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| author | AUTOMATIC <16777216c@gmail.com> | 2022-09-07 00:13:28 +0000 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2022-09-07 00:13:28 +0000 |
| commit | 9cb3cc3a2f5f419dd594f3322fa35113a6ed2391 (patch) | |
| tree | 5213b937c069820e935235267de77cf98f01f7f1 | |
| parent | 6521f90fa2074f83c643b019e2aa37b1108591a1 (diff) | |
| download | stable-diffusion-webui-gfx803-9cb3cc3a2f5f419dd594f3322fa35113a6ed2391.tar.gz stable-diffusion-webui-gfx803-9cb3cc3a2f5f419dd594f3322fa35113a6ed2391.tar.bz2 stable-diffusion-webui-gfx803-9cb3cc3a2f5f419dd594f3322fa35113a6ed2391.zip | |
Textual inversion info
| -rw-r--r-- | README.md | 8 |
1 files changed, 8 insertions, 0 deletions
@@ -102,6 +102,14 @@ program in collabs. Use `--listen` to make the server listen to network connections. This will allow computers on local newtork
to access the UI, and if you configure port forwarding, also computers on the internet.
+### Textual Inversion
+To make use of pretrained embeddings, create `embeddings` directory (in the same palce as `webui.py`)
+and put your embeddings into it. They must be .pt files, each with only one trained embedding,
+and the filename (without .pt) 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 not produce
+very good results, but it does work. Download and rename it to Usada Pekora.pt, and put it into embeddings dir
+and use Usada Pekora in prompt.
### How to change UI defaults?
|