Update pipeline.py

pipeline.py

@@ -748,9 +748,9 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
         # scale the initial noise by the standard deviation required by the scheduler
         if init_latents is None:
             latents = latents * self.scheduler.init_noise_sigma
-        elif self.unet.trained_initial_frames and init_latents is not None:
-            # we only want to use this as the first frame
-            init_latents[:, :, 1:] = torch.zeros_like(init_latents[:, :, 1:])
+        # elif self.unet.trained_initial_frames and init_latents is not None:
+        #     # we only want to use this as the first frame
+        #     init_latents[:, :, 1:] = torch.zeros_like(init_latents[:, :, 1:])
             
         latents = latents.to(device)
         return latents, init_latents