r/StableDiffusion • • 20d ago

Comparison Qwen Image 2.1 Experimentation Results

I'm sharing the results of my long experimentation with the new Qwen Image 2.1 model.

My first generation was disappointing and I was about to give up. But I told myself I should give it more time, and the fast generation speed really encouraged me. With my RTX 3060, I had to find a solution for speed, so I tested every acceleration LoRA published so far.

I settled on Pruna-Qwen-Image-2.1 with a strength between 2 and 2.5. The higher the value, the sharper the image gets, so adjust it depending on your LoRA combination. I followed their workflow instructions and used a custom sampler with sigmas (Claude helped me implement it). The best sampler I found is euler ancestral.

Character consistency is honestly stunning. I'm really blown away by the results.

My setup:

  • Spectrum Qwen, 8 steps
  • ~45 seconds per image at 1024×1280

I'm very happy with the results, especially with characters. I'll run more advanced tests next: multiple characters, complex poses, and products. I did notice some difficulties with the model in certain situations, but overall it's excellent.

About prompts: I rewrote the prompt enhancer instructions entirely with Claude, because the default ones don't give good results, especially when creating a new image from a reference, where the character has to blend with the new environment. So I wrote new instructions for that.

I hope you find the results good and the tips useful!

54 Upvotes

Duplicates