Update app.py

app.py

@@ -97,7 +97,7 @@ class ModelWrapper:
         
         for constant in all_timesteps:
             current_timesteps = torch.ones(len(prompt_embed), device="cuda", dtype=torch.long) * constant
-            #current_timesteps = current_timesteps.to(torch.float16)
+            current_timesteps = current_timesteps.to(torch.float16)
             print(f'current_timestpes: {current_timesteps.dtype}')
             eval_images = self.model(noise, current_timesteps, prompt_embed, added_cond_kwargs=unet_added_conditions).sample
             print(type(eval_images))
@@ -237,4 +237,4 @@ def create_demo():
 if __name__ == "__main__":
     demo = create_demo()
     demo.queue(api_open=False)
-    demo.launch(show_error=True, share=True)
+    demo.launch(show_error=True)