test in latnent upcale

pipeline.py

@@ -860,11 +860,15 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
 
             latent_model_input = self.scheduler.scale_model_input(
                 latent_model_input, t)
-
+            print("latent_model_input after scheduler")
+            print(latent_model_input)
+            print(latent_model_input.shape)
             # predict the noise residual
             noise_pred = self.unet(latent_model_input, t,
                                    encoder_hidden_states=text_embeddings).sample
-
+            print("noise_pred")
+            print(noise_pred)
+            print(noise_pred.shape)
             # perform guidance
             if do_classifier_free_guidance:
                 noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)