From ca0b3b0b28ba216d10a5cff1ba922329c8883656 Mon Sep 17 00:00:00 2001 From: Yatharth Gupta Date: Tue, 24 Oct 2023 05:17:36 +0000 Subject: [PATCH] Add Training Methods --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 40020b0..f746fea 100644 --- a/README.md +++ b/README.md @@ -129,6 +129,14 @@ The Segmind Stable Diffusion Model is suitable for research and practical applic - **Bias and Limitation Analysis:** Researchers and developers can use the model to probe its limitations and biases, contributing to a better understanding of generative models' behavior. +### Downstream Use + +The Segmind Stable Diffusion Model can also be used directly with the 🧨 Diffusers library training scripts for further training, including: + +- **[Fine-Tune](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_sdxl.py)** +- **[LoRA](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_lora_sdxl.py)** +- **[Dreambooth LoRA](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/train_dreambooth_lora_sdxl.py)** + ### Out-of-Scope Use The SSD-1B Model is not suitable for creating factual or accurate representations of people, events, or real-world information. It is not intended for tasks requiring high precision and accuracy.