Update pipeline.py

pipeline.py

@@ -1261,6 +1261,8 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
                         if isinstance(controlnet, MultiControlNetModel):
                             print("lengt of conditioning_frames", len(conditioning_frames))
                             current_context_conditioning_frames = [conditioning_frames[c][current_context_indexes, :, :, :] for c in range(len(controlnet.nets))]
+                            # move to device
+                            current_context_conditioning_frames = [c.to(device) for c in current_context_conditioning_frames] 
                         else:
                             # select the relevent context from the conditioning frames of shape (frame_number, channel, height, width)
                             current_context_conditioning_frames = conditioning_frames[current_context_indexes, :, :, :]