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import os
import sys
import json
import urllib.parse
import subprocess
import threading
import asyncio
import shutil
from aiohttp import web
import folder_paths
import struct
from .utils import get_active_folder_types, get_folder_view_mode, get_active_physical_basenames, require_filename, resolve_folder_subdir, resolve_within
# Cover and sidecar lifecycle is intentionally bounded to exact candidate paths.
# Do not replace these checks with a directory-wide glob/walk: model folders can
# contain thousands of files, while this list has a small, constant upper bound.
MEDIA_EXTENSIONS = ('.png', '.jpg', '.jpeg', '.webp', '.gif', '.avif', '.mp4', '.webm', '.mov', '.avi')
MODEL_EXTENSIONS = ('.safetensors', '.ckpt', '.pt', '.bin')
PREVIEW_SUFFIXES = tuple(f'.preview{ext}' for ext in MEDIA_EXTENSIONS)
CIVITAI_BACKUP_SUFFIXES = tuple(f'.civitai_bak{ext}' for ext in MEDIA_EXTENSIONS)
SIDECAR_SUFFIXES = (
'.info', '.civitai.info', '.json', '.txt', '.yaml',
*MEDIA_EXTENSIONS,
*PREVIEW_SUFFIXES,
*CIVITAI_BACKUP_SUFFIXES,
)
def _first_existing_sidecar(base_path, suffixes):
for suffix in suffixes:
candidate = f"{base_path}{suffix}"
if os.path.isfile(candidate):
return candidate, suffix
return None, None
def _reset_model_cover(base_path):
"""Restore a recoverable cover without destroying the only existing image."""
backup_path, backup_suffix = _first_existing_sidecar(base_path, CIVITAI_BACKUP_SUFFIXES)
original_path, _ = _first_existing_sidecar(base_path, MEDIA_EXTENSIONS)
preview_paths = [
f"{base_path}{suffix}"
for suffix in PREVIEW_SUFFIXES
if os.path.isfile(f"{base_path}{suffix}")
]
if backup_path:
media_ext = backup_suffix[len('.civitai_bak'):]
restored_path = f"{base_path}.preview{media_ext}"
temp_path = f"{restored_path}.anomalous_tmp"
try:
# Copy first. If the backup cannot be read, the active custom cover
# remains untouched. os.replace then makes the actual restore atomic.
shutil.copy2(backup_path, temp_path)
os.replace(temp_path, restored_path)
for preview_path in preview_paths:
if preview_path != restored_path and os.path.isfile(preview_path):
os.remove(preview_path)
except Exception as exc:
try:
if os.path.isfile(temp_path):
os.remove(temp_path)
except OSError:
pass
return False, 'restore_failed', str(exc)
return True, 'civitai_backup', None
if original_path:
try:
for preview_path in preview_paths:
os.remove(preview_path)
except Exception as exc:
return False, 'restore_failed', str(exc)
return True, 'original_cover', None
if preview_paths:
# There is no recoverable source. Keep the current cover instead of
# turning a harmless Reset click into irreversible image loss.
return False, 'preserved_current', 'No Civitai backup or original cover exists.'
return True, 'no_cover', None
def _cache_token(file_path):
try:
return os.stat(file_path).st_mtime_ns
except OSError:
return 0
def _collect_folder_models(target_dir, folder_type, path_idx, rel_subfolder, page, limit):
"""Collect one folder in a worker thread with a single directory listing."""
try:
with os.scandir(target_dir) as iterator:
file_entries = {}
for entry in iterator:
try:
if entry.is_file():
file_entries[entry.name] = entry
except OSError:
continue
except OSError:
return {"models": [], "total": 0, "page": page, "limit": limit}
valid_files = sorted(
(name for name in file_entries if name.endswith(('.safetensors', '.ckpt', '.pt'))),
key=str.lower,
)
total = len(valid_files)
if limit > 0:
start = max(0, (page - 1) * limit)
sliced = valid_files[start:start + limit]
else:
sliced = valid_files
q_type = urllib.parse.quote(folder_type)
q_idx = str(path_idx)
q_sub = urllib.parse.quote(rel_subfolder.strip('/')) if rel_subfolder and rel_subfolder != '/' else ""
models = []
for filename in sliced:
file_path = os.path.join(target_dir, filename)
metadata = get_metadata(file_path)
base_name = os.path.splitext(filename)[0]
preview_file = next(
(base_name + suffix for suffix in PREVIEW_SUFFIXES + MEDIA_EXTENSIONS if base_name + suffix in file_entries),
None,
)
preview_url = ""
if preview_file:
q_file = urllib.parse.quote(preview_file)
try:
preview_version = file_entries[preview_file].stat().st_mtime_ns
except OSError:
preview_version = 0
preview_url = (
f"/anomalous/image?type={q_type}&path_idx={q_idx}&subfolder={q_sub}"
f"&filename={q_file}&t={preview_version}"
)
try:
model_stat = file_entries[filename].stat()
size_bytes = model_stat.st_size
size_mb = round(size_bytes / (1024 * 1024), 2)
except OSError:
size_mb = 0
size_bytes = 0
models.append({
"filename": filename,
"size_mb": size_mb,
"size_bytes": size_bytes,
"metadata": metadata,
"preview_url": preview_url,
"type": folder_type,
"path_idx": path_idx,
"subfolder": rel_subfolder,
})
return {"models": models, "total": total, "page": page, "limit": limit}
def _collect_folders():
mode = get_folder_view_mode()
result = []
seen_dirs = set()
if mode == "physical":
active_bns = get_active_physical_basenames()
all_paths_info = []
for t in folder_paths.folder_names_and_paths.keys():
try:
paths = folder_paths.get_folder_paths(t)
if not paths: continue
for path_idx, base_dir in enumerate(paths):
if not os.path.exists(base_dir): continue
real_path = os.path.realpath(base_dir)
if real_path in seen_dirs: continue
seen_dirs.add(real_path)
bn = os.path.basename(os.path.normpath(base_dir))
all_paths_info.append({
"t": t,
"path_idx": path_idx,
"base_dir": base_dir,
"bn": bn
})
except:
pass
for target_bn in active_bns:
matched = [p for p in all_paths_info if p["bn"] == target_bn]
if not matched: continue
for item in matched:
base_dir = item["base_dir"]
tree = {}
for root, dirs, files in os.walk(base_dir):
has_models = any(f.endswith(('.safetensors', '.ckpt', '.pt')) for f in files)
rel = os.path.relpath(root, base_dir)
if rel == '.':
rel = '/'
else:
rel = '/' + rel.replace('\\', '/')
tree[rel] = {
"path": rel,
"name": os.path.basename(root) if rel != '/' else '[Root]',
"has_models": has_models,
"model_count": sum(1 for f in files if f.endswith(('.safetensors', '.ckpt', '.pt')))
}
label = item["bn"]
if len(matched) > 1:
label += f" ({item['path_idx'] + 1})"
result.append({
"type": item["t"],
"path_idx": item["path_idx"],
"label": label,
"folders": tree
})
else:
types = get_active_folder_types()
for t in types:
try:
paths = folder_paths.get_folder_paths(t)
except Exception:
continue
if not paths:
continue
for path_idx, base_dir in enumerate(paths):
if not os.path.exists(base_dir):
continue
real_path = os.path.realpath(base_dir)
if real_path in seen_dirs:
continue
seen_dirs.add(real_path)
tree = {}
for root, dirs, files in os.walk(base_dir):
has_models = any(f.endswith(('.safetensors', '.ckpt', '.pt')) for f in files)
rel = os.path.relpath(root, base_dir)
if rel == '.':
rel = '/'
else:
rel = '/' + rel.replace('\\', '/')
tree[rel] = {
"path": rel,
"name": os.path.basename(root) if rel != '/' else '[Root]',
"has_models": has_models,
"model_count": sum(1 for f in files if f.endswith(('.safetensors', '.ckpt', '.pt')))
}
try:
folder_basename = os.path.basename(os.path.normpath(base_dir))
if not folder_basename:
folder_basename = t
except:
folder_basename = t
label = folder_basename
basenames = []
try:
basenames = [os.path.basename(os.path.normpath(p)) for p in paths]
except:
pass
if basenames.count(folder_basename) > 1:
label += f" ({path_idx + 1})"
result.append({
"type": t,
"path_idx": path_idx,
"label": label,
"folders": tree
})
return {"folders": result}
async def api_get_folders(request):
return web.json_response(await asyncio.to_thread(_collect_folders))
async def api_get_models(request):
folder_type = request.query.get('type', 'checkpoints')
subfolder = request.query.get('subfolder', '/')
page = int(request.query.get('page', 1))
limit = int(request.query.get('limit', 0))
try:
path_idx = int(request.query.get('path_idx', 0))
except:
path_idx = 0
try:
paths = folder_paths.get_folder_paths(folder_type)
except Exception:
return web.json_response({"models": [], "total": 0})
try:
base_dir, target_dir = resolve_folder_subdir(folder_type, path_idx, subfolder)
except (ValueError, KeyError):
return web.Response(status=400, text='Invalid subfolder')
rel_subfolder = "" if subfolder == '/' else subfolder.strip('/\\')
if not os.path.exists(target_dir):
return web.json_response({"models": [], "total": 0})
payload = await asyncio.to_thread(
_collect_folder_models,
target_dir,
folder_type,
path_idx,
rel_subfolder,
page,
limit,
)
return web.json_response(payload)
async def api_find_model(request):
search = request.query.get('search', '').lower()
if not search:
return web.json_response({"status": "error", "message": "No search query provided"})
for folder_type in folder_paths.folder_names_and_paths.keys():
paths = folder_paths.get_folder_paths(folder_type)
if not paths: continue
for path_idx, base_dir in enumerate(paths):
if not os.path.exists(base_dir): continue
for root, dirs, files in os.walk(base_dir):
for f in files:
if f.endswith('.safetensors') or f.endswith('.ckpt') or f.endswith('.pt') or f.endswith('.bin') or f.endswith('.sft'):
search_norm = search.replace(os.sep, '/')
abs_path_norm = os.path.join(root, f).replace(os.sep, '/').lower()
if search_norm in f.lower() or search_norm in abs_path_norm:
rel_subfolder = os.path.relpath(root, base_dir)
if rel_subfolder == '.': rel_subfolder = '/'
file_path = os.path.join(root, f)
meta = get_metadata(file_path)
base_name = os.path.splitext(f)[0]
preview_file = None
for ext in PREVIEW_SUFFIXES + MEDIA_EXTENSIONS:
if os.path.exists(os.path.join(root, base_name + ext)):
preview_file = base_name + ext
break
preview_url = ""
if preview_file:
q_type = urllib.parse.quote(folder_type)
q_idx = str(path_idx)
q_sub = urllib.parse.quote(rel_subfolder)
q_file = urllib.parse.quote(preview_file)
mtime = _cache_token(os.path.join(root, preview_file))
preview_url = f"/anomalous/image?type={q_type}&path_idx={q_idx}&subfolder={q_sub}&filename={q_file}&t={mtime}"
try: size_mb = round(os.path.getsize(file_path) / (1024 * 1024), 1)
except: size_mb = 0
modelData = {
"filename": f,
"size_mb": size_mb,
"metadata": meta,
"preview_url": preview_url
}
return web.json_response({
"status": "success",
"model": modelData,
"type": folder_type,
"path_idx": path_idx,
"subfolder": rel_subfolder
})
return web.json_response({"status": "error", "message": "Model not found"})
async def api_delete_model(request):
try:
data = await request.json()
folder_type = data.get('type', 'checkpoints')
subfolder = data.get('subfolder', '/')
filename = data.get('filename', '')
try:
path_idx = int(data.get('path_idx', 0))
except:
path_idx = 0
try:
filename = require_filename(filename)
_, target_dir = resolve_folder_subdir(folder_type, path_idx, subfolder)
model_path = resolve_within(target_dir, filename)
except (ValueError, KeyError):
return web.json_response({"status": "error", "message": "Invalid request parameters"}, status=400)
if not os.path.exists(model_path):
return web.json_response({"status": "error", "message": "Model file not found"})
# 1. 优先尝试删除你点击的主模型文件
try:
os.remove(model_path)
except Exception as e:
error_msg = str(e)
if "being used" in error_msg or "WinError 32" in error_msg or "Permission" in error_msg:
error_msg = "文件被占用 (正在被 ComfyUI 使用)。请先重启 ComfyUI 或在工作流中卸载该模型后再删除！"
return web.json_response({"status": "error", "message": f"主模型删除失败: {error_msg}"})
base_name = os.path.splitext(filename)[0]
# 2. 主模型成功删除后，再清理配套的垃圾文件
# Sidecars are keyed by stem, not by the main model extension. If a
# second real model shares this stem, preserve the shared sidecars for
# the survivor instead of treating that model as cleanup debris.
shared_stem_in_use = any(
os.path.isfile(os.path.join(target_dir, base_name + model_ext))
for model_ext in MODEL_EXTENSIONS
)
deleted_files = [filename]
if not shared_stem_in_use:
for suffix in SIDECAR_SUFFIXES:
file_to_del = os.path.join(target_dir, base_name + suffix)
if os.path.isfile(file_to_del):
try:
os.remove(file_to_del)
deleted_files.append(base_name + suffix)
except Exception as e:
print(f"[Anomalous Browser] Warning: Failed to delete {file_to_del}: {e}")
# 3. 修正：前端期待的成功状态是 "success" 而不是 "ok"
return web.json_response({
"status": "success",
"deleted": deleted_files,
"sidecars_preserved": shared_stem_in_use,
})
except Exception as e:
import traceback
traceback.print_exc()
return web.json_response({"status": "error", "message": str(e)}, status=500)
async def api_compatible_models(request):
base_model = request.query.get('base_model', '')
target_type = request.query.get('target_type', 'loras')
if not base_model:
return web.json_response({"models": []})
target_types = [t.strip() for t in target_type.split(',')]
compatible_models = []
seen_files = set()
for t in target_types:
try:
paths = folder_paths.get_folder_paths(t)
except Exception:
continue
if not paths:
continue
for path_idx, base_dir in enumerate(paths):
if not os.path.exists(base_dir):
continue
for root, _, files in os.walk(base_dir):
for f in files:
if f.endswith('.safetensors') or f.endswith('.ckpt') or f.endswith('.pt'):
file_path = os.path.join(root, f)
real_path = os.path.realpath(file_path)
if real_path in seen_files:
continue
seen_files.add(real_path)
meta = get_metadata(file_path)
m_bm = str(meta.get("baseModel", "")).strip().lower().replace(" ", "")
req_bm = str(base_model).strip().lower().replace(" ", "")
if req_bm and m_bm and (req_bm in m_bm or m_bm in req_bm):
rel_subfolder = os.path.relpath(root, base_dir)
if rel_subfolder == '.':
rel_subfolder = '/'
else:
rel_subfolder = '/' + rel_subfolder.replace('\\', '/')
base_name = os.path.splitext(f)[0]
preview_file = None
for ext in PREVIEW_SUFFIXES + MEDIA_EXTENSIONS:
if os.path.exists(os.path.join(root, base_name + ext)):
preview_file = base_name + ext
break
preview_url = ""
if preview_file:
q_type = urllib.parse.quote(t)
q_idx = str(path_idx)
q_sub = urllib.parse.quote(rel_subfolder.strip('/')) if rel_subfolder != '/' else ""
q_file = urllib.parse.quote(preview_file)
preview_url = f"/anomalous/image?type={q_type}&path_idx={q_idx}&subfolder={q_sub}&filename={q_file}"
try:
size_bytes = os.path.getsize(file_path)
size_mb = round(size_bytes / (1024 * 1024), 1)
except Exception:
size_mb = 0
size_bytes = 0
compatible_models.append({
"type": t,
"path_idx": path_idx,
"subfolder": rel_subfolder,
"filename": f,
"size_mb": size_mb,
"size_bytes": size_bytes,
"preview_url": preview_url,
"metadata": meta
})
return web.json_response({"models": compatible_models})
async def api_base_models(request):
target_types = get_active_folder_types()
base_models = set()
seen_files = set()
for t in target_types:
try:
paths = folder_paths.get_folder_paths(t)
except Exception:
continue
if not paths: continue
for base_dir in paths:
if not os.path.exists(base_dir): continue
for root, _, files in os.walk(base_dir):
for f in files:
if f.endswith('.safetensors') or f.endswith('.ckpt') or f.endswith('.pt'):
file_path = os.path.join(root, f)
real_path = os.path.realpath(file_path)
if real_path in seen_files: continue
seen_files.add(real_path)
meta = get_metadata(file_path)
m_bm = meta.get("baseModel", "")
if m_bm and str(m_bm).strip():
# Remove typical generic strings that might pollute
clean_bm = str(m_bm).strip()
base_models.add(clean_bm)
return web.json_response({"base_models": sorted(list(base_models))})
RESOLVABLE_MODEL_TYPES = ('checkpoints', 'loras', 'unet', 'diffusion_models', 'controlnet', 'vae')
def _parse_resolution_types(expected_types_raw):
if not expected_types_raw:
return RESOLVABLE_MODEL_TYPES
requested = tuple(dict.fromkeys(
value.strip() for value in str(expected_types_raw).split(',') if value.strip()
))
if not requested or any(value not in RESOLVABLE_MODEL_TYPES for value in requested):
raise ValueError("Invalid model type")
return requested
def _collect_resolution_candidates(types):
candidates = []
seen_realpaths = set()
for folder_type in types:
try:
paths = folder_paths.get_folder_paths(folder_type)
except Exception:
continue
for base_dir in paths or []:
if not os.path.exists(base_dir):
continue
for root, _, files in os.walk(base_dir):
for filename in files:
if not filename.lower().endswith(('.safetensors', '.ckpt', '.pt')):
continue
file_path = os.path.join(root, filename)
real_path = os.path.realpath(file_path)
if real_path in seen_realpaths:
continue
try:
file_size = os.path.getsize(file_path)
except OSError:
continue
seen_realpaths.add(real_path)
candidates.append({
"type": folder_type,
"filename": os.path.relpath(file_path, base_dir).replace('\\', '/'),
"path": file_path,
"size": file_size,
})
return candidates
def _candidate_hashes(candidate):
from .metadata import _extract_safetensors_hash
if "hashes" in candidate:
return candidate["hashes"]
values = set()
metadata = candidate.get("metadata")
if metadata is None:
metadata = get_metadata(candidate["path"])
candidate["metadata"] = metadata
meta_hash = metadata.get("hash", "")
if meta_hash:
values.add(str(meta_hash).upper())
if candidate["path"].lower().endswith('.safetensors'):
header_hash = _extract_safetensors_hash(candidate["path"])
if header_hash:
values.add(str(header_hash).upper())
candidate["hashes"] = values
return values
def _resolved_payload(candidate, **details):
payload = {
"found": True,
"type": candidate["type"],
"filename": candidate["filename"],
}
payload.update(details)
return payload
def _resolve_from_candidates(candidates, target_hash="", target_size=None, filename_query=""):
target_hash = str(target_hash or "").strip().upper()
if filename_query:
normalized_query = str(filename_query).replace('\\', '/').lstrip('./')
query_basename = normalized_query.rsplit('/', 1)[-1]
for candidate in candidates:
if candidate["filename"] == normalized_query or (
'/' not in normalized_query and os.path.basename(candidate["filename"]) == query_basename
):
return _resolved_payload(candidate, matched_by_filename=True)
has_target_hash = bool(target_hash and target_hash != "UNKNOWN")
size_matches = [
candidate for candidate in candidates
if target_size is not None and candidate["size"] == target_size
]
if has_target_hash and target_size is not None:
combined_matches = [candidate for candidate in size_matches if target_hash in _candidate_hashes(candidate)]
if len(combined_matches) == 1:
return _resolved_payload(combined_matches[0], matched_by_hash=True, matched_by_size=True)
if len(combined_matches) > 1:
return {"found": False, "ambiguous": True}
hash_matches = [candidate for candidate in candidates if target_hash in _candidate_hashes(candidate)]
if hash_matches:
return {"found": False, "identity_conflict": True}
if len(size_matches) == 1:
return _resolved_payload(size_matches[0], matched_by_size=True, stale_hash=True)
if len(size_matches) > 1:
return {"found": False, "ambiguous": True}
if has_target_hash:
hash_matches = [candidate for candidate in candidates if target_hash in _candidate_hashes(candidate)]
if len(hash_matches) == 1:
return _resolved_payload(hash_matches[0], matched_by_hash=True)
if len(hash_matches) > 1:
return {"found": False, "ambiguous": True}
if target_size is not None:
if len(size_matches) == 1:
return _resolved_payload(size_matches[0], matched_by_size=True)
if len(size_matches) > 1:
return {"found": False, "ambiguous": True}
return {"found": False}
async def api_resolve_hash(request):
target_hash = request.query.get("hash", "").strip().upper()
size_str = request.query.get("size", "").strip()
filename_query = request.query.get("filename", "").strip()
target_size = int(size_str) if size_str.isdigit() else None
if not target_hash and target_size is None and not filename_query:
return web.json_response({"found": False})
try:
types = _parse_resolution_types(request.query.get("type", "").strip())
except ValueError as exc:
return web.json_response({"found": False, "error": str(exc)}, status=400)
def resolve_one():
candidates = _collect_resolution_candidates(types)
return _resolve_from_candidates(candidates, target_hash, target_size, filename_query)
return web.json_response(await asyncio.to_thread(resolve_one))
async def api_resolve_hash_batch(request):
try:
data = await request.json()
items = data.get("items", [])
except Exception:
return web.json_response({"error": "Invalid JSON body"}, status=400)
if not isinstance(items, list) or len(items) > 256:
return web.json_response({"error": "items must be a list with at most 256 entries"}, status=400)
parsed_items = []
try:
for index, item in enumerate(items):
if not isinstance(item, dict):
raise ValueError("Invalid batch item")
size_value = item.get("size")
size_string = str(size_value).strip() if size_value is not None else ""
parsed_items.append({
"key": str(item.get("key", index)),
"hash": str(item.get("hash", "")).strip().upper(),
"size": int(size_string) if size_string.isdigit() else None,
"types": _parse_resolution_types(str(item.get("type", "")).strip()),
})
except (TypeError, ValueError) as exc:
return web.json_response({"error": str(exc)}, status=400)
def resolve_batch():
candidate_groups = {}
results = []
for item in parsed_items:
types = item["types"]
if types not in candidate_groups:
candidate_groups[types] = _collect_resolution_candidates(types)
result = _resolve_from_candidates(
candidate_groups[types],
item["hash"],
item["size"],
)
results.append({"key": item["key"], "result": result})
return results
return web.json_response({"results": await asyncio.to_thread(resolve_batch)})
async def api_get_all_hashes(request):
"""
Returns a dictionary of all scanned models with their hash and size.
Keyed by both relative path and basename for maximum frontend resilience.
"""
import asyncio
def fetch_all():
hashes = {}
ambiguous_keys = set()
def add_hash(key, value):
if key in ambiguous_keys:
return
existing = hashes.get(key)
if existing is None or existing == value:
hashes[key] = value
else:
hashes.pop(key, None)
ambiguous_keys.add(key)
types = ['checkpoints', 'loras', 'unet', 'diffusion_models', 'controlnet', 'vae']
seen_dirs = set()
for t in types:
try:
paths = folder_paths.get_folder_paths(t)
if not paths: continue
for base_dir in paths:
if base_dir in seen_dirs: continue
seen_dirs.add(base_dir)
if not os.path.exists(base_dir): continue
for root, dirs, files in os.walk(base_dir):
for file in files:
if file.endswith('.safetensors') or file.endswith('.ckpt') or file.endswith('.pt'):
file_path = os.path.join(root, file)
try:
size_bytes = os.path.getsize(file_path)
except Exception:
size_bytes = 0
meta = get_metadata(file_path)
hash_val = ""
if meta and meta.get("hash"):
hash_val = meta["hash"]
rel_path = os.path.relpath(file_path, base_dir)
if rel_path.startswith('.\\') or rel_path.startswith('./'):
rel_path = rel_path[2:]
rel_path = rel_path.replace('\\', '/')
basename = os.path.basename(file_path)
val = {"hash": hash_val, "size": size_bytes}
add_hash(rel_path, val)
add_hash(basename, val)
except Exception:
pass
return hashes
hashes = await asyncio.to_thread(fetch_all)
return web.json_response(hashes)
async def api_update_metadata(request):
try:
data = await request.json()
folder_type = data.get('type', 'checkpoints')
subfolder = data.get('subfolder', '/')
filename = data.get('filename', '')
custom_name = data.get('custom_name', '')
custom_notes = data.get('custom_notes', '')
physical_rename = data.get('physical_rename', False)
try: path_idx = int(data.get('path_idx', 0))
except: path_idx = 0
try:
filename = require_filename(filename)
_, target_dir = resolve_folder_subdir(folder_type, path_idx, subfolder)
file_path = resolve_within(target_dir, filename)
except (ValueError, KeyError):
return web.json_response({"status": "error", "message": "Invalid request parameters"}, status=400)
if not os.path.exists(file_path):
return web.json_response({"status": "error", "message": "Model not found"})
base_name = os.path.splitext(file_path)[0]
model_ext = os.path.splitext(file_path)[1]
info_file = f"{base_name}.civitai.info"
info_data = {}
if os.path.exists(info_file):
parsed = False
for enc in ['utf-8', 'utf-8-sig', 'mbcs', 'latin-1']:
try:
with open(info_file, 'r', encoding=enc) as f:
info_data = json.load(f)
parsed = True
break
except Exception:
pass
if not parsed:
return web.json_response({"status": "error", "message": "Failed to parse existing .civitai.info file due to encoding or corruption. Rename aborted to prevent data loss."})
info_data["anomalous_custom_name"] = custom_name
info_data["anomalous_custom_notes"] = custom_notes
reset_cover = data.get('reset_cover', False)
cover_reset = None
cover_reset_source = None
cover_reset_warning = None
if reset_cover:
cover_reset, cover_reset_source, cover_reset_warning = _reset_model_cover(base_name)
with open(info_file, 'w', encoding='utf-8') as f:
json.dump(info_data, f, indent=4, ensure_ascii=False)
new_filename = filename
if physical_rename and custom_name:
import re
safe_name = re.sub(r'[<>:"/\\|?*]', '_', custom_name).strip(' .')
if not safe_name:
return web.json_response({"status": "error", "message": "The physical filename cannot be empty."}, status=400)
new_file_path = os.path.join(target_dir, f"{safe_name}{model_ext}")
if new_file_path != file_path and not os.path.exists(new_file_path):
os.rename(file_path, new_file_path)
for suffix in SIDECAR_SUFFIXES:
old_sidecar = f"{base_name}{suffix}"
if os.path.isfile(old_sidecar):
os.rename(old_sidecar, os.path.join(target_dir, f"{safe_name}{suffix}"))
new_filename = f"{safe_name}{model_ext}"
elif os.path.exists(new_file_path) and new_file_path != file_path:
return web.json_response({"status": "error", "message": "A file with the target physical name already exists."})
response_data = {"status": "success", "new_filename": new_filename}
if reset_cover:
response_data.update({
"cover_reset": cover_reset,
"cover_reset_source": cover_reset_source,
"cover_reset_warning": cover_reset_warning,
})
return web.json_response(response_data)
except Exception as e:
return web.json_response({"status": "error", "message": str(e)})
async def _handle_custom_cover(target_dir, filename, save_func, source_ext='.png'):
base_name = os.path.splitext(filename)[0]
# Always save custom covers with a .preview.[ext] suffix so standard nodes recognize them as covers.
if source_ext.startswith('.preview.'):
preview_ext = source_ext
else:
preview_ext = f".preview{source_ext}"
dest_path = os.path.join(target_dir, f"{base_name}{preview_ext}")
# Delete any existing .preview.* files to ensure only one custom cover is active
for ext in PREVIEW_SUFFIXES:
p = os.path.join(target_dir, f"{base_name}{ext}")
if os.path.exists(p) and p != dest_path:
try: os.remove(p)
except: pass
await save_func(dest_path)
async def api_set_custom_cover(request):
try:
data = await request.json()
folder_type = data.get('type', 'checkpoints')
subfolder = data.get('subfolder', '/')
filename = data.get('filename', '')
source_image = data.get('source_image', '')
try: path_idx = int(data.get('path_idx', 0))
except: path_idx = 0
try:
filename = require_filename(filename)
_, target_dir = resolve_folder_subdir(folder_type, path_idx, subfolder)
output_dir = folder_paths.get_output_directory()
src_path = resolve_within(output_dir, source_image)
except (ValueError, KeyError):
return web.json_response({"status": "error", "message": "Invalid request parameters"}, status=400)
if not os.path.exists(src_path):
return web.json_response({"status": "error", "message": "Source image not found in output directory"})
source_ext = os.path.splitext(src_path)[1].lower()
if source_ext not in {'.png', '.jpg', '.jpeg', '.webp', '.gif', '.avif', '.mp4', '.webm', '.mov', '.avi'}:
return web.json_response({"status": "error", "message": "Unsupported cover format"}, status=415)
async def save_copy(dest_path):
import shutil
import asyncio
await asyncio.to_thread(shutil.copy2, src_path, dest_path)
await _handle_custom_cover(target_dir, filename, save_copy, source_ext)
return web.json_response({"status": "success"})
except Exception as e:
return web.json_response({"status": "error", "message": str(e)})
async def api_upload_custom_cover(request):
try:
data = await request.post()
folder_type = data.get('type', 'checkpoints')
subfolder = data.get('subfolder', '/')
filename = data.get('filename', '')
try: path_idx = int(data.get('path_idx', 0))
except: path_idx = 0
image_field = data.get('image')
try:
filename = require_filename(filename)
_, target_dir = resolve_folder_subdir(folder_type, path_idx, subfolder)
except (ValueError, KeyError):
return web.json_response({"status": "error", "message": "Invalid request parameters"}, status=400)
if image_field is None:
return web.json_response({"status": "error", "message": "Image is required"}, status=400)
image_data = image_field.file.read()
if len(image_data) > 100 * 1024 * 1024:
return web.json_response({"status": "error", "message": "Cover file is too large"}, status=413)
upload_filename = image_field.filename
source_ext = os.path.splitext(upload_filename)[1].lower()
if source_ext not in {'.png', '.jpg', '.jpeg', '.webp', '.gif', '.avif', '.mp4', '.webm', '.mov', '.avi'}:
return web.json_response({"status": "error", "message": "Unsupported cover format"}, status=415)
async def save_upload(dest_path):
def write_file():
with open(dest_path, 'wb') as f:
f.write(image_data)
import asyncio
await asyncio.to_thread(write_file)
await _handle_custom_cover(target_dir, filename, save_upload, source_ext)
return web.json_response({"status": "success"})
except Exception as e:
return web.json_response({"status": "error", "message": str(e)})
import struct
def _preview_url_for_model(folder_type, path_idx, base_dir, file_path):
root = os.path.dirname(file_path)
filename = os.path.basename(file_path)
base_name = os.path.splitext(filename)[0]
preview_file = next(
(
base_name + suffix
for suffix in PREVIEW_SUFFIXES + MEDIA_EXTENSIONS
if os.path.isfile(os.path.join(root, base_name + suffix))
),
None,
)
if not preview_file:
return ""
rel_subfolder = os.path.relpath(root, base_dir)
if rel_subfolder == '.':
rel_subfolder = '/'
q_type = urllib.parse.quote(folder_type)
q_idx = str(path_idx)
q_sub = urllib.parse.quote(rel_subfolder)
q_file = urllib.parse.quote(preview_file)
version = _cache_token(os.path.join(root, preview_file))
return f"/anomalous/image?type={q_type}&path_idx={q_idx}&subfolder={q_sub}&filename={q_file}&t={version}"
def _model_info_for_path(folder_type, path_idx, base_dir, file_path):
root = os.path.dirname(file_path)
rel_subfolder = os.path.relpath(root, base_dir)
if rel_subfolder == '.':
rel_subfolder = '/'
else:
rel_subfolder = '/' + rel_subfolder.replace(os.sep, '/')
return {
"type": folder_type,
"path_idx": path_idx,
"subfolder": rel_subfolder,
"filename": os.path.basename(file_path),
"preview_url": _preview_url_for_model(folder_type, path_idx, base_dir, file_path),
"metadata": get_metadata(file_path),
}
def _allowed_folder_types(requested_types=None):
available = list(folder_paths.folder_names_and_paths.keys())
if requested_types is None:
return available
if not isinstance(requested_types, list):
return []
allowed = set(available)
return list(dict.fromkeys(
folder_type
for folder_type in requested_types
if isinstance(folder_type, str) and folder_type in allowed
))
def _resolve_paths_to_model_info_sync(paths, folder_types=None):
requested = [
(path, path.replace('\\', '/').lower(), path.replace('\\', '/'))
for path in paths
if isinstance(path, str)
]
exact_results = {}
roots = []
for folder_type in _allowed_folder_types(folder_types):
try:
folder_dirs = folder_paths.get_folder_paths(folder_type)
except Exception:
continue
for path_idx, base_dir in enumerate(folder_dirs or []):
if not os.path.isdir(base_dir):
continue
real_base_dir = os.path.realpath(base_dir)
roots.append((folder_type, path_idx, real_base_dir))
for original, _, relative_path in requested:
relative = relative_path.replace('/', os.sep)
candidate = os.path.realpath(os.path.join(real_base_dir, relative))
try:
if os.path.commonpath((real_base_dir, candidate)) != real_base_dir:
continue
except ValueError:
continue
if os.path.isfile(candidate) and candidate.lower().endswith(('.safetensors', '.ckpt', '.pt', '.bin', '.sft')):
exact_results[original] = _model_info_for_path(folder_type, path_idx, base_dir, candidate)
unresolved = [(original, normalized) for original, normalized, _ in requested if original not in exact_results]
if not unresolved:
return exact_results
wanted_relpaths = {normalized for _, normalized in unresolved}
wanted_basenames = {normalized.rsplit('/', 1)[-1] for _, normalized in unresolved}
rel_matches = {}
basename_matches = {}
for folder_type, path_idx, base_dir in roots:
for root, _, files in os.walk(base_dir):
for filename in files:
if not filename.lower().endswith(('.safetensors', '.ckpt', '.pt', '.bin', '.sft')):
continue
rel_path = os.path.relpath(os.path.join(root, filename), base_dir).replace(os.sep, '/').lower()
basename = filename.lower()
if rel_path not in wanted_relpaths and basename not in wanted_basenames:
continue
candidate_info = _model_info_for_path(
folder_type,
path_idx,
base_dir,
os.path.join(root, filename),
)
if rel_path in wanted_relpaths:
rel_matches[rel_path] = candidate_info
if basename in wanted_basenames:
basename_matches[basename] = candidate_info
model_info = dict(exact_results)
for original, normalized in unresolved:
if normalized in rel_matches:
model_info[original] = rel_matches[normalized]
else:
basename = normalized.rsplit('/', 1)[-1]
if basename in basename_matches:
model_info[original] = basename_matches[basename]
return model_info
def _resolve_paths_to_previews_sync(paths, folder_types=None):
model_info = _resolve_paths_to_model_info_sync(paths, folder_types)
return {path: item.get("preview_url", "") for path, item in model_info.items()}
async def api_resolve_paths_to_previews(request):
try:
data = await request.json()
paths = data.get('paths', [])
folder_types = data.get('folder_types')
context_requests = data.get('context_requests', [])
except:
return web.json_response({"previews": {}, "models": {}, "context_models": {}})
model_info = await asyncio.to_thread(_resolve_paths_to_model_info_sync, paths, folder_types)
context_models = {}
if isinstance(context_requests, list):
for item in context_requests[:16]:
if not isinstance(item, dict):
continue
context_path = item.get('path')
if not isinstance(context_path, str) or not context_path:
continue
resolved = await asyncio.to_thread(
_resolve_paths_to_model_info_sync,
[context_path],
item.get('folder_types'),
)
if context_path in resolved:
context_models[context_path] = resolved[context_path]
previews = {path: item.get("preview_url", "") for path, item in model_info.items()}
return web.json_response({
"previews": previews,
"models": model_info,
"context_models": context_models,
})
def _collect_all_scan_models(page, limit):
target_types = get_active_folder_types()
all_tuples = []
seen_dirs = set()
for t in target_types:
try:
paths = folder_paths.get_folder_paths(t)
except Exception:
continue
if not paths: continue
for path_idx, base_dir in enumerate(paths):
if base_dir in seen_dirs: continue
seen_dirs.add(base_dir)
if not os.path.exists(base_dir): continue
for root, dirs, files in os.walk(base_dir):
for f in files:
if f.endswith(('.safetensors', '.ckpt', '.pt', '.bin', '.sft')):
all_tuples.append((t, path_idx, root, base_dir, f))
all_tuples.sort(key=lambda x: (x[0], x[4].lower()))
total = len(all_tuples)
if limit > 0:
start = (page - 1) * limit
end = start + limit
sliced = all_tuples[start:end]
else:
sliced = all_tuples
all_models = []
for t, path_idx, root, base_dir, f in sliced:
file_path = os.path.join(root, f)
rel_subfolder = os.path.relpath(root, base_dir)
if rel_subfolder == '.': rel_subfolder = ''
else: rel_subfolder = rel_subfolder.replace('\\', '/')
try:
size_bytes = os.path.getsize(file_path)
size_mb = round(size_bytes / (1024 * 1024), 2)
except:
size_bytes = 0; size_mb = 0
meta = get_metadata(file_path)
base_name = os.path.splitext(f)[0]
preview_file = None
for ext in PREVIEW_SUFFIXES + MEDIA_EXTENSIONS:
if os.path.exists(os.path.join(root, base_name + ext)):
preview_file = base_name + ext
break
preview_url = ""
if preview_file:
q_type = urllib.parse.quote(t)
q_idx = str(path_idx)
q_sub = urllib.parse.quote(rel_subfolder.strip('/')) if rel_subfolder and rel_subfolder != '/' else ""
q_file = urllib.parse.quote(preview_file)
mtime = _cache_token(os.path.join(root, preview_file))
preview_url = f"/anomalous/image?type={q_type}&path_idx={q_idx}&subfolder={q_sub}&filename={q_file}&t={mtime}"
all_models.append({
"type": t, "path_idx": path_idx, "subfolder": rel_subfolder,
"filename": f, "size_mb": size_mb, "size_bytes": size_bytes,
"preview_url": preview_url, "metadata": meta
})
return {"models": all_models, "total": total, "page": page, "limit": limit}
async def api_get_all_scan_models(request):
page = int(request.query.get('page', 1))
limit = int(request.query.get('limit', 0))
payload = await asyncio.to_thread(_collect_all_scan_models, page, limit)
return web.json_response(payload)
async def api_batch_select(request):
folder_key = request.query.get('folderKey', 'ALL')
action = request.query.get('action', 'all')
def matches_condition(file_path, root, base_name):
if action == 'all':
return True
elif action == 'no_preview':
for ext in PREVIEW_SUFFIXES + MEDIA_EXTENSIONS:
if os.path.exists(os.path.join(root, base_name + ext)):
return False
return True
elif action == 'no_desc':
info_file = file_path + '.info'
civitai_info = os.path.join(root, base_name + '.civitai.info')
if os.path.exists(civitai_info):
try:
with open(civitai_info, 'r', encoding='utf-8') as f:
data = json.load(f)
if data.get('description', '').strip():
return False
except: pass
if os.path.exists(info_file):
try:
with open(info_file, 'r', encoding='utf-8') as f:
data = json.load(f)
if data.get('description', '').strip():
return False
except: pass
return True
return False
results = {}
if folder_key == 'ALL':
target_types = get_active_folder_types()
seen_dirs = set()
for t in target_types:
try: paths = folder_paths.get_folder_paths(t)
except Exception: continue
if not paths: continue
for path_idx, base_dir in enumerate(paths):
if base_dir in seen_dirs: continue
seen_dirs.add(base_dir)
if not os.path.exists(base_dir): continue
for root, dirs, files in os.walk(base_dir):
for f in files:
if f.endswith(('.safetensors', '.ckpt', '.pt', '.bin', '.sft')):
file_path = os.path.join(root, f)
base_name = os.path.splitext(f)[0]
if matches_condition(file_path, root, base_name):
rel_subfolder = os.path.relpath(root, base_dir)
if rel_subfolder == '.': rel_subfolder = ''
else: rel_subfolder = rel_subfolder.replace('\\', '/')
fkey = f"{t}|{path_idx}|{rel_subfolder}"
if fkey not in results: results[fkey] = []
results[fkey].append(f)
else:
parts = folder_key.split('|')
if len(parts) >= 3:
t = parts[0]
path_idx = int(parts[1])
subfolder = parts[2]
try: paths = folder_paths.get_folder_paths(t)
except Exception: paths = []
if paths and path_idx < len(paths):
try:
base_dir, target_dir = resolve_folder_subdir(t, path_idx, subfolder)
except ValueError:
return web.json_response({"selected": {}})
if os.path.exists(target_dir):
try: entries = os.listdir(target_dir)
except: entries = []
for f in entries:
if f.endswith(('.safetensors', '.ckpt', '.pt', '.bin', '.sft')):
file_path = os.path.join(target_dir, f)
if os.path.isfile(file_path):
base_name = os.path.splitext(f)[0]
if matches_condition(file_path, target_dir, base_name):
if folder_key not in results: results[folder_key] = []
results[folder_key].append(f)
return web.json_response({"selected": results})
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