This model is a diffusion model for unconditional image generation of bored apes 🦧.

Usage

from diffusers import DDPMPipeline

# run pipeline in inference (sample random noise and denoise)
pipeline = DDPMPipeline.from_pretrained('CCMat/diff-bored-apes-64')
image = pipeline().images[0]

# save image
image.save("ddpm_generated_image.png")

Samples

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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.