fix

pipeline.py

@@ -971,8 +971,8 @@ class StableDiffusionControlNetImg2ImgPipeline(DiffusionPipeline, TextualInversi
         with self.progress_bar(total=num_inference_steps) as progress_bar:
             for i, t in enumerate(timesteps):
                 # expand the latents if we are doing classifier free guidance
-                # latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
-                latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents.clone()
+                latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
+                # latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents.clone()
 
 
                 latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)