DogukanUrker/Qwen-Image-2.1-Turbo-GGUF

text-to-image model by DogukanUrker

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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. These are made for stable-diffusion.cpp (sd-cli, sd-server, and anything built on it, like llama-swap). They are not ComfyUI-GGUF files. Using ComfyUI? See the section at the bottom. Q6K, 8 steps, 1024x1024, one shot per prompt, no cherry-picking. Q4KS and Q3KS are uniform k-quants (every quantized tensor is Q4K or Q3K). qwen-image-2.1-turbo-Q4K.gguf and qwen-image-2.1-turbo-Q3K.gguf are the exact same files under their old names, kept so existing links keep working. Peak VRAM is the whole pipeline on the GPU (--auto-fit off): diffusion model, Qwen3-VL-8B UD-Q4KXL text encoder and VAE, 1024x1024, --diffusion-fa --vae-tiling. Measured by polling nvidia-smi. Tested with stable-diffusion.cpp f0aac52. Any build with Qwen-Image-2.1 support should work (the first tests used a1ded76). The important part is the turbo schedule. It is…

DogukanUrker/Qwen-Image-2.1-Turbo-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T07:17:27.200Z

Inside the original model card — Document outline
  1. Qwen-Image-2.1-Turbo GGUF
  2. Files
  3. You also need
  4. Run with stable-diffusion.cpp
  5. Which placement for your card
  6. llama-swap / sd-server
  7. Speed (RTX 3060 12GB, 1024x1024, 8 steps, sd-cli)
  8. Sizes and limits
  9. Using ComfyUI?
  10. License

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Model overview

DogukanUrker/Qwen-Image-2.1-Turbo-GGUF is a text-to-image model repository published by DogukanUrker on Hugging Face. The source reports the gguf library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-image
Library
gguf
Recent downloads (30 days)
376,108
Cumulative likes
8
Hugging Face trending score
1
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-10-09T13:39:15.000Z
Last modified
2026-10-21T08:28:34.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen-Image-2.1-Turbo

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:31.475Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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