Using Low-rank adaptation to quickly fine-tune diffusion models.
Quickly adjust and improve image generation models using a simple fine-tuning method.
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lora has 7.5k stars on GitHub. It has been forked 496 times. lora is written mainly in Jupyter Notebook. It has been in active development since 2022. lora is available under the Apache-2.0 license. Its main topics are diffusion, dreambooth, fine-tuning, lora.
Using Low-rank adaptation to quickly fine-tune diffusion models.
lora is an open-source project. It is released under the Apache-2.0 license.
Yes. lora is free and open source — you can use, modify and self-host it.
lora is available under the Apache-2.0 license.
lora is written mainly in Jupyter Notebook.
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