Built with Qwen. A few-step distilled student of Qwen/Qwen-Image-2.1, trained by Viggle with Distribution Matching Distillation. It does both text-to-image and instruction-driven editing with 1–3 reference images in 6 transformer passes instead of 40, with no classifier-free guidance. src="https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo/resolve/main/assets/viggleturbopromo.mp4"> About 5× faster than the 40-step base model end to end, and very competitive with it in quality: on the official Qwen examples the two are hard to tell apart on most prompts, and on some — dense layouts like the character style infographic — we prefer the turbo's render. See for yourself in the Comparison…