import copy import random from pathlib import Path from nicegui import ui from state import AppState from utils import ( DEFAULTS, save_json, load_json, KEY_BATCH_DATA, KEY_HISTORY_TREE, KEY_PROMPT_HISTORY, KEY_SEQUENCE_NUMBER, ) from history_tree import HistoryTree IMAGE_EXTENSIONS = {'.png', '.jpg', '.jpeg', '.webp', '.bmp', '.gif'} SUB_SEGMENT_MULTIPLIER = 1000 FRAME_TO_SKIP_DEFAULT = DEFAULTS['frame_to_skip'] VACE_MODES = [ 'End Extend', 'Pre Extend', 'Middle Extend', 'Edge Extend', 'Join Extend', 'Bidirectional Extend', 'Frame Interpolation', 'Replace/Inpaint', 'Video Inpaint', 'Keyframe', ] VACE_FORMULAS = [ 'base + A', 'base + B', 'base + A + B', 'base + A + B', 'base + A + B', 'base + A + B', '(B-1) * step', 'snap(source)', 'snap(source)', 'base + A + B', ] # --- Sub-segment helpers (same as original) --- def is_subsegment(seq_num): return int(seq_num) >= SUB_SEGMENT_MULTIPLIER def parent_of(seq_num): seq_num = int(seq_num) return seq_num // SUB_SEGMENT_MULTIPLIER if is_subsegment(seq_num) else seq_num def sub_index_of(seq_num): seq_num = int(seq_num) return seq_num % SUB_SEGMENT_MULTIPLIER if is_subsegment(seq_num) else 0 def format_seq_label(seq_num): seq_num = int(seq_num) if is_subsegment(seq_num): return f'Sub #{parent_of(seq_num)}.{sub_index_of(seq_num)}' return f'Sequence #{seq_num}' def next_sub_segment_number(batch_list, parent_seq_num): parent_seq_num = int(parent_seq_num) max_sub = 0 for s in batch_list: sn = int(s.get(KEY_SEQUENCE_NUMBER, 0)) if is_subsegment(sn) and parent_of(sn) == parent_seq_num: max_sub = max(max_sub, sub_index_of(sn)) return parent_seq_num * SUB_SEGMENT_MULTIPLIER + max_sub + 1 def max_main_seq_number(batch_list): """Highest non-subsegment sequence number in the batch.""" return max( (int(x.get(KEY_SEQUENCE_NUMBER, 0)) for x in batch_list if not is_subsegment(x.get(KEY_SEQUENCE_NUMBER, 0))), default=0, ) def find_insert_position(batch_list, parent_index, parent_seq_num): parent_seq_num = int(parent_seq_num) pos = parent_index + 1 while pos < len(batch_list): sn = int(batch_list[pos].get(KEY_SEQUENCE_NUMBER, 0)) if is_subsegment(sn) and parent_of(sn) == parent_seq_num: pos += 1 else: break return pos # --- Helper for repetitive dict-bound inputs --- def dict_input(element_fn, label, seq, key, **kwargs): """Create an input element bound to seq[key] via blur event.""" val = seq.get(key, '') if isinstance(val, (int, float)): val = str(val) if element_fn != ui.number else val el = element_fn(label, value=val, **kwargs) el.on('blur', lambda e, k=key: seq.__setitem__(k, e.sender.value)) return el def dict_number(label, seq, key, default=0, **kwargs): """Number input bound to seq[key] via blur.""" val = seq.get(key, default) try: # Try float first to handle "1.5" strings, then check if it's a clean int fval = float(val) val = int(fval) if fval == int(fval) else fval except (ValueError, TypeError): val = default el = ui.number(label, value=val, **kwargs) def _on_blur(e, k=key, d=default): v = e.sender.value if v is None: v = d elif isinstance(v, float) and v == int(v): v = int(v) seq[k] = v el.on('blur', _on_blur) return el def dict_textarea(label, seq, key, **kwargs): """Textarea bound to seq[key] via blur.""" el = ui.textarea(label, value=seq.get(key, ''), **kwargs) el.on('blur', lambda e, k=key: seq.__setitem__(k, e.sender.value)) return el # ====================================================================== # Main render function # ====================================================================== def render_batch_processor(state: AppState): data = state.data_cache file_path = state.file_path is_batch_file = KEY_BATCH_DATA in data or isinstance(data, list) if not is_batch_file: ui.label('This is a Single file. To use Batch mode, create a copy.').classes( 'text-warning') def create_batch(): new_name = f'batch_{file_path.name}' new_path = file_path.parent / new_name if new_path.exists(): ui.notify(f'File {new_name} already exists!', type='warning') return first_item = copy.deepcopy(data) first_item.pop(KEY_PROMPT_HISTORY, None) first_item.pop(KEY_HISTORY_TREE, None) first_item[KEY_SEQUENCE_NUMBER] = 1 new_data = {KEY_BATCH_DATA: [first_item], KEY_HISTORY_TREE: {}, KEY_PROMPT_HISTORY: []} save_json(new_path, new_data) ui.notify(f'Created {new_name}', type='positive') ui.button('Create Batch Copy', icon='content_copy', on_click=create_batch) return if state.restored_indicator: ui.label(f'Editing Restored Version: {state.restored_indicator}').classes( 'text-info q-pa-sm') batch_list = data.get(KEY_BATCH_DATA, []) # Source file data for importing with ui.card().classes('w-full q-pa-md q-mb-lg'): json_files = sorted(state.current_dir.glob('*.json')) json_files = [f for f in json_files if f.name not in ( '.editor_config.json', '.editor_snippets.json')] file_options = {f.name: f.name for f in json_files} src_file_select = ui.select( file_options, value=file_path.name, label='Source File:', ).classes('w-64') src_seq_select = ui.select([], label='Source Sequence:').classes('w-64') # Track loaded source data _src_cache = {'data': None, 'batch': [], 'name': None} def _update_src(): name = src_file_select.value if name and name != _src_cache['name']: src_data, _ = load_json(state.current_dir / name) _src_cache['data'] = src_data _src_cache['batch'] = src_data.get(KEY_BATCH_DATA, []) _src_cache['name'] = name if _src_cache['batch']: opts = {i: format_seq_label(s.get(KEY_SEQUENCE_NUMBER, i+1)) for i, s in enumerate(_src_cache['batch'])} src_seq_select.set_options(opts, value=0) else: src_seq_select.set_options({}) src_file_select.on_value_change(lambda _: _update_src()) _update_src() # --- Add New Sequence --- ui.label('Add New Sequence').classes('section-header q-mt-md') def _add_sequence(new_item): new_item[KEY_SEQUENCE_NUMBER] = max_main_seq_number(batch_list) + 1 for k in [KEY_PROMPT_HISTORY, KEY_HISTORY_TREE, 'note', 'loras']: new_item.pop(k, None) batch_list.append(new_item) data[KEY_BATCH_DATA] = batch_list save_json(file_path, data) render_sequence_list.refresh() with ui.row(): def add_empty(): _add_sequence(DEFAULTS.copy()) def add_from_source(): item = copy.deepcopy(DEFAULTS) src_batch = _src_cache['batch'] sel_idx = src_seq_select.value if src_batch and sel_idx is not None: item.update(copy.deepcopy(src_batch[int(sel_idx)])) elif _src_cache['data']: item.update(copy.deepcopy(_src_cache['data'])) _add_sequence(item) ui.button('Add Empty', icon='add', on_click=add_empty) ui.button('From Source', icon='file_download', on_click=add_from_source) # --- Standard / LoRA / VACE key sets --- lora_keys = ['lora 1 high', 'lora 1 low', 'lora 2 high', 'lora 2 low', 'lora 3 high', 'lora 3 low'] standard_keys = { 'general_prompt', 'general_negative', 'current_prompt', 'negative', 'prompt', 'seed', 'cfg', 'camera', 'flf', KEY_SEQUENCE_NUMBER, 'frame_to_skip', 'end_frame', 'transition', 'vace_length', 'input_a_frames', 'input_b_frames', 'reference switch', 'vace schedule', 'reference path', 'video file path', 'reference image path', 'flf image path', } standard_keys.update(lora_keys) def sort_by_number(): batch_list.sort(key=lambda s: int(s.get(KEY_SEQUENCE_NUMBER, 0))) data[KEY_BATCH_DATA] = batch_list save_json(file_path, data) ui.notify('Sorted by sequence number!', type='positive') render_sequence_list.refresh() # --- Sequence list + mass update (inside refreshable so they stay in sync) --- @ui.refreshable def render_sequence_list(): # Mass update (rebuilt on refresh so checkboxes match current sequences) _render_mass_update(batch_list, data, file_path, state, render_sequence_list) with ui.row().classes('w-full items-center'): ui.label(f'Batch contains {len(batch_list)} sequences.') ui.button('Sort by Number', icon='sort', on_click=sort_by_number).props('flat') for i, seq in enumerate(batch_list): with ui.card().classes('w-full q-mb-sm'): _render_sequence_card( i, seq, batch_list, data, file_path, state, _src_cache, src_seq_select, standard_keys, render_sequence_list, ) render_sequence_list() # --- Save & Snap --- with ui.card().classes('w-full q-pa-md q-mt-lg'): with ui.row().classes('w-full items-end q-gutter-md'): commit_input = ui.input('Change Note (Optional)', placeholder='e.g. Added sequence 3').classes('col') def save_and_snap(): data[KEY_BATCH_DATA] = batch_list tree_data = data.get(KEY_HISTORY_TREE, {}) htree = HistoryTree(tree_data) snapshot_payload = copy.deepcopy(data) snapshot_payload.pop(KEY_HISTORY_TREE, None) note = commit_input.value if commit_input.value else 'Batch Update' htree.commit(snapshot_payload, note=note) data[KEY_HISTORY_TREE] = htree.to_dict() save_json(file_path, data) state.restored_indicator = None commit_input.set_value('') ui.notify('Batch Saved & Snapshot Created!', type='positive') ui.button('Save & Snap', icon='save', on_click=save_and_snap).props('color=primary') # ====================================================================== # Single sequence card # ====================================================================== def _render_sequence_card(i, seq, batch_list, data, file_path, state, src_cache, src_seq_select, standard_keys, refresh_list): def commit(message=None): data[KEY_BATCH_DATA] = batch_list save_json(file_path, data) if message: ui.notify(message, type='positive') refresh_list.refresh() seq_num = seq.get(KEY_SEQUENCE_NUMBER, i + 1) if is_subsegment(seq_num): label = f'Sub #{parent_of(seq_num)}.{sub_index_of(seq_num)} ({int(seq_num)})' else: label = f'Sequence #{seq_num}' with ui.expansion(label, icon='movie').classes('w-full'): # --- Action row --- with ui.row().classes('w-full q-gutter-sm action-row'): # Copy from source def copy_source(idx=i, sn=seq_num): item = copy.deepcopy(DEFAULTS) src_batch = src_cache['batch'] sel_idx = src_seq_select.value if src_batch and sel_idx is not None: item.update(copy.deepcopy(src_batch[int(sel_idx)])) elif src_cache['data']: item.update(copy.deepcopy(src_cache['data'])) item[KEY_SEQUENCE_NUMBER] = sn item.pop(KEY_PROMPT_HISTORY, None) item.pop(KEY_HISTORY_TREE, None) batch_list[idx] = item commit('Copied!') ui.button('Copy Src', icon='file_download', on_click=copy_source).props('outline') # Clone Next def clone_next(idx=i, sn=seq_num, s=seq): new_seq = copy.deepcopy(s) new_seq[KEY_SEQUENCE_NUMBER] = max_main_seq_number(batch_list) + 1 if not is_subsegment(sn): pos = find_insert_position(batch_list, idx, int(sn)) else: pos = idx + 1 batch_list.insert(pos, new_seq) commit('Cloned to Next!') ui.button('Clone Next', icon='content_copy', on_click=clone_next).props('outline') # Clone End def clone_end(s=seq): new_seq = copy.deepcopy(s) new_seq[KEY_SEQUENCE_NUMBER] = max_main_seq_number(batch_list) + 1 batch_list.append(new_seq) commit('Cloned to End!') ui.button('Clone End', icon='vertical_align_bottom', on_click=clone_end).props('outline') # Clone Sub def clone_sub(idx=i, sn=seq_num, s=seq): new_seq = copy.deepcopy(s) p_seq = parent_of(sn) p_idx = idx if is_subsegment(sn): for pi, ps in enumerate(batch_list): if int(ps.get(KEY_SEQUENCE_NUMBER, 0)) == p_seq: p_idx = pi break new_seq[KEY_SEQUENCE_NUMBER] = next_sub_segment_number(batch_list, p_seq) pos = find_insert_position(batch_list, p_idx, p_seq) batch_list.insert(pos, new_seq) commit(f'Created {format_seq_label(new_seq[KEY_SEQUENCE_NUMBER])}!') ui.button('Clone Sub', icon='link', on_click=clone_sub).props('outline') # Spacer before Promote ui.element('div').classes('col') # Promote def promote(idx=i, s=seq): single_data = copy.deepcopy(s) single_data[KEY_PROMPT_HISTORY] = copy.deepcopy(data.get(KEY_PROMPT_HISTORY, [])) single_data[KEY_HISTORY_TREE] = copy.deepcopy(data.get(KEY_HISTORY_TREE, {})) single_data.pop(KEY_SEQUENCE_NUMBER, None) save_json(file_path, single_data) state.data_cache = single_data ui.notify('Converted to Single!', type='positive') # Full refresh so batch tab re-enters render_batch_processor # and sees the file is now single (no KEY_BATCH_DATA) state._render_main.refresh() ui.button('Promote', icon='north_west', on_click=promote) # Spacer before Delete ui.element('div').classes('col') # Delete def delete(idx=i): batch_list.pop(idx) commit() ui.button(icon='delete', on_click=delete).props('color=negative') ui.separator() # --- Prompts + Settings (2-column like Streamlit) --- with ui.splitter(value=66).classes('w-full') as splitter: with splitter.before: dict_textarea('General Prompt', seq, 'general_prompt').classes( 'w-full q-mt-sm').props('outlined rows=2') dict_textarea('General Negative', seq, 'general_negative').classes( 'w-full q-mt-sm').props('outlined rows=2') dict_textarea('Specific Prompt', seq, 'current_prompt').classes( 'w-full q-mt-sm').props('outlined rows=10') dict_textarea('Specific Negative', seq, 'negative').classes( 'w-full q-mt-sm').props('outlined rows=2') with splitter.after: # Sequence number sn_label = ( f'Seq Number (Sub #{parent_of(seq_num)}.{sub_index_of(seq_num)})' if is_subsegment(seq_num) else 'Sequence Number' ) sn_input = dict_number(sn_label, seq, KEY_SEQUENCE_NUMBER) sn_input.props('outlined').classes('w-full') # Seed + randomize with ui.row().classes('w-full items-end'): seed_input = dict_number('Seed', seq, 'seed').classes('col').props('outlined') def randomize_seed(si=seed_input, s=seq): new_seed = random.randint(0, 999999999999) si.set_value(new_seed) s['seed'] = new_seed 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') dict_number('End Frame', seq, 'end_frame').props('outlined').classes('w-full') dict_input(ui.input, 'Video File Path', seq, 'video file path').props( 'outlined').classes('w-full') # Image paths with preview for img_label, img_key in [ ('Reference Image Path', 'reference image path'), ('Reference Path', 'reference path'), ('FLF Image Path', 'flf image path'), ]: with ui.row().classes('w-full items-center'): inp = dict_input(ui.input, img_label, seq, img_key).classes( 'col').props('outlined') img_path = Path(seq.get(img_key, '')) if seq.get(img_key) else None if (img_path and img_path.exists() and img_path.suffix.lower() in IMAGE_EXTENSIONS): with ui.dialog() as dlg, ui.card(): ui.image(str(img_path)).classes('w-full') ui.button(icon='visibility', on_click=dlg.open).props('flat dense') # VACE Settings with ui.expansion('VACE Settings', icon='settings').classes('w-full'): _render_vace_settings(i, seq, batch_list, data, file_path, refresh_list) # --- LoRA Settings --- with ui.expansion('LoRA Settings', icon='style').classes('w-full'): with ui.row().classes('w-full q-gutter-md'): for lora_idx in range(1, 4): with ui.card().classes('col q-pa-sm surface-3'): ui.label(f'LoRA {lora_idx}').classes('text-subtitle2') for tier, tier_label in [('high', 'High'), ('low', 'Low')]: k = f'lora {lora_idx} {tier}' raw = str(seq.get(k, '')) disp = raw.replace('', '') with ui.row().classes('w-full items-center'): ui.label('').classes('text-caption font-mono') def on_lora_blur(e, key=k): v = e.sender.value seq[key] = f'' if v else '' lora_input.on('blur', on_lora_blur) # --- Custom Parameters --- ui.label('Custom Parameters').classes('section-header q-mt-md') custom_keys = [k for k in seq.keys() if k not in standard_keys] if custom_keys: for k in custom_keys: with ui.row().classes('w-full items-center'): ui.input('Key', value=k).props('readonly outlined dense').classes('w-32') dict_input(ui.input, 'Value', seq, k).props('outlined dense').classes('col') def del_custom(key=k): del seq[key] commit() ui.button(icon='delete', on_click=del_custom).props('flat dense color=negative') with ui.expansion('Add Parameter', icon='add').classes('w-full'): new_k_input = ui.input('Key').props('outlined dense') new_v_input = ui.input('Value').props('outlined dense') def add_param(): k = new_k_input.value v = new_v_input.value if k and k not in seq: seq[k] = v new_k_input.set_value('') new_v_input.set_value('') commit() ui.button('Add', on_click=add_param).props('flat') # ====================================================================== # VACE Settings sub-section # ====================================================================== def _render_vace_settings(i, seq, batch_list, data, file_path, refresh_list): # Frame to Skip + shift with ui.row().classes('w-full items-end'): fts_input = dict_number('Frame to Skip', seq, 'frame_to_skip').classes('col').props( 'outlined') # Capture original at render time; blur updates seq before click fires _original_fts = int(seq.get('frame_to_skip', FRAME_TO_SKIP_DEFAULT)) def shift_fts(idx=i, orig=_original_fts): new_fts = int(fts_input.value) if fts_input.value is not None else orig delta = new_fts - orig if delta == 0: ui.notify('No change to shift', type='info') return shifted = 0 for j in range(idx + 1, len(batch_list)): batch_list[j]['frame_to_skip'] = int( batch_list[j].get('frame_to_skip', FRAME_TO_SKIP_DEFAULT)) + delta shifted += 1 data[KEY_BATCH_DATA] = batch_list save_json(file_path, data) ui.notify(f'Shifted {shifted} sequences by {delta:+d}', type='positive') refresh_list.refresh() ui.button('Shift', icon='arrow_downward', on_click=shift_fts).props('dense') dict_input(ui.input, 'Transition', seq, 'transition').props('outlined').classes('q-mt-sm') # VACE Schedule sched_val = max(0, min(int(seq.get('vace schedule', 1)), len(VACE_MODES) - 1)) with ui.row().classes('w-full items-center q-mt-sm'): vs_input = dict_number('VACE Schedule', seq, 'vace schedule', default=1, min=0, max=len(VACE_MODES) - 1).classes('col').props('outlined') mode_label = ui.label(VACE_MODES[sched_val]).classes('text-caption') def update_mode_label(e): idx = int(e.sender.value) if e.sender.value is not None else 0 idx = max(0, min(idx, len(VACE_MODES) - 1)) mode_label.set_text(VACE_MODES[idx]) vs_input.on('update:model-value', update_mode_label) # Mode reference with ui.dialog() as ref_dlg, ui.card(): table_md = ( '| # | Mode | Formula |\n|:--|:-----|:--------|\n' + '\n'.join( f'| **{j}** | {VACE_MODES[j]} | `{VACE_FORMULAS[j]}` |' for j in range(len(VACE_MODES))) + '\n\n*All totals snapped to 4n+1 (1,5,9,...,49,...,81,...)*' ) ui.markdown(table_md) ui.button('Mode Reference', icon='help', on_click=ref_dlg.open).props('flat dense') # Input A / B frames ia_input = dict_number('Input A Frames', seq, 'input_a_frames').props('outlined').classes('q-mt-sm') ib_input = dict_number('Input B Frames', seq, 'input_b_frames').props('outlined').classes('q-mt-sm') # VACE Length + output calculation input_a = int(seq.get('input_a_frames', 16)) input_b = int(seq.get('input_b_frames', 16)) stored_total = int(seq.get('vace_length', 49)) mode_idx = int(seq.get('vace schedule', 1)) if mode_idx == 0: base_length = max(stored_total - input_a, 1) elif mode_idx == 1: base_length = max(stored_total - input_b, 1) else: base_length = max(stored_total - input_a - input_b, 1) with ui.row().classes('w-full items-center q-mt-sm'): vl_input = ui.number('VACE Length', value=base_length, min=1).classes('col').props( 'outlined') output_label = ui.label(f'Output: {stored_total}').classes('text-bold') def recalc_vace(*_args): mi = int(vs_input.value) if vs_input.value is not None else 0 ia = int(ia_input.value) if ia_input.value is not None else 16 ib = int(ib_input.value) if ib_input.value is not None else 16 nb = int(vl_input.value) if vl_input.value is not None else 1 if mi == 0: raw = nb + ia elif mi == 1: raw = nb + ib else: raw = nb + ia + ib snapped = ((raw + 2) // 4) * 4 + 1 seq['vace_length'] = snapped output_label.set_text(f'Output: {snapped}') for inp in (vs_input, ia_input, ib_input, vl_input): inp.on('update:model-value', recalc_vace) dict_number('Reference Switch', seq, 'reference switch').props('outlined').classes('q-mt-sm') # ====================================================================== # Mass Update # ====================================================================== def _render_mass_update(batch_list, data, file_path, state: AppState, refresh_list=None): with ui.expansion('Mass Update', icon='sync').classes('w-full'): if len(batch_list) < 2: ui.label('Need at least 2 sequences for mass update.').classes('text-caption') return source_options = {i: format_seq_label(s.get(KEY_SEQUENCE_NUMBER, i+1)) for i, s in enumerate(batch_list)} source_select = ui.select(source_options, value=0, label='Copy from sequence:').classes('w-full') field_select = ui.select([], multiple=True, label='Fields to copy:').classes('w-full') def update_fields(_=None): idx = source_select.value if idx is not None and 0 <= idx < len(batch_list): src = batch_list[idx] keys = [k for k in src.keys() if k != 'sequence_number'] field_select.set_options(keys) source_select.on_value_change(update_fields) update_fields() ui.label('Apply to:').classes('subsection-header q-mt-md') select_all_cb = ui.checkbox('Select All') target_checks = {} with ui.scroll_area().style('max-height: 250px'): for idx, s in enumerate(batch_list): sn = s.get(KEY_SEQUENCE_NUMBER, idx + 1) cb = ui.checkbox(format_seq_label(sn)) target_checks[idx] = cb def on_select_all(e): for cb in target_checks.values(): cb.set_value(e.value) select_all_cb.on_value_change(on_select_all) def apply_mass_update(): src_idx = source_select.value if src_idx is None or src_idx >= len(batch_list): ui.notify('Source sequence no longer exists', type='warning') return selected_keys = field_select.value or [] if not selected_keys: ui.notify('No fields selected', type='warning') return source_seq = batch_list[src_idx] targets = [idx for idx, cb in target_checks.items() if cb.value and idx != src_idx and idx < len(batch_list)] if not targets: ui.notify('No target sequences selected', type='warning') return for idx in targets: for key in selected_keys: batch_list[idx][key] = copy.deepcopy(source_seq.get(key)) data[KEY_BATCH_DATA] = batch_list htree = HistoryTree(data.get(KEY_HISTORY_TREE, {})) snapshot = copy.deepcopy(data) snapshot.pop(KEY_HISTORY_TREE, None) htree.commit(snapshot, f"Mass update: {', '.join(selected_keys)}") data[KEY_HISTORY_TREE] = htree.to_dict() save_json(file_path, data) ui.notify(f'Updated {len(targets)} sequences', type='positive') if refresh_list: refresh_list.refresh() ui.button('Apply Changes', icon='check', on_click=apply_mass_update).props( 'color=primary')