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So right now you have about a million characters that you have to sieve through. And then there are items such as clothes which are not marked at all.
When uploading model like embeddings, hypernetworks, Lora, lycoris, or textual inversion, you should be forced to select only one keyword that best defines what the model is about.
So the keywords can be: Real Person, Anime/Game Character, Body Morphing, Clothes, Pose, POV, Art Style, Animal, Porn or Other. Users can only pick one defining keyword. After picking the first, a secondary keyword options might show up for some. Example, for "Clothes" you can have secondary keywords such as Shirt, Dress. Trousers, T-Shirt, Legwear, Shoes, Underwear, etc. You can pick multiple secondary.
A huge list of items are not even tagged correctly. And the "Style" tag is being abused for (stylish) clothes.
Maybe also a way to filter out items with certain tags, but that's not going to work as people are abusing the tagging. That's all I can think of but people better knowledge will have a better idea.
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So right now you have about a million characters that you have to sieve through. And then there are items such as clothes which are not marked at all.
When uploading model like embeddings, hypernetworks, Lora, lycoris, or textual inversion, you should be forced to select only one keyword that best defines what the model is about.
So the keywords can be: Real Person, Anime/Game Character, Body Morphing, Clothes, Pose, POV, Art Style, Animal, Porn or Other. Users can only pick one defining keyword. After picking the first, a secondary keyword options might show up for some. Example, for "Clothes" you can have secondary keywords such as Shirt, Dress. Trousers, T-Shirt, Legwear, Shoes, Underwear, etc. You can pick multiple secondary.
A huge list of items are not even tagged correctly. And the "Style" tag is being abused for (stylish) clothes.
Maybe also a way to filter out items with certain tags, but that's not going to work as people are abusing the tagging. That's all I can think of but people better knowledge will have a better idea.
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