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--- |
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license: mit |
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tags: |
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- pytorch |
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- diffusers |
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- unconditional-image-generation |
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- diffusion-models-class |
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--- |
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# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) |
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This model is a diffusion model for unconditional image generation of black-and-white images of handwritten digits. |
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The number of cycles of the training loop is 10. |
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Learning rate is 4e-4. |
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This model has a good generation effect. |
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## Usage |
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```python |
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from diffusers import DDPMPipeline |
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pipeline = DDPMPipeline.from_pretrained('BackTo2014/mnist-demo3') |
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image = pipeline().images[0] |
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image |
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``` |
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