Update pipeline.py

pipeline.py

@@ -1080,7 +1080,6 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
                         context_group_indexes.append(frame_index)
                     # Add the group's indexes to the timestep's list
                     timestep_context_groups.append(context_group_indexes)
-                    print("context_group_indexes", context_group_indexes)
                 # Add the timestep's context groups to the overall list
                 all_context_indexes.append(timestep_context_groups)
             return all_context_indexes
@@ -1129,9 +1128,6 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
                     # set the step index to the current batch
                     self.scheduler._step_index = i
                 
-                print("latent_counter", latent_counter)
-                print("current_context_indexes", current_context_indexes)
-                
                 # perform guidance
                 if do_classifier_free_guidance:
                     latent_counter = latent_counter.reshape(1, 1, num_frames, 1, 1)
@@ -1140,9 +1136,6 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
                     
                     noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
                 
-                # print min and max
-                print("noise_pred: ", noise_pred.min(), noise_pred.max())
-                    
                 # compute the previous noisy sample x_t -> x_t-1
                 latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs).prev_sample