Update app.py

app.py

@@ -63,7 +63,7 @@ def call(
             else:
                 latent_model_input2 = torch.cat([latents.flip(2)] * 2) if do_classifier_free_guidance else latents
                 latent_model_input2 = pipe.scheduler.scale_model_input(latent_model_input2, t)
-                noise_pred2 = pipe.unet(latent_model_input2
+                noise_pred2 = pipe.unet(latent_model_input2, t)
 
 def simple_call(prompt1, prompt2, guidance_scale1, guidance_scale2, negative_prompt1, negative_prompt2):
     generator = [torch.Generator(device="cuda").manual_seed(5)]