import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("daspartho/bored-ape-diffusion", 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.
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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