AI BriefingQwen-Image-2.1-viggle-turbo: Accelerating Qwen-Image-2.1: 6 Steps Instead of 40
Viggle/Qwen-Image-2.1-viggle-turbo
About the project
A LoRA adapter based on Qwen-Image-2.1 that significantly boosts inference speed by applying Distribution Matching Distillation. It reduces the original 40-step process to 6 steps while maintaining quality nearly identical to the base model, without Classifier-Free Guidance.
It supports text-to-image generation as well as editing based on instructions using 1–3 reference images. While it may slightly underperform the base model in complex multi-reference editing or fine text generation, its performance is imperceptibly different for general generation and editing tasks.
Compatible with the Diffusers library, it also includes workflows and custom nodes for ComfyUI. Version v0.2.1 reduces configuration drift to 0% compared to v0.1 and improves sharpness, making it suitable for developers who want both speed and high fidelity.
Viggle/Qwen-Image-2.1-viggle-turbo
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text-to-image
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