Update pipeline_cogvideox_controlnet_5b_i2v_instruction2.py

pipeline_cogvideox_controlnet_5b_i2v_instruction2.py

@@ -767,6 +767,8 @@ class ControlCogVideoXPipeline(DiffusionPipeline, CogVideoXLoraLoaderMixin):
 
                 if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
                     progress_bar.update()
+                    
+                print(f"Denoising step {i}/{num_inference_steps} done.")
 
         if not output_type == "latent":
             video = self.decode_latents(latents)