fix

hydra_node/models.py

@@ -69,9 +69,9 @@ def sample_start_noise(seed, C, H, W, f, device="cuda"):
     return noise
 
 def sample_start_noise_special(seed, request, device="cuda"):
-    if request.seed is not None:
-        torch.manual_seed(request.seed)
-        np.random.seed(request.seed)
+    if seed:
+        torch.manual_seed(seed)
+        np.random.seed(seed)
     
     noise = torch.randn([request.latent_channels, request.height // request.downsampling_factor, request.width // request.downsampling_factor], device=device).unsqueeze(0)
     return noise