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lib/pipeline_ConsistentID.py

@@ -537,6 +537,7 @@ class ConsistentIDPipeline(StableDiffusionPipeline):
                 latent_model_input = (
                     torch.cat([latents] * 2) if do_classifier_free_guidance else latents
                 )
+                # DDIM doesn't scale latent_model_input.                
                 latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
                 
                 if i <= start_merge_step: