Merge lora name+strength into single key to stay under 32 output limit

Combines separate lora name and strength keys into "name:strength" format,
removing 6 strength keys to free output slots for mode. Migration handles
legacy <lora:> wrapper, separate strength keys, and already-merged formats.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

db.py

@@ -209,7 +209,7 @@ class ProjectDB:
 
     @staticmethod
     def _migrate_lora_keys(data: dict) -> dict:
-        """Split legacy <lora:name:strength> values into separate name/strength keys."""
+        """Merge lora name + strength into single 'name:strength' key, remove separate strength keys."""
         for idx in range(1, 4):
             for tier in ('high', 'low'):
                 name_key = f'lora {idx} {tier}'
@@ -217,21 +217,16 @@ class ProjectDB:
                 raw = str(data.get(name_key, ''))
                 if raw.startswith('<lora:'):
                     inner = raw.replace('<lora:', '').replace('>', '')
-                    if ':' in inner:
+                    data[name_key] = inner
-                        parts = inner.rsplit(':', 1)
+                    if ':' not in inner:
-                        data[name_key] = parts[0]
+                        strength = data.pop(str_key, 1.0)
-                        try:
+                        data[name_key] = f'{inner}:{float(strength)}' if inner else ''
-                            data[str_key] = float(parts[1])
-                        except ValueError:
-                            data.setdefault(str_key, 1.0)
                     else:
-                        data[name_key] = inner
+                        data.pop(str_key, None)
-                        data.setdefault(str_key, 1.0)
+                elif str_key in data:
-                elif name_key in data and str_key not in data:
+                    strength = float(data.pop(str_key))
-                    data[str_key] = 1.0
+                    if raw and ':' not in raw:
-                # Ensure strength is always a float (JSON may deserialize 1 as int)
+                        data[name_key] = f'{raw}:{strength}'
-                if str_key in data:
-                    data[str_key] = float(data[str_key])
         return data
 
     def get_sequence(self, data_file_id: int, sequence_number: int) -> dict | None:
@@ -266,11 +261,6 @@ class ProjectDB:
             return 0
         return self.count_sequences(df["id"])
 
-    _FLOAT_KEYS = frozenset(
-        f'lora {idx} {tier} strength'
-        for idx in range(1, 4) for tier in ('high', 'low')
-    )
-
     def get_sequence_keys(self, data_file_id: int, sequence_number: int) -> tuple[list[str], list[str]]:
         """Returns (keys, types) for a sequence's data dict."""
         data = self.get_sequence(data_file_id, sequence_number)
@@ -280,9 +270,7 @@ class ProjectDB:
         types = []
         for k, v in data.items():
             keys.append(k)
-            if k in self._FLOAT_KEYS:
+            if isinstance(v, bool):
-                types.append("FLOAT")
-            elif isinstance(v, bool):
                 types.append("STRING")
             elif isinstance(v, int):
                 types.append("INT")

tab_batch_ng.py

@@ -296,9 +296,9 @@ def render_batch_processor(state: AppState):
                 ui.button('From Source', icon='file_download', on_click=add_from_source)
 
     # --- Standard / LoRA / VACE key sets ---
-    lora_keys = ['lora 1 high', 'lora 1 high strength', 'lora 1 low', 'lora 1 low strength',
+    lora_keys = ['lora 1 high', 'lora 1 low',
-                 'lora 2 high', 'lora 2 high strength', 'lora 2 low', 'lora 2 low strength',
+                 'lora 2 high', 'lora 2 low',
-                 'lora 3 high', 'lora 3 high strength', 'lora 3 low', 'lora 3 low strength']
+                 'lora 3 high', 'lora 3 low']
     standard_keys = {
         'name', 'mode', 'general_prompt', 'general_negative', 'current_prompt', 'negative', 'prompt',
         'seed', 'cfg', 'camera', 'flf', KEY_SEQUENCE_NUMBER,
@@ -561,28 +561,26 @@ def _render_sequence_card(i, seq, batch_list, data, file_path, state,
         with ui.expansion('LoRA Settings', icon='style').classes('w-full'):
             for lora_idx in range(1, 4):
                 for tier, tier_label in [('high', 'High'), ('low', 'Low')]:
-                    name_key = f'lora {lora_idx} {tier}'
+                    lora_key = f'lora {lora_idx} {tier}'
-                    str_key = f'lora {lora_idx} {tier} strength'
 
-                    # Migrate legacy <lora:name:strength> format
+                    # Parse combined name:strength value
-                    raw = str(seq.get(name_key, ''))
+                    raw = str(seq.get(lora_key, ''))
+                    # Handle legacy <lora:> wrapper
                     if raw.startswith('<lora:'):
-                        inner = raw.replace('<lora:', '').replace('>', '')
+                        raw = raw.replace('<lora:', '').replace('>', '')
-                        if ':' in inner:
+                    # Also remove stale separate strength key if present
-                            parts = inner.rsplit(':', 1)
+                    seq.pop(f'lora {lora_idx} {tier} strength', None)
-                            seq[name_key] = parts[0]
-                            try:
-                                seq[str_key] = float(parts[1])
-                            except ValueError:
-                                seq[str_key] = 1.0
-                        else:
-                            seq[name_key] = inner
-                            seq.setdefault(str_key, 1.0)
-                    else:
-                        seq.setdefault(str_key, 1.0)
 
-                    lora_name = seq.get(name_key, '')
+                    if ':' in raw and raw:
-                    lora_strength = seq.get(str_key, 1.0)
+                        parts = raw.rsplit(':', 1)
+                        lora_name = parts[0]
+                        try:
+                            lora_strength = float(parts[1])
+                        except ValueError:
+                            lora_strength = 1.0
+                    else:
+                        lora_name = raw
+                        lora_strength = 1.0
 
                     with ui.row().classes('w-full items-center q-gutter-sm'):
                         ui.label(f'L{lora_idx} {tier_label}').classes(
@@ -598,9 +596,10 @@ def _render_sequence_card(i, seq, batch_list, data, file_path, state,
                             format='%.1f',
                         ).props('outlined dense').style('max-width: 80px')
 
-                        def _lora_sync(nk=name_key, sk=str_key, n_inp=name_input, s_inp=strength_input):
+                        def _lora_sync(k=lora_key, n_inp=name_input, s_inp=strength_input):
-                            seq[nk] = n_inp.value or ''
+                            name = n_inp.value or ''
-                            seq[sk] = s_inp.value if s_inp.value is not None else 1.0
+                            strength = s_inp.value if s_inp.value is not None else 1.0
+                            seq[k] = f'{name}:{strength}' if name else ''
 
                         name_input.on('blur', lambda _, s=_lora_sync: s())
                         name_input.on('update:model-value', lambda _, s=_lora_sync: s())

tab_timeline_ng.py

@@ -626,13 +626,9 @@ def _render_preview_fields(item_data: dict):
         with ui.row().classes('w-full q-gutter-md'):
             for lora_idx in range(1, 4):
                 for tier, tier_label in [('high', 'High'), ('low', 'Low')]:
-                    with ui.column():
+                    ui.input(f'L{lora_idx} {tier_label}',
-                        ui.input(f'L{lora_idx} {tier_label} Name',
+                             value=item_data.get(f'lora {lora_idx} {tier}', '')).props(
-                                 value=item_data.get(f'lora {lora_idx} {tier}', '')).props(
+                        'readonly outlined dense')
-                            'readonly outlined dense')
-                        ui.input(f'L{lora_idx} {tier_label} Str',
-                                 value=str(item_data.get(f'lora {lora_idx} {tier} strength', 1.0))).props(
-                            'readonly outlined dense')
 
     vace_keys = ['frame_to_skip', 'vace schedule', 'video file path']
     if any(k in item_data for k in vace_keys):

utils.py

@@ -49,13 +49,13 @@ DEFAULTS = {
     "reference path": "",
     "flf image path": "",
 
-    # --- LoRAs ---
+    # --- LoRAs (format: "name:strength" or empty) ---
-    "lora 1 high": "", "lora 1 high strength": 1.0,
+    "lora 1 high": "",
-    "lora 1 low": "", "lora 1 low strength": 1.0,
+    "lora 1 low": "",
-    "lora 2 high": "", "lora 2 high strength": 1.0,
+    "lora 2 high": "",
-    "lora 2 low": "", "lora 2 low strength": 1.0,
+    "lora 2 low": "",
-    "lora 3 high": "", "lora 3 high strength": 1.0,
+    "lora 3 high": "",
-    "lora 3 low": "", "lora 3 low strength": 1.0
+    "lora 3 low": ""
 }
 
 CONFIG_FILE = Path(".editor_config.json")
@@ -145,7 +145,13 @@ def save_snippets(snippets):
     os.replace(tmp, SNIPPETS_FILE)
 
 def _migrate_lora_keys(data: dict) -> None:
-    """Split legacy <lora:name:strength> values into separate name/strength keys in-place."""
+    """Merge lora name + strength into single 'name:strength' key, remove separate strength keys.
+
+    Handles three legacy formats:
+    1. <lora:Name:0.5> → Name:0.5
+    2. Separate name_key + str_key → name:strength (then delete str_key)
+    3. Already merged name:strength → no change
+    """
     for item in data.get(KEY_BATCH_DATA, []):
         if not isinstance(item, dict):
             continue
@@ -154,23 +160,26 @@ def _migrate_lora_keys(data: dict) -> None:
                 name_key = f'lora {idx} {tier}'
                 str_key = f'lora {idx} {tier} strength'
                 raw = str(item.get(name_key, ''))
+
                 if raw.startswith('<lora:'):
+                    # Legacy <lora:Name:0.5> format → Name:0.5
                     inner = raw.replace('<lora:', '').replace('>', '')
-                    if ':' in inner:
+                    item[name_key] = inner  # already name:strength or just name
-                        parts = inner.rsplit(':', 1)
+                    if ':' not in inner:
-                        item[name_key] = parts[0]
+                        # No strength in the wrapper, check separate key
-                        try:
+                        strength = item.pop(str_key, 1.0)
-                            item[str_key] = float(parts[1])
+                        item[name_key] = f'{inner}:{float(strength)}' if inner else ''
-                        except ValueError:
-                            item.setdefault(str_key, 1.0)
                     else:
-                        item[name_key] = inner
+                        item.pop(str_key, None)
-                        item.setdefault(str_key, 1.0)
+                elif str_key in item:
-                elif name_key in item and str_key not in item:
+                    # Separate strength key exists → merge into name:strength
-                    item[str_key] = 1.0
+                    strength = float(item.pop(str_key))
-                # Ensure strength is always a float (JSON may deserialize 1 as int)
+                    if raw:
-                if str_key in item:
+                        # Avoid double-merging if already has name:strength format
-                    item[str_key] = float(item[str_key])
+                        if ':' not in raw:
+                            item[name_key] = f'{raw}:{strength}'
+                        # else: already merged, just remove the stale strength key
+                # No change needed if already in name:strength format or empty
 
 
 def load_json(path: str | Path) -> tuple[dict[str, Any], float]: