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docs(ti): add using & troubleshooting sections

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psychedelicious 2023-02-19 09:34:28 +11:00
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docs/features/TEXTUAL_INVERSION.md
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@ -250,6 +250,24 @@ invokeai-ti \
--only_save_embeds --only_save_embeds
``` ```
## Using Embeddings
After training completes, the resultant embeddings will be saved into your `$INVOKEAI_ROOT/embeddings/<trigger word>/learned_embeds.bin`.
These will be automatically loaded when you start InvokeAI.
Add the trigger word, surrounded by angle brackets, to use that embedding. For example, if your trigger word was `terence`, use `<terence>` in prompts. This is the same syntax used by the HuggingFace concepts library.
**Note:** `.pt` embeddings do not require the angle brackets.
## Troubleshooting
### `Cannot load embedding for <trigger>. It was trained on a model with token dimension 1024, but the current model has token dimension 768`
Messages like this indicate you trained the embedding on a different base model than the currently selected one.
For example, in the error above, the training was done on SD2.1 (768x768) but it was used on SD1.5 (512x512).
## Reading ## Reading
For more information on textual inversion, please see the following For more information on textual inversion, please see the following