Create README.md

README.md

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+---
+license: mit
+tags:
+- pytorch
+- diffusers
+- unconditional-image-generation
+- diffusion-models-class
+---
+
+This model is a diffusion model for unconditional image generation of [Bored Apes](https://opensea.io/collection/boredapeyachtclub).
+
+## Example
+![example.png](https://s3.amazonaws.com/moonup/production/uploads/1670089095011-630283a6b002e9a4a216f3e4.png)
+
+## Usage
+
+```python
+from diffusers import DDPMPipeline
+
+pipeline = DDPMPipeline.from_pretrained('daspartho/bored-ape-diffusion')
+image = pipeline().images[0]
+image
+```
+
+## Training
+The model is trained on [this dataset](https://huggingface.co/datasets/daspartho/bored-ape) of 10000 Bored Ape images.
+
+[Notebook](https://github.com/daspartho/bored-ape-diffusion/blob/main/main.ipynb) for training the model is available on GitHub repo.