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v1 - Foot Focus Helper
Mizar's - Foot Focus Helper

Mizar's - Foot Focus Helper

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As promised, this is a much more thoroughly trained LORA for Foot-Focused images and it's pretty versatile in its use cases

I recommend weights 0.6 - 1.0 for Txt2Img and Img2Img generations, but it's pretty flexible and you can get away with using smaller smaller weights if it begins to interfere/overpower character LORAs used with it. I use a CFG scale of 7, and for inpainting uses specifically, use denoising strengths between (0.4 - 0.65) to help maintain nail polish color and avoid distorting feet. Also for inpainting, you'll want to make sure 'masked only' is set and use the tag "close-up" for better consistency.

This LORA was trained on 300 images varying from full-body to feet close-ups to make it able to do both normal generations and inpainting fixes.

Recommended Keywords:

Trigger Word: MizarFeet

mizarfeet, barefoot, feet, foot focus, toes, nail polish, toenail polish

  • Specify 'soles', 'legs up', 'feet up' etc. as desired

  • Specify 'close-up' when inpainting. Inpaint feet individually with 'masked only' set

  • Trained on the following nail polish colors

    • Black

    • Blue/Aqua

    • White

    • Purple

    • Red/Pink

Note: You'll have better success with nail polish color by manually adding color to nails via Adobe PS/MS Paint or some art application, then inpainting over the foot at low denoise strengths (as seen in images 1->

Since this LORA is really consistent in both inpainting and creating base generations, the original Mizar's - Feet Inpainting LORA isn't really necessary for use with this and will likely be archived. As always thanks for supporting, Buzz tips are appreciated so I can train other LORAs for my own works, and check out my Patreon if you feel like supporting :)

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Mitteilung
2023-11-04
Modell veröffentlichen
2024-02-01
Modellinformationen aktualisieren
Modelldetails
Typ
LORA
Veröffentlichungsdatum
2023-11-04
Basismodelle
SD 1.5
Auslösewörter
MizarFeet
Barefoot
Feet
Toenail Polish
Soles
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Source-Modell: civitai

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