Ryuichi @ryuichi@qoto.org

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.

https://huggingface.co/2vXpSwA7/iroiro-lora/tree/main/test2

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@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.

Funny Lora
https://civitai.com/models/58270/this-is-fine

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