Update README.md

README.md

@@ -7,6 +7,8 @@ Combining Noise-Conditioned Perception with DPO significantly outperforms baseli
 
 We publish LoRA weights that are trained for 10 H100 GPU hours on a small subset of a Pick-a-Picv2 dataset. We removed all non-absolute winners for each prompt and our final prompts and image ids can be found [here](https://drive.google.com/file/d/1q1fvItyLq2YI_O6oNLyNYiB9opeZLYdB/view?usp=sharing)
 
+training code: https://github.com/sakharok13/Aligning-Stable-Diffusion-with-Noise-Conditioned-Perception
+
 To try our LoRA weights and compare with a baseline:
 ```python
 from diffusers import DiffusionPipeline