### 1. `diffusers` as a central modular diffusion and sampler library
`diffusers` is more modularized than `transformers`. The idea is that researchers and engineers can use only parts of the library easily for the own use cases.
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@@ -33,6 +38,7 @@ import torch
from diffusers import UNetModel, GaussianDDPMScheduler
import PIL
import numpy as np
import tqdm
generator = torch.manual_seed(0)
torch_device = "cuda" if torch.cuda.is_available() else "cpu"
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@@ -80,6 +86,7 @@ import torch
from diffusers import UNetModel, DDIMScheduler
import PIL
import numpy as np
import tqdm
generator = torch.manual_seed(0)
torch_device = "cuda" if torch.cuda.is_available() else "cpu"