import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("utkarshsinha/ddpm-butterflies-128", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Model Card for utkarshsinha/ddpm-butterflies-128
This is an unconditional diffusion model trained on a dataset of butterflies 🦋 as part of the "Training with Diffusers" guide.
Usage
from diffusers import DDPMPipeline
import torch
# Make sure to use your actual repo ID
pipeline = DDPMPipeline.from_pretrained("utkarshsinha/ddpm-butterflies-128", torch_dtype=torch.float16)
pipeline.to("cuda")
image = pipeline().images[0]
image
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