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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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