Lora, called flat and flat2, intentionally learns low-detail images, which apparently improves the detail of generated images when Lora strength is specified with a negative value. For example, it can be specified as <lora:flat2:-1>. It's a interesting idea.
@moosed and we're near mother's day over here so it's apt in celebration!
@Elfie almost there wut
@nop check the other replies from
dtzbts~maid in my original post, he explains a bit more stuff and uploads some screenshots.
@ryuichi@qoto.org https://comfyanonymous.github.io/ComfyUI_examples/faq/ explains it better then i can.
The main benefit for me is control over upscale, instead of doing one big hiresfix step, I have a custom workflow that's a couple of small upscales instead of one big. The prompting is mostly the same, I never really used weights that much so the different behaviour isn't really an issue. Heres an example of my workflow, its somewhat overloaded, but i have plenty of flexibility with just moving couple of outputs around.
@maid i see, so it's like a totally new way to generate images you have to get used to
Well i can see the advantages of the system, probably wouldn't be bad to give it a try.
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