Instructions to use Visualignment/safe-stable-diffusion-v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Visualignment/safe-stable-diffusion-v1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Visualignment/safe-stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
This is the official released checkpoint of an algined Stable Diffusion v1.5 of SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation, designed to generate more safe images from our Safe-SD1.5.
Our project page is 🏠SafetyDPO HomePage and the GitHub repo is ⚙️SafetyDPO GitHub 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]
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