From 0a4194d1a1c6e6ce6759dfbf856e8cfe87af2393 Mon Sep 17 00:00:00 2001 From: Georg Zoeller Date: Fri, 23 Dec 2022 22:55:19 +0800 Subject: [PATCH] Added LORA, StableTuner Signed-off-by: Georg Zoeller --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 0a35bfc..ab769bb 100644 --- a/README.md +++ b/README.md @@ -109,8 +109,13 @@ Tools and models for use in conjuction with Stable Diffusion ## Training + * [Dreambooth-Stable-Diffusion](https://github.com/XavierXiao/Dreambooth-Stable-Diffusion) - Implementation of [Google's DreamBooth](https://arxiv.org/abs/2208.12242) for stable diffusion, allowing fine-tuning of the model for specific concepts. +* [LORA](https://github.com/cloneofsimo/lora) - LORA (Low-rank Adaptation) for Faster Text-to-Image Diffusion Fine-tuning (UNET+CLIP), a faster, more efficient Fine tuning method requiring less RAM than Dreambooth. [Huggingface demo here](https://huggingface.co/spaces/ysharma/Low-rank-Adaptation). + +* [Stable Tuner](https://github.com/devilismyfriend/StableTuner) - Stable Tuner, an easy to install Dreambooth trainer with a very comfortable user interface. + * [Stable Diffusion Trainer](https://github.com/CCRcmcpe/scal-sdt) - Stable Diffusion trainer with scalable dataset size and hardware usage. Requires 10G of VRAM. * [textual-inversion](https://github.com/rinongal/textual_inversion) - Addition of personalized content to Stable Diffusion without retraining the model ([Paper](https://textual-inversion.github.io/), [Paper2](https://dreambooth.github.io/)).