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An interactive SDXL settings guide
- GaggiX 3y agoIt's pretty cool to play around with the precomputed generations, it let you develop a better intuition around the samplers. Like how non-ancestral samplers converge to the same image.
- hmcq6 3y agoAgreed. Animations definitely helped. I noticed that more "errors" with wide landscape images than tall portrait ones. I have to imagine that's because the dataset is pulled from the web and the web has a preference for vertically segmented design
- GaggiX 3y agoThe SDXL model was trained on different aspect ratios, but each one of those aspect ratios has a precise resolution, so anything other than those resolutions would be considered out of distribution, so maybe when you were inspecting the wide landscape images you use an out-of-distribution resolution while with the portrait ones you didn't as much.
- whywhywhywhy 3y agoThis is a very limited "Settings Guide" there is a bunch of stuff they're not even mentioning, maybe not aware of. Such as the fact it now has 2 positive prompts + 2 negative prompts and tweaking the amount of the refinement.
- anotherjesse 3y agoAgreed! We wanted to share what we had today and iterate. We have a section at the bottom on "Ensemble of experts" - allowing you to change the percentage run with the base model vs the refiner. I am most excited to add the ability to change between prompts
- waffletower 3y agoNice to have the precomputed images for rapid exploration of parameters. I hadn't encountered the "ensemble of experts" configuration yet, thanks! I found an article that describes its implementation with Hugging Face diffusers APIs: https://ngwaifoong92.medium.com/sdxl-0-9-with-ensemble-of-expert-denoisers-3698a8c230f https://ngwaifoong92.medium.com/sdxl-0-9-with-ensemble-of-ex...