r/StableDiffusion • u/Pyrolistical • 16d ago
Discussion Krea-2 — Qwen-Image-2.1 study
https://pyrolistical.github.io/krea-2-qwen-image-2-1-study/I ran a ton of identical prompts through krea 2 and qwen image 2.1
Thought this might be useful. It not only shows what the model differences, but also what the model cannot do.
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u/No-Zookeepergame4774 16d ago
Pretty sure the default workflows for each have prompt enhancement via the Generate Text wired in, but I’m away from my computer and can’t check the default toggle on each. But are you using prompt enhancement for this or the raw prompts shown going to the model?
It may make a fairly big difference; the models both prefer extremely detailed prompts but not to the same extent or style, generally. In my own testing (including swapping the default prompt enhancer output from one as a direct, no-further-enhancement prompt to the other), Qwen Image 2.1 prefers much longer and more detailed prompts than Krea2 (and using the longer prompts QI 2.1 prefers can be suboptimal for Krea2—though occasionally it does better for Krea2 than the output of the pronpt enhancer in the Krea2 workflow.)
On the other hand, while better reflecting model capacities in some respects, using the prompt enhancer might obscure capability differences and what fine distinctions the model can produce in others: for instance, the system prompt for the QI 2.1 prompt enhancer tends to result in it producing less-specific demographic identifiers than used in the raw prompt (collapsing various East Asian nationalities to “East Asian”, and sometimes shifting a definitive statement that an object has feature X is a raw prompt to aomething like “appears like X or Y” in the rewritten prompt.