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Update README.md
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README.md
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@@ -66,6 +66,42 @@ Using the model to generate content that is cruel to individuals is a misuse of
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- Sharing of copyrighted or licensed material in violation of its terms of use.
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- Sharing content that is an alteration of copyrighted or licensed material in violation of its terms of use.
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## Limitations and Bias
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### Limitations
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- Sharing of copyrighted or licensed material in violation of its terms of use.
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- Sharing content that is an alteration of copyrighted or licensed material in violation of its terms of use.
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## Diffusers
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As soon as you have been added to this organization you can use stable diffusion out of the box!
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Example:
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```
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!pip install diffusers==0.2.2
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```
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```python
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# make sure you're logged in with `huggingface-cli login`
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from torch import autocast
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from diffusers import StableDiffusionPipeline, LMSDiscreteScheduler
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lms = LMSDiscreteScheduler(
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beta_start=0.00085,
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beta_end=0.012,
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beta_schedule="scaled_linear"
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)
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pipe = StableDiffusionPipeline.from_pretrained(
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"CompVis/stable-diffusion-v1-3-diffusers",
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scheduler=lms,
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use_auth_token=True
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)
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prompt = "a photo of an astronaut riding a horse on mars"
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with autocast("cuda"):
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image = pipe(prompt, width=768, guidance_scale=7)["sample"][0]
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image.save("astronaut_rides_horse.png")
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```
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For more in-detail explanations see [the stable diffusion notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_diffusion.ipynb).
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## Limitations and Bias
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### Limitations
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