Update eval.py

eval.py

@@ -64,9 +64,7 @@ from PIL import Image
 from diffusers import DDPMScheduler
 
 noise_scheduler = DDPMScheduler(num_train_timesteps=1000)
-noise = torch.randn(sample_image.shape)
-timesteps = torch.LongTensor([50])
-noisy_image = noise_scheduler.add_noise(sample_image, noise, timesteps)
+
 
 
 import torch.nn.functional as F