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# ComfyUI-TrainTools-MZ
在ComfyUI中进行lora微调的节点,依赖于kohya-ss/sd-scripts等训练工具
## Recent changes
## Installation
1. Clone this repo into `custom_nodes` folder.
@@ -13,15 +15,39 @@
## Nodes
### MZ_KohyaSSInitWorkspace
初始化训练文件夹,文件夹位于output目录
![image](https://github.com/MinusZoneAI/ComfyUI-TrainTools-MZ/assets/5035199/338bf5b6-58be-47a1-9450-72bd3f238855)
初始化训练文件夹,文件夹位于output目录(Initialize the training folder, the folder in the output directory)
+ lora_name(LoRa名称): 用于生成训练文件夹的名称(Used to generate the name of the training folder
+ branch(分支): sd-scripts的分支,默认为当前代码调试时使用的分支(sd-scripts branch, default is the branch used when debugging the current code)
+ source(源): sd-scripts的源,默认为github,下载有问题的话可以切换加速源(sd-scripts source, default is github, if there is a problem with the download, you can switch to the accelerated source)
### MZ_ImagesCopyWorkspace
复制图片到训练文件夹中和一些数据集配置(Copy images to the training folder and some dataset configurations)
+ images(图片列表): 推荐使用 https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite 中的上传文件夹节点 (It is recommended to use the upload folder node in https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite )
+ force_clear(强制清空): 复制图片前是否强制清空原有文件夹内容(Whether to force clear the original folder content before copying the image)
+ force_clear_only_images(仅清空图片): 仅清空图片文件夹内容,不清空其他文件夹内容(Only clear the content of the image folder, not the content of other folders)
+ same_caption_generate(生成相同标注): 是否生成相同的标注文件(Whether to generate the same annotation file)
+ same_caption(单一标签): 生成相同标签的内容(Generate content with the same label)
+ 其他字段参考: https://github.com/kohya-ss/sd-scripts
![image](https://github.com/MinusZoneAI/ComfyUI-TrainTools-MZ/assets/5035199/b2eb8f78-9314-4860-9248-8c04f87bc470)
### MZ_KohyaSSUseConfig
一些基础的训练配置(Some basic training configurations)
+ 没什么特殊的,字段参考: https://github.com/kohya-ss/sd-scripts
### MZ_KohyaSSAdvConfig
更多的训练配置(More training configurations)
+ 没什么特殊的,字段参考: https://github.com/kohya-ss/sd-scripts
### MZ_KohyaSSTrain
训练主线程(Training main thread)
+ base_lora(基础lora): 加载一个lora模型后进行训练,和sd-scripts中的`network_weights`参数一致,启用时忽略dim/alpha/dropout(Train after loading a lora model, consistent with the `network_weights` parameter in sd-scripts, ignore dim/alpha/dropout when enabled)
+ sample_generate(启用样图生成): 每次保存模型时进行一次示例图片生成,并展示训练过程中每个保存epoch时的示例图片(Enable example image generation each time the model is saved, and display the example image at each saved epoch during training)
+ sample_prompt(提示词): 生成示例图片时使用的提示词(Phrase used when generating example images)
## FAQ
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"custom_height": 512,
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"filename": "初中就爱听的女团初恋,甜甜的(_´͈_⌵_`͈_)σண❤️.初中就爱听的女团初恋,甜甜的(_´͈_⌵_`͈_)σண❤️.1018975724.mp4",
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