ecified in range(). This creates a unique Generator object for each image in the batch. If you only multiply the Generator by the batch size, this only creates one Generator object that is used sequentially for each image in the batch. For example, if you want to use the same seed to create 4 identical images:   Copied ❌ [torch.Generator().manual_seed(seed)] * 4

✅ [torch.Generator().manual_seed(seed) for _ in range(4)] Generate the images and 