fix-pipelines

.github/workflows/docker.yml

@@ -14,7 +14,7 @@ env:
 
 jobs:
   build:
-    runs-on: ubuntu-latest
+    runs-on: self-hosted
     permissions:
       contents: read
       packages: write

latentsync/pipelines/lipsync_pipeline.py

@@ -606,8 +606,10 @@ class LipsyncPipeline(DiffusionPipeline):
             torch.cuda.empty_cache()
 
         # Restore video from CPU tensors to save GPU memory
+        # Flatten synced_video_frames: list of (B, C, H, W) -> list of (C, H, W)
+        flattened_frames = [frame for batch in synced_video_frames for frame in batch]
         synced_video_frames = self.restore_video_from_cpu(
-            synced_video_frames, video_frames, boxes, affine_matrices
+            flattened_frames, video_frames, boxes, affine_matrices
         )
 
         audio_samples_remain_length = int(