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ComfyUI-Lora-Manager/py/utils/example_images_migration.py
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Will Miao 7d963b27b5 fix(example-images): read real dimensions for imported videos, fixes #1115
Example videos added through the "Add examples" flow were stored with a
hardcoded 720x1280 entry. The dimension probe next to it only ran for
images (PIL cannot open .mp4/.webm files), so every video entry stayed
portrait regardless of the source. The showcase viewer then sizes its
container straight from that value (--media-aspect in showcase.css), so
landscape clips were letterboxed inside a 9:16 box. CivitAI-sourced
examples were unaffected because their dimensions come from the API.

PIL cannot read video containers, so add a dependency-free reader that
parses the container headers instead: moov/trak/tkhd for ISO base media
(with the sample description as a fallback), Segment/Tracks/Pixel* for
WebM/Matroska, and RIFF/WebP for animated examples saved with a video
extension. The sniffed signature decides which reader runs, so a .mp4
that is really WebM still reports the right size; the extension is only
a fallback. Both readers seek past mdat rather than reading it, so a
large file costs the same as a small one.

Imported entries now record the file's real size and keep the previous
placeholder only when the file cannot be parsed.

Existing libraries keep their wrong entries, so backfill them once via
the existing naming migration: bump CURRENT_NAMING_VERSION to 3 and
repair each model's empty-url entries from the files on disk, then sync
the scanner cache. Only entries with no remote url are touched -- those
have no other source, which makes the rewrite lossless -- and entries
already carrying the right size are left byte-identical, so the pass is
idempotent and a no-op for libraries that never imported a video.
2026-09-17 21:42:32 +08:00

584 lines
24 KiB
Python

import asyncio
import logging
import os
import re
import json
import shutil
from ..services.settings_manager import get_settings_manager
from ..services.service_registry import ServiceRegistry
from ..utils.example_images_paths import (
get_example_images_root,
is_hash_folder,
iter_library_roots,
uses_library_scoped_folders,
_library_folder_has_only_hash_dirs,
)
from ..utils.metadata_manager import MetadataManager
from ..utils.example_images_processor import ExampleImagesProcessor
from ..utils.example_images_metadata import (
repair_local_video_dimensions,
update_cache_from_metadata,
)
from ..utils.constants import SUPPORTED_MEDIA_EXTENSIONS
logger = logging.getLogger(__name__)
CURRENT_NAMING_VERSION = 3 # Increment this when naming conventions change
# Example files worth inspecting during the dimension repair.
_REPAIRABLE_EXTENSIONS = frozenset(
SUPPORTED_MEDIA_EXTENSIONS["images"] + SUPPORTED_MEDIA_EXTENSIONS["videos"]
)
class _SettingsProxy:
def __init__(self):
self._manager = None
def _resolve(self):
if self._manager is None:
self._manager = get_settings_manager()
return self._manager
def get(self, *args, **kwargs):
return self._resolve().get(*args, **kwargs)
def __getattr__(self, item):
return getattr(self._resolve(), item)
settings = _SettingsProxy()
class ExampleImagesMigration:
"""Handles migrations for example images naming conventions"""
@staticmethod
def _consolidate_library_folders():
"""Move hash folders from library-named subdirectories back to root.
When a user switches from multi-library mode back to single-library
mode, example images previously stored under e.g.
``<root>/default/<hash>/`` need to be moved back to
``<root>/<hash>/``. Running this once at startup removes the need
for ``get_model_folder()`` to perform directory scans on every
request.
"""
if uses_library_scoped_folders():
return
root = get_example_images_root()
if not root or not os.path.isdir(root):
return
moved: list[str] = []
cleaned: list[str] = []
try:
for entry in os.listdir(root):
# Fast regex checks first — no filesystem I/O.
if is_hash_folder(entry) or entry == "_deleted":
continue
entry_path = os.path.join(root, entry)
if not os.path.isdir(entry_path):
continue
if not _library_folder_has_only_hash_dirs(entry_path):
continue
try:
for hash_entry in os.listdir(entry_path):
hash_path = os.path.join(entry_path, hash_entry)
if not os.path.isdir(hash_path) or not is_hash_folder(hash_entry):
continue
target = os.path.join(root, hash_entry)
if not os.path.exists(target):
try:
shutil.move(hash_path, target)
moved.append(hash_entry)
except (OSError, shutil.Error) as exc:
logger.error(
"Failed to move '%s' → '%s': %s",
hash_path, target, exc,
)
except OSError as exc:
logger.error(
"Failed to list library subdirectory '%s': %s",
entry_path, exc,
)
try:
remaining = os.listdir(entry_path)
except OSError:
remaining = []
if not remaining:
try:
os.rmdir(entry_path)
cleaned.append(entry)
except OSError as exc:
logger.debug(
"Could not remove empty library dir '%s': %s",
entry_path, exc,
)
except OSError as exc:
logger.error(
"Failed to list example images root during consolidation: %s",
exc,
)
if moved:
logger.info(
"Consolidated %d example image folder(s) to root",
len(moved),
)
if cleaned:
logger.info(
"Removed %d empty library directories",
len(cleaned),
)
@staticmethod
async def check_and_run_migrations():
"""Check if migrations are needed and run them in background"""
root = settings.get('example_images_path')
if not root or not os.path.exists(root):
logger.debug("No example images path configured or path doesn't exist, skipping migrations")
return
# Run library-to-root consolidation once at startup so the hot
# path (get_model_folder) stays a pure-path computation.
ExampleImagesMigration._consolidate_library_folders()
for library_name, library_path in iter_library_roots():
if not library_path or not os.path.exists(library_path):
continue
current_version = 0
progress_file = os.path.join(library_path, '.download_progress.json')
if os.path.exists(progress_file):
try:
with open(progress_file, 'r', encoding='utf-8') as f:
progress_data = json.load(f)
current_version = progress_data.get('naming_version', 0)
except Exception as e:
logger.error(f"Failed to load progress file for migration check: {e}")
if current_version < CURRENT_NAMING_VERSION:
logger.info(
"Starting example images naming migration from v%s to v%s for library '%s'",
current_version,
CURRENT_NAMING_VERSION,
library_name,
)
asyncio.create_task(
ExampleImagesMigration.run_migrations(library_path, current_version, CURRENT_NAMING_VERSION)
)
@staticmethod
async def run_migrations(example_images_path, from_version, to_version):
"""Run necessary migrations based on version difference"""
try:
# Get all model folders
model_folders = []
for item in os.listdir(example_images_path):
item_path = os.path.join(example_images_path, item)
if os.path.isdir(item_path) and len(item) == 64: # SHA256 hash is 64 chars
model_folders.append(item_path)
logger.info(f"Found {len(model_folders)} model folders to check for migration")
# Apply migrations sequentially
if from_version < 1 and to_version >= 1:
await ExampleImagesMigration._migrate_to_v1(model_folders)
if from_version < 2 and to_version >= 2:
await ExampleImagesMigration._migrate_to_v2(model_folders)
if from_version < 3 and to_version >= 3:
await ExampleImagesMigration._migrate_to_v3(example_images_path, model_folders)
# Update version in progress file
progress_file = os.path.join(example_images_path, '.download_progress.json')
try:
progress_data = {}
if os.path.exists(progress_file):
with open(progress_file, 'r', encoding='utf-8') as f:
progress_data = json.load(f)
progress_data['naming_version'] = to_version
with open(progress_file, 'w', encoding='utf-8') as f:
json.dump(progress_data, f, indent=2)
logger.info(f"Example images naming migration to v{to_version} completed")
except Exception as e:
logger.error(f"Failed to update version in progress file: {e}")
except Exception as e:
logger.error(f"Error during migration: {e}", exc_info=True)
@staticmethod
async def _migrate_to_v1(model_folders):
"""Migrate from 1-based to 0-based indexing"""
count = 0
for folder in model_folders:
has_one_based = False
has_zero_based = False
files_to_rename = []
# Check naming pattern in this folder
for file in os.listdir(folder):
if re.match(r'image_1\.\w+$', file):
has_one_based = True
if re.match(r'image_0\.\w+$', file):
has_zero_based = True
# Only migrate folders with 1-based indexing and no 0-based
if has_one_based and not has_zero_based:
# Create rename mapping
for file in os.listdir(folder):
match = re.match(r'image_(\d+)\.(\w+)$', file)
if match:
index = int(match.group(1))
ext = match.group(2)
if index > 0: # Only rename if index is positive
files_to_rename.append((
file,
f"image_{index-1}.{ext}"
))
# Use temporary names to avoid conflicts
for old_name, new_name in files_to_rename:
old_path = os.path.join(folder, old_name)
temp_path = os.path.join(folder, f"temp_{old_name}")
try:
os.rename(old_path, temp_path)
except Exception as e:
logger.error(f"Failed to rename {old_path} to {temp_path}: {e}")
# Rename from temporary names to final names
for old_name, new_name in files_to_rename:
temp_path = os.path.join(folder, f"temp_{old_name}")
new_path = os.path.join(folder, new_name)
try:
os.rename(temp_path, new_path)
logger.debug(f"Renamed {old_name} to {new_name} in {folder}")
except Exception as e:
logger.error(f"Failed to rename {temp_path} to {new_path}: {e}")
count += 1
# Give other tasks a chance to run
if count % 10 == 0:
await asyncio.sleep(0)
logger.info(f"Migrated {count} folders from 1-based to 0-based indexing")
@staticmethod
async def _migrate_to_v2(model_folders):
"""
Migrate to v2 naming scheme:
- Move custom examples from images array to customImages array
- Rename files from image_<index>.<ext> to custom_<short_id>.<ext>
- Add id field to each custom image entry
"""
count = 0
updated_models = 0
migration_errors = 0
# Get scanner instances
lora_scanner = await ServiceRegistry.get_lora_scanner()
checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
# Wait until scanners are initialized
scanners = [lora_scanner, checkpoint_scanner]
for scanner in scanners:
if scanner.is_initializing():
logger.info("Waiting for scanners to complete initialization before starting migration...")
initialized = False
retry_count = 0
while not initialized and retry_count < 120: # Wait up to 120 seconds
await asyncio.sleep(1)
initialized = not scanner.is_initializing()
retry_count += 1
if not initialized:
logger.warning("Scanner initialization timeout - proceeding with migration anyway")
logger.info(f"Starting migration to v2 naming scheme for {len(model_folders)} model folders")
for folder in model_folders:
try:
# Extract model hash from folder name
model_hash = os.path.basename(folder)
if not model_hash or len(model_hash) != 64:
continue
# Find the model in scanner cache
model_data = None
scanner = None
for scan_obj in scanners:
if scan_obj.has_hash(model_hash):
cache = await scan_obj.get_cached_data()
for item in cache.raw_data:
if item.get('sha256') == model_hash:
model_data = item
scanner = scan_obj
break
if model_data:
break
if not model_data or not scanner:
logger.debug(f"Model with hash {model_hash} not found in cache, skipping migration")
continue
# Clone model data to avoid modifying the cache directly
model_metadata = model_data.copy()
# Check if model has civitai metadata
if not model_metadata.get('civitai'):
continue
# Get images array
images = model_metadata.get('civitai', {}).get('images', [])
if not images:
continue
# Initialize customImages array if it doesn't exist
if not model_metadata['civitai'].get('customImages'):
model_metadata['civitai']['customImages'] = []
# Find custom examples (entries with empty url)
custom_indices = []
for i, image in enumerate(images):
if image.get('url') == "":
custom_indices.append(i)
if not custom_indices:
continue
logger.debug(f"Found {len(custom_indices)} custom examples in {model_hash}")
# Process each custom example
for index in custom_indices:
try:
image_entry = images[index]
# Determine media type based on the entry type
media_type = 'videos' if image_entry.get('type') == 'video' else 'images'
extensions_to_try = SUPPORTED_MEDIA_EXTENSIONS[media_type]
# Find the image file by trying possible extensions
old_path = None
old_filename = None
found = False
for ext in extensions_to_try:
test_path = os.path.join(folder, f"image_{index}{ext}")
if os.path.exists(test_path):
old_path = test_path
old_filename = f"image_{index}{ext}"
found = True
break
if not found or old_path is None:
logger.warning(f"Could not find file for index {index} in {model_hash}, skipping")
continue
# Generate short ID for the custom example
short_id = ExampleImagesProcessor.generate_short_id()
# Get file extension
file_ext = os.path.splitext(old_path)[1]
# Create new filename
new_filename = f"custom_{short_id}{file_ext}"
new_path = os.path.join(folder, new_filename)
# Rename the file
try:
os.rename(old_path, new_path)
logger.debug(f"Renamed {old_filename} to {new_filename} in {folder}")
except Exception as e:
logger.error(f"Failed to rename {old_path} to {new_path}: {e}")
continue
# Create a copy of the image entry with the id field
custom_entry = image_entry.copy()
custom_entry['id'] = short_id
# Add to customImages array
model_metadata['civitai']['customImages'].append(custom_entry)
count += 1
except Exception as e:
logger.error(f"Error migrating custom example at index {index} for {model_hash}: {e}")
# Remove custom examples from the original images array
model_metadata['civitai']['images'] = [
img for i, img in enumerate(images) if i not in custom_indices
]
# Save the updated metadata
file_path = model_data.get('file_path')
if file_path:
try:
# Create a copy of model data without 'folder' field
model_copy = model_metadata.copy()
model_copy.pop('folder', None)
# Save metadata to file
await MetadataManager.save_metadata(file_path, model_copy)
# Update scanner cache
await update_cache_from_metadata(scanner, file_path, model_copy)
updated_models += 1
except Exception as e:
logger.error(f"Failed to save metadata for {model_hash}: {e}")
migration_errors += 1
# Give other tasks a chance to run
if count % 10 == 0:
await asyncio.sleep(0)
except Exception as e:
logger.error(f"Error migrating folder {folder}: {e}")
migration_errors += 1
logger.info(f"Migration to v2 complete: migrated {count} custom examples across {updated_models} models with {migration_errors} errors")
@staticmethod
def _build_local_file_map(folder):
"""Map entry markers to their files inside a model's example folder.
Keys are the marker alone (``custom_<id>`` → ``<id>``,
``image_<index>`` → ``<index>``) so they line up with the metadata
entries' ``id``/positional index without any prefix ambiguity.
"""
local_files = {}
try:
entries = os.listdir(folder)
except OSError as exc:
logger.debug("Could not list example folder %s: %s", folder, exc)
return local_files
for name in entries:
stem, ext = os.path.splitext(name)
if ext.lower() not in _REPAIRABLE_EXTENSIONS:
continue
if stem.startswith("custom_"):
local_files[stem[len("custom_"):]] = os.path.join(folder, name)
elif stem.startswith("image_"):
local_files[stem[len("image_"):]] = os.path.join(folder, name)
return local_files
@staticmethod
async def _find_scanner_for_hash(model_hash):
"""Return the scanner owning ``model_hash``, or ``None``."""
lora_scanner = await ServiceRegistry.get_lora_scanner()
checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
for scanner in (lora_scanner, checkpoint_scanner, embedding_scanner):
if scanner is None:
continue
try:
if scanner.has_hash(model_hash):
return scanner
except Exception as exc: # pragma: no cover - defensive
logger.debug("has_hash check failed for %s: %s", type(scanner).__name__, exc)
return None
@staticmethod
async def _migrate_to_v3(example_images_path, model_folders):
"""Backfill real dimensions for locally imported example videos.
Imported videos were stored with a hardcoded ``720x1280`` placeholder
(issue #1115), so landscape clips were rendered inside a portrait
container. Only entries with an empty ``url`` are touched — those have
no remote source, which makes the local file authoritative and the
rewrite lossless. Entries already carrying the right size are left
untouched, so re-running this migration is a no-op.
This runs once per library via the ``naming_version`` gate in
``run_migrations``; it is deliberately not wired into any request path.
"""
repaired_entries = 0
updated_models = 0
migration_errors = 0
logger.info(
"Starting v3 migration (local example video dimensions) for %d model folders",
len(model_folders),
)
for folder in model_folders:
try:
model_hash = os.path.basename(folder)
if not model_hash or len(model_hash) != 64:
continue
local_files = ExampleImagesMigration._build_local_file_map(folder)
if not local_files:
continue
scanner = await ExampleImagesMigration._find_scanner_for_hash(model_hash)
if scanner is None:
logger.debug(
"Model %s not found in any scanner cache, skipping dimension repair",
model_hash,
)
continue
cache = await scanner.get_cached_data()
model_data = None
for item in cache.raw_data:
if item.get("sha256") == model_hash:
model_data = item
break
if not model_data:
continue
file_path = model_data.get("file_path")
if not file_path:
continue
payload = await MetadataManager.load_metadata_payload(file_path)
if not isinstance(payload, dict):
continue
repaired = repair_local_video_dimensions(payload, local_files)
if repaired <= 0:
continue
# The model cache shape differs from the on-disk payload, so
# persist the file first and let the cache sync re-read it.
await MetadataManager.save_metadata(file_path, payload)
await update_cache_from_metadata(scanner, file_path, payload)
repaired_entries += repaired
updated_models += 1
except Exception as exc:
logger.error(
"Failed to repair example video dimensions for %s: %s",
folder,
exc,
)
migration_errors += 1
logger.info(
"Migration to v3 complete: repaired %d example entr(ies) across %d model(s) "
"with %d error(s)",
repaired_entries,
updated_models,
migration_errors,
)