diff --git a/tab_batch_ng.py b/tab_batch_ng.py
index 69ab195..a936fea 100644
--- a/tab_batch_ng.py
+++ b/tab_batch_ng.py
@@ -314,8 +314,8 @@ def render_batch_processor(state: AppState):
                  'lora 3 high', 'lora 3 high strength', 'lora 3 low', 'lora 3 low strength']
     standard_keys = {
         'name', 'mode', 'general_prompt', 'general_negative', 'current_prompt', 'negative', 'prompt',
-        'seed', 'cfg', 'camera', 'flf', KEY_SEQUENCE_NUMBER,
-        'frame_to_skip', 'end_frame', 'logic index', 'transition', 'vace_length',
+        'seed', 'camera', KEY_SEQUENCE_NUMBER,
+        'frame_to_skip', 'logic index', 'transition', 'vace_length',
         'input_a_frames', 'input_b_frames', 'reference switch', 'vace schedule',
         'start frame path', 'start frame strength',
         'middle frame path', 'middle frame strength',
@@ -610,13 +610,7 @@ def _render_sequence_card(i, seq, batch_list, data, file_path, state,
 
                     ui.button(icon='casino', on_click=randomize_seed).props('flat')
 
-                # CFG
-                dict_number('CFG', seq, 'cfg', default=DEFAULTS['cfg'],
-                            step=0.5, format='%.1f').props('outlined').classes('w-full')
-
                 dict_input(ui.input, 'Camera', seq, 'camera').props('outlined').classes('w-full')
-                dict_input(ui.input, 'FLF', seq, 'flf').props('outlined').classes('w-full')
-                ef_input = dict_number('End Frame', seq, 'end_frame').props('outlined').classes('w-full')
                 seq.setdefault('logic index', 0)
                 li_input = dict_number('Logic Index', seq, 'logic index').props('outlined readonly').classes('w-full')
                 with li_input:
diff --git a/tab_timeline_ng.py b/tab_timeline_ng.py
index 9c48d85..7f3d072 100644
--- a/tab_timeline_ng.py
+++ b/tab_timeline_ng.py
@@ -577,7 +577,6 @@ def _render_preview_fields(item_data: dict):
 
     with ui.row().classes('w-full q-gutter-md'):
         ui.input('Camera', value=str(item_data.get('camera', 'static'))).props('readonly outlined')
-        ui.input('FLF', value=str(item_data.get('flf', '0.0'))).props('readonly outlined')
         ui.input('Seed', value=str(item_data.get('seed', '-1'))).props('readonly outlined')
 
     with ui.expansion('LoRA Configuration'):
@@ -617,7 +616,7 @@ def _render_preview_fields(item_data: dict):
 
     known_keys = {
         'sequence_number', 'general_prompt', 'general_negative', 'current_prompt', 'prompt',
-        'negative', 'camera', 'flf', 'seed', 'resolutions',
+        'negative', 'camera', 'seed', 'resolutions',
                 'frame_to_skip', 'vace schedule', 'video file path', 'middle frame path', 'end frame path', 'start frame path',
         'logic index',
     }
diff --git a/utils.py b/utils.py
index b9f558c..831cf6f 100644
--- a/utils.py
+++ b/utils.py
@@ -28,16 +28,13 @@ DEFAULTS = {
     "current_prompt": "",
     "negative": "",
     "seed": -1,
-    "cfg": 1.5,
 
     # --- Settings ---
     "mode": 0,
     "camera": "static",
-    "flf": 0.0,
 
     # --- I2V / VACE Specifics ---
     "frame_to_skip": 81,
-    "end_frame": 0,
     "logic index": 0,
     "transition": "1-2",
     "vace_length": 49,
@@ -154,6 +151,17 @@ def save_snippets(snippets):
         json.dump(snippets, f, indent=4)
     os.replace(tmp, SNIPPETS_FILE)
 
+_REMOVED_KEYS = {"cfg", "flf", "end_frame"}
+
+def _migrate_remove_keys(data: dict) -> None:
+    """Drop keys that have been removed from the schema."""
+    for item in data.get(KEY_BATCH_DATA, []):
+        if not isinstance(item, dict):
+            continue
+        for k in _REMOVED_KEYS:
+            item.pop(k, None)
+
+
 def _migrate_key_renames(data: dict) -> None:
     """Rename legacy keys to their current names."""
     for item in data.get(KEY_BATCH_DATA, []):
@@ -225,6 +233,7 @@ def load_json(path: str | Path) -> tuple[dict[str, Any], float]:
         with open(path, 'r') as f:
             data = json.load(f)
         t1 = time.time()
+        _migrate_remove_keys(data)
         _migrate_key_renames(data)
         _migrate_lora_keys(data)
         t2 = time.time()