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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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the HF Inference API does not support diffusers models with pipeline type unconditional-image-generation