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Updated Textual Inversion (markdown)

AUTOMATIC1111 2022-10-11 16:38:39 +03:00
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Textual-Inversion.md

@ -86,3 +86,13 @@ Other options are to train on colabs and/or using diffusers library, which I kno
- [viper1](https://gitgud.io/viper1/stable-diffusion-embeddings) - NSFW, furry girls.
- [anon's embeddings](https://mega.nz/folder/7k0R2arB#5_u6PYfdn-ZS7sRdoecD2A) - NSFW, anime artists.
- [rentry](https://rentry.org/embeddings) - a page with links to embeddings from many sources.
# Hypernetworks
Hypernetworks is a novel (get it?) concept for fine tuning a model without touching any of its weights.
The current way to train hypernets is in the textual inversion tab.
Training works the same way as with textual inversion.
The only requirement is to use a very, very low learning rate, something like 0.000005 or 0.0000005.