Update pipeline.py

pipeline.py

@@ -1178,8 +1178,8 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
                 num_videos_per_prompt,
                 do_classifier_free_guidance,
                 negative_prompt,
-                prompt_embeds=single_prompt_embeds[p].unsqueeze(0),
-                negative_prompt_embeds=single_negative_prompt_embeds[p].unsqueeze(0),
+                prompt_embeds=prompt_embeds[p].unsqueeze(0),
+                negative_prompt_embeds=negative_prompt_embeds[p].unsqueeze(0),
                 lora_scale=text_encoder_lora_scale,
                 clip_skip=clip_skip,
             )
@@ -1189,9 +1189,9 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
             # to avoid doing two forward passes
             if do_classifier_free_guidance:
                 # concatenate negative prompt embeddings with prompt embeddings on a new dimension after the first batch dimension
-                prompt_embeds = torch.stack([single_negative_prompt_embeds, single_prompt_embeds], dim=1)
+                single_prompt_embeds = torch.stack([single_negative_prompt_embeds, single_prompt_embeds], dim=1)
     
-            prompt_embeds_list.append(prompt_embeds)
+            prompt_embeds_list.append(single_prompt_embeds)
             
             
         if ip_adapter_image is not None: