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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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This model is a diffusion model for unconditional image generation of [Bored Apes](https://opensea.io/collection/boredapeyachtclub). |
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## Example |
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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('daspartho/bored-ape-diffusion') |
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image = pipeline().images[0] |
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image |
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``` |
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## Training |
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The model is trained on [this dataset](https://huggingface.co/datasets/daspartho/bored-ape) of 10000 Bored Ape images. |
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[Notebook](https://github.com/daspartho/bored-ape-diffusion/blob/main/main.ipynb) for training the model is available on GitHub repo. |
