qwen-image-2.1-turbo-Q4_K.gguf Q4_K 4.1 GB 5.0 GB ✅ Runs comfortably
qwen-image-2.1-turbo-Q4_K_S.gguf Q4_K_S 4.1 GB 5.0 GB ✅ Runs comfortably
qwen-image-2.1-turbo-Q5_0.gguf Q5_0 4.9 GB 5.9 GB ✅ Runs comfortably
qwen-image-2.1-turbo-Q6_K.gguf Q6_K 5.9 GB 7.0 GB ✅ Runs comfortably
qwen-image-2.1-turbo-F16.gguf GGUF 14.2 GB 16.2 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Licence
other
First seen on the Hub
2026-10-09
Training datasets
undisclosed
Added to our catalog
2026-10-17
Compare with any text-to-image model