Update pipeline.py

pipeline.py

@@ -1311,9 +1311,11 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
                             print("device of control_model_input", control_model_input.device)
                             print("device of controlnet_prompt_embeds", controlnet_prompt_embeds.device)
                             print("device of current_context_conditioning_frames", current_context_conditioning_frames.device)
+                            print("shape of control_model_input", current_context_conditioning_frames.shape)
                             print("device of cond_scale", cond_scale.device)
-                        except:
-                            pass
+                        # print error
+                        except Exception as e:
+                            print("error", e)
                             
                         down_block_res_samples, mid_block_res_sample = self.controlnet(
                             latent_model_input,
@@ -1324,6 +1326,7 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
                             guess_mode=guess_mode,
                             return_dict=False,
                         )   
+                        
                         # predict the noise residual with the added controlnet residuals
                         noise_pred = self.unet(
                             latent_model_input,