Edit model card

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

example images

Downloads last month
1
Inference API
Inference API (serverless) does not yet support diffusers models for this pipeline type.