References

1. Edward J. et al, LoRA: Low-Rank Adaptation of Large Language Models: https://arxiv.org/abs/2106.09685
2. Simo Ryu (cloneofsimo), lora: https://github.com/cloneofsimo/lora
3. kohya_lora_loader: https://gist.github.com/takuma104/e38d683d72b1e448b8d9b3835f7cfa44
4. CIVITAI: https://www.civitai.com
5. Rinon Gal et al, An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion: https://textual-inversion.github.io/
6. Diffusers’ lora_state_dict function: https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/modeling_utils.py
7. Andrew Zhu, Improving Diffusers Package for High-Quality Image Generation: https://towardsdatascience.com/improving-diffusers-package-for-high-quality-image-generation-a50fff04bdd4
8. Armen et al, Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning: https://arxiv.org/abs/2012.13255
9. Hugging Face, LoRA: https://huggingface.co/docs/diffusers/training/lora...