diff --git a/workflows/comfy/ComfyLauncher/ComfyRunnerForSidecar.py b/workflows/comfy/ComfyLauncher/ComfyRunnerForSidecar.py
index 5e5ba45..bd9b396 100644
--- a/workflows/comfy/ComfyLauncher/ComfyRunnerForSidecar.py
+++ b/workflows/comfy/ComfyLauncher/ComfyRunnerForSidecar.py
@@ -92,6 +92,7 @@ def parse_args():
     parser.add_argument('--pause-between-steps', type=int, help='pause between steps', required=False, default=1)
     parser.add_argument('--face-detailer-enabled', help='face detailer enabled', required=False, default=False, action=argparse.BooleanOptionalAction)
     parser.add_argument('--upscaler-enabled', help='upscale enabled', required=False, default=False, action=argparse.BooleanOptionalAction)
+    parser.add_argument('--lipsync-enabled', help='lipsync enabled', required=False, default=False, action=argparse.BooleanOptionalAction)
     parser.add_argument('--strength', type=float, help='strength', required=False, default=1.0)
     return parser.parse_args()
 
@@ -133,6 +134,7 @@ def main():
         positive_prompt = None
         negative_prompt = None
         workflow_filename = None
+        enable_lipsync = args.lipsync_enabled
         if pipeline_type == PipelineType.IPA:
             workflow_filename = MAIN_IPA_WORKFLOW
         if positive_prompt_filename:
@@ -142,7 +144,8 @@ def main():
         validate_style_name(style)
         print("running pipeline" + str(pipeline_type))
         # ensure_pipeline_input_present()
-        prompt = generate_prompt_for_style(style, positive_prompt, negative_prompt, workflow_filename)
+        prompt = generate_prompt_for_style(style, positive_prompt, negative_prompt, workflow_filename, 
+                                           enable_lipsync=enable_lipsync)
         enqueue_prompt_and_wait(prompt)
         output_index = output_index + 1
         left = Path(COMFY_ROOT_DIRECTORY) / "output" / f"vid2vid/SparseUpscaleInterp_0000{output_index}.mp4"
@@ -151,7 +154,8 @@ def main():
             print("running pipeline" + str(pipeline_type))
             convert_pipline_output_to_input(left)
             workflow_filename = UPSCALER_WORKFLOW
-            prompt = generate_prompt_for_style(style, positive_prompt, negative_prompt, workflow_filename, PipelineType.UPSCALER)
+            prompt = generate_prompt_for_style(style, positive_prompt, negative_prompt, workflow_filename, PipelineType.UPSCALER, 
+                                               enable_lipsync=enable_lipsync)
             enqueue_prompt_and_wait(prompt)
             output_index = output_index + 1
             left = Path(COMFY_ROOT_DIRECTORY) / "output" / f"vid2vid/SparseUpscaleInterp_0000{output_index}.mp4"
@@ -161,7 +165,8 @@ def main():
             print("running pipeline" + str(pipeline_type))
             convert_pipline_output_to_input(left)
             workflow_filename = FACE_DETAILER_WORKFLOW
-            prompt = generate_prompt_for_style(style, positive_prompt, negative_prompt, workflow_filename, PipelineType.FACE_DETAILER)
+            prompt = generate_prompt_for_style(style, positive_prompt, negative_prompt, workflow_filename, PipelineType.FACE_DETAILER, 
+                                               enable_lipsync=enable_lipsync)
             enqueue_prompt_and_wait(prompt)
             output_index = output_index + 1
             left = Path(COMFY_ROOT_DIRECTORY) / "output" / f"vid2vid/SparseUpscaleInterp_0000{output_index}.mp4"
@@ -204,7 +209,8 @@ def enqueue_prompt_and_wait(prompt):
 
 
 
-def generate_prompt_for_style(style_name, positive_prompt, negative_prompt, workflow_filename=None, pipeline_type = PipelineType.BASE) -> Path:
+def generate_prompt_for_style(style_name, positive_prompt, negative_prompt, workflow_filename=None, pipeline_type = PipelineType.BASE,
+                              enable_lipsync: bool = False) -> Path:
     styles_directory = Path(V2V_WORKFLOWS_DIRECTORY) / "styles"
     workflow_directory = Path(V2V_WORKFLOWS_DIRECTORY) / "workflows"
     mappings_directory = Path(V2V_WORKFLOWS_DIRECTORY) / "mappings"
@@ -222,7 +228,9 @@ def generate_prompt_for_style(style_name, positive_prompt, negative_prompt, work
     mapping_json = json.load(open(mappings_directory / mapping_json_filename))
 
     json_mods = style_json["modifications"]
-    jsonpath_mods = get_jsonpath_mods(json_mods, mapping_json, pos_in=positive_prompt, neg_in=negative_prompt, pipeline_type=pipeline_type)
+    jsonpath_mods = get_jsonpath_mods(json_mods, mapping_json, pos_in=positive_prompt, neg_in=negative_prompt, pipeline_type=pipeline_type, 
+                                      enable_lipsync=enable_lipsync)
+
     print(*jsonpath_mods.items(), sep="\n")
 
     json_prompt = apply_jsonpath_mods(jsonpath_mods, workflow_json)
@@ -232,7 +240,8 @@ def generate_prompt_for_style(style_name, positive_prompt, negative_prompt, work
 
 
 def get_jsonpath_mods(style_mods: Dict[str, Any], mapping_json: Dict[str, Any], pos_in: Optional[str] = None,
-                      neg_in: Optional[str] = None, pipeline_type = PipelineType.BASE, denoise_first_pass=1.0) -> Dict[str, Any]:
+                      neg_in: Optional[str] = None, pipeline_type = PipelineType.BASE, denoise_first_pass=1.0,
+                      enable_lipsync: bool = False) -> Dict[str, Any]:
     modifications = {}
     new_mod_json = style_mods.copy()
     # Process "loras" differently
@@ -260,6 +269,9 @@ def get_jsonpath_mods(style_mods: Dict[str, Any], mapping_json: Dict[str, Any],
     if pipeline_type == PipelineType.IPA:
         new_mod_json["denoise_first_pass"] = denoise_first_pass
 
+    if enable_lipsync:
+        new_mod_json["cn_lips_strength"] = 1.2
+
     for key, value in new_mod_json.items():
         mapping_key = f"$.{key}"
         jsonpath_expr = parse(mapping_key)