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Updated Textual Inversion (markdown)

AUTOMATIC1111 2022-10-02 20:55:51 +03:00
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Textual-Inversion.md

@ -54,7 +54,7 @@ Experimental support for training embeddings in user interface.
### Training an embedding ### Training an embedding
- **Embedding**: select the embedding you want to train from this dropdown. - **Embedding**: select the embedding you want to train from this dropdown.
- **Learning rate**: how fast should the training go. The danger with setting parameter to high value is that you may break the embedding if you se it too high. If you see `Loss: nan` in the training info textbox, that means you failed and the embedding is dead. With the default value, this should not happen. - **Learning rate**: how fast should the training go. The danger of setting this parameter to a high value is that you may break the embedding if you set it too high. If you see `Loss: nan` in the training info textbox, that means you failed and the embedding is dead. With the default value, this should not happen.
- **Dataset directory**: directory with images for training. They all must be square. - **Dataset directory**: directory with images for training. They all must be square.
- **Log directory**: sample images and copies of partially trained embeddings will be written to this directory. - **Log directory**: sample images and copies of partially trained embeddings will be written to this directory.
- **Prompt template file**: text file with prompts, one per line, for training the model on. See files in directory `textual_inversion_templates` for what you can do with those. Following tags can be used in the file: - **Prompt template file**: text file with prompts, one per line, for training the model on. See files in directory `textual_inversion_templates` for what you can do with those. Following tags can be used in the file: