https://github.com/daspartho/bored-ape-diffusion
diffusion model for unconditional image generation of Bored Apes
https://github.com/daspartho/bored-ape-diffusion
bored-ape-yacht-club boredapes diffusers diffusion diffusion-models huggingface-datasets huggingface-diffusers image-generation
Last synced: 11 months ago
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diffusion model for unconditional image generation of Bored Apes
- Host: GitHub
- URL: https://github.com/daspartho/bored-ape-diffusion
- Owner: daspartho
- License: mit
- Created: 2022-12-03T03:36:00.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-18T18:38:28.000Z (about 3 years ago)
- Last Synced: 2025-03-30T04:11:49.588Z (12 months ago)
- Topics: bored-ape-yacht-club, boredapes, diffusers, diffusion, diffusion-models, huggingface-datasets, huggingface-diffusers, image-generation
- Language: Jupyter Notebook
- Homepage: https://huggingface.co/daspartho/bored-ape-diffusion
- Size: 892 KB
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Bored Ape Diffusion
Diffusion model for unconditional image generation of [Bored Apes](https://opensea.io/collection/boredapeyachtclub)
The trained [Model](https://huggingface.co/daspartho/bored-ape-diffusion) is uploaded on HuggingFace Hub.
## Example

## 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 I've uploaded on HuggingFace Hub.
Notebook for training the model is available [here](https://github.com/daspartho/bored-ape-diffusion/blob/main/main.ipynb).
## Acknowledgement
Special thanks to the awesome [Diffusion Models class](https://github.com/huggingface/diffusion-models-class) by Jonathan Whitaker and the HuggingFace team.