49 lines
1.7 KiB
Markdown
49 lines
1.7 KiB
Markdown
# Kohya's dreambooth and finetuning
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This repository now includes the solutions provided by Kohya_ss in a single location. I have combined both solutions under one repository to align with the new official Kohya repository where he will maintain his code from now on: https://github.com/kohya-ss/sd-scripts.
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A note accompanying the release of his new repository can be found here: https://note.com/kohya_ss/n/nba4eceaa4594
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## Dreambooth
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You can find the dreambooth solution spercific [Dreambooth README](README_dreambooth.md)
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## Finetune
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You can find the finetune solution spercific [Finetune README](README_finetune.md)
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## LoRA
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You can create LoRA network by running the dedicated GUI with:
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```
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python lora_gui.py
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```
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or via the all in one GUI:
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```
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python kahya_gui.py
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```
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Once you have created the LoRA network you can generate images via auto1111 by installing the extension found here: https://github.com/kohya-ss/sd-webui-additional-networks
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## Change history
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* 2023/01/01 (v19.1) update:
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- merge kohys_ss upstream code updates
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- rework Dreambooth LoRA GUI
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- fix bug where LoRA network weights were not loaded to properly resume training
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* 2022/12/30 (v19) update:
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- support for LoRA network training in kohya_gui.py.
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* 2022/12/23 (v18.8) update:
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- Fix for conversion tool issue when the source was an sd1.x diffuser model
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- Other minor code and GUI fix
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* 2022/12/22 (v18.7) update:
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- Merge dreambooth and finetune is a common GUI
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- General bug fixes and code improvements
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* 2022/12/21 (v18.6.1) update:
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- fix issue with dataset balancing when the number of detected images in the folder is 0
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* 2022/12/21 (v18.6) update:
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- add optional GUI authentication support via: `python fine_tune.py --username=<name> --password=<password>` |