This model is a diffusion model for unconditional image generation of Bored Apes.

Example

Usage

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 of 10000 Bored Ape images.

Notebook for training the model is available on GitHub repo.

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Unconditional Image Generation

This model is not currently available via any of the supported Inference Providers.

The model cannot be deployed to the HF Inference API: The HF Inference API does not support unconditional-image-generation models for diffusers library.