Optimize: Fast transport and build-time warming

download_weights.py

@@ -35,6 +35,17 @@ def main():
     print("Starting KlingTeam weights download...")
     for path, url in models.items():
         download_file(url, path)
+    
+    # Pre-warm insightface (buffalo_l) to avoid runtime download
+    print("Pre-warming insightface models...")
+    try:
+        from insightface.app import FaceAnalysis
+        # This will trigger the download of buffalo_l if not present
+        app = FaceAnalysis(name='buffalo_l', root='pretrained_weights', providers=['CPUExecutionProvider'])
+        app.prepare(ctx_id=0, det_size=(640, 640))
+        print("Insightface pre-warmed successfully.")
+    except Exception as e:
+        print(f"Insightface warmup failed (optional): {e}")
 
 if __name__ == "__main__":
     main()

live_portrait_bridge_template.py

@@ -170,7 +170,7 @@ def generate_frames(current_char_data):
             current_char_data['mask_ori_float']
         )
         
-        _, buffer_rest = cv2.imencode('.jpg', I_rest_pstbk[..., ::-1], [cv2.IMWRITE_JPEG_QUALITY, 95])
+        _, buffer_rest = cv2.imencode('.jpg', I_rest_pstbk[..., ::-1], [cv2.IMWRITE_JPEG_QUALITY, 80])
 
 
         # 2. Generate BLINK Frame
@@ -212,7 +212,7 @@ def generate_frames(current_char_data):
             current_char_data['mask_ori_float']
         )
         
-        _, buffer_blink = cv2.imencode('.jpg', I_blink_pstbk[..., ::-1], [cv2.IMWRITE_JPEG_QUALITY, 95])
+        _, buffer_blink = cv2.imencode('.jpg', I_blink_pstbk[..., ::-1], [cv2.IMWRITE_JPEG_QUALITY, 80])
         
         return buffer_rest, buffer_blink