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library_name: diffusers
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license: mit
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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 safe images from
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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.
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In the future, we will release additional safe models, including the safe-SDXL.
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library_name: diffusers
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license: mit
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---
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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.
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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.
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In the future, we will release additional safe models, including the safe-SDXL.
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# Usage
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A simple use case of our model is:
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```
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from diffusers import DiffusionPipeline
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pipe = DiffusionPipeline.from_pretrained("Visualignment/safe-stable-diffusion-v1-5")
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prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
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image = pipe(prompt).images[0]
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```
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