import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("anontokio/sd-class-butterflies-32-from-zero", 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 Unit 1 of the Diffusion Models Class 🧨
This model is a diffusion model for unconditional image generation of 🦋.
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('wangzhen0518/sd-class-butterflies-32-from-zero')
image = pipeline().images[0]
image
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