this is the new benchmark for models. 10 iterations on one generation is where Flux 3 Image starts to add a bunch of noise. I didn't understand at first why the image on the left was drifting so much, whereas on the right it wasn't. After doing a bit of research and reading up on the BFL docs, it turns out it's because when asking it to change hair, it's very hard to apply a stencil to the hair, so it regenerates the entire thing. Whereas when you're asking it to swap a T-shirt, a T-shirt is very easy to trace the outline for, which is basically in-painting. If your object is obvious precise region editing with Flux 3 Image is incredible. If it's not obvious the model is less good. but again you rarely need to go over 5+ iterations. Yesterday I was doing tests with Ideogram 4.5 and I thought it was amazing but I haven't put it through a stress test where the change I'm asking for isn't as easy to trace. I guess now that all image models are getting to the same quality of output, the new benchmark will be how good the vision model is at tracing and inpainting the edits we ask for. I've been doing a bunch of generating and Flux 3 still remains my favorite model for artistic and stylistic choices. It's available now in ElevenCreative.