Lora Trainer Xl Legacy Ipynb Colab

There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. UPDATE: https://civitai.com/articles/4121/sdxl-lora-training-guide-2024-feb-colabNew article for 2024 with colab link and video walkthrough :)If you want to train SDXL Lora feel free to use my Fork of Linaqrufs trainer:https://github.com/MushroomFleet/unsorted-projects/blob/main/Johnsons_fork_230727_SDXL_1_0_kohya_LoRA_trainer_XL.ipynbYou gotta put in your huggingface token as... After that remember to set the filename for your Lora.

The Notebook is currently setup for A100 using Batch 30. Using V100 you should be able to run batch 12. Using T4 you might reduce to 8. Keep in mind you will need more than 12gb of system ram, so select "high system ram option" if you do not use A100.The defaults you see i have used to train a bunch... so when it updates, you must go to the Authors site which is linked in the Notebook. Accessible Google Colab notebooks for Stable Diffusion Lora training, based on the work of kohya-ss and Linaqruf.

If you need support I now have a public Discord server UPDATE: https://civitai.com/articles/4121/sdxl-lora-training-guide-2024-feb-colabNew article for 2024 with colab link and video walkthrough :)https://colab.research.google.com/github/Linaqruf/kohya-trainer/blob/main/kohya-LoRA-trainer-XL.ipynb Linaqruf has a version available you can use to train these LORA: Kohya's LoRA renamed to LoRA-LierLa and Kohya's LoCon renamed to LoRA-C3Lier, read official announcement. https://github.com/kohya-ss/sd-scripts/blob/849bc24d205a35fbe1b2a4063edd7172533c1c01/README.md#naming-of-lora I found that using the T4 GPU you can train batch 8 at 1024,1024 you mileage may very depending on the choices you make.

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