From c9ae5f9f4fba7310488cfe0dbfc69db5ce6945ee Mon Sep 17 00:00:00 2001 From: Michoko Date: Thu, 22 Sep 2022 10:08:12 +0200 Subject: [PATCH] Added link to embeddings library on huggingface --- Features.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/Features.md b/Features.md index 51a57e1..8781408 100644 --- a/Features.md +++ b/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