import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fengleafs/sd-class-butterflies-sample-32", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]--license: mit tags:
- pytorch - diffusers - unconditional-image-generation
- diffusion-models-class
--# 这个模型用于生成蝴蝶图像的无条件图像生成扩散模型
'''python from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('fengleafs/sd-class-butterflies-sample-32') image = pipeline().images[0] image
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