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ddpm-cifar10-32

Unconditional Image Generation
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PyTorch
DDPMPipeline
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patrickvonplaten commited on
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Update README.md

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@@ -39,8 +39,7 @@ model_id = "google/ddpm-cifar10-32"
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  ddpm = DDPMPipeline.from_pretrained(model_id) # you can replace DDPMPipeline with DDIMPipeline or PNDMPipeline for faster inference
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  # run pipeline in inference (sample random noise and denoise)
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- image = ddpm()["sample"]
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-
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  # save image
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  image[0].save("ddpm_generated_image.png")
 
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  ddpm = DDPMPipeline.from_pretrained(model_id) # you can replace DDPMPipeline with DDIMPipeline or PNDMPipeline for faster inference
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  # run pipeline in inference (sample random noise and denoise)
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+ image = ddpm().image
 
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  # save image
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  image[0].save("ddpm_generated_image.png")