Viggle/Qwen-Image-2.1-viggle-turbo — new model trending #30 on Hugging Face
Viggle releases a six-step distilled LoRA of Qwen-Image-2.1 that runs about five times faster.
Viggle released Qwen-Image-2.1-viggle-turbo v0.2.1, a Distribution Matching Distillation student of Qwen-Image-2.1 for text-to-image and instruction-driven editing with one to three reference images. The recommended rank-256 LoRA is 1.3 GB in bf16 and samples in six steps on a fixed sigma schedule, with no classifier-free guidance, versus 40 steps for the base model and about five times faster end to end. On a 96-request held-out set, v0.2.1 shows 0.98 times the base model's sample diversity and 0% composition drift, while dense text and complicated multi-reference edits can still fall short. A 680 MB rank-128 variant and ComfyUI workflows are also published.