OPENGIT/stable-diffusion-webui
1
0
Fork 0
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git synced 2025-02-12 00:22:55 +08:00
Code Issues Packages Projects Releases Wiki Activity

Added link to embeddings library on huggingface

Michoko 2022-09-22 10:08:12 +02:00
parent 3b1cc161eb
commit c9ae5f9f4f
1 changed files with 4 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
Features.md

@ -145,9 +145,11 @@ See original site for details: https://textual-inversion.github.io/.
I used lstein's repo for training embdedding: https://github.com/lstein/stable-diffusion; if
you want to train your own, I recommend following the guide on his site.
Update: you can now download many pre-trained embeddings from this page: https://huggingface.co/sd-concepts-library
To make use of pretrained embeddings, create `embeddings` directory in the same directory as `webui.py`
and put your embeddings into it. They must be .pt files about 5Kb in size, each with only
one trained embedding, and the filename (without .pt) will be the term you'd use in prompt
and put your embeddings into it. They must be .pt or .bin files about 5Kb in size, each with only
one trained embedding, and the filename (without .pt or .bin) will be the term you'd use in prompt
to get that embedding.
As an example, I trained one for about 5000 steps: https://files.catbox.moe/e2ui6r.pt; it does