数据集:

• eurecom-ds/multi_dsprites 库名称: diffusers 流程标签: 无条件图像生成

# !pip install diffusers
from diffusers import DiffusionPipeline
import torch

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model_id = "eurecom-ds/scoresdeve-ema-multi-dsprites-64"

# 加载模型和调度器
pipe = DiffusionPipeline.from_pretrained(model_id, trust_remote_code=True)
pipe.to(device)


# 在推理中运行流程（采样随机噪声并去噪）
generator = torch.Generator(device=device).manual_seed(46)
image = pipe(
  generator=generator,
  batch_size=1,
  num_inference_steps=1000
).images


# 保存图像
image[0].save("sde_ve_generated_image.png")