import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("CCMat/ddpm-bored-apes-64", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]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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