Qwen releases Qwen-Image-2.1-Turbo for accelerated image generation
ByPulseAugur Editorial·[16 sources]·
The Qwen/Qwen-Image-2.1-Turbo model has been released, offering accelerated text-to-image generation and editing capabilities with a reduced number of denoising steps. This model, built on the Qwen-Image-2.1 architecture, utilizes an 8-step sampling schedule for efficient image creation and modification. It is compatible with libraries like Diffusers and can be integrated into various applications and workflows, including local apps and cloud platforms.
AI
IMPACT
Accelerates image generation and editing workflows with reduced processing steps.
RANK_REASON
Model release from a significant AI lab (Qwen).
🚀 Meet Qwen-Image-2.1-Turbo — create and edit images in just 8 denoising steps! Open weights now available!
Built on Qwen-Image-2.1, Turbo is an accelerated checkpoint on the same 7B visual generation architecture.
Fewer steps does not mean lower quality: it still generates
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TIER_1Deutsch(DE)·Qwen·
<!-- SC_OFF --><div class="md"><p>hi guys, i fixed the confyui workflow with sigmas recommended by qwen 2.1 so artifacts are very reduced or no more...</p> <p>test it, tell me your results.</p> <p>=)</p> </div><!-- SC_ON -->   submitted by   <a href="https://www.reddit.co…
<table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1x2sgpg/qwenimage_21_turbo_model_is_available_in_zpix_a/"> <img alt="Qwen-Image 2.1 Turbo model is available in ZPix (a friendly local image generator and editor)" src="https://preview.redd.it/ywzaag49zpu…