mirror of https://github.com/bmaltais/kohya_ss
Remove torch 1 support from code
bmaltais
parent
1deb505922
commit
93a181f55b
16
README.md
16
README.md
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@ -625,6 +625,9 @@ ControlNet-LLLite, a novel method for ControlNet with SDXL, is added. See [docum
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## Change History
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* 2023/10/08 (v22.1.0)
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- Remove support for torch 1 to align with kohya_ss sd-scripts code base.
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* 2023/10/01 (v22.0.0)
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- Merging main branch of sd-scripts:
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- [SAI Model Spec](https://github.com/Stability-AI/ModelSpec) metadata is now supported partially. `hash_sha256` is not supported yet.
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@ -648,16 +651,3 @@ ControlNet-LLLite, a novel method for ControlNet with SDXL, is added. See [docum
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- Update wandb module version
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- Add support for Chinese zh-CN localisation. You can use it with `.\gui.bat --language=zh-CN`
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- Add presets support to `Finetuning`. You can add your own finetuning user presets under the `/presets/finetune/user_presets` folder.
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* 2023/09/23 (v21.8.10)
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- Minor point upgrade. Mostly adding a new preset.
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* 2023/08/05 (v21.8.9)
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- Update sd-script to caode as of Sept 3 2023
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* ControlNet-LLLite is added. See documentation for details.
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* JPEG XL is supported. #786
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* Peak memory usage is reduced. #791
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* Input perturbation noise is added. See #798 for details.
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* Dataset subset now has caption_prefix and caption_suffix options. The strings are added to the beginning and the end of the captions before shuffling. You can specify the options in .toml.
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* Other minor changes.
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- Added support for Chinese locallisation
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@ -1,188 +1,188 @@
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嗨!我把日语 README 文件的主要内容翻译成中文如下:
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## 关于这个仓库
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这个是用于Stable Diffusion模型训练、图像生成和其他脚本的仓库。
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[英文版 README](./README.md) <-- 更新信息在这里
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GUI和PowerShell脚本等使其更易用的功能在[bmaltais的仓库](https://github.com/bmaltais/kohya_ss)(英语)中提供,一并参考。感谢bmaltais。
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包含以下脚本:
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* 支持DreamBooth、U-Net和文本编码器的训练
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* fine-tuning的支持
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* 图像生成
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* 模型转换(Stable Diffusion ckpt/safetensors 和 Diffusers之间的相互转换)
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## 使用方法 (中国用户只需要按照这个安装教程操作）
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- 进入kohya_ss文件夹根目录下，点击 setup.bat 启动安装程序 *（需要科学上网）
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- 根据界面上给出的英文选项：
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Kohya_ss GUI setup menu:
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1. Install kohya_ss gui
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2. (Optional) Install cudann files (avoid unless you really need it)
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3. (Optional) Install specific bitsandbytes versions
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4. (Optional) Manually configure accelerate
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5. (Optional) Start Kohya_ss GUI in browser
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6. Quit
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Enter your choice: 1
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1. Torch 1 (legacy, no longer supported. Will be removed in v21.9.x)
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2. Torch 2 (recommended)
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3. Cancel
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Enter your choice: 2
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开始安装环境依赖，接着再出来的选项，按照下列选项操作：
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```txt
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- This machine
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- No distributed training
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- NO
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- NO
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- NO
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- all
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- bf16
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```
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--------------------------------------------------------------------
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这里都选择完毕，即可关闭终端窗口，直接点击 gui.bat或者 kohya中文启动器.bat 即可运行kohya
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当仓库内和note.com有相关文章,请参考那里。(未来可能全部移到这里)
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* [关于训练,通用篇](./docs/train_README-ja.md): 数据准备和选项等
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* [数据集设置](./docs/config_README-ja.md)
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* [DreamBooth训练指南](./docs/train_db_README-ja.md)
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* [fine-tuning指南](./docs/fine_tune_README_ja.md)
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* [LoRA训练指南](./docs/train_network_README-ja.md)
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* [文本反转训练指南](./docs/train_ti_README-ja.md)
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* [图像生成脚本](./docs/gen_img_README-ja.md)
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* note.com [模型转换脚本](https://note.com/kohya_ss/n/n374f316fe4ad)
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## Windows环境所需程序
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需要Python 3.10.6和Git。
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- Python 3.10.6: https://www.python.org/ftp/python/3.10.6/python-3.10.6-amd64.exe
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- git: https://git-scm.com/download/win
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如果要在PowerShell中使用venv,需要按以下步骤更改安全设置:
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(不仅仅是venv,使脚本可以执行。请注意。)
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- 以管理员身份打开PowerShell
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- 输入"Set-ExecutionPolicy Unrestricted",选择Y
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- 关闭管理员PowerShell
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## 在Windows环境下安装
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下例中安装的是PyTorch 1.12.1/CUDA 11.6版。如果要使用CUDA 11.3或PyTorch 1.13,请适当修改。
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(如果只显示"python",请将下例中的"python"改为"py")
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在普通(非管理员)PowerShell中依次执行以下命令:
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```powershell
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git clone https://github.com/kohya-ss/sd-scripts.git
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cd sd-scripts
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python -m venv venv
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.\venv\Scripts\activate
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pip install torch==1.12.1+cu116 torchvision==0.13.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116
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pip install --upgrade -r requirements.txt
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pip install -U -I --no-deps https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl
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cp .\bitsandbytes_windows\*.dll .\venv\Lib\site-packages\bitsandbytes\
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cp .\bitsandbytes_windows\cextension.py .\venv\Lib\site-packages\bitsandbytes\cextension.py
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cp .\bitsandbytes_windows\main.py .\venv\Lib\site-packages\bitsandbytes\cuda_setup\main.py
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accelerate config
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```
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在命令提示符中:
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```bat
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git clone https://github.com/kohya-ss/sd-scripts.git
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cd sd-scripts
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python -m venv venv
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.\venv\Scripts\activate
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pip install torch==1.12.1+cu116 torchvision==0.13.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116
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pip install --upgrade -r requirements.txt
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pip install -U -I --no-deps https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl
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copy /y .\bitsandbytes_windows\*.dll .\venv\Lib\site-packages\bitsandbytes\
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copy /y .\bitsandbytes_windows\cextension.py .\venv\Lib\site-packages\bitsandbytes\cextension.py
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copy /y .\bitsandbytes_windows\main.py .\venv\Lib\site-packages\bitsandbytes\cuda_setup\main.py
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accelerate config
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```
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accelerate config的问题请按以下回答:
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(如果要用bf16训练,最后一个问题选择bf16)
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```
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- 此计算机
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- 不进行分布式训练
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- 否
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- 否
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- 否
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- 所有
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- fp16
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```
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### PyTorch和xformers版本注意事项
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在其他版本中训练可能失败。如果没有特殊原因,请使用指定版本。
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### 可选:使用Lion8bit
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如果要使用Lion8bit,需要将`bitsandbytes`升级到0.38.0以上。首先卸载`bitsandbytes`,然后在Windows中安装适合Windows的whl文件,例如[这里的](https://github.com/jllllll/bitsandbytes-windows-webui)。例如:
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```powershell
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pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl
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```
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升级时用`pip install .`更新这个仓库,并视情况升级其他包。
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### 可选:使用PagedAdamW8bit和PagedLion8bit
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如果要使用PagedAdamW8bit和PagedLion8bit,需要将`bitsandbytes`升级到0.39.0以上。首先卸载`bitsandbytes`,然后在Windows中安装适合Windows的whl文件,例如[这里的](https://github.com/jllllll/bitsandbytes-windows-webui)。例如:
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```powershell
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pip install https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.39.1-py3-none-win_amd64.whl
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```
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升级时用`pip install .`更新这个仓库,并视情况升级其他包。
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## 升级
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如果有新版本,可以用以下命令更新:
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```powershell
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cd sd-scripts
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git pull
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.\venv\Scripts\activate
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pip install --use-pep517 --upgrade -r requirements.txt
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```
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如果命令成功,就可以使用新版本了。
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## 致谢
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LoRA实现基于[cloneofsimo的仓库](https://github.com/cloneofsimo/lora)。表示感谢。
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将Conv2d 3x3扩展到所有层起初由 [cloneofsimo](https://github.com/cloneofsimo/lora) 发布, [KohakuBlueleaf](https://github.com/KohakuBlueleaf/LoCon) 证明了其有效性。深深感谢 KohakuBlueleaf。
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## 许可
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脚本遵循 ASL 2.0 许可,但包含其他许可的代码部分(Diffusers和cloneofsimo的仓库)。
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[Memory Efficient Attention Pytorch](https://github.com/lucidrains/memory-efficient-attention-pytorch): MIT
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[bitsandbytes](https://github.com/TimDettmers/bitsandbytes): MIT
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嗨!我把日语 README 文件的主要内容翻译成中文如下:
|
||||
|
||||
## 关于这个仓库
|
||||
|
||||
这个是用于Stable Diffusion模型训练、图像生成和其他脚本的仓库。
|
||||
|
||||
[英文版 README](./README.md) <-- 更新信息在这里
|
||||
|
||||
GUI和PowerShell脚本等使其更易用的功能在[bmaltais的仓库](https://github.com/bmaltais/kohya_ss)(英语)中提供,一并参考。感谢bmaltais。
|
||||
|
||||
包含以下脚本:
|
||||
|
||||
* 支持DreamBooth、U-Net和文本编码器的训练
|
||||
* fine-tuning的支持
|
||||
* 图像生成
|
||||
* 模型转换(Stable Diffusion ckpt/safetensors 和 Diffusers之间的相互转换)
|
||||
|
||||
## 使用方法 (中国用户只需要按照这个安装教程操作）
|
||||
- 进入kohya_ss文件夹根目录下，点击 setup.bat 启动安装程序 *（需要科学上网）
|
||||
- 根据界面上给出的英文选项：
|
||||
Kohya_ss GUI setup menu:
|
||||
|
||||
1. Install kohya_ss gui
|
||||
2. (Optional) Install cudann files (avoid unless you really need it)
|
||||
3. (Optional) Install specific bitsandbytes versions
|
||||
4. (Optional) Manually configure accelerate
|
||||
5. (Optional) Start Kohya_ss GUI in browser
|
||||
6. Quit
|
||||
|
||||
Enter your choice: 1
|
||||
|
||||
1. Torch 1 (legacy, no longer supported. Will be removed in v21.9.x)
|
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2. Torch 2 (recommended)
|
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3. Cancel
|
||||
|
||||
Enter your choice: 2
|
||||
|
||||
开始安装环境依赖，接着再出来的选项，按照下列选项操作：
|
||||
```txt
|
||||
- This machine
|
||||
- No distributed training
|
||||
- NO
|
||||
- NO
|
||||
- NO
|
||||
- all
|
||||
- bf16
|
||||
```
|
||||
--------------------------------------------------------------------
|
||||
这里都选择完毕，即可关闭终端窗口，直接点击 gui.bat或者 kohya中文启动器.bat 即可运行kohya
|
||||
|
||||
|
||||
当仓库内和note.com有相关文章,请参考那里。(未来可能全部移到这里)
|
||||
|
||||
* [关于训练,通用篇](./docs/train_README-ja.md): 数据准备和选项等
|
||||
* [数据集设置](./docs/config_README-ja.md)
|
||||
* [DreamBooth训练指南](./docs/train_db_README-ja.md)
|
||||
* [fine-tuning指南](./docs/fine_tune_README_ja.md)
|
||||
* [LoRA训练指南](./docs/train_network_README-ja.md)
|
||||
* [文本反转训练指南](./docs/train_ti_README-ja.md)
|
||||
* [图像生成脚本](./docs/gen_img_README-ja.md)
|
||||
* note.com [模型转换脚本](https://note.com/kohya_ss/n/n374f316fe4ad)
|
||||
|
||||
## Windows环境所需程序
|
||||
|
||||
需要Python 3.10.6和Git。
|
||||
|
||||
- Python 3.10.6: https://www.python.org/ftp/python/3.10.6/python-3.10.6-amd64.exe
|
||||
- git: https://git-scm.com/download/win
|
||||
|
||||
如果要在PowerShell中使用venv,需要按以下步骤更改安全设置:
|
||||
(不仅仅是venv,使脚本可以执行。请注意。)
|
||||
|
||||
- 以管理员身份打开PowerShell
|
||||
- 输入"Set-ExecutionPolicy Unrestricted",选择Y
|
||||
- 关闭管理员PowerShell
|
||||
|
||||
## 在Windows环境下安装
|
||||
|
||||
下例中安装的是PyTorch 1.12.1/CUDA 11.6版。如果要使用CUDA 11.3或PyTorch 1.13,请适当修改。
|
||||
|
||||
(如果只显示"python",请将下例中的"python"改为"py")
|
||||
|
||||
在普通(非管理员)PowerShell中依次执行以下命令:
|
||||
|
||||
```powershell
|
||||
git clone https://github.com/kohya-ss/sd-scripts.git
|
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cd sd-scripts
|
||||
|
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python -m venv venv
|
||||
.\venv\Scripts\activate
|
||||
|
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pip install torch==1.12.1+cu116 torchvision==0.13.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116
|
||||
pip install --upgrade -r requirements.txt
|
||||
pip install -U -I --no-deps https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl
|
||||
|
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cp .\bitsandbytes_windows\*.dll .\venv\Lib\site-packages\bitsandbytes\
|
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cp .\bitsandbytes_windows\cextension.py .\venv\Lib\site-packages\bitsandbytes\cextension.py
|
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cp .\bitsandbytes_windows\main.py .\venv\Lib\site-packages\bitsandbytes\cuda_setup\main.py
|
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|
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accelerate config
|
||||
```
|
||||
|
||||
在命令提示符中:
|
||||
|
||||
```bat
|
||||
git clone https://github.com/kohya-ss/sd-scripts.git
|
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cd sd-scripts
|
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|
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python -m venv venv
|
||||
.\venv\Scripts\activate
|
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|
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pip install torch==1.12.1+cu116 torchvision==0.13.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116
|
||||
pip install --upgrade -r requirements.txt
|
||||
pip install -U -I --no-deps https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl
|
||||
|
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copy /y .\bitsandbytes_windows\*.dll .\venv\Lib\site-packages\bitsandbytes\
|
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copy /y .\bitsandbytes_windows\cextension.py .\venv\Lib\site-packages\bitsandbytes\cextension.py
|
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copy /y .\bitsandbytes_windows\main.py .\venv\Lib\site-packages\bitsandbytes\cuda_setup\main.py
|
||||
|
||||
accelerate config
|
||||
```
|
||||
|
||||
accelerate config的问题请按以下回答:
|
||||
(如果要用bf16训练,最后一个问题选择bf16)
|
||||
|
||||
```
|
||||
- 此计算机
|
||||
- 不进行分布式训练
|
||||
- 否
|
||||
- 否
|
||||
- 否
|
||||
- 所有
|
||||
- fp16
|
||||
```
|
||||
|
||||
### PyTorch和xformers版本注意事项
|
||||
|
||||
在其他版本中训练可能失败。如果没有特殊原因,请使用指定版本。
|
||||
|
||||
|
||||
### 可选:使用Lion8bit
|
||||
|
||||
如果要使用Lion8bit,需要将`bitsandbytes`升级到0.38.0以上。首先卸载`bitsandbytes`,然后在Windows中安装适合Windows的whl文件,例如[这里的](https://github.com/jllllll/bitsandbytes-windows-webui)。例如:
|
||||
|
||||
```powershell
|
||||
pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl
|
||||
```
|
||||
|
||||
升级时用`pip install .`更新这个仓库,并视情况升级其他包。
|
||||
|
||||
### 可选:使用PagedAdamW8bit和PagedLion8bit
|
||||
|
||||
如果要使用PagedAdamW8bit和PagedLion8bit,需要将`bitsandbytes`升级到0.39.0以上。首先卸载`bitsandbytes`,然后在Windows中安装适合Windows的whl文件,例如[这里的](https://github.com/jllllll/bitsandbytes-windows-webui)。例如:
|
||||
|
||||
```powershell
|
||||
pip install https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.39.1-py3-none-win_amd64.whl
|
||||
```
|
||||
|
||||
升级时用`pip install .`更新这个仓库,并视情况升级其他包。
|
||||
|
||||
## 升级
|
||||
|
||||
如果有新版本,可以用以下命令更新:
|
||||
|
||||
```powershell
|
||||
cd sd-scripts
|
||||
git pull
|
||||
.\venv\Scripts\activate
|
||||
pip install --use-pep517 --upgrade -r requirements.txt
|
||||
```
|
||||
|
||||
如果命令成功,就可以使用新版本了。
|
||||
|
||||
## 致谢
|
||||
|
||||
LoRA实现基于[cloneofsimo的仓库](https://github.com/cloneofsimo/lora)。表示感谢。
|
||||
|
||||
将Conv2d 3x3扩展到所有层起初由 [cloneofsimo](https://github.com/cloneofsimo/lora) 发布, [KohakuBlueleaf](https://github.com/KohakuBlueleaf/LoCon) 证明了其有效性。深深感谢 KohakuBlueleaf。
|
||||
|
||||
## 许可
|
||||
|
||||
脚本遵循 ASL 2.0 许可,但包含其他许可的代码部分(Diffusers和cloneofsimo的仓库)。
|
||||
|
||||
[Memory Efficient Attention Pytorch](https://github.com/lucidrains/memory-efficient-attention-pytorch): MIT
|
||||
|
||||
[bitsandbytes](https://github.com/TimDettmers/bitsandbytes): MIT
|
||||
|
||||
[BLIP](https://github.com/salesforce/BLIP): BSD-3-Clause
|
||||
|
|
@ -1,8 +0,0 @@
|
|||
@echo off
|
||||
|
||||
call gui.bat --language zh-CN --inbrowser --share --headless
|
||||
|
||||
echo 完成。
|
||||
|
||||
pause
|
||||
endlocal
|
||||
|
|
@ -13,7 +13,7 @@ huggingface-hub==0.15.1
|
|||
# for loading Diffusers' SDXL
|
||||
invisible-watermark==0.2.0
|
||||
lion-pytorch==0.0.6
|
||||
lycoris_lora==1.8.3
|
||||
lycoris_lora==1.9.0
|
||||
# for BLIP captioning
|
||||
# requests==2.28.2
|
||||
# timm==0.6.12
|
||||
|
|
|
|||
|
|
@ -98,31 +98,31 @@ def sync_bits_and_bytes_files():
|
|||
log.error(f'An unexpected error occurred: {e}')
|
||||
|
||||
|
||||
def install_kohya_ss_torch1():
|
||||
setup_common.check_repo_version()
|
||||
setup_common.check_python()
|
||||
# def install_kohya_ss_torch1():
|
||||
# setup_common.check_repo_version()
|
||||
# setup_common.check_python()
|
||||
|
||||
# Upgrade pip if needed
|
||||
setup_common.install('--upgrade pip')
|
||||
# # Upgrade pip if needed
|
||||
# setup_common.install('--upgrade pip')
|
||||
|
||||
if setup_common.check_torch() == 2:
|
||||
input(
|
||||
f'{YELLOW}\nTorch 2 is already installed in the venv. To install Torch 1 delete the venv and re-run setup.bat\n\nHit enter to continue...{RESET_COLOR}'
|
||||
)
|
||||
return
|
||||
# if setup_common.check_torch() == 2:
|
||||
# input(
|
||||
# f'{YELLOW}\nTorch 2 is already installed in the venv. To install Torch 1 delete the venv and re-run setup.bat\n\nHit enter to continue...{RESET_COLOR}'
|
||||
# )
|
||||
# return
|
||||
|
||||
# setup_common.install(
|
||||
# 'torch==1.12.1+cu116 torchvision==0.13.1+cu116 --index-url https://download.pytorch.org/whl/cu116',
|
||||
# 'torch torchvision'
|
||||
# )
|
||||
# setup_common.install(
|
||||
# 'https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl -U -I --no-deps',
|
||||
# 'xformers-0.0.14'
|
||||
# )
|
||||
setup_common.install_requirements('requirements_windows_torch1.txt', check_no_verify_flag=False)
|
||||
sync_bits_and_bytes_files()
|
||||
setup_common.configure_accelerate(run_accelerate=True)
|
||||
# run_cmd(f'accelerate config')
|
||||
# # setup_common.install(
|
||||
# # 'torch==1.12.1+cu116 torchvision==0.13.1+cu116 --index-url https://download.pytorch.org/whl/cu116',
|
||||
# # 'torch torchvision'
|
||||
# # )
|
||||
# # setup_common.install(
|
||||
# # 'https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl -U -I --no-deps',
|
||||
# # 'xformers-0.0.14'
|
||||
# # )
|
||||
# setup_common.install_requirements('requirements_windows_torch1.txt', check_no_verify_flag=False)
|
||||
# sync_bits_and_bytes_files()
|
||||
# setup_common.configure_accelerate(run_accelerate=True)
|
||||
# # run_cmd(f'accelerate config')
|
||||
|
||||
|
||||
def install_kohya_ss_torch2():
|
||||
|
|
@ -177,23 +177,24 @@ def main_menu():
|
|||
print('')
|
||||
|
||||
if choice == '1':
|
||||
while True:
|
||||
print('1. Torch 1 (legacy, no longer supported. Will be removed in v21.9.x)')
|
||||
print('2. Torch 2 (recommended)')
|
||||
print('3. Cancel')
|
||||
choice_torch = input('\nEnter your choice: ')
|
||||
print('')
|
||||
install_kohya_ss_torch2()
|
||||
# while True:
|
||||
# print('1. Torch 1 (legacy, no longer supported. Will be removed in v21.9.x)')
|
||||
# print('2. Torch 2 (recommended)')
|
||||
# print('3. Cancel')
|
||||
# choice_torch = input('\nEnter your choice: ')
|
||||
# print('')
|
||||
|
||||
if choice_torch == '1':
|
||||
install_kohya_ss_torch1()
|
||||
break
|
||||
elif choice_torch == '2':
|
||||
install_kohya_ss_torch2()
|
||||
break
|
||||
elif choice_torch == '3':
|
||||
break
|
||||
else:
|
||||
print('Invalid choice. Please enter a number between 1-3.')
|
||||
# if choice_torch == '1':
|
||||
# install_kohya_ss_torch1()
|
||||
# break
|
||||
# elif choice_torch == '2':
|
||||
# install_kohya_ss_torch2()
|
||||
# break
|
||||
# elif choice_torch == '3':
|
||||
# break
|
||||
# else:
|
||||
# print('Invalid choice. Please enter a number between 1-3.')
|
||||
elif choice == '2':
|
||||
cudann_install()
|
||||
elif choice == '3':
|
||||
|
|
|
|||
|
|
@ -110,10 +110,7 @@ def main():
|
|||
if args.requirements:
|
||||
setup_common.install_requirements(args.requirements, check_no_verify_flag=True)
|
||||
else:
|
||||
if torch_ver == 1:
|
||||
setup_common.install_requirements('requirements_windows_torch1.txt', check_no_verify_flag=True)
|
||||
else:
|
||||
setup_common.install_requirements('requirements_windows_torch2.txt', check_no_verify_flag=True)
|
||||
setup_common.install_requirements('requirements_windows_torch2.txt', check_no_verify_flag=True)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
|
|
|||
Loading…
Reference in New Issue