Update pipeline.py

pipeline.py

@@ -1429,8 +1429,8 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
                     print("current_prompt_index", current_prompt_index)
                     print("current prompt embed shape", prompt_embeds[current_prompt_index].shape)
                     # print min and max values of the current prompt embed
-                    print("min", torch.min(prompt_embeds[current_prompt_index][0]))
-                    print("max", torch.max(prompt_embeds[current_prompt_index][0]))
+                    print("avg", torch.mean(prompt_embeds[current_prompt_index][0]))
+                    print("max", torch.max(prompt_embeds[current_prompt_index][0]))   
 
                     if self.controlnet != None and i < int(control_end*num_inference_steps):