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Kohya S
2023-02-11 13:36:33 +09:00
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@@ -9,8 +9,10 @@ Note: The LoRA models for SD 2.x is not supported too in Web UI.
- 11 Feb. 2023, 2023/2/11:
- ``lora_interrogator.py`` is added in ``networks`` folder. See ``python networks\lora_interrogator.py -h`` for usage.
- For LoRAs where the activation word is unknown, this script compares the output of Text Encoder after applying LoRA to that of unapplied to find out which token is affected by LoRA. Hopefully you can figure out the activation word. LoRA trained with captions does not seem to be able to interrogate.
- Batch size can be large (like 64 or 128).
- ``lora_interrogator.py`` を ``network``フォルダに追加しました。使用法は ``python networks\lora_interrogator.py -h`` でご確認ください。
- このスクリプトは、起動promptがわからないLoRAについて、LoRA適用前後のText Encoderの出力を比較することで、どのtokenの出力が変化しているかを調べます。運が良ければ起動用の単語が分かります。キャプション付きで学習されたLoRAは影響が広範囲に及ぶため、調査は難しいようです。
- バッチサイズはわりと大きくできます（64や128など）。
- 10 Feb. 2023, 2023/2/10:
- Updated ``requirements.txt`` to prevent upgrading with pip taking a long time or failure to upgrade.
- ``resize_lora.py`` keeps the metadata of the model. ``dimension is resized from ...`` is added to the top of ``ss_training_comment``.