Update app.py

app.py

@@ -142,7 +142,7 @@ def predict(dict, prompt="", negative_prompt = default_negative_prompt, guidance
     # mask_resized = mask_resized.to(torch.float16)
     masked_image = torch.cat([control_latents, mask_resized], dim=1)
 
-    generator = torch.Generator(device='cuda').manual_seed(123456)
+    generator = torch.Generator(device='cuda').manual_seed(int(seed))
     
     output = pipe(prompt = prompt,
                   width=width,