Ethanfel/Comfyui-JSON-Manager
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Merge lora name+strength into single key to stay under 32 output limit

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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>
This commit is contained in:
Ethanfel
2026-03-18 23:58:32 +01:00
parent ecb5cdc13f
commit a9197efacd
4 changed files with 69 additions and 77 deletions
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tab_batch_ng.py
+24 -25
View File
@@ -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 2 high', 'lora 2 high strength', 'lora 2 low', 'lora 2 low strength',
'lora 3 high', 'lora 3 high strength', 'lora 3 low', 'lora 3 low strength']
lora_keys = ['lora 1 high', 'lora 1 low',
'lora 2 high', 'lora 2 low',
'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}'
str_key = f'lora {lora_idx} {tier} strength'
lora_key = f'lora {lora_idx} {tier}'
# Migrate legacy <lora:name:strength> format
raw = str(seq.get(name_key, ''))
# Parse combined name:strength value
raw = str(seq.get(lora_key, ''))
# Handle legacy <lora:> wrapper
if raw.startswith('<lora:'):
inner = raw.replace('<lora:', '').replace('>', '')
if ':' in inner:
parts = inner.rsplit(':', 1)
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)
raw = raw.replace('<lora:', '').replace('>', '')
# Also remove stale separate strength key if present
seq.pop(f'lora {lora_idx} {tier} strength', None)
lora_name = seq.get(name_key, '')
lora_strength = seq.get(str_key, 1.0)
if ':' in raw and raw:
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):
seq[nk] = n_inp.value or ''
seq[sk] = s_inp.value if s_inp.value is not None else 1.0
def _lora_sync(k=lora_key, n_inp=name_input, s_inp=strength_input):
name = n_inp.value or ''
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())