Its model card says it supports text-to-image generation and instruction-driven editing with one to three reference images in six transformer passes rather than the base model’s 40 steps, without classifier-free guidance. Viggle reports roughly 5× end-to-end speedup; it also ships rank-256 and rank-128 adapter files and ComfyUI workflows. The provider notes remaining weaknesses on small dense text and complicated edits.
Raw SignalSep 26, 20261 min read1 source
Viggle released Qwen-Image-2.1-viggle-turbo v0.2.1, a runtime LoRA adapter for Qwen/Qwen-Image-2.1
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Viggle released Qwen-Image-2.1-viggle-turbo v0.2.1, a runtime LoRA adapter for Qwen/Qwen-Image-2.1.