It's both. I have several models loaded into diffui. Which one each prompt uses is determined based on user preference over time. Whichever image is currently at the top of any image node stack marks a win for the model that generated it, I assign each model an ELO score based on that, and I bias the chance each model is selected based on their ELO score. Right now gpt-image-2 is better than my own model, and it services around ~96% of the requests in diffui.
I'll also be adding in microsoft's mai-image-2.6 soon, but I need to update my SOC2 to add MS as a provider before I turn that on for other users. The full list of models in rotation is here: https://image.non.io/d53a9760-8b74-4386-b032-d59da2cd5319.we...
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It's both. I have several models loaded into diffui. Which one each prompt uses is determined based on user preference over time. Whichever image is currently at the top of any image node stack marks a win for the model that generated it, I assign each model an ELO score based on that, and I bias the chance each model is selected based on their ELO score. Right now gpt-image-2 is better than my own model, and it services around ~96% of the requests in diffui.
I'll also be adding in microsoft's mai-image-2.6 soon, but I need to update my SOC2 to add MS as a provider before I turn that on for other users. The full list of models in rotation is here: https://image.non.io/d53a9760-8b74-4386-b032-d59da2cd5319.we...