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2023-04-06 08:16:02 +09:00
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@@ -127,7 +127,43 @@ The majority of scripts is licensed under ASL 2.0 (including codes from Diffuser
## Change History ## Change History
- 4 Apr. 2023, 2023/4/4: ### 6 Apr. 2023, 2023/4/6:
- There may be bugs because I changed a lot. If you cannot revert the script to the previous version when a problem occurs, please wait for the update for a while.
- Added a feature to upload model and state to HuggingFace. Thanks to ddPn08 for the contribution! [PR #348](https://github.com/kohya-ss/sd-scripts/pull/348)
- When `--huggingface_repo_id` is specified, the model is uploaded to HuggingFace at the same time as saving the model.
- Please note that the access token is handled with caution. Please refer to the [HuggingFace documentation](https://huggingface.co/docs/hub/security-tokens).
- For example, specify other arguments as follows.
- `--huggingface_repo_id "your-hf-name/your-model" --huggingface_path_in_repo "path" --huggingface_repo_type model --huggingface_repo_visibility private --huggingface_token hf_YourAccessTokenHere`
- If `public` is specified for `--huggingface_repo_visibility`, the repository will be public. If the option is omitted or `private` (or anything other than `public`) is specified, it will be private.
- If you specify `--save_state` and `--save_state_to_huggingface`, the state will also be uploaded.
- If you specify `--resume` and `--resume_from_huggingface`, the state will be downloaded from HuggingFace and resumed.
- In this case, the `--resume` option is `--resume {repo_id}/{path_in_repo}:{revision}:{repo_type}`. For example: `--resume_from_huggingface --resume your-hf-name/your-model/path/test-000002-state:main:model`
- If you specify `--async_upload`, the upload will be done asynchronously.
- Added the documentation for applying LoRA to generate with the standard pipeline of Diffusers. [training LoRA](./train_network_README-ja.md#diffusersのpipelineで生成する) (Japanese only)
- Support for Attention Couple and regional LoRA in `gen_img_diffusers.py`.
- If you use ` AND ` to separate the prompts, each sub-prompt is sequentially applied to LoRA. `--mask_path` is treated as a mask image. The number of sub-prompts and the number of LoRA must match.
- 大きく変更したため不具合があるかもしれません。問題が起きた時にスクリプトを前のバージョンに戻せない場合は、しばらく更新を控えてください。
- モデルおよびstateをHuggingFaceにアップロードする機能を各スクリプトに追加しました。 [PR #348](https://github.com/kohya-ss/sd-scripts/pull/348) ddPn08 氏の貢献に感謝します。
- `--huggingface_repo_id`が指定されているとモデル保存時に同時にHuggingFaceにアップロードします。
- アクセストークンの取り扱いに注意してください。[HuggingFaceのドキュメント](https://huggingface.co/docs/hub/security-tokens)を参照してください。
- 他の引数をたとえば以下のように指定してください。
- `--huggingface_repo_id "your-hf-name/your-model" --huggingface_path_in_repo "path" --huggingface_repo_type model --huggingface_repo_visibility private --huggingface_token hf_YourAccessTokenHere`
- `--huggingface_repo_visibility`に`public`を指定するとリポジトリが公開されます。省略時または`private`（など`public`以外）を指定すると非公開になります。
- `--save_state`オプション指定時に`--save_state_to_huggingface`を指定するとstateもアップロードします。
- `--resume`オプション指定時に`--resume_from_huggingface`を指定するとHuggingFaceからstateをダウンロードして再開します。
- その時の `--resume`オプションは `--resume {repo_id}/{path_in_repo}:{revision}:{repo_type}`になります。例: `--resume_from_huggingface --resume your-hf-name/your-model/path/test-000002-state:main:model`
- `--async_upload`オプションを指定するとアップロードを非同期で行います。
- [LoRAの文書](./train_network_README-ja.md#diffusersのpipelineで生成する)に、LoRAを適用してDiffusersの標準的なパイプラインで生成する方法を追記しました。
- `gen_img_diffusers.py` で Attention Couple および領域別LoRAに対応しました。
- プロンプトを` AND `で区切ると各サブプロンプトが順にLoRAに適用されます。`--mask_path` がマスク画像として扱われます。サブプロンプトの数とLoRAの数は一致している必要があります。
### 4 Apr. 2023, 2023/4/4, Release 0.6.0:
- There may be bugs because I changed a lot. If you cannot revert the script to the previous version when a problem occurs, please wait for the update for a while. - There may be bugs because I changed a lot. If you cannot revert the script to the previous version when a problem occurs, please wait for the update for a while.
- The learning rate and dim (rank) of each block may not work with other modules (LyCORIS, etc.) because the module needs to be changed. - The learning rate and dim (rank) of each block may not work with other modules (LyCORIS, etc.) because the module needs to be changed.