{ "id": 27851, "modelId": 23319, "name": "v1.20", "createdAt": "2023-03-23T13:15:43.234Z", "updatedAt": "2023-03-24T20:31:00.236Z", "trainedWords": [ "panties", "crotchless", "crotchless panties", "bra", "cupless bra", "pussy", "nipples" ], "baseModel": "SD 1.5", "earlyAccessTimeFrame": 0, "description": "
Generate using a weight of 0.6-1 like this: <lora:CuplessCrotchlessv120:0.8>.
I've used 0.8 in all samples. Haven't really tested other numbers.
How I archived my generations:
txt2img: DPM++ SDE Karras with 20 steps, 512x512(can go up to 768 for wide or tall), Restore faces on (using CodeFormer weight 1.0 in Settings), Hires-fix on, to 1024x1024 (double original size) with your preferred upscaler and Denoise 0.4, CFG 7. Then send to img2img!
img2img: DPM++ SED Karras with 20 steps, Restore faces on (CodeFormer weight 1), rescale to 1536x1536, CFG 7, Denoise between 0.3-0.7 (based on how much you want to improve the image), SAME PROMPT! Send to extras when happy with img2img/inpaint results.
extras: Scale to x3 (final will be 4608x4608, I suggest going lower, I did x3 just for the samples here) Upscaler 1 - FatalAnime 4x, Upscaler 2 - SwinIR 4x with 0.10 visibility, GFPGAN 0.10 visibility, CodeFormer 0.10 visibility.
If anyone is curious about my version names: v{version}.{trainingEpochs}
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