test in latnent upcale

pipeline.py

@@ -877,17 +877,20 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
             print("noise_pred")
             # print(noise_pred)
             print(noise_pred.shape)
+
+            print("perform guidance")
             # perform guidance
             if do_classifier_free_guidance:
                 noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
                 noise_pred = noise_pred_uncond + guidance_scale * \
                     (noise_pred_text - noise_pred_uncond)
-
+            print("noise_pred after guidance")
+            # print(noise_pred)
             print("compute the previous noisy sample")
             # compute the previous noisy sample x_t -> x_t-1
             upscale_latents = self.scheduler.step(
                 noise_pred, t, upscale_latents, **extra_step_kwargs).prev_sample
-
+            print(upscale_latents.shape)
 
             print("compute mask")
             if mask is not None: