Qwen-Image-2.1-Turbo is an accelerated checkpoint of Qwen-Image-2.1 for text-to-image generation and image editing with 8 denoising steps. It uses the same 7B visual generation architecture and loads directly with QwenImage21Pipeline in Diffusers. The checkpoint includes its recommended sampling schedule, so it is ready to use without manually configuring the scheduler. Generation uses CFG=1 by default, and prefix KV caching reuses the text and reference-image context across denoising steps. For more details, see the GitHub repo and Qwen-Image-2.1 blog. Install a CUDA-compatible PyTorch build, then install the latest Diffusers source and the following dependencies: This checkpoint requires…
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Jrashzhou
jrash
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Models on Hugging Face1
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