Instructions to use google/ddpm-cifar10-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use google/ddpm-cifar10-32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("google/ddpm-cifar10-32", 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
Fix broken link for inference example
#9
by mxwsn - opened
README.md
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@@ -46,7 +46,7 @@ image = ddpm()["sample"]
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image[0].save("ddpm_generated_image.png")
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```
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For more in-detail information, please have a look at the [official inference example](
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## Training
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image[0].save("ddpm_generated_image.png")
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```
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For more in-detail information, please have a look at the [official inference example](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/diffusers_intro.ipynb)
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## Training
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