VictorMylle/Kohya-ss-sd-scripts
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Kohya S
2023-01-10 17:43:35 +09:00
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@@ -114,9 +114,13 @@ pip install --upgrade -r <requirement file name>
コマンドが成功すれば新しいバージョンが使用できます。 コマンドが成功すれば新しいバージョンが使用できます。
## 謝意
LoRAの実装は[cloneofsimo氏のリポジトリ](https://github.com/cloneofsimo/lora)を基にしたものです。感謝申し上げます。
## ライセンス ## ライセンス
スクリプトのライセンスはASL 2.0ですが、一部他のライセンスのコードを含みます。 スクリプトのライセンスはASL 2.0ですが（Diffusersおよびcloneofsimo氏のリポジトリ由来のものも同様）、一部他のライセンスのコードを含みます。
[Memory Efficient Attention Pytorch](https://github.com/lucidrains/memory-efficient-attention-pytorch): MIT [Memory Efficient Attention Pytorch](https://github.com/lucidrains/memory-efficient-attention-pytorch): MIT

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README.md
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@@ -99,9 +99,13 @@ pip install --upgrade -r requirements.txt
Once the commands have completed successfully you should be ready to use the new version. Once the commands have completed successfully you should be ready to use the new version.
## Credits
The implementation for LoRA is based on [cloneofsimo's repo](https://github.com/cloneofsimo/lora). Thank you for great work!!!
## License ## License
The majority of scripts is licensed under ASL 2.0 (including codes from Diffusers), however portions of the project are available under separate license terms: The majority of scripts is licensed under ASL 2.0 (including codes from Diffusers, cloneofsimo's), however portions of the project are available under separate license terms:
[Memory Efficient Attention Pytorch](https://github.com/lucidrains/memory-efficient-attention-pytorch): MIT [Memory Efficient Attention Pytorch](https://github.com/lucidrains/memory-efficient-attention-pytorch): MIT