Qwen 2.1 turbo LoRa by Viggle - v3 6-step rank 128

Qwen 2.1 turbo LoRa by Viggle

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Qwen 2.1 turbo LoRa by Viggle by CMR Swaglin on Tensor.Art

Original by viggle on hugginface

Steps 4-16

CFG=1

T2i/i2i

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.

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Version Detail

Qwen-Image-2.1
from hugginface (9-step workflow you need to figure out yourself): v0.3 (2026-09-29) 6 steps, a different balance. Against v0.2.1: less grain and cleaner surfaces, fine texture a little softer; diversity (still close to the base model's) and small-text accuracy about the same. It is not a strict upgrade: if you prefer the crisper look, v0.2.1 is still in the repository. New 9-step mode: 7 turbo steps, then the LoRA is switched off and the base model finishes the last two. Finer detail, and small text comes out right more often (not always). It takes about 1.4–1.5× as long as 6 steps (still about 3.5× faster than the base model). It works in diffusers and the demo Space only (9 steps). We think 6 steps is close to its capacity. Since v0.2.1, every gain we found at 6 steps cost something elsewhere: sharper came with more grain, less grain came with a softer look. Beyond this point, quality most likely has to be paid for with steps, which is what the 9-step mode does.

Project Permissions

Model reprinted from : https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

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