---
library_name: diffusers
license: mit
pipeline_tag: text-to-image
---

This is the official released checkpoint of **an aligned Stable Diffusion v1.5** based on the method presented in [AlignGuard: Scalable Safety Alignment for Text-to-Image Generation](https://huggingface.co/papers/2412.10493), designed to generate safer images.

Our project page is [🏠SafetyDPO HomePage](https://safetydpo.github.io/) and the GitHub repo is [⚙️SafetyDPO GitHub](https://github.com/Visualignment/SafetyDPO) where we released all the code and the data.

In the future, we will release additional safe models, including the safe-SDXL.

# Usage
A simple use case of our model is:
```
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("Visualignment/safe-stable-diffusion-v1-5")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]
```