import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("tglcourse/ddpm-butterflies-64px", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Diffusion model trained on https://huggingface.co/datasets/huggan/smithsonian_butterflies_subset
Example outputs:
Usage:
pipeline = DDPMPipeline.from_pretrained('tglcourse/ddpm-ema-butterflies-64').to(device)
images = pipeline(batch_size=8).images
More info in course soon.
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