Update pipeline.py

pipeline.py

@@ -1427,7 +1427,8 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
                     latent_model_input = torch.cat([current_context_latents] * 2) if do_classifier_free_guidance else current_context_latents
                     latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
                     
-                    
+                    control_end_step = int(control_end*num_inference_steps)
+                    print("control_end_step", control_end_step)
                     if self.controlnet != None and i < int(control_end*num_inference_steps):
                         
                         torch.cuda.synchronize()  # Synchronize GPU