| 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] | |
| ``` |