Update pipelines/pipeline_seesr.py

pipelines/pipeline_seesr.py

@@ -1049,9 +1049,9 @@ class StableDiffusionControlNetPipeline(DiffusionPipeline, TextualInversionLoade
             for i, t in enumerate(timesteps):
                 with torch.no_grad():
                     # pass, if the timestep is larger than start_steps
-                    if t > start_steps:
-                        print(f'pass {t} steps.')
-                        continue
+                    # if t > start_steps:
+                    #     print(f'pass {t} steps.')
+                    #     continue
 
                     # expand the latents if we are doing classifier free guidance
                     latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents