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README.md

@@ -90,7 +90,7 @@ scheduler = DDPMScheduler.from_pretrained(repo_id1)
 print("scheduler.config: ", scheduler.config)
 
 # 3. Create an image with Gaussian noise
-torch.manual_seed(1733782420)  # Fix the random seed for reproducibility
+torch.manual_seed(1733783271)  # Fix the random seed for reproducibility
 noisy_sample = torch.randn(1, model.config.in_channels, model.config.sample_size, model.config.sample_size).to("cuda")
 print(f"Noisy sample shape: {noisy_sample.shape}")