AtomicChat / text-to-image Open weights updated 1 week ago

Qwen-Image-2.1-Turbo-GGUF

The 8-step Qwen-Image-2.1 as GGUF for stable-diffusion.cpp, built from the published BF16 weights with our own importance matrix. The renders and measurements behind this card are public. Generate images locally in Atomic Chat. It runs stable-diffusion.cpp, the engine these files were built and checked with. Turbo drifts from the original picture faster than you might expect at 4 bits and below. Our AD-Q4K stays 21%...

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Context
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Downloads 30d
172 K
Likes
38
Licence: other Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 13 days
172 K43 K
Oct 12Oct 16Oct 20Oct 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-AD-Q2_K.gguf Q2_K 2.6 GB 3.3 GB ✅ Runs comfortably
Qwen-Image-2.1-Turbo-AD-Q3_K.gguf Q3_K 3.6 GB 4.5 GB ✅ Runs comfortably
Qwen-Image-2.1-Turbo-AD-Q4_K.gguf Q4_K 4.2 GB 5.1 GB ✅ Runs comfortably
Qwen-Image-2.1-Turbo-AD-Q5_K.gguf Q5_K 5.4 GB 6.4 GB ✅ Runs comfortably
Qwen-Image-2.1-Turbo-AD-Q6_K.gguf Q6_K 6.7 GB 7.9 GB ✅ Runs comfortably
Qwen-Image-2.1-Turbo-Q8_0.gguf Q8_0 7.6 GB 8.9 GB ✅ Runs comfortably
Qwen-Image-2.1-Turbo-BF16.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
2026-10-12
Compare with any text-to-image model