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figma/README.md ADDED
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+ # figma
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+
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+ trained on 5,746 images scraped from goodsmile's international catalogue, including the discontinued products. all images were tagged with `figma` first and the product name with `figma` stripped out second, so an image from a product named "figma Hatsune Miku" would be tagged `figma, hatsune miku`. all other tags came from the wd1.4 tagger. `3d` and `realistic` tags seem to work well with it.
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+ the alpha16 version is better at generalizing, while the 7e-5 version is better at capturing the figure-with-transparent-stand look.
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+ # nendoroid / ねんどろいど
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+
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+ dataset was scraped from goodsmileus, their catalog only seems to include nendoroids still listed for sale. even so the entire set was over 3,000 images total. images like extra preorder items or non-figure subjects were removed, and any surrounding white borders were trimmed with `mogrify -trim -fuzz 7%`.
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+ all images were tagged with `nendoroid` first and a tag with title of the product that has the leading "Nendoroid" stripped out second, so a product named "Nendoroid Hatsune Miku" on the goodsmileus website would be tagged `nendoroid, hatsune miku`. all other tags came from wd1.4. the `nendoroid` tag and these models in general seem to have a crazy high weight but can create very detailed results. they're even capable of adapting to other style and character LoRAs pretty well. included is an image of one of these LoRAs mixed with my dowman sayman one.
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+ trained on a variety of learning rates and network alphas. `realistic`, `3d`, and `rendered in blender` seem to work pretty well with them. check the xy grid for a comparison.
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