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license: other license_name: qwen-research license_link: LICENSE base_model: Qwen/Qwen-Image-2.1

Qwen-Image-2.1-viggle-turbo — v0.2.1

Built with Qwen. A few-step distilled version of Qwen/Qwen-Image-2.1 by Viggle. Text-to-image and instruction-driven editing with 1–3 reference images in 6 steps instead of 40, with no classifier-free guidance.

Install

git clone https://github.com/RiverSide71/Qwen-Image-2.1-viggle-turbo.git

Restart ComfyUI

Rules that matter

• 6 steps with sigmas=[1.0, 0.9375, 0.875, 0.75, 0.5, 0.25], true_cfg_scale=1.0, no negative prompt. These are raw nodes: the pipeline applies its resolution-dependent shift to them, so pass them as written at every size.
• To change the step count, add or remove steps at the high-noise end only, and keep 0.875, 0.75, 0.5, 0.25:
  • 5 steps: [1, 0.875, 0.75, 0.5, 0.25]
  • 7 steps: [1, 0.9583, 0.9167, 0.875, 0.75, 0.5, 0.25]
  • Note: Moving the low-noise nodes makes images softer; plain num_inference_steps without sigmas= and CFG do not help.
• Reference order decides which image image 1 / image 2 in the prompt refers to. Without explicit height/width parameters, the output aspect ratio follows the first reference image.
• Prompt rewriting with the official PE-T2I / PE-I2I rewriters helps composition and rendered text. Raw prompts work too.
• About 1 MP is the sweet spot; up to about 4 MP works. Keep width and height at multiples of 16.

Tested with ComfyUI 0.37.0 (frontend 1.53.6), which has native Qwen-Image-2.1 support.

Included Resources

• viggle_turbo.py, init__.py
• Qwen-Image-2.1-viggle-turbo-t2i.json, Qwen-Image-2.1-viggle-turbo-edit.json - the workflows (drag into ComfyUI).
• input/woman2.webp, input/cat.webp - the edit workflow's example references (from black-forest-labs/flux).