Update pipeline.py

pipeline.py

@@ -1185,14 +1185,14 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
         if ip_adapter_image is not None:
             output_hidden_state = False if isinstance(self.unet.encoder_hid_proj, ImageProjection) else True
             # foreach ip_adapter_image in ip_adapter_image
-            image_embeds = []
+            image_embed_list = []
             # if ip_adapter_image is not list, convert to list
             ip_adapter_image = [ip_adapter_image] if not isinstance(ip_adapter_image, list) else ip_adapter_image
             for image in ip_adapter_image:
                 image_embeds, negative_image_embeds = self.encode_image(image, device, num_videos_per_prompt, output_hidden_state)
                 if do_classifier_free_guidance:image_embeds = torch.cat([negative_image_embeds, image_embeds])
-                image_embeds.append(image_embeds)
-
+                image_embed_list.append(image_embeds)
+            image_embeds = image_embed_list
         if self.controlnet != None:
             if isinstance(controlnet, ControlNetModel):
                 # conditioning_frames = self.prepare_image(