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Author SHA1 Message Date
Robin Huang
982a60e85f Add linux form factor. 2025-03-11 11:32:53 -07:00
31 changed files with 8731 additions and 31578 deletions

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@@ -7,19 +7,15 @@ on:
paths: paths:
- "pyproject.toml" - "pyproject.toml"
permissions:
issues: write
jobs: jobs:
publish-node: publish-node:
name: Publish Custom Node to registry name: Publish Custom Node to registry
runs-on: ubuntu-latest runs-on: ubuntu-latest
if: ${{ github.repository_owner == 'ltdrdata' }}
steps: steps:
- name: Check out code - name: Check out code
uses: actions/checkout@v4 uses: actions/checkout@v4
- name: Publish Custom Node - name: Publish Custom Node
uses: Comfy-Org/publish-node-action@v1 uses: Comfy-Org/publish-node-action@main
with: with:
## Add your own personal access token to your Github Repository secrets and reference it here. ## Add your own personal access token to your Github Repository secrets and reference it here.
personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }} personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

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@@ -314,6 +314,9 @@ The following settings are applied based on the section marked as `is_default`.
* Use `aria2` as downloader * Use `aria2` as downloader
* [howto](docs/en/use_aria2.md) * [howto](docs/en/use_aria2.md)
* If you add the item `skip_migration_check = True` to `config.ini`, it will not check whether there are nodes that can be migrated at startup.
* This option can be used if performance issues occur in a Colab+GDrive environment.
## Environment Variables ## Environment Variables

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@@ -1,7 +1,3 @@
"""
This file is the entry point for the ComfyUI-Manager package, handling CLI-only mode and initial setup.
"""
import os import os
import sys import sys

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@@ -43,13 +43,9 @@ import cnr_utils
comfyui_manager_path = os.path.abspath(os.path.dirname(__file__)) comfyui_manager_path = os.path.abspath(os.path.dirname(__file__))
cm_global.pip_blacklist = {'torch', 'torchaudio', 'torchsde', 'torchvision'} cm_global.pip_blacklist = {'torch', 'torchsde', 'torchvision'}
cm_global.pip_downgrade_blacklist = ['torch', 'torchaudio', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia'] cm_global.pip_downgrade_blacklist = ['torch', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia']
if sys.version_info < (3, 13):
cm_global.pip_overrides = {'numpy': 'numpy<2'} cm_global.pip_overrides = {'numpy': 'numpy<2'}
else:
cm_global.pip_overrides = {}
if os.path.exists(os.path.join(manager_util.comfyui_manager_path, "pip_overrides.json")): if os.path.exists(os.path.join(manager_util.comfyui_manager_path, "pip_overrides.json")):
with open(os.path.join(manager_util.comfyui_manager_path, "pip_overrides.json"), 'r', encoding="UTF-8", errors="ignore") as json_file: with open(os.path.join(manager_util.comfyui_manager_path, "pip_overrides.json"), 'r', encoding="UTF-8", errors="ignore") as json_file:
@@ -151,8 +147,6 @@ class Ctx:
if os.path.exists(core.manager_pip_overrides_path): if os.path.exists(core.manager_pip_overrides_path):
with open(core.manager_pip_overrides_path, 'r', encoding="UTF-8", errors="ignore") as json_file: with open(core.manager_pip_overrides_path, 'r', encoding="UTF-8", errors="ignore") as json_file:
cm_global.pip_overrides = json.load(json_file) cm_global.pip_overrides = json.load(json_file)
if sys.version_info < (3, 13):
cm_global.pip_overrides = {'numpy': 'numpy<2'} cm_global.pip_overrides = {'numpy': 'numpy<2'}
if os.path.exists(core.manager_pip_blacklist_path): if os.path.exists(core.manager_pip_blacklist_path):
@@ -190,18 +184,13 @@ class Ctx:
cmd_ctx = Ctx() cmd_ctx = Ctx()
def install_node(node_spec_str, is_all=False, cnt_msg='', **kwargs): def install_node(node_spec_str, is_all=False, cnt_msg=''):
exit_on_fail = kwargs.get('exit_on_fail', False)
print(f"install_node exit on fail:{exit_on_fail}...")
if core.is_valid_url(node_spec_str): if core.is_valid_url(node_spec_str):
# install via urls # install via urls
res = asyncio.run(core.gitclone_install(node_spec_str, no_deps=cmd_ctx.no_deps)) res = asyncio.run(core.gitclone_install(node_spec_str, no_deps=cmd_ctx.no_deps))
if not res.result: if not res.result:
print(res.msg) print(res.msg)
print(f"[bold red]ERROR: An error occurred while installing '{node_spec_str}'.[/bold red]") print(f"[bold red]ERROR: An error occurred while installing '{node_spec_str}'.[/bold red]")
if exit_on_fail:
sys.exit(1)
else: else:
print(f"{cnt_msg} [INSTALLED] {node_spec_str:50}") print(f"{cnt_msg} [INSTALLED] {node_spec_str:50}")
else: else:
@@ -236,8 +225,6 @@ def install_node(node_spec_str, is_all=False, cnt_msg='', **kwargs):
print("") print("")
else: else:
print(f"[bold red]ERROR: An error occurred while installing '{node_name}'.\n{res.msg}[/bold red]") print(f"[bold red]ERROR: An error occurred while installing '{node_name}'.\n{res.msg}[/bold red]")
if exit_on_fail:
sys.exit(1)
def reinstall_node(node_spec_str, is_all=False, cnt_msg=''): def reinstall_node(node_spec_str, is_all=False, cnt_msg=''):
@@ -599,7 +586,7 @@ def get_all_installed_node_specs():
return res return res
def for_each_nodes(nodes, act, allow_all=True, **kwargs): def for_each_nodes(nodes, act, allow_all=True):
is_all = False is_all = False
if allow_all and 'all' in nodes: if allow_all and 'all' in nodes:
is_all = True is_all = True
@@ -611,7 +598,7 @@ def for_each_nodes(nodes, act, allow_all=True, **kwargs):
i = 1 i = 1
for x in nodes: for x in nodes:
try: try:
act(x, is_all=is_all, cnt_msg=f'{i}/{total}', **kwargs) act(x, is_all=is_all, cnt_msg=f'{i}/{total}')
except Exception as e: except Exception as e:
print(f"ERROR: {e}") print(f"ERROR: {e}")
traceback.print_exc() traceback.print_exc()
@@ -655,17 +642,13 @@ def install(
None, None,
help="user directory" help="user directory"
), ),
exit_on_fail: bool = typer.Option(
False,
help="Exit on failure"
)
): ):
cmd_ctx.set_user_directory(user_directory) cmd_ctx.set_user_directory(user_directory)
cmd_ctx.set_channel_mode(channel, mode) cmd_ctx.set_channel_mode(channel, mode)
cmd_ctx.set_no_deps(no_deps) cmd_ctx.set_no_deps(no_deps)
pip_fixer = manager_util.PIPFixer(manager_util.get_installed_packages(), comfy_path, core.manager_files_path) pip_fixer = manager_util.PIPFixer(manager_util.get_installed_packages(), comfy_path, core.manager_files_path)
for_each_nodes(nodes, act=install_node, exit_on_fail=exit_on_fail) for_each_nodes(nodes, act=install_node)
pip_fixer.fix_broken() pip_fixer.fix_broken()
@@ -1064,13 +1047,15 @@ def save_snapshot(
): ):
cmd_ctx.set_user_directory(user_directory) cmd_ctx.set_user_directory(user_directory)
if output is not None: if output is None:
print("[bold red]ERROR: missing output path[/bold red]")
raise typer.Exit(code=1)
if(not output.endswith('.json') and not output.endswith('.yaml')): if(not output.endswith('.json') and not output.endswith('.yaml')):
print("[bold red]ERROR: output path should be either '.json' or '.yaml' file.[/bold red]") print("[bold red]ERROR: output path should be either '.json' or '.yaml' file.[/bold red]")
raise typer.Exit(code=1) raise typer.Exit(code=1)
dir_path = os.path.dirname(output) dir_path = os.path.dirname(output)
if(dir_path != '' and not os.path.exists(dir_path)): if(dir_path != '' and not os.path.exists(dir_path)):
print(f"[bold red]ERROR: {output} path not exists.[/bold red]") print(f"[bold red]ERROR: {output} path not exists.[/bold red]")
raise typer.Exit(code=1) raise typer.Exit(code=1)
@@ -1286,6 +1271,20 @@ def export_custom_node_ids(
print(f"{x['id']}@unknown", file=output_file) print(f"{x['id']}@unknown", file=output_file)
@app.command(
"migrate",
help="Migrate legacy node system to new node system",
)
def migrate(
user_directory: str = typer.Option(
None,
help="user directory"
)
):
cmd_ctx.set_user_directory(user_directory)
asyncio.run(unified_manager.migrate_unmanaged_nodes())
if __name__ == '__main__': if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(app()) sys.exit(app())

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@@ -43,7 +43,7 @@ import manager_downloader
from node_package import InstalledNodePackage from node_package import InstalledNodePackage
version_code = [3, 32, 3] version_code = [3, 30, 3]
version_str = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '') version_str = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
@@ -53,11 +53,6 @@ DEFAULT_CHANNEL = "https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/ma
default_custom_nodes_path = None default_custom_nodes_path = None
class InvalidChannel(Exception):
def __init__(self, channel):
self.channel = channel
super().__init__(channel)
def get_default_custom_nodes_path(): def get_default_custom_nodes_path():
global default_custom_nodes_path global default_custom_nodes_path
if default_custom_nodes_path is None: if default_custom_nodes_path is None:
@@ -256,7 +251,6 @@ comfy_ui_revision = "Unknown"
comfy_ui_commit_datetime = datetime(1900, 1, 1, 0, 0, 0) comfy_ui_commit_datetime = datetime(1900, 1, 1, 0, 0, 0)
channel_dict = None channel_dict = None
valid_channels = {'default', 'local'}
channel_list = None channel_list = None
@@ -361,7 +355,7 @@ def normalize_channel(channel):
if channel_url: if channel_url:
return channel_url return channel_url
raise InvalidChannel(channel) raise Exception(f"Invalid channel name '{channel}'")
class ManagedResult: class ManagedResult:
@@ -768,9 +762,6 @@ class UnifiedManager:
@staticmethod @staticmethod
async def load_nightly(channel, mode): async def load_nightly(channel, mode):
if channel is None:
return {}
res = {} res = {}
channel_url = normalize_channel(channel) channel_url = normalize_channel(channel)
@@ -779,11 +770,6 @@ class UnifiedManager:
print(f"[bold red]ERROR: Invalid mode is specified `--mode {mode}`[/bold red]", file=sys.stderr) print(f"[bold red]ERROR: Invalid mode is specified `--mode {mode}`[/bold red]", file=sys.stderr)
return {} return {}
# validate channel - only the channel set by the user is allowed.
if channel_url not in valid_channels:
logging.error(f'[ComfyUI-Manager] An invalid channel was used: {channel_url}')
raise InvalidChannel(channel_url)
json_obj = await get_data_by_mode(mode, 'custom-node-list.json', channel_url=channel_url) json_obj = await get_data_by_mode(mode, 'custom-node-list.json', channel_url=channel_url)
for x in json_obj['custom_nodes']: for x in json_obj['custom_nodes']:
try: try:
@@ -801,9 +787,8 @@ class UnifiedManager:
return res return res
async def get_custom_nodes(self, channel, mode): async def get_custom_nodes(self, channel, mode):
if channel is None and mode is None: # default_channel = normalize_channel('default')
channel = 'default' # cache = self.custom_node_map_cache.get((default_channel, mode)) # CNR/nightly should always be based on the default channel.
mode = 'cache'
channel = normalize_channel(channel) channel = normalize_channel(channel)
cache = self.custom_node_map_cache.get((channel, mode)) # CNR/nightly should always be based on the default channel. cache = self.custom_node_map_cache.get((channel, mode)) # CNR/nightly should always be based on the default channel.
@@ -812,6 +797,7 @@ class UnifiedManager:
return cache return cache
channel = normalize_channel(channel) channel = normalize_channel(channel)
print(f"nightly_channel: {channel}/{mode}")
nodes = await self.load_nightly(channel, mode) nodes = await self.load_nightly(channel, mode)
res = {} res = {}
@@ -855,7 +841,6 @@ class UnifiedManager:
install_script_path = os.path.join(repo_path, "install.py") install_script_path = os.path.join(repo_path, "install.py")
requirements_path = os.path.join(repo_path, "requirements.txt") requirements_path = os.path.join(repo_path, "requirements.txt")
res = True
if lazy_mode: if lazy_mode:
install_cmd = ["#LAZY-INSTALL-SCRIPT", sys.executable] install_cmd = ["#LAZY-INSTALL-SCRIPT", sys.executable]
return try_install_script(url, repo_path, install_cmd) return try_install_script(url, repo_path, install_cmd)
@@ -863,25 +848,26 @@ class UnifiedManager:
if os.path.exists(requirements_path) and not no_deps: if os.path.exists(requirements_path) and not no_deps:
print("Install: pip packages") print("Install: pip packages")
pip_fixer = manager_util.PIPFixer(manager_util.get_installed_packages(), comfy_path, manager_files_path) pip_fixer = manager_util.PIPFixer(manager_util.get_installed_packages(), comfy_path, manager_files_path)
res = True
lines = manager_util.robust_readlines(requirements_path) lines = manager_util.robust_readlines(requirements_path)
for line in lines: for line in lines:
package_name = remap_pip_package(line.strip()) package_name = remap_pip_package(line.strip())
if package_name and not package_name.startswith('#') and package_name not in self.processed_install: if package_name and not package_name.startswith('#') and package_name not in self.processed_install:
self.processed_install.add(package_name) self.processed_install.add(package_name)
clean_package_name = package_name.split('#')[0].strip() install_cmd = manager_util.make_pip_cmd(["install", package_name])
install_cmd = manager_util.make_pip_cmd(["install", clean_package_name]) if package_name.strip() != "" and not package_name.startswith('#'):
if clean_package_name != "" and not clean_package_name.startswith('#'):
res = res and try_install_script(url, repo_path, install_cmd, instant_execution=instant_execution) res = res and try_install_script(url, repo_path, install_cmd, instant_execution=instant_execution)
pip_fixer.fix_broken() pip_fixer.fix_broken()
return res
if os.path.exists(install_script_path) and install_script_path not in self.processed_install: if os.path.exists(install_script_path) and install_script_path not in self.processed_install:
self.processed_install.add(install_script_path) self.processed_install.add(install_script_path)
print("Install: install script") print("Install: install script")
install_cmd = [sys.executable, "install.py"] install_cmd = [sys.executable, "install.py"]
return res and try_install_script(url, repo_path, install_cmd, instant_execution=instant_execution) return try_install_script(url, repo_path, install_cmd, instant_execution=instant_execution)
return res return True
def reserve_cnr_switch(self, target, zip_url, from_path, to_path, no_deps): def reserve_cnr_switch(self, target, zip_url, from_path, to_path, no_deps):
script_path = os.path.join(manager_startup_script_path, "install-scripts.txt") script_path = os.path.join(manager_startup_script_path, "install-scripts.txt")
@@ -893,6 +879,14 @@ class UnifiedManager:
return True return True
def reserve_migration(self, moves):
script_path = os.path.join(manager_startup_script_path, "install-scripts.txt")
with open(script_path, "a") as file:
obj = ["", "#LAZY-MIGRATION", moves]
file.write(f"{obj}\n")
return True
def unified_fix(self, node_id, version_spec, instant_execution=False, no_deps=False): def unified_fix(self, node_id, version_spec, instant_execution=False, no_deps=False):
""" """
fix dependencies fix dependencies
@@ -1321,7 +1315,8 @@ class UnifiedManager:
return result.fail(f'Path not found: {repo_path}') return result.fail(f'Path not found: {repo_path}')
# version check # version check
with git.Repo(repo_path) as repo: repo = git.Repo(repo_path)
if repo.head.is_detached: if repo.head.is_detached:
if not switch_to_default_branch(repo): if not switch_to_default_branch(repo):
return result.fail(f"Failed to switch to default branch: {repo_path}") return result.fail(f"Failed to switch to default branch: {repo_path}")
@@ -1420,11 +1415,7 @@ class UnifiedManager:
version_spec = self.resolve_unspecified_version(node_id) version_spec = self.resolve_unspecified_version(node_id)
if version_spec == 'unknown' or version_spec == 'nightly': if version_spec == 'unknown' or version_spec == 'nightly':
try:
custom_nodes = await self.get_custom_nodes(channel, mode) custom_nodes = await self.get_custom_nodes(channel, mode)
except InvalidChannel as e:
return ManagedResult('fail').fail(f'Invalid channel is used: {e.channel}')
the_node = custom_nodes.get(node_id) the_node = custom_nodes.get(node_id)
if the_node is not None: if the_node is not None:
if version_spec == 'unknown': if version_spec == 'unknown':
@@ -1482,6 +1473,28 @@ class UnifiedManager:
return res return res
async def migrate_unmanaged_nodes(self):
"""
fix path for nightly and unknown nodes of unmanaged nodes
"""
await self.reload('cache')
await self.get_custom_nodes('default', 'cache')
print("Migration: STAGE 1")
moves = []
# migrate nightly inactive
for x, v in self.nightly_inactive_nodes.items():
if v.endswith('@nightly'):
continue
new_path = os.path.join(get_default_custom_nodes_path(), '.disabled', f"{x}@nightly")
moves.append((v, new_path))
self.reserve_migration(moves)
print("DONE (Migration reserved)")
unified_manager = UnifiedManager() unified_manager = UnifiedManager()
@@ -1551,14 +1564,8 @@ def get_installed_node_packs():
return res return res
def refresh_channel_dict():
if channel_dict is None:
get_channel_dict()
def get_channel_dict(): def get_channel_dict():
global channel_dict global channel_dict
global valid_channels
if channel_dict is None: if channel_dict is None:
channel_dict = {} channel_dict = {}
@@ -1572,7 +1579,6 @@ def get_channel_dict():
channel_info = x.split("::") channel_info = x.split("::")
if len(channel_info) == 2: if len(channel_info) == 2:
channel_dict[channel_info[0]] = channel_info[1] channel_dict[channel_info[0]] = channel_info[1]
valid_channels.add(channel_info[1])
return channel_dict return channel_dict
@@ -1625,6 +1631,7 @@ def write_config():
'model_download_by_agent': get_config()['model_download_by_agent'], 'model_download_by_agent': get_config()['model_download_by_agent'],
'downgrade_blacklist': get_config()['downgrade_blacklist'], 'downgrade_blacklist': get_config()['downgrade_blacklist'],
'security_level': get_config()['security_level'], 'security_level': get_config()['security_level'],
'skip_migration_check': get_config()['skip_migration_check'],
'always_lazy_install': get_config()['always_lazy_install'], 'always_lazy_install': get_config()['always_lazy_install'],
'network_mode': get_config()['network_mode'], 'network_mode': get_config()['network_mode'],
'db_mode': get_config()['db_mode'], 'db_mode': get_config()['db_mode'],
@@ -1663,6 +1670,7 @@ def read_config():
'windows_selector_event_loop_policy': get_bool('windows_selector_event_loop_policy', False), 'windows_selector_event_loop_policy': get_bool('windows_selector_event_loop_policy', False),
'model_download_by_agent': get_bool('model_download_by_agent', False), 'model_download_by_agent': get_bool('model_download_by_agent', False),
'downgrade_blacklist': default_conf.get('downgrade_blacklist', '').lower(), 'downgrade_blacklist': default_conf.get('downgrade_blacklist', '').lower(),
'skip_migration_check': get_bool('skip_migration_check', False),
'always_lazy_install': get_bool('always_lazy_install', False), 'always_lazy_install': get_bool('always_lazy_install', False),
'network_mode': default_conf.get('network_mode', 'public').lower(), 'network_mode': default_conf.get('network_mode', 'public').lower(),
'security_level': default_conf.get('security_level', 'normal').lower(), 'security_level': default_conf.get('security_level', 'normal').lower(),
@@ -1686,6 +1694,7 @@ def read_config():
'windows_selector_event_loop_policy': False, 'windows_selector_event_loop_policy': False,
'model_download_by_agent': False, 'model_download_by_agent': False,
'downgrade_blacklist': '', 'downgrade_blacklist': '',
'skip_migration_check': False,
'always_lazy_install': False, 'always_lazy_install': False,
'network_mode': 'public', # public | private | offline 'network_mode': 'public', # public | private | offline
'security_level': 'normal', # strong | normal | normal- | weak 'security_level': 'normal', # strong | normal | normal- | weak
@@ -2073,13 +2082,6 @@ def is_valid_url(url):
return False return False
def extract_url_and_commit_id(s):
index = s.rfind('@')
if index == -1:
return (s, '')
else:
return (s[:index], s[index+1:])
async def gitclone_install(url, instant_execution=False, msg_prefix='', no_deps=False): async def gitclone_install(url, instant_execution=False, msg_prefix='', no_deps=False):
await unified_manager.reload('cache') await unified_manager.reload('cache')
await unified_manager.get_custom_nodes('default', 'cache') await unified_manager.get_custom_nodes('default', 'cache')
@@ -2097,11 +2099,8 @@ async def gitclone_install(url, instant_execution=False, msg_prefix='', no_deps=
cnr = unified_manager.get_cnr_by_repo(url) cnr = unified_manager.get_cnr_by_repo(url)
if cnr: if cnr:
cnr_id = cnr['id'] cnr_id = cnr['id']
return await unified_manager.install_by_id(cnr_id, version_spec=None, channel='default', mode='cache') return await unified_manager.install_by_id(cnr_id, version_spec='nightly')
else: else:
new_url, commit_id = extract_url_and_commit_id(url)
if commit_id != "":
url = new_url
repo_name = os.path.splitext(os.path.basename(url))[0] repo_name = os.path.splitext(os.path.basename(url))[0]
# NOTE: Keep original name as possible if unknown node # NOTE: Keep original name as possible if unknown node
@@ -2134,10 +2133,6 @@ async def gitclone_install(url, instant_execution=False, msg_prefix='', no_deps=
return result.fail(f"Failed to clone '{clone_url}' into '{repo_path}'") return result.fail(f"Failed to clone '{clone_url}' into '{repo_path}'")
else: else:
repo = git.Repo.clone_from(clone_url, repo_path, recursive=True, progress=GitProgress()) repo = git.Repo.clone_from(clone_url, repo_path, recursive=True, progress=GitProgress())
if commit_id!= "":
repo.git.checkout(commit_id)
repo.git.submodule('update', '--init', '--recursive')
repo.git.clear_cache() repo.git.clear_cache()
repo.close() repo.close()
@@ -2654,8 +2649,22 @@ async def get_current_snapshot(custom_nodes_only = False):
cnr_custom_nodes[info['id']] = info['ver'] cnr_custom_nodes[info['id']] = info['ver']
else: else:
commit_hash = git_utils.get_commit_hash(fullpath) repo = git.Repo(fullpath)
url = git_utils.git_url(fullpath)
if repo.head.is_detached:
remote_name = get_remote_name(repo)
else:
current_branch = repo.active_branch
if current_branch.tracking_branch() is None:
remote_name = get_remote_name(repo)
else:
remote_name = current_branch.tracking_branch().remote_name
commit_hash = repo.head.commit.hexsha
url = repo.remotes[remote_name].url
git_custom_nodes[url] = dict(hash=commit_hash, disabled=is_disabled) git_custom_nodes[url] = dict(hash=commit_hash, disabled=is_disabled)
except: except:
print(f"Failed to extract snapshots for the custom node '{path}'.") print(f"Failed to extract snapshots for the custom node '{path}'.")
@@ -3018,9 +3027,6 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
enabled_repos = [] enabled_repos = []
disabled_repos = [] disabled_repos = []
skip_node_packs = [] skip_node_packs = []
switched_node_packs = []
installed_node_packs = []
failed = []
await unified_manager.reload('cache') await unified_manager.reload('cache')
await unified_manager.get_custom_nodes('default', 'cache') await unified_manager.get_custom_nodes('default', 'cache')
@@ -3066,13 +3072,8 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
disabled_repos.append(x) disabled_repos.append(x)
for x in todo_checkout: for x in todo_checkout:
ps = unified_manager.cnr_switch_version(x[0], x[1], instant_execution=True, no_deps=True, return_postinstall=False) unified_manager.cnr_switch_version(x[0], x[1], instant_execution=True, no_deps=True, return_postinstall=False)
if ps.action == 'switch-cnr' and ps.result: checkout_repos.append(x[1])
switched_node_packs.append(f"{x[0]}@{x[1]}")
elif ps.action == 'skip':
skip_node_packs.append(f"{x[0]}@{x[1]}")
elif not ps.result:
failed.append(f"{x[0]}@{x[1]}")
# install listed cnr nodes # install listed cnr nodes
for k, v in cnr_info.items(): for k, v in cnr_info.items():
@@ -3080,9 +3081,7 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
continue continue
ps = await unified_manager.install_by_id(k, version_spec=v, instant_execution=True, return_postinstall=True) ps = await unified_manager.install_by_id(k, version_spec=v, instant_execution=True, return_postinstall=True)
if ps.action == 'install-cnr' and ps.result: cloned_repos.append(k)
installed_node_packs.append(f"{k}@{v}")
if ps is not None and ps.result: if ps is not None and ps.result:
if hasattr(ps, 'postinstall'): if hasattr(ps, 'postinstall'):
postinstalls.append(ps.postinstall) postinstalls.append(ps.postinstall)
@@ -3140,41 +3139,40 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
disabled_repos.append(x) disabled_repos.append(x)
for x in todo_enable: for x in todo_enable:
res = unified_manager.unified_enable(x[0], 'nightly') res = unified_manager.unified_enable(x, 'nightly')
is_switched = False is_switched = False
if res and res.target: if res and res.target:
is_switched = repo_switch_commit(res.target, x[1]) is_switched = repo_switch_commit(res.target, x[1])
if is_switched: if is_switched:
checkout_repos.append(f"{x[0]}@{x[1]}") checkout_repos.append(x)
else: else:
enabled_repos.append(x[0]) enabled_repos.append(x)
for x in todo_checkout: for x in todo_checkout:
is_switched = repo_switch_commit(x[0], x[1]) is_switched = repo_switch_commit(x[0], x[1])
if is_switched: if is_switched:
checkout_repos.append(f"{x[0]}@{x[1]}") checkout_repos.append(x)
else:
skip_node_packs.append(x[0])
for x in git_info.keys(): for x in git_info.keys():
normalized_url = git_utils.normalize_url(x) normalized_url = git_utils.normalize_url(x)
cnr = unified_manager.repo_cnr_map.get(normalized_url) cnr = unified_manager.repo_cnr_map.get(normalized_url)
if cnr is not None: if cnr is not None:
pack_id = cnr['id'] pack_id = cnr['id']
res = await unified_manager.install_by_id(pack_id, 'nightly', instant_execution=True, no_deps=False, return_postinstall=False) await unified_manager.install_by_id(pack_id, 'nightly', instant_execution=True, no_deps=False, return_postinstall=False)
if res.action == 'install-git' and res.result:
cloned_repos.append(pack_id) cloned_repos.append(pack_id)
elif res.action == 'skip':
skip_node_packs.append(pack_id)
elif not res.result:
failed.append(pack_id)
processed_urls.append(x) processed_urls.append(x)
for x in processed_urls: for x in processed_urls:
if x in git_info: if x in git_info:
del git_info[x] del git_info[x]
# remained nightly will be installed and migrated
# for unknown restore # for unknown restore
todo_disable = [] todo_disable = []
todo_enable = [] todo_enable = []
@@ -3221,15 +3219,15 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
is_switched = repo_switch_commit(res.target, x[1]) is_switched = repo_switch_commit(res.target, x[1])
if is_switched: if is_switched:
checkout_repos.append(f"{x[0]}@{x[1]}") checkout_repos.append(x)
else: else:
enabled_repos.append(x[0]) enabled_repos.append(x)
for x in todo_checkout: for x in todo_checkout:
is_switched = repo_switch_commit(x[0], x[1]) is_switched = repo_switch_commit(x[0], x[1])
if is_switched: if is_switched:
checkout_repos.append(f"{x[0]}@{x[1]}") checkout_repos.append(x)
else: else:
skip_node_packs.append(x[0]) skip_node_packs.append(x[0])
@@ -3246,28 +3244,53 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
unified_manager.repo_install(repo_url, to_path, instant_execution=True, no_deps=False, return_postinstall=False) unified_manager.repo_install(repo_url, to_path, instant_execution=True, no_deps=False, return_postinstall=False)
cloned_repos.append(repo_name) cloned_repos.append(repo_name)
# reload
await unified_manager.migrate_unmanaged_nodes()
# print summary # print summary
for x in cloned_repos: for x in cloned_repos:
print(f"[ INSTALLED ] {x}") print(f"[ INSTALLED ] {x}")
for x in installed_node_packs:
print(f"[ INSTALLED ] {x}")
for x in checkout_repos: for x in checkout_repos:
print(f"[ CHECKOUT ] {x}") print(f"[ CHECKOUT ] {x}")
for x in switched_node_packs:
print(f"[ SWITCHED ] {x}")
for x in enabled_repos: for x in enabled_repos:
print(f"[ ENABLED ] {x}") print(f"[ ENABLED ] {x}")
for x in disabled_repos: for x in disabled_repos:
print(f"[ DISABLED ] {x}") print(f"[ DISABLED ] {x}")
for x in skip_node_packs: for x in skip_node_packs:
print(f"[ SKIPPED ] {x}") print(f"[ SKIPPED ] {x}")
for x in failed:
print(f"[ FAILED ] {x}")
# if is_failed: # if is_failed:
# print("[bold red]ERROR: Failed to restore snapshot.[/bold red]") # print("[bold red]ERROR: Failed to restore snapshot.[/bold red]")
# check need to migrate
need_to_migrate = False
async def check_need_to_migrate():
global need_to_migrate
await unified_manager.reload('cache')
await unified_manager.load_nightly(channel='default', mode='cache')
legacy_custom_nodes = []
for x in unified_manager.active_nodes.values():
if x[0] == 'nightly' and not x[1].endswith('@nightly'):
legacy_custom_nodes.append(x[1])
for x in unified_manager.nightly_inactive_nodes.values():
if not x.endswith('@nightly'):
legacy_custom_nodes.append(x)
if len(legacy_custom_nodes) > 0:
print("\n--------------------- ComfyUI-Manager migration notice --------------------")
print("The following custom nodes were installed using the old management method and require migration:\n")
print("\n".join(legacy_custom_nodes))
print("---------------------------------------------------------------------------\n")
need_to_migrate = True
def get_comfyui_versions(repo=None): def get_comfyui_versions(repo=None):
if repo is None: if repo is None:
repo = git.Repo(comfy_path) repo = git.Repo(comfy_path)

View File

@@ -279,17 +279,8 @@ def get_model_dir(data, show_log=False):
else: else:
models_base = folder_paths.models_dir models_base = folder_paths.models_dir
# NOTE: Validate to prevent path traversal.
if any(char in data['filename'] for char in {'/', '\\', ':'}):
return None
def resolve_custom_node(save_path): def resolve_custom_node(save_path):
save_path = save_path[13:] # remove 'custom_nodes/' save_path = save_path[13:] # remove 'custom_nodes/'
# NOTE: Validate to prevent path traversal.
if save_path.startswith(os.path.sep) or ':' in save_path:
return None
repo_name = save_path.replace('\\','/').split('/')[0] # get custom node repo name repo_name = save_path.replace('\\','/').split('/')[0] # get custom node repo name
# NOTE: The creation of files within the custom node path should be removed in the future. # NOTE: The creation of files within the custom node path should be removed in the future.
@@ -408,6 +399,7 @@ async def task_worker():
try: try:
node_spec = core.unified_manager.resolve_node_spec(node_spec_str) node_spec = core.unified_manager.resolve_node_spec(node_spec_str)
if node_spec is None: if node_spec is None:
logging.error(f"Cannot resolve install target: '{node_spec_str}'") logging.error(f"Cannot resolve install target: '{node_spec_str}'")
return f"Cannot resolve install target: '{node_spec_str}'" return f"Cannot resolve install target: '{node_spec_str}'"
@@ -937,7 +929,6 @@ def check_model_installed(json_obj):
@routes.get("/externalmodel/getlist") @routes.get("/externalmodel/getlist")
async def fetch_externalmodel_list(request): async def fetch_externalmodel_list(request):
# The model list is only allowed in the default channel, yet.
json_obj = await core.get_data_by_mode(request.rel_url.query["mode"], 'model-list.json') json_obj = await core.get_data_by_mode(request.rel_url.query["mode"], 'model-list.json')
check_model_installed(json_obj) check_model_installed(json_obj)
@@ -1206,8 +1197,9 @@ async def install_custom_node(request):
git_url = None git_url = None
if json_data['version'] != 'unknown':
selected_version = json_data.get('selected_version') selected_version = json_data.get('selected_version')
if json_data['version'] != 'unknown' and selected_version != 'unknown':
if skip_post_install: if skip_post_install:
if cnr_id in core.unified_manager.nightly_inactive_nodes or cnr_id in core.unified_manager.cnr_inactive_nodes: if cnr_id in core.unified_manager.nightly_inactive_nodes or cnr_id in core.unified_manager.cnr_inactive_nodes:
core.unified_manager.unified_enable(cnr_id) core.unified_manager.unified_enable(cnr_id)
@@ -1224,9 +1216,6 @@ async def install_custom_node(request):
if git_url is None: if git_url is None:
logging.error(f"[ComfyUI-Manager] Following node pack doesn't provide `nightly` version: ${git_url}") logging.error(f"[ComfyUI-Manager] Following node pack doesn't provide `nightly` version: ${git_url}")
return web.Response(status=404, text=f"Following node pack doesn't provide `nightly` version: ${git_url}") return web.Response(status=404, text=f"Following node pack doesn't provide `nightly` version: ${git_url}")
elif json_data['version'] != 'unknown' and selected_version == 'unknown':
logging.error(f"[ComfyUI-Manager] Invalid installation request: {json_data}")
return web.Response(status=400, text="Invalid installation request")
else: else:
# unknown # unknown
unknown_name = os.path.basename(json_data['files'][0]) unknown_name = os.path.basename(json_data['files'][0])
@@ -1418,20 +1407,17 @@ async def disable_node(request):
return web.Response(status=200) return web.Response(status=200)
async def check_whitelist_for_model(item): @routes.get("/manager/migrate_unmanaged_nodes")
json_obj = await core.get_data_by_mode('cache', 'model-list.json') async def migrate_unmanaged_nodes(request):
logging.info("[ComfyUI-Manager] Migrating unmanaged nodes...")
await core.unified_manager.migrate_unmanaged_nodes()
logging.info("Done.")
return web.Response(status=200)
for x in json_obj.get('models', []):
if x['save_path'] == item['save_path'] and x['base'] == item['base'] and x['filename'] == item['filename']:
return True
json_obj = await core.get_data_by_mode('local', 'model-list.json') @routes.get("/manager/need_to_migrate")
async def need_to_migrate(request):
for x in json_obj.get('models', []): return web.Response(text=str(core.need_to_migrate), status=200)
if x['save_path'] == item['save_path'] and x['base'] == item['base'] and x['filename'] == item['filename']:
return True
return False
@routes.post("/manager/queue/install_model") @routes.post("/manager/queue/install_model")
@@ -1442,11 +1428,6 @@ async def install_model(request):
logging.error(SECURITY_MESSAGE_MIDDLE_OR_BELOW) logging.error(SECURITY_MESSAGE_MIDDLE_OR_BELOW)
return web.Response(status=403, text="A security error has occurred. Please check the terminal logs") return web.Response(status=403, text="A security error has occurred. Please check the terminal logs")
# validate request
if not await check_whitelist_for_model(json_data):
logging.error(f"[ComfyUI-Manager] Invalid model install request is detected: {json_data}")
return web.Response(status=400, text="Invalid model install request is detected")
if not json_data['filename'].endswith('.safetensors') and not is_allowed_security_level('high'): if not json_data['filename'].endswith('.safetensors') and not is_allowed_security_level('high'):
models_json = await core.get_data_by_mode('cache', 'model-list.json', 'default') models_json = await core.get_data_by_mode('cache', 'model-list.json', 'default')
@@ -1714,7 +1695,6 @@ cm_global.register_api('cm.try-install-custom-node', confirm_try_install)
async def default_cache_update(): async def default_cache_update():
core.refresh_channel_dict()
channel_url = core.get_config()['channel_url'] channel_url = core.get_config()['channel_url']
async def get_cache(filename): async def get_cache(filename):
try: try:
@@ -1754,6 +1734,11 @@ async def default_cache_update():
logging.info("[ComfyUI-Manager] All startup tasks have been completed.") logging.info("[ComfyUI-Manager] All startup tasks have been completed.")
# NOTE: hide migration button temporarily.
# if not core.get_config()['skip_migration_check']:
# await core.check_need_to_migrate()
# else:
# logging.info("[ComfyUI-Manager] Migration check is skipped...")
threading.Thread(target=lambda: asyncio.run(default_cache_update())).start() threading.Thread(target=lambda: asyncio.run(default_cache_update())).start()

View File

@@ -15,7 +15,6 @@ import re
import logging import logging
import platform import platform
import shlex import shlex
import cm_global
cache_lock = threading.Lock() cache_lock = threading.Lock()
@@ -36,18 +35,12 @@ def add_python_path_to_env():
def make_pip_cmd(cmd): def make_pip_cmd(cmd):
if 'python_embeded' in sys.executable:
if use_uv:
return [sys.executable, '-s', '-m', 'uv', 'pip'] + cmd
else:
return [sys.executable, '-s', '-m', 'pip'] + cmd
else:
# FIXED: https://github.com/ltdrdata/ComfyUI-Manager/issues/1667
if use_uv: if use_uv:
return [sys.executable, '-m', 'uv', 'pip'] + cmd return [sys.executable, '-m', 'uv', 'pip'] + cmd
else: else:
return [sys.executable, '-m', 'pip'] + cmd return [sys.executable, '-m', 'pip'] + cmd
# DON'T USE StrictVersion - cannot handle pre_release version # DON'T USE StrictVersion - cannot handle pre_release version
# try: # try:
# from distutils.version import StrictVersion # from distutils.version import StrictVersion
@@ -257,7 +250,7 @@ def get_installed_packages(renew=False):
pip_map[normalized_name] = y[1] pip_map[normalized_name] = y[1]
except subprocess.CalledProcessError: except subprocess.CalledProcessError:
logging.error("[ComfyUI-Manager] Failed to retrieve the information of installed pip packages.") logging.error("[ComfyUI-Manager] Failed to retrieve the information of installed pip packages.")
return {} return set()
return pip_map return pip_map
@@ -308,7 +301,6 @@ def parse_requirement_line(line):
torch_torchvision_torchaudio_version_map = { torch_torchvision_torchaudio_version_map = {
'2.7.0': ('0.22.0', '2.7.0'),
'2.6.0': ('0.21.0', '2.6.0'), '2.6.0': ('0.21.0', '2.6.0'),
'2.5.1': ('0.20.0', '2.5.0'), '2.5.1': ('0.20.0', '2.5.0'),
'2.5.0': ('0.20.0', '2.5.0'), '2.5.0': ('0.20.0', '2.5.0'),
@@ -412,7 +404,6 @@ class PIPFixer:
if len(targets) > 0: if len(targets) > 0:
for x in targets: for x in targets:
if sys.version_info < (3, 13):
cmd = make_pip_cmd(['install', f"{x}=={versions[0].version_string}", "numpy<2"]) cmd = make_pip_cmd(['install', f"{x}=={versions[0].version_string}", "numpy<2"])
subprocess.check_output(cmd, universal_newlines=True) subprocess.check_output(cmd, universal_newlines=True)
@@ -422,12 +413,8 @@ class PIPFixer:
logging.error(e) logging.error(e)
# fix numpy # fix numpy
if sys.version_info >= (3, 13):
logging.info("[ComfyUI-Manager] In Python 3.13 and above, PIP Fixer does not downgrade `numpy` below version 2.0. If you need to force a downgrade of `numpy`, please use `pip_auto_fix.list`.")
else:
try: try:
np = new_pip_versions.get('numpy') np = new_pip_versions.get('numpy')
if cm_global.pip_overrides.get('numpy') == 'numpy<2':
if np is not None: if np is not None:
if StrictVersion(np) >= StrictVersion('2'): if StrictVersion(np) >= StrictVersion('2'):
cmd = make_pip_cmd(['install', "numpy<2"]) cmd = make_pip_cmd(['install', "numpy<2"])
@@ -452,11 +439,9 @@ class PIPFixer:
lines = file.readlines() lines = file.readlines()
front_line = next((line.strip() for line in lines if line.startswith('comfyui-frontend-package')), None) front_line = next((line.strip() for line in lines if line.startswith('comfyui-frontend-package')), None)
if front_line is None:
logging.info("[ComfyUI-Manager] Skipped fixing the 'comfyui-frontend-package' dependency because the ComfyUI is outdated.")
else:
cmd = make_pip_cmd(['install', front_line]) cmd = make_pip_cmd(['install', front_line])
subprocess.check_output(cmd , universal_newlines=True) subprocess.check_output(cmd , universal_newlines=True)
logging.info("[ComfyUI-Manager] 'comfyui-frontend-package' dependency were fixed") logging.info("[ComfyUI-Manager] 'comfyui-frontend-package' dependency were fixed")
except Exception as e: except Exception as e:
logging.error("[ComfyUI-Manager] Failed to restore comfyui-frontend-package") logging.error("[ComfyUI-Manager] Failed to restore comfyui-frontend-package")

View File

@@ -13,7 +13,7 @@ import {
import { OpenArtShareDialog } from "./comfyui-share-openart.js"; import { OpenArtShareDialog } from "./comfyui-share-openart.js";
import { import {
free_models, install_pip, install_via_git_url, manager_instance, free_models, install_pip, install_via_git_url, manager_instance,
rebootAPI, setManagerInstance, show_message, customAlert, customPrompt, rebootAPI, migrateAPI, setManagerInstance, show_message, customAlert, customPrompt,
infoToast, showTerminal, setNeedRestart infoToast, showTerminal, setNeedRestart
} from "./common.js"; } from "./common.js";
import { ComponentBuilderDialog, getPureName, load_components, set_component_policy } from "./components-manager.js"; import { ComponentBuilderDialog, getPureName, load_components, set_component_policy } from "./components-manager.js";
@@ -946,6 +946,28 @@ class ManagerMenuDialog extends ComfyDialog {
restart_stop_button, restart_stop_button,
]; ];
let migration_btn =
$el("button.cm-button-orange", {
type: "button",
textContent: "Migrate to New Node System",
onclick: () => migrateAPI()
});
migration_btn.style.display = 'none';
res.push(migration_btn);
api.fetchApi('/manager/need_to_migrate')
.then(response => response.text())
.then(text => {
if (text === 'True') {
migration_btn.style.display = 'block';
}
})
.catch(error => {
console.error('Error checking migration status:', error);
});
return res; return res;
} }

View File

@@ -1,7 +1,6 @@
import { app } from "../../scripts/app.js"; import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js"; import { api } from "../../scripts/api.js";
import { $el, ComfyDialog } from "../../scripts/ui.js"; import { $el, ComfyDialog } from "../../scripts/ui.js";
import { getBestPosition, getPositionStyle, getRect } from './popover-helper.js';
function internalCustomConfirm(message, confirmMessage, cancelMessage) { function internalCustomConfirm(message, confirmMessage, cancelMessage) {
@@ -182,6 +181,23 @@ export function rebootAPI() {
} }
export async function migrateAPI() {
let confirmed = await customConfirm("When performing a migration, existing installed custom nodes will be renamed and the server will be restarted. Are you sure you want to apply this?\n\n(If you don't perform the migration, ComfyUI-Manager's start-up time will be longer each time due to re-checking during startup.)")
if (confirmed) {
try {
await api.fetchApi("/manager/migrate_unmanaged_nodes");
api.fetchApi("/manager/reboot");
}
catch(exception) {
}
return true;
}
return false;
}
export var manager_instance = null; export var manager_instance = null;
export function setManagerInstance(obj) { export function setManagerInstance(obj) {
@@ -388,14 +404,12 @@ export async function fetchData(route, options) {
} }
} }
// https://cenfun.github.io/open-icons/
export const icons = { export const icons = {
search: '<svg viewBox="0 0 24 24" width="100%" height="100%" pointer-events="none" xmlns="http://www.w3.org/2000/svg"><path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="m21 21-4.486-4.494M19 10.5a8.5 8.5 0 1 1-17 0 8.5 8.5 0 0 1 17 0"/></svg>', search: '<svg viewBox="0 0 24 24" width="100%" height="100%" pointer-events="none" xmlns="http://www.w3.org/2000/svg"><path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="m21 21-4.486-4.494M19 10.5a8.5 8.5 0 1 1-17 0 8.5 8.5 0 0 1 17 0"/></svg>',
extensions: '<svg viewBox="64 64 896 896" width="100%" height="100%" pointer-events="none" xmlns="http://www.w3.org/2000/svg"><path fill="currentColor" d="M843.5 737.4c-12.4-75.2-79.2-129.1-155.3-125.4S550.9 676 546 752c-153.5-4.8-208-40.7-199.1-113.7 3.3-27.3 19.8-41.9 50.1-49 18.4-4.3 38.8-4.9 57.3-3.2 1.7.2 3.5.3 5.2.5 11.3 2.7 22.8 5 34.3 6.8 34.1 5.6 68.8 8.4 101.8 6.6 92.8-5 156-45.9 159.2-132.7 3.1-84.1-54.7-143.7-147.9-183.6-29.9-12.8-61.6-22.7-93.3-30.2-14.3-3.4-26.3-5.7-35.2-7.2-7.9-75.9-71.5-133.8-147.8-134.4S189.7 168 180.5 243.8s40 146.3 114.2 163.9 149.9-23.3 175.7-95.1c9.4 1.7 18.7 3.6 28 5.8 28.2 6.6 56.4 15.4 82.4 26.6 70.7 30.2 109.3 70.1 107.5 119.9-1.6 44.6-33.6 65.2-96.2 68.6-27.5 1.5-57.6-.9-87.3-5.8-8.3-1.4-15.9-2.8-22.6-4.3-3.9-.8-6.6-1.5-7.8-1.8l-3.1-.6c-2.2-.3-5.9-.8-10.7-1.3-25-2.3-52.1-1.5-78.5 4.6-55.2 12.9-93.9 47.2-101.1 105.8-15.7 126.2 78.6 184.7 276 188.9 29.1 70.4 106.4 107.9 179.6 87 73.3-20.9 119.3-93.4 106.9-168.6M329.1 345.2a83.3 83.3 0 1 1 .01-166.61 83.3 83.3 0 0 1-.01 166.61M695.6 845a83.3 83.3 0 1 1 .01-166.61A83.3 83.3 0 0 1 695.6 845"/></svg>',
conflicts: '<svg viewBox="0 0 400 400" width="100%" height="100%" pointer-events="none" xmlns="http://www.w3.org/2000/svg"><path fill="currentColor" d="m397.2 350.4.2-.2-180-320-.2.2C213.8 24.2 207.4 20 200 20s-13.8 4.2-17.2 10.4l-.2-.2-180 320 .2.2c-1.6 2.8-2.8 6-2.8 9.6 0 11 9 20 20 20h360c11 0 20-9 20-20 0-3.6-1.2-6.8-2.8-9.6M220 340h-40v-40h40zm0-60h-40V120h40z"/></svg>', conflicts: '<svg viewBox="0 0 400 400" width="100%" height="100%" pointer-events="none" xmlns="http://www.w3.org/2000/svg"><path fill="currentColor" d="m397.2 350.4.2-.2-180-320-.2.2C213.8 24.2 207.4 20 200 20s-13.8 4.2-17.2 10.4l-.2-.2-180 320 .2.2c-1.6 2.8-2.8 6-2.8 9.6 0 11 9 20 20 20h360c11 0 20-9 20-20 0-3.6-1.2-6.8-2.8-9.6M220 340h-40v-40h40zm0-60h-40V120h40z"/></svg>',
passed: '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 426.667 426.667"><path fill="#6AC259" d="M213.333,0C95.518,0,0,95.514,0,213.333s95.518,213.333,213.333,213.333c117.828,0,213.333-95.514,213.333-213.333S331.157,0,213.333,0z M174.199,322.918l-93.935-93.931l31.309-31.309l62.626,62.622l140.894-140.898l31.309,31.309L174.199,322.918z"/></svg>', passed: '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 426.667 426.667"><path fill="#6AC259" d="M213.333,0C95.518,0,0,95.514,0,213.333s95.518,213.333,213.333,213.333c117.828,0,213.333-95.514,213.333-213.333S331.157,0,213.333,0z M174.199,322.918l-93.935-93.931l31.309-31.309l62.626,62.622l140.894-140.898l31.309,31.309L174.199,322.918z"/></svg>',
download: '<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" width="100%" height="100%" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg>', download: '<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" width="100%" height="100%" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg>'
close: '<svg xmlns="http://www.w3.org/2000/svg" pointer-events="none" width="100%" height="100%" viewBox="0 0 16 16"><g fill="currentColor"><path fill-rule="evenodd" clip-rule="evenodd" d="m7.116 8-4.558 4.558.884.884L8 8.884l4.558 4.558.884-.884L8.884 8l4.558-4.558-.884-.884L8 7.116 3.442 2.558l-.884.884L7.116 8z"/></g></svg>',
arrowRight: '<svg xmlns="http://www.w3.org/2000/svg" pointer-events="none" width="100%" height="100%" viewBox="0 0 20 20"><path fill="currentColor" fill-rule="evenodd" d="m2.542 2.154 7.254 7.26c.136.14.204.302.204.483a.73.73 0 0 1-.204.5l-7.575 7.398c-.383.317-.724.317-1.022 0-.299-.317-.299-.643 0-.98l7.08-6.918-6.754-6.763c-.237-.343-.215-.654.066-.935.281-.28.598-.295.951-.045Zm9 0 7.254 7.26c.136.14.204.302.204.483a.73.73 0 0 1-.204.5l-7.575 7.398c-.383.317-.724.317-1.022 0-.299-.317-.299-.643 0-.98l7.08-6.918-6.754-6.763c-.237-.343-.215-.654.066-.935.281-.28.598-.295.951-.045Z"/></svg>'
} }
export function sanitizeHTML(str) { export function sanitizeHTML(str) {
@@ -489,166 +503,3 @@ export function restoreColumnWidth(gridId, columns) {
}); });
} }
export function getTimeAgo(dateStr) {
const date = new Date(dateStr);
if (!date || !(date instanceof Date) || isNaN(date.getTime())) {
return "";
}
const units = [
{ max: 2760000, value: 60000, name: 'minute', past: 'a minute ago', future: 'in a minute' },
{ max: 72000000, value: 3600000, name: 'hour', past: 'an hour ago', future: 'in an hour' },
{ max: 518400000, value: 86400000, name: 'day', past: 'yesterday', future: 'tomorrow' },
{ max: 2419200000, value: 604800000, name: 'week', past: 'last week', future: 'in a week' },
{ max: 28512000000, value: 2592000000, name: 'month', past: 'last month', future: 'in a month' }
];
const diff = Date.now() - date.getTime();
// less than a minute
if (Math.abs(diff) < 60000)
return 'just now';
for (let i = 0; i < units.length; i++) {
if (Math.abs(diff) < units[i].max) {
return format(diff, units[i].value, units[i].name, units[i].past, units[i].future, diff < 0);
}
}
function format(diff, divisor, unit, past, future, isInTheFuture) {
const val = Math.round(Math.abs(diff) / divisor);
if (isInTheFuture)
return val <= 1 ? future : 'in ' + val + ' ' + unit + 's';
return val <= 1 ? past : val + ' ' + unit + 's ago';
}
return format(diff, 31536000000, 'year', 'last year', 'in a year', diff < 0);
};
export const loadCss = (cssFile) => {
const cssPath = import.meta.resolve(cssFile);
//console.log(cssPath);
const $link = document.createElement("link");
$link.setAttribute("rel", 'stylesheet');
$link.setAttribute("href", cssPath);
document.head.appendChild($link);
};
export const copyText = (text) => {
return new Promise((resolve) => {
let err;
try {
navigator.clipboard.writeText(text);
} catch (e) {
err = e;
}
if (err) {
resolve(false);
} else {
resolve(true);
}
});
};
function renderPopover($elem, target, options = {}) {
// async microtask
queueMicrotask(() => {
const containerRect = getRect(window);
const targetRect = getRect(target);
const elemRect = getRect($elem);
const positionInfo = getBestPosition(
containerRect,
targetRect,
elemRect,
options.positions
);
const style = getPositionStyle(positionInfo, {
bgColor: options.bgColor,
borderColor: options.borderColor,
borderRadius: options.borderRadius
});
$elem.style.top = positionInfo.top + "px";
$elem.style.left = positionInfo.left + "px";
$elem.style.background = style.background;
});
}
let $popover;
export function hidePopover() {
if ($popover) {
$popover.remove();
$popover = null;
}
}
export function showPopover(target, text, className, options) {
hidePopover();
$popover = document.createElement("div");
$popover.className = ['cn-popover', className].filter(it => it).join(" ");
document.body.appendChild($popover);
$popover.innerHTML = text;
$popover.style.display = "block";
renderPopover($popover, target, {
borderRadius: 10,
... options
});
}
let $tooltip;
export function hideTooltip(target) {
if ($tooltip) {
$tooltip.style.display = "none";
$tooltip.innerHTML = "";
$tooltip.style.top = "0px";
$tooltip.style.left = "0px";
}
}
export function showTooltip(target, text, className = 'cn-tooltip', styleMap = {}) {
if (!$tooltip) {
$tooltip = document.createElement("div");
$tooltip.className = className;
$tooltip.style.cssText = `
pointer-events: none;
position: fixed;
z-index: 10001;
padding: 20px;
color: #1e1e1e;
max-width: 350px;
filter: drop-shadow(1px 5px 5px rgb(0 0 0 / 30%));
${Object.keys(styleMap).map(k=>k+":"+styleMap[k]+";").join("")}
`;
document.body.appendChild($tooltip);
}
$tooltip.innerHTML = text;
$tooltip.style.display = "block";
renderPopover($tooltip, target, {
positions: ['top', 'bottom', 'right', 'center'],
bgColor: "#ffffff",
borderColor: "#cccccc",
borderRadius: 5
});
}
function initTooltip () {
const mouseenterHandler = (e) => {
const target = e.target;
const text = target.getAttribute('tooltip');
if (text) {
showTooltip(target, text);
}
};
const mouseleaveHandler = (e) => {
const target = e.target;
const text = target.getAttribute('tooltip');
if (text) {
hideTooltip(target);
}
};
document.body.removeEventListener('mouseenter', mouseenterHandler, true);
document.body.removeEventListener('mouseleave', mouseleaveHandler, true);
document.body.addEventListener('mouseenter', mouseenterHandler, true);
document.body.addEventListener('mouseleave', mouseleaveHandler, true);
}
initTooltip();

View File

@@ -1,699 +0,0 @@
.cn-manager {
--grid-font: -apple-system, BlinkMacSystemFont, "Segue UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji";
z-index: 1099;
width: 80%;
height: 80%;
display: flex;
flex-direction: column;
gap: 10px;
color: var(--fg-color);
font-family: arial, sans-serif;
text-underline-offset: 3px;
outline: none;
}
.cn-manager .cn-flex-auto {
flex: auto;
}
.cn-manager button {
font-size: 16px;
color: var(--input-text);
background-color: var(--comfy-input-bg);
border-radius: 8px;
border-color: var(--border-color);
border-style: solid;
margin: 0;
padding: 4px 8px;
min-width: 100px;
}
.cn-manager button:disabled,
.cn-manager input:disabled,
.cn-manager select:disabled {
color: gray;
}
.cn-manager button:disabled {
background-color: var(--comfy-input-bg);
}
.cn-manager .cn-manager-restart {
display: none;
background-color: #500000;
color: white;
}
.cn-manager .cn-manager-stop {
display: none;
background-color: #500000;
color: white;
}
.cn-manager .cn-manager-back {
align-items: center;
justify-content: center;
}
.arrow-icon {
height: 1em;
width: 1em;
margin-right: 5px;
transform: translateY(2px);
}
.cn-icon {
display: block;
width: 16px;
height: 16px;
}
.cn-icon svg {
display: block;
margin: 0;
pointer-events: none;
}
.cn-manager-header {
display: flex;
flex-wrap: wrap;
gap: 5px;
align-items: center;
padding: 0 5px;
}
.cn-manager-header label {
display: flex;
gap: 5px;
align-items: center;
}
.cn-manager-filter {
height: 28px;
line-height: 28px;
}
.cn-manager-keywords {
height: 28px;
line-height: 28px;
padding: 0 5px 0 26px;
background-size: 16px;
background-position: 5px center;
background-repeat: no-repeat;
background-image: url("data:image/svg+xml;charset=utf8,%3Csvg%20viewBox%3D%220%200%2024%2024%22%20width%3D%22100%25%22%20height%3D%22100%25%22%20pointer-events%3D%22none%22%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%3E%3Cpath%20fill%3D%22none%22%20stroke%3D%22%23888%22%20stroke-linecap%3D%22round%22%20stroke-linejoin%3D%22round%22%20stroke-width%3D%222%22%20d%3D%22m21%2021-4.486-4.494M19%2010.5a8.5%208.5%200%201%201-17%200%208.5%208.5%200%200%201%2017%200%22%2F%3E%3C%2Fsvg%3E");
}
.cn-manager-status {
padding-left: 10px;
}
.cn-manager-grid {
flex: auto;
border: 1px solid var(--border-color);
overflow: hidden;
position: relative;
}
.cn-manager-selection {
display: flex;
flex-wrap: wrap;
gap: 10px;
align-items: center;
}
.cn-manager-message {
position: relative;
}
.cn-manager-footer {
display: flex;
flex-wrap: wrap;
gap: 10px;
align-items: center;
}
.cn-manager-grid .tg-turbogrid {
font-family: var(--grid-font);
font-size: 15px;
background: var(--bg-color);
}
.cn-manager-grid .tg-turbogrid .tg-highlight::after {
position: absolute;
top: 0;
left: 0;
content: "";
display: block;
width: 100%;
height: 100%;
box-sizing: border-box;
background-color: #80bdff11;
pointer-events: none;
}
.cn-manager-grid .cn-pack-name a {
color: skyblue;
text-decoration: none;
word-break: break-word;
}
.cn-manager-grid .cn-pack-desc a {
color: #5555FF;
font-weight: bold;
text-decoration: none;
}
.cn-manager-grid .tg-cell a:hover {
text-decoration: underline;
}
.cn-manager-grid .cn-pack-version {
line-height: 100%;
display: flex;
flex-direction: column;
justify-content: center;
height: 100%;
gap: 5px;
}
.cn-manager-grid .cn-pack-nodes {
line-height: 100%;
display: flex;
flex-direction: column;
justify-content: center;
gap: 5px;
cursor: pointer;
height: 100%;
}
.cn-manager-grid .cn-pack-nodes:hover {
text-decoration: underline;
}
.cn-manager-grid .cn-pack-conflicts {
color: orange;
}
.cn-popover {
position: fixed;
z-index: 10000;
padding: 20px;
color: #1e1e1e;
filter: drop-shadow(1px 5px 5px rgb(0 0 0 / 30%));
overflow: hidden;
}
.cn-flyover {
position: absolute;
top: 0;
right: 0;
z-index: 1000;
display: none;
width: 50%;
height: 100%;
background-color: var(--comfy-menu-bg);
animation-duration: 0.2s;
animation-fill-mode: both;
flex-direction: column;
}
.cn-flyover::before {
position: absolute;
top: 0;
content: "";
z-index: 10;
display: block;
width: 10px;
height: 100%;
pointer-events: none;
left: -10px;
background-image: linear-gradient(to left, rgb(0 0 0 / 20%), rgb(0 0 0 / 0%));
}
.cn-flyover-header {
height: 45px;
display: flex;
align-items: center;
gap: 5px;
border-bottom: 1px solid var(--border-color);
}
.cn-flyover-close {
display: flex;
align-items: center;
padding: 0 10px;
justify-content: center;
cursor: pointer;
opacity: 0.8;
height: 100%;
}
.cn-flyover-close:hover {
opacity: 1;
}
.cn-flyover-close svg {
display: block;
margin: 0;
pointer-events: none;
width: 20px;
height: 20px;
}
.cn-flyover-title {
display: flex;
align-items: center;
font-weight: bold;
gap: 10px;
flex: auto;
}
.cn-flyover-body {
height: calc(100% - 45px);
overflow-y: auto;
position: relative;
background-color: var(--comfy-menu-secondary-bg);
}
@keyframes cn-slide-in-right {
from {
visibility: visible;
transform: translate3d(100%, 0, 0);
}
to {
transform: translate3d(0, 0, 0);
}
}
.cn-slide-in-right {
animation-name: cn-slide-in-right;
}
@keyframes cn-slide-out-right {
from {
transform: translate3d(0, 0, 0);
}
to {
visibility: hidden;
transform: translate3d(100%, 0, 0);
}
}
.cn-slide-out-right {
animation-name: cn-slide-out-right;
}
.cn-nodes-list {
width: 100%;
}
.cn-nodes-row {
display: flex;
align-items: center;
gap: 10px;
}
.cn-nodes-row:nth-child(odd) {
background-color: rgb(0 0 0 / 5%);
}
.cn-nodes-row:hover {
background-color: rgb(0 0 0 / 10%);
}
.cn-nodes-sn {
text-align: right;
min-width: 35px;
color: var(--drag-text);
flex-shrink: 0;
font-size: 12px;
padding: 8px 5px;
}
.cn-nodes-name {
cursor: pointer;
white-space: nowrap;
flex-shrink: 0;
position: relative;
padding: 8px 5px;
}
.cn-nodes-name::after {
content: attr(action);
position: absolute;
pointer-events: none;
top: 50%;
left: 100%;
transform: translate(5px, -50%);
font-size: 12px;
color: var(--drag-text);
background-color: var(--comfy-input-bg);
border-radius: 10px;
border: 1px solid var(--border-color);
padding: 3px 8px;
display: none;
}
.cn-nodes-name.action::after {
display: block;
}
.cn-nodes-name:hover {
text-decoration: underline;
}
.cn-nodes-conflict .cn-nodes-name,
.cn-nodes-conflict .cn-icon {
color: orange;
}
.cn-conflicts-list {
display: flex;
flex-wrap: wrap;
gap: 5px;
align-items: center;
padding: 5px 0;
}
.cn-conflicts-list b {
font-weight: normal;
color: var(--descrip-text);
}
.cn-nodes-pack {
cursor: pointer;
color: skyblue;
}
.cn-nodes-pack:hover {
text-decoration: underline;
}
.cn-pack-badge {
font-size: 12px;
font-weight: normal;
background-color: var(--comfy-input-bg);
border-radius: 10px;
border: 1px solid var(--border-color);
padding: 3px 8px;
color: var(--error-text);
}
.cn-preview {
min-width: 300px;
max-width: 500px;
min-height: 120px;
overflow: hidden;
font-size: 12px;
pointer-events: none;
padding: 12px;
color: var(--fg-color);
}
.cn-preview-header {
display: flex;
gap: 8px;
align-items: center;
border-bottom: 1px solid var(--comfy-input-bg);
padding: 5px 10px;
}
.cn-preview-dot {
width: 8px;
height: 8px;
border-radius: 50%;
background-color: grey;
position: relative;
filter: drop-shadow(1px 2px 3px rgb(0 0 0 / 30%));
}
.cn-preview-dot.cn-preview-optional::after {
content: "";
position: absolute;
pointer-events: none;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
background-color: var(--comfy-input-bg);
border-radius: 50%;
width: 3px;
height: 3px;
}
.cn-preview-dot.cn-preview-grid {
border-radius: 0;
}
.cn-preview-dot.cn-preview-grid::before {
content: '';
position: absolute;
border-left: 1px solid var(--comfy-input-bg);
border-right: 1px solid var(--comfy-input-bg);
width: 4px;
height: 100%;
left: 2px;
top: 0;
z-index: 1;
}
.cn-preview-dot.cn-preview-grid::after {
content: '';
position: absolute;
border-top: 1px solid var(--comfy-input-bg);
border-bottom: 1px solid var(--comfy-input-bg);
width: 100%;
height: 4px;
left: 0;
top: 2px;
z-index: 1;
}
.cn-preview-name {
flex: auto;
font-size: 14px;
}
.cn-preview-io {
display: flex;
justify-content: space-between;
padding: 10px 10px;
}
.cn-preview-column > div {
display: flex;
gap: 10px;
align-items: center;
height: 18px;
overflow: hidden;
white-space: nowrap;
text-overflow: ellipsis;
}
.cn-preview-input {
justify-content: flex-start;
}
.cn-preview-output {
justify-content: flex-end;
}
.cn-preview-list {
display: flex;
flex-direction: column;
gap: 3px;
padding: 0 10px 10px 10px;
}
.cn-preview-switch {
position: relative;
display: flex;
justify-content: space-between;
align-items: center;
background: var(--bg-color);
border: 2px solid var(--border-color);
border-radius: 10px;
text-wrap: nowrap;
padding: 2px 20px;
gap: 10px;
}
.cn-preview-switch::before,
.cn-preview-switch::after {
position: absolute;
pointer-events: none;
top: 50%;
transform: translate(0, -50%);
color: var(--fg-color);
opacity: 0.8;
}
.cn-preview-switch::before {
content: "◀";
left: 5px;
}
.cn-preview-switch::after {
content: "▶";
right: 5px;
}
.cn-preview-value {
color: var(--descrip-text);
}
.cn-preview-string {
min-height: 30px;
max-height: 300px;
background: var(--bg-color);
color: var(--descrip-text);
border-radius: 3px;
padding: 3px 5px;
overflow-y: auto;
overflow-x: hidden;
}
.cn-preview-description {
margin: 0px 10px 10px 10px;
padding: 6px;
background: var(--border-color);
color: var(--descrip-text);
border-radius: 5px;
font-style: italic;
word-break: break-word;
}
.cn-tag-list {
display: flex;
flex-wrap: wrap;
gap: 5px;
align-items: center;
margin-bottom: 5px;
}
.cn-tag-list > div {
background-color: var(--border-color);
border-radius: 5px;
padding: 0 5px;
}
.cn-install-buttons {
display: flex;
flex-direction: column;
gap: 3px;
padding: 3px;
align-items: center;
justify-content: center;
height: 100%;
}
.cn-selected-buttons {
display: flex;
gap: 5px;
align-items: center;
padding-right: 20px;
}
.cn-manager .cn-btn-enable {
background-color: #333399;
color: white;
}
.cn-manager .cn-btn-disable {
background-color: #442277;
color: white;
}
.cn-manager .cn-btn-update {
background-color: #1155AA;
color: white;
}
.cn-manager .cn-btn-try-update {
background-color: Gray;
color: white;
}
.cn-manager .cn-btn-try-fix {
background-color: #6495ED;
color: white;
}
.cn-manager .cn-btn-import-failed {
background-color: #AA1111;
font-size: 10px;
font-weight: bold;
color: white;
}
.cn-manager .cn-btn-install {
background-color: black;
color: white;
}
.cn-manager .cn-btn-try-install {
background-color: Gray;
color: white;
}
.cn-manager .cn-btn-uninstall {
background-color: #993333;
color: white;
}
.cn-manager .cn-btn-reinstall {
background-color: #993333;
color: white;
}
.cn-manager .cn-btn-switch {
background-color: #448833;
color: white;
}
@keyframes cn-btn-loading-bg {
0% {
left: 0;
}
100% {
left: -105px;
}
}
.cn-manager button.cn-btn-loading {
position: relative;
overflow: hidden;
border-color: rgb(0 119 207 / 80%);
background-color: var(--comfy-input-bg);
}
.cn-manager button.cn-btn-loading::after {
position: absolute;
top: 0;
left: 0;
content: "";
width: 500px;
height: 100%;
background-image: repeating-linear-gradient(
-45deg,
rgb(0 119 207 / 30%),
rgb(0 119 207 / 30%) 10px,
transparent 10px,
transparent 15px
);
animation: cn-btn-loading-bg 2s linear infinite;
}
.cn-manager-light .cn-pack-name a {
color: blue;
}
.cn-manager-light .cm-warn-note {
background-color: #ccc !important;
}
.cn-manager-light .cn-btn-install {
background-color: #333;
}

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File diff suppressed because it is too large Load Diff

View File

@@ -1,213 +0,0 @@
.cmm-manager {
--grid-font: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji";
z-index: 1099;
width: 80%;
height: 80%;
display: flex;
flex-direction: column;
gap: 10px;
color: var(--fg-color);
font-family: arial, sans-serif;
}
.cmm-manager .cmm-flex-auto {
flex: auto;
}
.cmm-manager button {
font-size: 16px;
color: var(--input-text);
background-color: var(--comfy-input-bg);
border-radius: 8px;
border-color: var(--border-color);
border-style: solid;
margin: 0;
padding: 4px 8px;
min-width: 100px;
}
.cmm-manager button:disabled,
.cmm-manager input:disabled,
.cmm-manager select:disabled {
color: gray;
}
.cmm-manager button:disabled {
background-color: var(--comfy-input-bg);
}
.cmm-manager .cmm-manager-refresh {
display: none;
background-color: #000080;
color: white;
}
.cmm-manager .cmm-manager-stop {
display: none;
background-color: #500000;
color: white;
}
.cmm-manager-header {
display: flex;
flex-wrap: wrap;
gap: 5px;
align-items: center;
padding: 0 5px;
}
.cmm-manager-header label {
display: flex;
gap: 5px;
align-items: center;
}
.cmm-manager-type,
.cmm-manager-base,
.cmm-manager-filter {
height: 28px;
line-height: 28px;
}
.cmm-manager-keywords {
height: 28px;
line-height: 28px;
padding: 0 5px 0 26px;
background-size: 16px;
background-position: 5px center;
background-repeat: no-repeat;
background-image: url("data:image/svg+xml;charset=utf8,%3Csvg%20viewBox%3D%220%200%2024%2024%22%20width%3D%22100%25%22%20height%3D%22100%25%22%20pointer-events%3D%22none%22%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%3E%3Cpath%20fill%3D%22none%22%20stroke%3D%22%23888%22%20stroke-linecap%3D%22round%22%20stroke-linejoin%3D%22round%22%20stroke-width%3D%222%22%20d%3D%22m21%2021-4.486-4.494M19%2010.5a8.5%208.5%200%201%201-17%200%208.5%208.5%200%200%201%2017%200%22%2F%3E%3C%2Fsvg%3E");
}
.cmm-manager-status {
padding-left: 10px;
}
.cmm-manager-grid {
flex: auto;
border: 1px solid var(--border-color);
overflow: hidden;
}
.cmm-manager-selection {
display: flex;
flex-wrap: wrap;
gap: 10px;
align-items: center;
}
.cmm-manager-footer {
display: flex;
flex-wrap: wrap;
gap: 10px;
align-items: center;
}
.cmm-manager-grid .tg-turbogrid {
font-family: var(--grid-font);
font-size: 15px;
background: var(--bg-color);
}
.cmm-manager-grid .cmm-node-name a {
color: skyblue;
text-decoration: none;
word-break: break-word;
}
.cmm-manager-grid .cmm-node-desc a {
color: #5555FF;
font-weight: bold;
text-decoration: none;
}
.cmm-manager-grid .tg-cell a:hover {
text-decoration: underline;
}
.cmm-icon-passed {
width: 20px;
height: 20px;
position: absolute;
left: calc(50% - 10px);
top: calc(50% - 10px);
}
.cmm-manager .cmm-btn-enable {
background-color: blue;
color: white;
}
.cmm-manager .cmm-btn-disable {
background-color: MediumSlateBlue;
color: white;
}
.cmm-manager .cmm-btn-install {
background-color: black;
color: white;
}
.cmm-btn-download {
width: 18px;
height: 18px;
position: absolute;
left: calc(50% - 10px);
top: calc(50% - 10px);
cursor: pointer;
opacity: 0.8;
color: #fff;
}
.cmm-btn-download:hover {
opacity: 1;
}
.cmm-manager-light .cmm-btn-download {
color: #000;
}
@keyframes cmm-btn-loading-bg {
0% {
left: 0;
}
100% {
left: -105px;
}
}
.cmm-manager button.cmm-btn-loading {
position: relative;
overflow: hidden;
border-color: rgb(0 119 207 / 80%);
background-color: var(--comfy-input-bg);
}
.cmm-manager button.cmm-btn-loading::after {
position: absolute;
top: 0;
left: 0;
content: "";
width: 500px;
height: 100%;
background-image: repeating-linear-gradient(
-45deg,
rgb(0 119 207 / 30%),
rgb(0 119 207 / 30%) 10px,
transparent 10px,
transparent 15px
);
animation: cmm-btn-loading-bg 2s linear infinite;
}
.cmm-manager-light .cmm-node-name a {
color: blue;
}
.cmm-manager-light .cm-warn-note {
background-color: #ccc !important;
}
.cmm-manager-light .cmm-btn-install {
background-color: #333;
}

View File

@@ -3,17 +3,236 @@ import { $el } from "../../scripts/ui.js";
import { import {
manager_instance, rebootAPI, manager_instance, rebootAPI,
fetchData, md5, icons, show_message, customAlert, infoToast, showTerminal, fetchData, md5, icons, show_message, customAlert, infoToast, showTerminal,
storeColumnWidth, restoreColumnWidth, loadCss storeColumnWidth, restoreColumnWidth
} from "./common.js"; } from "./common.js";
import { api } from "../../scripts/api.js"; import { api } from "../../scripts/api.js";
// https://cenfun.github.io/turbogrid/api.html // https://cenfun.github.io/turbogrid/api.html
import TG from "./turbogrid.esm.js"; import TG from "./turbogrid.esm.js";
loadCss("./model-manager.css");
const gridId = "model"; const gridId = "model";
const pageCss = `
.cmm-manager {
--grid-font: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji";
z-index: 1099;
width: 80%;
height: 80%;
display: flex;
flex-direction: column;
gap: 10px;
color: var(--fg-color);
font-family: arial, sans-serif;
}
.cmm-manager .cmm-flex-auto {
flex: auto;
}
.cmm-manager button {
font-size: 16px;
color: var(--input-text);
background-color: var(--comfy-input-bg);
border-radius: 8px;
border-color: var(--border-color);
border-style: solid;
margin: 0;
padding: 4px 8px;
min-width: 100px;
}
.cmm-manager button:disabled,
.cmm-manager input:disabled,
.cmm-manager select:disabled {
color: gray;
}
.cmm-manager button:disabled {
background-color: var(--comfy-input-bg);
}
.cmm-manager .cmm-manager-refresh {
display: none;
background-color: #000080;
color: white;
}
.cmm-manager .cmm-manager-stop {
display: none;
background-color: #500000;
color: white;
}
.cmm-manager-header {
display: flex;
flex-wrap: wrap;
gap: 5px;
align-items: center;
padding: 0 5px;
}
.cmm-manager-header label {
display: flex;
gap: 5px;
align-items: center;
}
.cmm-manager-type,
.cmm-manager-base,
.cmm-manager-filter {
height: 28px;
line-height: 28px;
}
.cmm-manager-keywords {
height: 28px;
line-height: 28px;
padding: 0 5px 0 26px;
background-size: 16px;
background-position: 5px center;
background-repeat: no-repeat;
background-image: url("data:image/svg+xml;charset=utf8,${encodeURIComponent(icons.search.replace("currentColor", "#888"))}");
}
.cmm-manager-status {
padding-left: 10px;
}
.cmm-manager-grid {
flex: auto;
border: 1px solid var(--border-color);
overflow: hidden;
}
.cmm-manager-selection {
display: flex;
flex-wrap: wrap;
gap: 10px;
align-items: center;
}
.cmm-manager-message {
}
.cmm-manager-footer {
display: flex;
flex-wrap: wrap;
gap: 10px;
align-items: center;
}
.cmm-manager-grid .tg-turbogrid {
font-family: var(--grid-font);
font-size: 15px;
background: var(--bg-color);
}
.cmm-manager-grid .cmm-node-name a {
color: skyblue;
text-decoration: none;
word-break: break-word;
}
.cmm-manager-grid .cmm-node-desc a {
color: #5555FF;
font-weight: bold;
text-decoration: none;
}
.cmm-manager-grid .tg-cell a:hover {
text-decoration: underline;
}
.cmm-icon-passed {
width: 20px;
height: 20px;
position: absolute;
left: calc(50% - 10px);
top: calc(50% - 10px);
}
.cmm-manager .cmm-btn-enable {
background-color: blue;
color: white;
}
.cmm-manager .cmm-btn-disable {
background-color: MediumSlateBlue;
color: white;
}
.cmm-manager .cmm-btn-install {
background-color: black;
color: white;
}
.cmm-btn-download {
width: 18px;
height: 18px;
position: absolute;
left: calc(50% - 10px);
top: calc(50% - 10px);
cursor: pointer;
opacity: 0.8;
color: #fff;
}
.cmm-btn-download:hover {
opacity: 1;
}
.cmm-manager-light .cmm-btn-download {
color: #000;
}
@keyframes cmm-btn-loading-bg {
0% {
left: 0;
}
100% {
left: -105px;
}
}
.cmm-manager button.cmm-btn-loading {
position: relative;
overflow: hidden;
border-color: rgb(0 119 207 / 80%);
background-color: var(--comfy-input-bg);
}
.cmm-manager button.cmm-btn-loading::after {
position: absolute;
top: 0;
left: 0;
content: "";
width: 500px;
height: 100%;
background-image: repeating-linear-gradient(
-45deg,
rgb(0 119 207 / 30%),
rgb(0 119 207 / 30%) 10px,
transparent 10px,
transparent 15px
);
animation: cmm-btn-loading-bg 2s linear infinite;
}
.cmm-manager-light .cmm-node-name a {
color: blue;
}
.cmm-manager-light .cm-warn-note {
background-color: #ccc !important;
}
.cmm-manager-light .cmm-btn-install {
background-color: #333;
}
`;
const pageHtml = ` const pageHtml = `
<div class="cmm-manager-header"> <div class="cmm-manager-header">
<label>Filter <label>Filter
@@ -64,6 +283,14 @@ export class ModelManager {
} }
init() { init() {
if (!document.querySelector(`style[context="${this.id}"]`)) {
const $style = document.createElement("style");
$style.setAttribute("context", this.id);
$style.innerHTML = pageCss;
document.head.appendChild($style);
}
this.element = $el("div", { this.element = $el("div", {
parent: document.body, parent: document.body,
className: "comfy-modal cmm-manager" className: "comfy-modal cmm-manager"
@@ -81,13 +308,10 @@ export class ModelManager {
value: "" value: ""
}, { }, {
label: "Installed", label: "Installed",
value: "installed" value: "True"
}, { }, {
label: "Not Installed", label: "Not Installed",
value: "not_installed" value: "False"
}, {
label: "In Workflow",
value: "in_workflow"
}]; }];
this.typeList = [{ this.typeList = [{
@@ -257,31 +481,12 @@ export class ModelManager {
rowFilter: (rowItem) => { rowFilter: (rowItem) => {
const searchableColumns = ["name", "type", "base", "description", "filename", "save_path"]; const searchableColumns = ["name", "type", "base", "description", "filename", "save_path"];
const models_extensions = ['.ckpt', '.pt', '.pt2', '.bin', '.pth', '.safetensors', '.pkl', '.sft'];
let shouldShown = grid.highlightKeywordsFilter(rowItem, searchableColumns, this.keywords); let shouldShown = grid.highlightKeywordsFilter(rowItem, searchableColumns, this.keywords);
if (shouldShown) { if (shouldShown) {
if(this.filter) { if(this.filter && rowItem.installed !== this.filter) {
if (this.filter == "in_workflow") { return false;
rowItem.in_workflow = null;
if (Array.isArray(app.graph._nodes)) {
app.graph._nodes.forEach((item, i) => {
if (Array.isArray(item.widgets_values)) {
item.widgets_values.forEach((_item, i) => {
if (rowItem.in_workflow === null && _item !== null && models_extensions.includes("." + _item.toString().split('.').pop())) {
let filename = _item.match(/([^\/]+)(?=\.\w+$)/)[0];
if (grid.highlightKeywordsFilter(rowItem, searchableColumns, filename)) {
rowItem.in_workflow = "True";
grid.highlightKeywordsFilter(rowItem, searchableColumns, "");
}
}
});
}
});
}
}
return ((this.filter == "installed" && rowItem.installed == "True") || (this.filter == "not_installed" && rowItem.installed == "False") || (this.filter == "in_workflow" && rowItem.in_workflow == "True"));
} }
if(this.type && rowItem.type !== this.type) { if(this.type && rowItem.type !== this.type) {
@@ -356,7 +561,7 @@ export class ModelManager {
sortable: false, sortable: false,
align: 'center', align: 'center',
formatter: (url, rowItem, columnItem) => { formatter: (url, rowItem, columnItem) => {
return `<a class="cmm-btn-download" tooltip="Download file" href="${url}" target="_blank">${icons.download}</a>`; return `<a class="cmm-btn-download" title="Download file" href="${url}" target="_blank">${icons.download}</a>`;
} }
}, { }, {
id: 'size', id: 'size',

View File

@@ -1,619 +0,0 @@
const hasOwn = function(obj, key) {
return Object.prototype.hasOwnProperty.call(obj, key);
};
const isNum = function(num) {
if (typeof num !== 'number' || isNaN(num)) {
return false;
}
const isInvalid = function(n) {
if (n === Number.MAX_VALUE || n === Number.MIN_VALUE || n === Number.NEGATIVE_INFINITY || n === Number.POSITIVE_INFINITY) {
return true;
}
return false;
};
if (isInvalid(num)) {
return false;
}
return true;
};
const toNum = (num) => {
if (typeof (num) !== 'number') {
num = parseFloat(num);
}
if (isNaN(num)) {
num = 0;
}
num = Math.round(num);
return num;
};
const clamp = function(value, min, max) {
return Math.max(min, Math.min(max, value));
};
const isWindow = (obj) => {
return Boolean(obj && obj === obj.window);
};
const isDocument = (obj) => {
return Boolean(obj && obj.nodeType === 9);
};
const isElement = (obj) => {
return Boolean(obj && obj.nodeType === 1);
};
// ===========================================================================================
export const toRect = (obj) => {
if (obj) {
return {
left: toNum(obj.left || obj.x),
top: toNum(obj.top || obj.y),
width: toNum(obj.width),
height: toNum(obj.height)
};
}
return {
left: 0,
top: 0,
width: 0,
height: 0
};
};
export const getElement = (selector) => {
if (typeof selector === 'string' && selector) {
if (selector.startsWith('#')) {
return document.getElementById(selector.slice(1));
}
return document.querySelector(selector);
}
if (isDocument(selector)) {
return selector.body;
}
if (isElement(selector)) {
return selector;
}
};
export const getRect = (target, fixed) => {
if (!target) {
return toRect();
}
if (isWindow(target)) {
return {
left: 0,
top: 0,
width: window.innerWidth,
height: window.innerHeight
};
}
const elem = getElement(target);
if (!elem) {
return toRect(target);
}
const br = elem.getBoundingClientRect();
const rect = toRect(br);
// fix offset
if (!fixed) {
rect.left += window.scrollX;
rect.top += window.scrollY;
}
rect.width = elem.offsetWidth;
rect.height = elem.offsetHeight;
return rect;
};
// ===========================================================================================
const calculators = {
bottom: (info, containerRect, targetRect) => {
info.space = containerRect.top + containerRect.height - targetRect.top - targetRect.height - info.height;
info.top = targetRect.top + targetRect.height;
info.left = Math.round(targetRect.left + targetRect.width * 0.5 - info.width * 0.5);
},
top: (info, containerRect, targetRect) => {
info.space = targetRect.top - info.height - containerRect.top;
info.top = targetRect.top - info.height;
info.left = Math.round(targetRect.left + targetRect.width * 0.5 - info.width * 0.5);
},
right: (info, containerRect, targetRect) => {
info.space = containerRect.left + containerRect.width - targetRect.left - targetRect.width - info.width;
info.top = Math.round(targetRect.top + targetRect.height * 0.5 - info.height * 0.5);
info.left = targetRect.left + targetRect.width;
},
left: (info, containerRect, targetRect) => {
info.space = targetRect.left - info.width - containerRect.left;
info.top = Math.round(targetRect.top + targetRect.height * 0.5 - info.height * 0.5);
info.left = targetRect.left - info.width;
}
};
// with order
export const getDefaultPositions = () => {
return Object.keys(calculators);
};
const calculateSpace = (info, containerRect, targetRect) => {
const calculator = calculators[info.position];
calculator(info, containerRect, targetRect);
if (info.space >= 0) {
info.passed += 1;
}
};
// ===========================================================================================
const calculateAlignOffset = (info, containerRect, targetRect, alignType, sizeType) => {
const popoverStart = info[alignType];
const popoverSize = info[sizeType];
const containerStart = containerRect[alignType];
const containerSize = containerRect[sizeType];
const targetStart = targetRect[alignType];
const targetSize = targetRect[sizeType];
const targetCenter = targetStart + targetSize * 0.5;
// size overflow
if (popoverSize > containerSize) {
const overflow = (popoverSize - containerSize) * 0.5;
info[alignType] = containerStart - overflow;
info.offset = targetCenter - containerStart + overflow;
return;
}
const space1 = popoverStart - containerStart;
const space2 = (containerStart + containerSize) - (popoverStart + popoverSize);
// both side passed, default to center
if (space1 >= 0 && space2 >= 0) {
if (info.passed) {
info.passed += 2;
}
info.offset = popoverSize * 0.5;
return;
}
// one side passed
if (info.passed) {
info.passed += 1;
}
if (space1 < 0) {
const min = containerStart;
info[alignType] = min;
info.offset = targetCenter - min;
return;
}
// space2 < 0
const max = containerStart + containerSize - popoverSize;
info[alignType] = max;
info.offset = targetCenter - max;
};
const calculateHV = (info, containerRect) => {
if (['top', 'bottom'].includes(info.position)) {
info.top = clamp(info.top, containerRect.top, containerRect.top + containerRect.height - info.height);
return ['left', 'width'];
}
info.left = clamp(info.left, containerRect.left, containerRect.left + containerRect.width - info.width);
return ['top', 'height'];
};
const calculateOffset = (info, containerRect, targetRect) => {
const [alignType, sizeType] = calculateHV(info, containerRect);
calculateAlignOffset(info, containerRect, targetRect, alignType, sizeType);
info.offset = clamp(info.offset, 0, info[sizeType]);
};
// ===========================================================================================
const calculateDistance = (info, previousPositionInfo) => {
if (!previousPositionInfo) {
return;
}
// no change if position no change with previous
if (info.position === previousPositionInfo.position) {
return;
}
const ax = info.left + info.width * 0.5;
const ay = info.top + info.height * 0.5;
const bx = previousPositionInfo.left + previousPositionInfo.width * 0.5;
const by = previousPositionInfo.top + previousPositionInfo.height * 0.5;
const dx = Math.abs(ax - bx);
const dy = Math.abs(ay - by);
info.distance = Math.round(Math.sqrt(dx * dx + dy * dy));
};
// ===========================================================================================
const calculatePositionInfo = (info, containerRect, targetRect, previousPositionInfo) => {
calculateSpace(info, containerRect, targetRect);
calculateOffset(info, containerRect, targetRect);
calculateDistance(info, previousPositionInfo);
};
// ===========================================================================================
const calculateBestPosition = (containerRect, targetRect, infoMap, withOrder, previousPositionInfo) => {
// position space: +1
// align space:
// two side passed: +2
// one side passed: +1
const safePassed = 3;
if (previousPositionInfo) {
const prevInfo = infoMap[previousPositionInfo.position];
if (prevInfo) {
calculatePositionInfo(prevInfo, containerRect, targetRect);
if (prevInfo.passed >= safePassed) {
return prevInfo;
}
prevInfo.calculated = true;
}
}
const positionList = [];
Object.values(infoMap).forEach((info) => {
if (!info.calculated) {
calculatePositionInfo(info, containerRect, targetRect, previousPositionInfo);
}
positionList.push(info);
});
positionList.sort((a, b) => {
if (a.passed !== b.passed) {
return b.passed - a.passed;
}
if (withOrder && a.passed >= safePassed && b.passed >= safePassed) {
return a.index - b.index;
}
if (a.space !== b.space) {
return b.space - a.space;
}
return a.index - b.index;
});
// logTable(positionList);
return positionList[0];
};
// const logTable = (() => {
// let time_id;
// return (info) => {
// clearTimeout(time_id);
// time_id = setTimeout(() => {
// console.table(info);
// }, 10);
// };
// })();
// ===========================================================================================
const getAllowPositions = (positions, defaultAllowPositions) => {
if (!positions) {
return;
}
if (Array.isArray(positions)) {
positions = positions.join(',');
}
positions = String(positions).split(',').map((it) => it.trim().toLowerCase()).filter((it) => it);
positions = positions.filter((it) => defaultAllowPositions.includes(it));
if (!positions.length) {
return;
}
return positions;
};
const isPositionChanged = (info, previousPositionInfo) => {
if (!previousPositionInfo) {
return true;
}
if (info.left !== previousPositionInfo.left) {
return true;
}
if (info.top !== previousPositionInfo.top) {
return true;
}
return false;
};
// ===========================================================================================
// const log = (name, time) => {
// if (time > 0.1) {
// console.log(name, time);
// }
// };
export const getBestPosition = (containerRect, targetRect, popoverRect, positions, previousPositionInfo) => {
const defaultAllowPositions = getDefaultPositions();
let withOrder = true;
let allowPositions = getAllowPositions(positions, defaultAllowPositions);
if (!allowPositions) {
allowPositions = defaultAllowPositions;
withOrder = false;
}
// console.log('withOrder', withOrder);
// const start_time = performance.now();
const infoMap = {};
allowPositions.forEach((k, i) => {
infoMap[k] = {
position: k,
index: i,
top: 0,
left: 0,
width: popoverRect.width,
height: popoverRect.height,
space: 0,
offset: 0,
passed: 0,
distance: 0
};
});
// log('infoMap', performance.now() - start_time);
const bestPosition = calculateBestPosition(containerRect, targetRect, infoMap, withOrder, previousPositionInfo);
// check left/top
bestPosition.changed = isPositionChanged(bestPosition, previousPositionInfo);
return bestPosition;
};
// ===========================================================================================
const getTemplatePath = (width, height, arrowOffset, arrowSize, borderRadius) => {
const p = (px, py) => {
return [px, py].join(',');
};
const px = function(num, alignEnd) {
const floor = Math.floor(num);
let n = num < floor + 0.5 ? floor + 0.5 : floor + 1.5;
if (alignEnd) {
n -= 1;
}
return n;
};
const pxe = function(num) {
return px(num, true);
};
const ls = [];
const innerLeft = px(arrowSize);
const innerRight = pxe(width - arrowSize);
arrowOffset = clamp(arrowOffset, innerLeft, innerRight);
const innerTop = px(arrowSize);
const innerBottom = pxe(height - arrowSize);
const startPoint = p(innerLeft, innerTop + borderRadius);
const arrowPoint = p(arrowOffset, 1);
const LT = p(innerLeft, innerTop);
const RT = p(innerRight, innerTop);
const AOT = p(arrowOffset - arrowSize, innerTop);
const RRT = p(innerRight - borderRadius, innerTop);
ls.push(`M${startPoint}`);
ls.push(`V${innerBottom - borderRadius}`);
ls.push(`Q${p(innerLeft, innerBottom)} ${p(innerLeft + borderRadius, innerBottom)}`);
ls.push(`H${innerRight - borderRadius}`);
ls.push(`Q${p(innerRight, innerBottom)} ${p(innerRight, innerBottom - borderRadius)}`);
ls.push(`V${innerTop + borderRadius}`);
if (arrowOffset < innerLeft + arrowSize + borderRadius) {
ls.push(`Q${RT} ${RRT}`);
ls.push(`H${arrowOffset + arrowSize}`);
ls.push(`L${arrowPoint}`);
if (arrowOffset < innerLeft + arrowSize) {
ls.push(`L${LT}`);
ls.push(`L${startPoint}`);
} else {
ls.push(`L${AOT}`);
ls.push(`Q${LT} ${startPoint}`);
}
} else if (arrowOffset > innerRight - arrowSize - borderRadius) {
if (arrowOffset > innerRight - arrowSize) {
ls.push(`L${RT}`);
} else {
ls.push(`Q${RT} ${p(arrowOffset + arrowSize, innerTop)}`);
}
ls.push(`L${arrowPoint}`);
ls.push(`L${AOT}`);
ls.push(`H${innerLeft + borderRadius}`);
ls.push(`Q${LT} ${startPoint}`);
} else {
ls.push(`Q${RT} ${RRT}`);
ls.push(`H${arrowOffset + arrowSize}`);
ls.push(`L${arrowPoint}`);
ls.push(`L${AOT}`);
ls.push(`H${innerLeft + borderRadius}`);
ls.push(`Q${LT} ${startPoint}`);
}
return ls.join('');
};
const getPathData = function(position, width, height, arrowOffset, arrowSize, borderRadius) {
const handlers = {
bottom: () => {
const d = getTemplatePath(width, height, arrowOffset, arrowSize, borderRadius);
return {
d,
transform: ''
};
},
top: () => {
const d = getTemplatePath(width, height, width - arrowOffset, arrowSize, borderRadius);
return {
d,
transform: `rotate(180,${width * 0.5},${height * 0.5})`
};
},
left: () => {
const d = getTemplatePath(height, width, arrowOffset, arrowSize, borderRadius);
const x = (width - height) * 0.5;
const y = (height - width) * 0.5;
return {
d,
transform: `translate(${x} ${y}) rotate(90,${height * 0.5},${width * 0.5})`
};
},
right: () => {
const d = getTemplatePath(height, width, height - arrowOffset, arrowSize, borderRadius);
const x = (width - height) * 0.5;
const y = (height - width) * 0.5;
return {
d,
transform: `translate(${x} ${y}) rotate(-90,${height * 0.5},${width * 0.5})`
};
}
};
return handlers[position]();
};
// ===========================================================================================
// position style cache
const styleCache = {
// position: '',
// top: {},
// bottom: {},
// left: {},
// right: {}
};
export const getPositionStyle = (info, options = {}) => {
const o = {
bgColor: '#fff',
borderColor: '#ccc',
borderRadius: 5,
arrowSize: 10
};
Object.keys(o).forEach((k) => {
if (hasOwn(options, k)) {
const d = o[k];
const v = options[k];
if (typeof d === 'string') {
// string
if (typeof v === 'string' && v) {
o[k] = v;
}
} else {
// number
if (isNum(v) && v >= 0) {
o[k] = v;
}
}
}
});
const key = [
info.width,
info.height,
info.offset,
o.arrowSize,
o.borderRadius,
o.bgColor,
o.borderColor
].join('-');
const positionCache = styleCache[info.position];
if (positionCache && key === positionCache.key) {
const st = positionCache.style;
st.changed = styleCache.position !== info.position;
styleCache.position = info.position;
return st;
}
// console.log(options);
const data = getPathData(info.position, info.width, info.height, info.offset, o.arrowSize, o.borderRadius);
// console.log(data);
const viewBox = [0, 0, info.width, info.height].join(' ');
const svg = [
`<svg viewBox="${viewBox}" xmlns="http://www.w3.org/2000/svg">`,
`<path d="${data.d}" fill="${o.bgColor}" stroke="${o.borderColor}" transform="${data.transform}" />`,
'</svg>'
].join('');
// console.log(svg);
const backgroundImage = `url("data:image/svg+xml;charset=utf8,${encodeURIComponent(svg)}")`;
const background = `${backgroundImage} center no-repeat`;
const padding = `${o.arrowSize + o.borderRadius}px`;
const style = {
background,
backgroundImage,
padding,
changed: true
};
styleCache.position = info.position;
styleCache[info.position] = {
key,
style
};
return style;
};

View File

@@ -70,8 +70,8 @@ class WorkflowMetadataExtension {
if (cnr_id === "comfy-core") return; // don't allow hijacking comfy-core name if (cnr_id === "comfy-core") return; // don't allow hijacking comfy-core name
if (cnr_id) nodeProperties.cnr_id = cnr_id; if (cnr_id) nodeProperties.cnr_id = cnr_id;
else nodeProperties.aux_id = aux_id; else nodeProperties.aux_id = aux_id;
if (ver) nodeProperties.ver = ver.trim(); if (ver) nodeProperties.ver = ver;
} else if (["nodes", "comfy_extras", "comfy_api_nodes"].includes(moduleType)) { } else if (["nodes", "comfy_extras"].includes(moduleType)) {
nodeProperties.cnr_id = "comfy-core"; nodeProperties.cnr_id = "comfy-core";
nodeProperties.ver = this.comfyCoreVersion; nodeProperties.ver = this.comfyCoreVersion;
} }

View File

@@ -749,8 +749,8 @@
"save_path": "loras/HyperSD/SDXL", "save_path": "loras/HyperSD/SDXL",
"description": "Hyper-SD LoRA (4steps) - SDXL", "description": "Hyper-SD LoRA (4steps) - SDXL",
"reference": "https://huggingface.co/ByteDance/Hyper-SD", "reference": "https://huggingface.co/ByteDance/Hyper-SD",
"filename": "Hyper-SDXL-4steps-lora.safetensors", "filename": "Hyper-SD15-4steps-lora.safetensors",
"url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-4steps-lora.safetensors", "url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-4steps-lora.safetensors",
"size": "787MB" "size": "787MB"
}, },
{ {
@@ -4750,310 +4750,6 @@
"filename": "diffusion_pytorch_model.safetensors", "filename": "diffusion_pytorch_model.safetensors",
"url": "https://huggingface.co/Kwai-Kolors/Kolors/resolve/main/vae/diffusion_pytorch_model.safetensors", "url": "https://huggingface.co/Kwai-Kolors/Kolors/resolve/main/vae/diffusion_pytorch_model.safetensors",
"size": "335MB" "size": "335MB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 480p 14B (bf16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 480p 14B (bf16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_480p_14B_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_bf16.safetensors",
"size": "32.8GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 480p 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 480p 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_480p_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_fp16.safetensors",
"size": "32.8GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 480p 14B (fp8_e4m3fn)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 480p 14B (fp8_e4m3fn)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_480p_14B_fp8_e4m3fn.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_fp8_e4m3fn.safetensors",
"size": "16.4GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 480p 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 480p 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_480p_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_fp8_scaled.safetensors",
"size": "16.4GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 720p 14B (bf16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 720p 14B (bf16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_720p_14B_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_720p_14B_bf16.safetensors",
"size": "32.8GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 720p 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 720p 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_720p_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_720p_14B_fp16.safetensors",
"size": "32.8GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 720p 14B (fp8_e4m3fn)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 720p 14B (fp8_e4m3fn)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors",
"size": "16.4GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 720p 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 720p 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_720p_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_720p_14B_fp8_scaled.safetensors",
"size": "16.4GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 1.3B (bf16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 1.3B (bf16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_1.3B_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_bf16.safetensors",
"size": "2.84GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 1.3B (fp16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 1.3B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_1.3B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_fp16.safetensors",
"size": "2.84GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 14B (bf16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 14B (bf16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_14B_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_bf16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 14B (fp8_e4m3fn)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 14B (fp8_e4m3fn)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_14B_fp8_e4m3fn.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_fp8_e4m3fn.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.1 VAE",
"type": "vae",
"base": "Wan2.1",
"save_path": "vae",
"description": "Wan2.1 VAE model",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan_2.1_vae.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors",
"size": "254MB"
},
{
"name": "Comfy-Org/clip_vision_h.safetensors",
"type": "clip_vision",
"base": "clip_vision_h",
"save_path": "clip_vision",
"description": "clip_vision_h model for Wan2.1",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "clip_vision_h.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors",
"size": "1.26GB"
},
{
"name": "Comfy-Org/umt5_xxl_fp16.safetensors",
"type": "clip",
"base": "umt5_xxl",
"save_path": "text_encoders",
"description": "umt5_xxl_fp16 text encoder for Wan2.1",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "umt5_xxl_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp16.safetensors",
"size": "11.4GB"
},
{
"name": "Comfy-Org/umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"type": "clip",
"base": "umt5_xxl",
"save_path": "text_encoders",
"description": "umt5_xxl_fp8_e4m3fn_scaled text encoder for Wan2.1",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"size": "6.74GB"
},
{
"name": "lllyasviel/FramePackI2V_HY",
"type": "FramePackI2V",
"base": "FramePackI2V",
"save_path": "diffusers/lllyasviel",
"description": "[SNAPSHOT] This is the f1k1_x_g9_f1k1f2k2f16k4_td FramePack for HY. [w/You cannot download this item on ComfyUI-Manager versions below V3.18]",
"reference": "https://huggingface.co/lllyasviel/FramePackI2V_HY",
"filename": "<huggingface>",
"url": "lllyasviel/FramePackI2V_HY",
"size": "25.75GB"
},
{
"name": "LTX-Video Spatial Upscaler v0.9.7",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "Spatial upscaler model for LTX-Video. This model enhances the spatial resolution of generated videos.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-spatial-upscaler-0.9.7.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-spatial-upscaler-0.9.7.safetensors",
"size": "505MB"
},
{
"name": "LTX-Video Temporal Upscaler v0.9.7",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "Temporal upscaler model for LTX-Video. This model enhances the temporal resolution and smoothness of generated videos.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-temporal-upscaler-0.9.7.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-temporal-upscaler-0.9.7.safetensors",
"size": "524MB"
},
{
"name": "LTX-Video 13B v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "High-resolution quality LTX-Video 13B model.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-dev.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-dev.safetensors",
"size": "28.6GB"
},
{
"name": "LTX-Video 13B FP8 v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Quantized version of the LTX-Video 13B model, optimized for lower VRAM usage while maintaining high quality.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-dev-fp8.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-dev-fp8.safetensors",
"size": "15.7GB"
},
{
"name": "LTX-Video 13B Distilled v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Distilled version of the LTX-Video 13B model, providing improved efficiency while maintaining high-resolution quality.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-distilled.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled.safetensors",
"size": "28.6GB"
},
{
"name": "LTX-Video 13B Distilled FP8 v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Quantized distilled version of the LTX-Video 13B model, optimized for even lower VRAM usage while maintaining quality.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-distilled-fp8.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled-fp8.safetensors",
"size": "15.7GB"
},
{
"name": "LTX-Video 13B Distilled LoRA v0.9.7",
"type": "lora",
"base": "LTX-Video",
"save_path": "loras",
"description": "A LoRA adapter that transforms the standard LTX-Video 13B model into a distilled version when loaded.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-distilled-lora128.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled-lora128.safetensors",
"size": "1.33GB"
},
{
"name": "Latent Bridge Matching for Image Relighting",
"type": "diffusion_model",
"base": "LBM",
"save_path": "diffusion_models/LBM",
"description": "Latent Bridge Matching (LBM) Relighting model",
"reference": "https://huggingface.co/jasperai/LBM_relighting",
"filename": "LBM_relighting.safetensors",
"url": "https://huggingface.co/jasperai/LBM_relighting/resolve/main/model.safetensors",
"size": "5.02GB"
} }
] ]
} }

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@@ -1,95 +0,0 @@
# ComfyUI-Manager: Node Database (node_db)
This directory contains the JSON database files that power ComfyUI-Manager's legacy node registry system. While the manager is gradually transitioning to the online Custom Node Registry (CNR), these local JSON files continue to provide important metadata about custom nodes, models, and their integrations.
## Directory Structure
The node_db directory is organized into several subdirectories, each serving a specific purpose:
- **dev/**: Development channel files with latest additions and experimental nodes
- **legacy/**: Historical/legacy nodes that may require special handling
- **new/**: New nodes that have passed initial verification but are still being evaluated
- **forked/**: Forks of existing nodes with modifications
- **tutorial/**: Example and tutorial nodes designed for learning purposes
## Core Database Files
Each subdirectory contains a standard set of JSON files:
- **custom-node-list.json**: Primary database of custom nodes with metadata
- **extension-node-map.json**: Maps between extensions and individual nodes they provide
- **model-list.json**: Catalog of models that can be downloaded through the manager
- **alter-list.json**: Alternative implementations of nodes for compatibility or functionality
- **github-stats.json**: GitHub repository statistics for node popularity metrics
## Database Schema
### custom-node-list.json
```json
{
"custom_nodes": [
{
"title": "Node display name",
"name": "Repository name",
"reference": "Original repository if forked",
"files": ["GitHub URL or other source location"],
"install_type": "git",
"description": "Description of the node's functionality",
"pip": ["optional pip dependencies"],
"js": ["optional JavaScript files"],
"tags": ["categorization tags"]
}
]
}
```
### extension-node-map.json
```json
{
"extension-id": [
["list", "of", "node", "classes"],
{
"author": "Author name",
"description": "Extension description",
"nodename_pattern": "Optional regex pattern for node name matching"
}
]
}
```
## Transition to Custom Node Registry (CNR)
This local database system is being progressively replaced by the online Custom Node Registry (CNR), which provides:
- Real-time updates without manual JSON maintenance
- Improved versioning support
- Better security validation
- Enhanced metadata
The Manager supports both systems simultaneously during the transition period.
## Implementation Details
- The database follows a channel-based architecture for different sources
- Multiple database modes are supported: Channel, Local, and Remote
- The system supports differential updates to minimize bandwidth usage
- Security levels are enforced for different node installations based on source
## Usage in the Application
The Manager's backend uses these database files to:
1. Provide browsable lists of available nodes and models
2. Resolve dependencies for installation
3. Track updates and new versions
4. Map node classes to their source repositories
5. Assess risk levels for installation security
## Maintenance Scripts
Each subdirectory contains a `scan.sh` script that assists with:
- Scanning repositories for new nodes
- Updating metadata
- Validating database integrity
- Generating proper JSON structures
This database system enables a flexible, secure, and comprehensive management system for the ComfyUI ecosystem while the transition to CNR continues.

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@@ -1,15 +1,5 @@
{ {
"custom_nodes": [ "custom_nodes": [
{
"author": "SanDiegoDude",
"title": "ComfyUI-HiDream-Sampler [WIP]",
"reference": "https://github.com/SanDiegoDude/ComfyUI-HiDream-Sampler",
"files": [
"https://github.com/SanDiegoDude/ComfyUI-HiDream-Sampler"
],
"install_type": "git-clone",
"description": "A collection of enhanced nodes for ComfyUI that provide powerful additional functionality to your workflows.\nNOTE: The files in the repo are not organized."
},
{ {
"author": "PramaLLC", "author": "PramaLLC",
"title": "ComfyUI BEN - Background Erase Network", "title": "ComfyUI BEN - Background Erase Network",

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@@ -11,646 +11,6 @@
{
"author": "syaofox",
"title": "ComfyUI_fnodes [REMOVED]",
"reference": "https://github.com/syaofox/ComfyUI_fnodes",
"files": [
"https://github.com/syaofox/ComfyUI_fnodes"
],
"install_type": "git-clone",
"description": "ComfyUI_fnodes is a collection of custom nodes designed for ComfyUI. These nodes provide additional functionality that can enhance your ComfyUI workflows.\nFile manipulation tools, Image resizing tools, IPAdapter tools, Image processing tools, Mask tools, Face analysis tools, Sampler tools, Miscellaneous tools"
},
{
"author": "Hangover3832",
"title": "ComfyUI-Hangover-Moondream [DEPRECATED]",
"reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Moondream",
"files": [
"https://github.com/Hangover3832/ComfyUI-Hangover-Moondream"
],
"install_type": "git-clone",
"description": "Moondream is a lightweight multimodal large language model.\n[w/WARN:Additional python code will be downloaded from huggingface and executed. You have to trust this creator if you want to use this node!]"
},
{
"author": "Hangover3832",
"title": "Recognize Anything Model (RAM) for ComfyUI [DEPRECATED]",
"reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything",
"files": [
"https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything"
],
"install_type": "git-clone",
"description": "This is an image recognition node for ComfyUI based on the RAM++ model from [a/xinyu1205](https://huggingface.co/xinyu1205).\nThis node outputs a string of tags with all the recognized objects and elements in the image in English or Chinese language.\nFor image tagging and captioning."
},
{
"author": "Hangover3832",
"title": "ComfyUI-Hangover-Nodes [DEPRECATED]",
"reference": "https://github.com/Hangover3832/ComfyUI-Hangover-Nodes",
"files": [
"https://github.com/Hangover3832/ComfyUI-Hangover-Nodes"
],
"install_type": "git-clone",
"description": "Nodes: MS kosmos-2 Interrogator, Save Image w/o Metadata, Image Scale Bounding Box. An implementation of Microsoft [a/kosmos-2](https://huggingface.co/microsoft/kosmos-2-patch14-224) image to text transformer."
},
{
"author": "SirLatore",
"title": "ComfyUI-IPAdapterWAN [REMOVED]",
"reference": "https://github.com/SirLatore/ComfyUI-IPAdapterWAN",
"files": [
"https://github.com/SirLatore/ComfyUI-IPAdapterWAN"
],
"install_type": "git-clone",
"description": "This extension adapts the [a/InstantX IP-Adapter for SD3.5-Large](https://huggingface.co/InstantX/SD3.5-Large-IP-Adapter) to work with Wan 2.1 and other UNet-based video/image models in ComfyUI.\nUnlike the original SD3 version (which depends on joint_blocks from MMDiT), this version performs sampling-time identity conditioning by dynamically injecting into attention layers — making it compatible with models like Wan 2.1, AnimateDiff, and other non-SD3 pipelines."
},
{
"author": "Jpzz",
"title": "ComfyUI-VirtualInteraction [UNSAFE/REMOVED]",
"reference": "https://github.com/Jpzz/ComfyUI-VirtualInteraction",
"files": [
"https://github.com/Jpzz/ComfyUI-VirtualInteraction"
],
"install_type": "git-clone",
"description": "NODES: virtual interaction custom node when using generative movie\n[w/This nodepack contains a node which is reading arbitrary excel file.]"
},
{
"author": "satche",
"title": "Prompt Factory [REMOVED]",
"reference": "https://github.com/satche/comfyui-prompt-factory",
"files": [
"https://github.com/satche/comfyui-prompt-factory"
],
"install_type": "git-clone",
"description": "A modular system that adds randomness to prompt generation"
},
{
"author": "MITCAP",
"title": "ComfyUI OpenAI DALL-E 3 Node [REMOVED]",
"reference": "https://github.com/MITCAP/OpenAI-ComfyUI",
"files": [
"https://github.com/MITCAP/OpenAI-ComfyUI"
],
"install_type": "git-clone",
"description": "This project provides custom nodes for ComfyUI that integrate with OpenAI's DALL-E 3 and GPT-4o models. The nodes allow users to generate images and describe images using OpenAI's API.\nNOTE: The files in the repo are not organized."
},
{
"author": "raspie10032",
"title": "ComfyUI NAI Prompt Converter [REMOVED]",
"reference": "https://github.com/raspie10032/ComfyUI_RS_NAI_Local_Prompt_converter",
"files": [
"https://github.com/raspie10032/ComfyUI_RS_NAI_Local_Prompt_converter"
],
"install_type": "git-clone",
"description": "A custom node extension for ComfyUI that enables conversion between different prompt formats: NovelAI V4, ComfyUI, and old NovelAI."
},
{
"author": "holchan",
"title": "ComfyUI-ModelDownloader [REMOVED]",
"reference": "https://github.com/holchan/ComfyUI-ModelDownloader",
"files": [
"https://github.com/holchan/ComfyUI-ModelDownloader"
],
"install_type": "git-clone",
"description": "A ComfyUI node to download models(Checkpoints and LoRA) from external links and act as an output standalone node."
},
{
"author": "Kur0butiMegane",
"title": "Comfyui-StringUtils [DEPRECATED]",
"reference": "https://github.com/Kur0butiMegane/Comfyui-StringUtils",
"files": [
"https://github.com/Kur0butiMegane/Comfyui-StringUtils"
],
"install_type": "git-clone",
"description": "NODES: Prompt Normalizer, String Splitter, String Line Selector, Extract Markup Value"
},
{
"author": "Apache0ne",
"title": "ComfyUI-LantentCompose [REMOVED]",
"reference": "https://github.com/Apache0ne/ComfyUI-LantentCompose",
"files": [
"https://github.com/Apache0ne/ComfyUI-LantentCompose"
],
"install_type": "git-clone",
"description": "Interpolate sdxl latents using slerp with and without a mask. use with unsample nodes for best effect.\nNOTE: The files in the repo are not organized."
},
{
"author": "jax-explorer",
"title": "ComfyUI-H-flow [REMOVED]",
"reference": "https://github.com/jax-explorer/ComfyUI-H-flow",
"files": [
"https://github.com/jax-explorer/ComfyUI-H-flow"
],
"install_type": "git-clone",
"description": "NODES: Wan2-1 Image To Video, LLM Task, Save Image, Save Video, Show Text, FluxPro Ultra, IdeogramV2 Turbo, Runway Image To Video, Kling Image To Video, Replace Text, Join Text, Test Image, Test Text"
},
{
"author": "Apache0ne",
"title": "SambaNova [REMOVED]",
"id": "SambaNovaAPI",
"reference": "https://github.com/Apache0ne/SambaNova",
"files": [
"https://github.com/Apache0ne/SambaNova"
],
"install_type": "git-clone",
"description": "Super Fast LLM's llama3.1-405B,70B,8B and more"
},
{
"author": "Apache0ne",
"title": "ComfyUI-EasyUrlLoader [REMOVED]",
"id": "easy-url-loader",
"reference": "https://github.com/Apache0ne/ComfyUI-EasyUrlLoader",
"files": [
"https://github.com/Apache0ne/ComfyUI-EasyUrlLoader"
],
"install_type": "git-clone",
"description": "A simple YT downloader node for ComfyUI using video Urls. Can be used with VHS nodes etc."
},
{
"author": "nxt5656",
"title": "ComfyUI-Image2OSS [REMOVED]",
"reference": "https://github.com/nxt5656/ComfyUI-Image2OSS",
"files": [
"https://github.com/nxt5656/ComfyUI-Image2OSS"
],
"install_type": "git-clone",
"description": "Upload the image to Alibaba Cloud OSS."
},
{
"author": "ainewsto",
"title": "Comfyui_Comfly",
"reference": "https://github.com/ainewsto/Comfyui_Comfly",
"files": [
"https://github.com/ainewsto/Comfyui_Comfly"
],
"install_type": "git-clone",
"description": "NODES: Comfly_Mj, Comfly_mjstyle, Comfly_upload, Comfly_Mju, Comfly_Mjv, Comfly_kling_videoPreview\nNOTE: Comfyui_Comfly_v2 is introduced."
},
{
"author": "shinich39",
"title": "comfyui-to-inpaint",
"reference": "https://github.com/shinich39/comfyui-to-inpaint",
"files": [
"https://github.com/shinich39/comfyui-to-inpaint"
],
"install_type": "git-clone",
"description": "Send preview image to inpaint workflow."
},
{
"author": "magic-quill",
"title": "ComfyUI_MagicQuill [NOT MAINTAINED]",
"id": "MagicQuill",
"reference": "https://github.com/magic-quill/ComfyUI_MagicQuill",
"files": [
"https://github.com/magic-quill/ComfyUI_MagicQuill"
],
"install_type": "git-clone",
"description": "Towards GPT-4 like large language and visual assistant.\nNOTE: The current version has not been maintained for a long time and does not work. Please use https://github.com/brantje/ComfyUI_MagicQuill instead."
},
{
"author": "shinich39",
"title": "comfyui-event-handler [USAFE/REMOVED]",
"reference": "https://github.com/shinich39/comfyui-event-handler",
"files": [
"https://github.com/shinich39/comfyui-event-handler"
],
"install_type": "git-clone",
"description": "Javascript code will run when an event fires. [w/This node allows you to execute arbitrary JavaScript code as input for the workflow.]"
},
{
"author": "Moooonet",
"title": "ComfyUI-ArteMoon [REMOVED]",
"reference": "https://github.com/Moooonet/ComfyUI-ArteMoon",
"files": [
"https://github.com/Moooonet/ComfyUI-ArteMoon"
],
"install_type": "git-clone",
"description": "This plugin works with [a/IF_AI_Tools](https://github.com/if-ai/ComfyUI-IF_AI_tools) to build a workflow in ComfyUI that uses AI to assist in generating prompts."
},
{
"author": "ryanontheinside",
"title": "ComfyUI-MediaPipe-Vision [REMOVED]",
"reference": "https://github.com/ryanontheinside/ComfyUI-MediaPipe-Vision",
"files": [
"https://github.com/ryanontheinside/ComfyUI-MediaPipe-Vision"
],
"install_type": "git-clone",
"description": "A centralized wrapper of all MediaPipe vision tasks for ComfyUI."
},
{
"author": "shinich39",
"title": "comfyui-textarea-command [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-textarea-command",
"files": [
"https://github.com/shinich39/comfyui-textarea-command"
],
"install_type": "git-clone",
"description": "Add command and comment in textarea. (e.g. // Disabled line)"
},
{
"author": "shinich39",
"title": "comfyui-parse-image [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-parse-image",
"files": [
"https://github.com/shinich39/comfyui-parse-image"
],
"install_type": "git-clone",
"description": "Extract metadata from image."
},
{
"author": "shinich39",
"title": "comfyui-put-image [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-put-image",
"files": [
"https://github.com/shinich39/comfyui-put-image"
],
"install_type": "git-clone",
"description": "Load image from directory."
},
{
"author": "fredconex",
"title": "TripoSG Nodes for ComfyUI [REMOVED]",
"reference": "https://github.com/fredconex/ComfyUI-TripoSG",
"files": [
"https://github.com/fredconex/ComfyUI-TripoSG"
],
"install_type": "git-clone",
"description": "Created by Alfredo Fernandes inspired by Hunyuan3D nodes by Kijai. This extension adds TripoSG 3D mesh generation capabilities to ComfyUI, allowing you to generate 3D meshes from a single image using the TripoSG model."
},
{
"author": "fredconex",
"title": "ComfyUI-PaintTurbo [REMOVED]",
"reference": "https://github.com/fredconex/ComfyUI-PaintTurbo",
"files": [
"https://github.com/fredconex/ComfyUI-PaintTurbo"
],
"install_type": "git-clone",
"description": "NODES: Hunyuan3D Texture Mesh"
},
{
"author": "zhuanqianfish",
"title": "TaesdDecoder [REMOVED]",
"reference": "https://github.com/zhuanqianfish/TaesdDecoder",
"files": [
"https://github.com/zhuanqianfish/TaesdDecoder"
],
"install_type": "git-clone",
"description": "use TAESD decoded image.you need donwload taesd_decoder.pth and taesdxl_decoder.pth to vae_approx folder first.\n It will result in a slight loss of image quality and a significant decrease in peak video memory during decoding."
},
{
"author": "myAiLemon",
"title": "MagicAutomaticPicture [REMOVED]",
"reference": "https://github.com/myAiLemon/MagicAutomaticPicture",
"files": [
"https://github.com/myAiLemon/MagicAutomaticPicture"
],
"install_type": "git-clone",
"description": "A comfyui node package that can generate pictures and automatically save positive prompts and eliminate unwanted prompts"
},
{
"author": "thisiseddy-ab",
"title": "ComfyUI-Edins-Ultimate-Pack [REMOVED]",
"reference": "https://github.com/thisiseddy-ab/ComfyUI-Edins-Ultimate-Pack",
"files": [
"https://github.com/thisiseddy-ab/ComfyUI-Edins-Ultimate-Pack"
],
"install_type": "git-clone",
"description": "Well i needet a Tiled Ksampler that still works for Comfy UI there were none so i made one, in this Package i will put all Nodes i will develop for Comfy Ui still in beta alot will change.."
},
{
"author": "Davros666",
"title": "safetriggers [REMOVED]",
"reference": "https://github.com/Davros666/safetriggers",
"files": [
"https://github.com/Davros666/safetriggers"
],
"install_type": "git-clone",
"description": "ComfyUI Nodes for READING TRIGGERS, TRIGGER-WORDS, TRIGGER-PHRASES FROM LoRAs"
},
{
"author": "cubiq",
"title": "Simple Math [REMOVED]",
"id": "simplemath",
"reference": "https://github.com/cubiq/ComfyUI_SimpleMath",
"files": [
"https://github.com/cubiq/ComfyUI_SimpleMath"
],
"install_type": "git-clone",
"description": "custom node for ComfyUI to perform simple math operations"
},
{
"author": "lucafoscili",
"title": "LF Nodes [DEPRECATED]",
"reference": "https://github.com/lucafoscili/comfyui-lf",
"files": [
"https://github.com/lucafoscili/comfyui-lf"
],
"install_type": "git-clone",
"description": "Custom nodes with a touch of extra UX, including: history for primitives, JSON manipulation, logic switches with visual feedback, LLM chat... and more!"
},
{
"author": "AI2lab",
"title": "comfyUI-tool-2lab [REMOVED]",
"id": "tool-2lab",
"reference": "https://github.com/AI2lab/comfyUI-tool-2lab",
"files": [
"https://github.com/AI2lab/comfyUI-tool-2lab"
],
"install_type": "git-clone",
"description": "tool set for developing workflow and publish to web api server"
},
{
"author": "AI2lab",
"title": "comfyUI-DeepSeek-2lab [REMOVED]",
"id": "deepseek",
"reference": "https://github.com/AI2lab/comfyUI-DeepSeek-2lab",
"files": [
"https://github.com/AI2lab/comfyUI-DeepSeek-2lab"
],
"install_type": "git-clone",
"description": "Unofficial implementation of DeepSeek for ComfyUI"
},
{
"author": "AI2lab",
"title": "comfyUI-kling-api-2lab [REMOVED]",
"reference": "https://github.com/AI2lab/comfyUI-kling-api-2lab",
"files": [
"https://github.com/AI2lab/comfyUI-kling-api-2lab"
],
"install_type": "git-clone",
"description": "Unofficial implementation of KLing for ComfyUI"
},
{
"author": "ZhiHui6",
"title": "comfyui_zhihui_nodes [REMOVED]",
"reference": "https://github.com/ZhiHui6/comfyui_zhihui_nodes",
"files": [
"https://github.com/ZhiHui6/comfyui_zhihui_nodes"
],
"install_type": "git-clone",
"description": "NODES: Prompt Preset, Video Batch Loader, Video Combiner"
},
{
"author": "ImagineerNL",
"title": "comfyui_potrace_svg [REMOVED]",
"reference": "https://github.com/ImagineerNL/comfyui_potrace_svg",
"files": [
"https://github.com/ImagineerNL/comfyui_potrace_svg"
],
"install_type": "git-clone",
"description": "This project converts raster images into SVG format using the Potrace library."
},
{
"author": "kayselmecnun",
"title": "ComfyUI-Qwen-25-VL [REMOVED]",
"reference": "https://github.com/kayselmecnun/ComfyUI-Qwen-25-VL",
"files": [
"https://github.com/kayselmecnun/ComfyUI-Qwen-25-VL"
],
"install_type": "git-clone",
"description": "A custom Comfy UI node for using Qwen2.5-VL-3B/7B-Instruct models"
},
{
"author": "IfnotFr",
"title": "⚡ ComfyUI Connect [REMOVED]",
"reference": "https://github.com/IfnotFr/ComfyUI-Connect",
"files": [
"https://github.com/IfnotFr/ComfyUI-Connect"
],
"install_type": "git-clone",
"description": "Transform your ComfyUI into a powerful API, exposing all your saved workflows as ready-to-use HTTP endpoints."
},
{
"author": "ginlov",
"title": "segment_to_mask_comfyui [REMOVED]",
"reference": "https://github.com/ginlov/segment_to_mask_comfyui",
"files": [
"https://github.com/ginlov/segment_to_mask_comfyui"
],
"install_type": "git-clone",
"description": "Nodes:SegToMask"
},
{
"author": "TGu-97",
"title": "TGu Utilities [REMOVED]",
"id": "tgu",
"reference": "https://github.com/TGu-97/ComfyUI-TGu-utils",
"files": [
"https://github.com/TGu-97/ComfyUI-TGu-utils"
],
"install_type": "git-clone",
"description": "Nodes: MPN Switch, MPN Reroute, PN Switch. This is a set of custom nodes for ComfyUI. Mainly focus on control switches."
},
{
"author": "IfnotFr",
"title": "ComfyUI-Connect [REMOVED]",
"reference": "https://github.com/IfnotFr/ComfyUI-Connect",
"files": [
"https://github.com/IfnotFr/ComfyUI-Connect"
],
"install_type": "git-clone",
"description": "Transform your ComfyUI into a powerful API, exposing all your saved workflows as ready-to-use HTTP endpoints."
},
{
"author": "KurtHokke",
"title": "ComfyUI_KurtHokke-Nodes [REMOVED]",
"reference": "https://github.com/KurtHokke/ComfyUI_KurtHokke-Nodes",
"files": [
"https://github.com/KurtHokke/ComfyUI_KurtHokke-Nodes"
],
"install_type": "git-clone",
"description": "ComfyUI_KurtHokke-Nodes"
},
{
"author": "SpatialDeploy",
"title": "ComfyUI-Voxels [REMOVED]",
"reference": "https://github.com/SpatialDeploy/ComfyUI-Voxels",
"files": [
"https://github.com/SpatialDeploy/ComfyUI-Voxels"
],
"install_type": "git-clone",
"description": "Tools for creating voxel based videos"
},
{
"author": "shinich39",
"title": "comfyui-group-selection [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-group-selection",
"files": [
"https://github.com/shinich39/comfyui-group-selection"
],
"install_type": "git-clone",
"description": "Create a new group of nodes."
},
{
"author": "shinich39",
"title": "connect-from-afar [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-connect-from-afar",
"files": [
"https://github.com/shinich39/comfyui-connect-from-afar"
],
"install_type": "git-clone",
"description": "Connect a new link from out of screen."
},
{
"author": "shinich39",
"title": "comfyui-local-db [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-local-db",
"files": [
"https://github.com/shinich39/comfyui-local-db"
],
"install_type": "git-clone",
"description": "Store text to Key-Values pair json."
},
{
"author": "shinich39",
"title": "comfyui-model-db [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-model-db",
"files": [
"https://github.com/shinich39/comfyui-model-db"
],
"install_type": "git-clone",
"description": "Store settings by model."
},
{
"author": "shinich39",
"title": "comfyui-target-search [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-target-search",
"files": [
"https://github.com/shinich39/comfyui-target-search"
],
"install_type": "git-clone",
"description": "Move canvas to target on dragging connection."
},
{
"author": "chrisgoringe",
"title": "Image chooser [DEPRECATED]",
"id": "image-chooser",
"reference": "https://github.com/chrisgoringe/cg-image-picker",
"files": [
"https://github.com/chrisgoringe/cg-image-picker"
],
"install_type": "git-clone",
"description": "A custom node that pauses the flow while you choose which image (or latent) to pass on to the rest of the workflow."
},
{
"author": "weilin9999",
"title": "WeiLin-ComfyUI-prompt-all-in-one [DEPRECATED]",
"id": "prompt-all-in-one",
"reference": "https://github.com/weilin9999/WeiLin-ComfyUI-prompt-all-in-one",
"files": [
"https://github.com/weilin9999/WeiLin-ComfyUI-prompt-all-in-one"
],
"install_type": "git-clone",
"description": "Write prompt words like WebUI"
},
{
"author": "svetozarov",
"title": "AS_GeminiCaptioning Node [REMOVED]",
"reference": "https://github.com/svetozarov/AS_GeminiCaptioning",
"files": [
"https://github.com/svetozarov/AS_GeminiCaptioning"
],
"install_type": "git-clone",
"description": "A ComfyUI node that combines an image with simple text parameters to create a prompt, sends it to the Google Gemini API via the google-generativeai SDK, and returns the generated text response along with the original prompt and an execution log"
},
{
"author": "shinich39",
"title": "comfyui-load-image-in-seq [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-load-image-in-seq",
"files": [
"https://github.com/shinich39/comfyui-load-image-in-seq"
],
"install_type": "git-clone",
"description": "This node is load png image sequentially with metadata. Only supported for PNG format that has been created by ComfyUI.[w/renamed from comfyui-load-image-39. You need to remove previous one and reinstall to this.]"
},
{
"author": "shinich39",
"title": "comfyui-model-metadata [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-model-metadata",
"files": [
"https://github.com/shinich39/comfyui-model-metadata"
],
"install_type": "git-clone",
"description": "Print model metadata on note node"
},
{
"author": "shinich39",
"title": "comfyui-view-recommendations [REMOVED]",
"reference": "https://github.com/shinich39/comfyui-view-recommendations",
"files": [
"https://github.com/shinich39/comfyui-view-recommendations"
],
"install_type": "git-clone",
"description": "Load model generation data from civitai."
},
{
"author": "jonstreeter",
"title": "Comfyui-PySceneDetect [REMOVED]",
"reference": "https://github.com/jonstreeter/Comfyui-PySceneDetect",
"files": [
"https://github.com/jonstreeter/Comfyui-PySceneDetect"
],
"install_type": "git-clone",
"description": "NODES: PySceneDetect Video Processor"
},
{
"author": "muxueChen",
"title": "ComfyUI-NTQwen25-VL [REMOVED]",
"reference": "https://github.com/muxueChen/ComfyUI-NTQwen25-VL",
"files": [
"https://github.com/muxueChen/ComfyUI-NTQwen25-VL"
],
"install_type": "git-clone",
"description": "Qwen25-VL is a plugin for ComfyU"
},
{
"author": "Makki_Shizu",
"title": "ComfyUI-SaveAnimatedGIF [DEPRECATED]",
"id": "SaveAnimatedGIF",
"reference": "https://github.com/MakkiShizu/ComfyUI-SaveAnimatedGIF",
"files": [
"https://github.com/MakkiShizu/ComfyUI-SaveAnimatedGIF"
],
"install_type": "git-clone",
"description": "Save animated GIF format nodes in ComfyUI"
},
{
"author": "l1yongch1",
"title": "ComfyUI_PhiCaption [REMOVED]",
"reference": "https://github.com/l1yongch1/ComfyUI_PhiCaption",
"files": [
"https://github.com/l1yongch1/ComfyUI_PhiCaption"
],
"install_type": "git-clone",
"description": "In addition to achieving conventional single-image, single-round reverse engineering, it can also achieve single-image multi-round and multi-image single-round reverse engineering. Moreover, the Phi model has a better understanding of prompts."
},
{
"author": "nova-florealis",
"title": "comfyui-alien [REMOVED]",
"reference": "https://github.com/nova-florealis/comfyui-alien",
"files": [
"https://github.com/nova-florealis/comfyui-alien"
],
"install_type": "git-clone",
"description": "NODES: Text to Text (LLM), Text Output, Convert to Markdown, List Display (Debug)"
},
{
"author": "PluMaZero",
"title": "ComfyUI-SpaceFlower [REMOVED]",
"reference": "https://github.com/PluMaZero/ComfyUI-SpaceFlower",
"files": [
"https://github.com/PluMaZero/ComfyUI-SpaceFlower"
],
"install_type": "git-clone",
"description": "Nodes: SpaceFlower_Prompt, SpaceFlower_HangulPrompt, ..."
},
{
"author": "vahidzxc",
"title": "ComfyUI-My-Handy-Nodes [REMOVED]",
"reference": "https://github.com/vahidzxc/ComfyUI-My-Handy-Nodes",
"files": [
"https://github.com/vahidzxc/ComfyUI-My-Handy-Nodes"
],
"install_type": "git-clone",
"description": "NODES:VahCropImage"
},
{ {
"author": "Samulebotin", "author": "Samulebotin",
"title": "ComfyUI-FreeVC_wrapper [REMOVED]", "title": "ComfyUI-FreeVC_wrapper [REMOVED]",

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@@ -1,309 +1,5 @@
{ {
"models": [ "models": [
{
"name": "Latent Bridge Matching for Image Relighting",
"type": "diffusion_model",
"base": "LBM",
"save_path": "diffusion_models/LBM",
"description": "Latent Bridge Matching (LBM) Relighting model",
"reference": "https://huggingface.co/jasperai/LBM_relighting",
"filename": "LBM_relighting.safetensors",
"url": "https://huggingface.co/jasperai/LBM_relighting/resolve/main/model.safetensors",
"size": "5.02GB"
},
{
"name": "LTX-Video 13B Distilled v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Distilled version of the LTX-Video 13B model, providing improved efficiency while maintaining high-resolution quality.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-distilled.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled.safetensors",
"size": "28.6GB"
},
{
"name": "LTX-Video 13B Distilled FP8 v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Quantized distilled version of the LTX-Video 13B model, optimized for even lower VRAM usage while maintaining quality.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-distilled-fp8.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled-fp8.safetensors",
"size": "15.7GB"
},
{
"name": "LTX-Video 13B Distilled LoRA v0.9.7",
"type": "lora",
"base": "LTX-Video",
"save_path": "loras",
"description": "A LoRA adapter that transforms the standard LTX-Video 13B model into a distilled version when loaded.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-distilled-lora128.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled-lora128.safetensors",
"size": "1.33GB"
},
{
"name": "lllyasviel/FramePackI2V_HY",
"type": "FramePackI2V",
"base": "FramePackI2V",
"save_path": "diffusers/lllyasviel",
"description": "[SNAPSHOT] This is the f1k1_x_g9_f1k1f2k2f16k4_td FramePack for HY. [w/You cannot download this item on ComfyUI-Manager versions below V3.18]",
"reference": "https://huggingface.co/lllyasviel/FramePackI2V_HY",
"filename": "<huggingface>",
"url": "lllyasviel/FramePackI2V_HY",
"size": "25.75GB"
},
{
"name": "LTX-Video Spatial Upscaler v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Spatial upscaler model for LTX-Video. This model enhances the spatial resolution of generated videos.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-spatial-upscaler-0.9.7.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-spatial-upscaler-0.9.7.safetensors",
"size": "505MB"
},
{
"name": "LTX-Video Temporal Upscaler v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Temporal upscaler model for LTX-Video. This model enhances the temporal resolution and smoothness of generated videos.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-temporal-upscaler-0.9.7.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-temporal-upscaler-0.9.7.safetensors",
"size": "524MB"
},
{
"name": "LTX-Video 13B v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "High-resolution quality LTX-Video 13B model.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-dev.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-dev.safetensors",
"size": "28.6GB"
},
{
"name": "LTX-Video 13B FP8 v0.9.7",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Quantized version of the LTX-Video 13B model, optimized for lower VRAM usage while maintaining high quality.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.7-dev-fp8.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-dev-fp8.safetensors",
"size": "15.7GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 480p 14B (bf16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 480p 14B (bf16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_480p_14B_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_bf16.safetensors",
"size": "32.8GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 480p 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 480p 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_480p_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_fp16.safetensors",
"size": "32.8GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 480p 14B (fp8_e4m3fn)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 480p 14B (fp8_e4m3fn)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_480p_14B_fp8_e4m3fn.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_fp8_e4m3fn.safetensors",
"size": "16.4GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 480p 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 480p 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_480p_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_fp8_scaled.safetensors",
"size": "16.4GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 720p 14B (bf16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 720p 14B (bf16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_720p_14B_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_720p_14B_bf16.safetensors",
"size": "32.8GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 720p 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 720p 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_720p_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_720p_14B_fp16.safetensors",
"size": "32.8GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 720p 14B (fp8_e4m3fn)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 720p 14B (fp8_e4m3fn)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors",
"size": "16.4GB"
},
{
"name": "Comfy-Org/Wan2.1 i2v 720p 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for i2v 720p 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_i2v_720p_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_720p_14B_fp8_scaled.safetensors",
"size": "16.4GB"
},
{
"name": "Comfy-Org/clip_vision_h.safetensors",
"type": "clip_vision",
"base": "clip_vision_h",
"save_path": "clip_vision",
"description": "clip_vision_h model for Wan2.1",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "clip_vision_h.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors",
"size": "1.26GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 1.3B (bf16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 1.3B (bf16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_1.3B_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_bf16.safetensors",
"size": "2.84GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 1.3B (fp16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 1.3B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_1.3B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_fp16.safetensors",
"size": "2.84GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 14B (bf16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 14B (bf16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_14B_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_bf16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 14B (fp8_e4m3fn)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 14B (fp8_e4m3fn)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_14B_fp8_e4m3fn.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_fp8_e4m3fn.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.1 t2v 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.1",
"save_path": "diffusion_models/Wan2.1",
"description": "Wan2.1 difussion model for t2v 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan2.1_t2v_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.1 VAE",
"type": "vae",
"base": "Wan2.1",
"save_path": "vae",
"description": "Wan2.1 VAE model",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "wan_2.1_vae.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors",
"size": "254MB"
},
{
"name": "Comfy-Org/umt5_xxl_fp16.safetensors",
"type": "clip",
"base": "umt5_xxl",
"save_path": "text_encoders",
"description": "umt5_xxl_fp16 text encoder for Wan2.1",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "umt5_xxl_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp16.safetensors",
"size": "11.4GB"
},
{
"name": "Comfy-Org/umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"type": "clip",
"base": "umt5_xxl",
"save_path": "text_encoders",
"description": "umt5_xxl_fp8_e4m3fn_scaled text encoder for Wan2.1",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged",
"filename": "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"size": "6.74GB"
},
{ {
"name": "Comfy-Org/hunyuan_video_image_to_video_720p_bf16.safetensors", "name": "Comfy-Org/hunyuan_video_image_to_video_720p_bf16.safetensors",
"type": "diffusion_model", "type": "diffusion_model",
@@ -691,6 +387,349 @@
"filename": "sigclip_vision_patch14_384.safetensors", "filename": "sigclip_vision_patch14_384.safetensors",
"url": "https://huggingface.co/Comfy-Org/sigclip_vision_384/resolve/main/sigclip_vision_patch14_384.safetensors", "url": "https://huggingface.co/Comfy-Org/sigclip_vision_384/resolve/main/sigclip_vision_patch14_384.safetensors",
"size": "857MB" "size": "857MB"
},
{
"name": "comfyanonymous/flux_text_encoders - t5xxl (fp16)",
"type": "clip",
"base": "t5",
"save_path": "text_encoders/t5",
"description": "Text Encoders for FLUX (fp16)",
"reference": "https://huggingface.co/comfyanonymous/flux_text_encoders",
"filename": "t5xxl_fp16.safetensors",
"url": "https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors",
"size": "9.79GB"
},
{
"name": "comfyanonymous/flux_text_encoders - t5xxl (fp8_e4m3fn)",
"type": "clip",
"base": "t5",
"save_path": "text_encoders/t5",
"description": "Text Encoders for FLUX (fp8_e4m3fn)",
"reference": "https://huggingface.co/comfyanonymous/flux_text_encoders",
"filename": "t5xxl_fp8_e4m3fn.safetensors",
"url": "https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn.safetensors",
"size": "4.89GB"
},
{
"name": "comfyanonymous/flux_text_encoders - t5xxl (fp8_e4m3fn_scaled)",
"type": "clip",
"base": "t5",
"save_path": "text_encoders/t5",
"description": "Text Encoders for FLUX (fp16)",
"reference": "https://huggingface.co/comfyanonymous/flux_text_encoders",
"filename": "t5xxl_fp8_e4m3fn_scaled.safetensors",
"url": "https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors",
"size": "5.16GB"
},
{
"name": "FLUX.1 [Dev] Diffusion model (scaled fp8)",
"type": "diffusion_model",
"base": "FLUX.1",
"save_path": "diffusion_models/FLUX1",
"description": "FLUX.1 [Dev] Diffusion model (scaled fp8)[w/Due to the large size of the model, it is recommended to download it through a browser if possible.]",
"reference": "https://huggingface.co/comfyanonymous/flux_dev_scaled_fp8_test",
"filename": "flux_dev_fp8_scaled_diffusion_model.safetensors",
"url": "https://huggingface.co/comfyanonymous/flux_dev_scaled_fp8_test/resolve/main/flux_dev_fp8_scaled_diffusion_model.safetensors",
"size": "11.9GB"
},
{
"name": "kijai/MoGe_ViT_L_fp16.safetensors",
"type": "MoGe",
"base": "MoGe",
"save_path": "MoGe",
"description": "Safetensors versions of [a/https://github.com/microsoft/MoGe](https://github.com/microsoft/MoGe)",
"reference": "https://huggingface.co/Kijai/MoGe_safetensors",
"filename": "MoGe_ViT_L_fp16.safetensors",
"url": "https://huggingface.co/Kijai/MoGe_safetensors/resolve/main/MoGe_ViT_L_fp16.safetensors",
"size": "628MB"
},
{
"name": "kijai/MoGe_ViT_L_fp16.safetensors",
"type": "MoGe",
"base": "MoGe",
"save_path": "MoGe",
"description": "Safetensors versions of [a/https://github.com/microsoft/MoGe](https://github.com/microsoft/MoGe)",
"reference": "https://huggingface.co/Kijai/MoGe_safetensors",
"filename": "MoGe_ViT_L_fp16.safetensors",
"url": "https://huggingface.co/Kijai/MoGe_safetensors/resolve/main/MoGe_ViT_L_fp16.safetensors",
"size": "1.26GB"
},
{
"name": "pulid_flux_v0.9.1.safetensors",
"type": "PuLID",
"base": "FLUX",
"save_path": "pulid",
"description": "This is required for PuLID (FLUX)",
"reference": "https://huggingface.co/guozinan/PuLID",
"filename": "pulid_flux_v0.9.1.safetensors",
"url": "https://huggingface.co/guozinan/PuLID/resolve/main/pulid_flux_v0.9.1.safetensors",
"size": "1.14GB"
},
{
"name": "pulid_v1.1.safetensors",
"type": "PuLID",
"base": "SDXL",
"save_path": "pulid",
"description": "This is required for PuLID (SDXL)",
"reference": "https://huggingface.co/guozinan/PuLID",
"filename": "pulid_v1.1.safetensors",
"url": "https://huggingface.co/guozinan/PuLID/resolve/main/pulid_v1.1.safetensors",
"size": "984MB"
},
{
"name": "Kolors-IP-Adapter-Plus.bin (Kwai-Kolors/Kolors-IP-Adapter-Plus)",
"type": "IP-Adapter",
"base": "Kolors",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-Plus",
"filename": "Kolors-IP-Adapter-Plus.bin",
"url": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-Plus/resolve/main/ip_adapter_plus_general.bin",
"size": "1.01GB"
},
{
"name": "Kolors-IP-Adapter-FaceID-Plus.bin (Kwai-Kolors/Kolors-IP-Adapter-Plus)",
"type": "IP-Adapter",
"base": "Kolors",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-FaceID-Plus",
"filename": "Kolors-IP-Adapter-FaceID-Plus.bin",
"url": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-FaceID-Plus/resolve/main/ipa-faceid-plus.bin",
"size": "2.39GB"
},
{
"name": "CLIPVision model (Kwai-Kolors/Kolors-IP-Adapter-Plus/clip-vit-large)",
"type": "clip_vision",
"base": "ViT-L",
"save_path": "clip_vision",
"description": "CLIPVision model (This is required in cubiq/ComfyUI_IPAdapter_plus)",
"reference": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-Plus",
"filename": "clip-vit-large-patch14-336.bin",
"url": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-Plus/resolve/main/image_encoder/pytorch_model.bin",
"size": "1.71GB"
},
{
"name": "kijai/lotus depth d model v1.1 (fp16)",
"type": "diffusion_model",
"base": "lotus",
"save_path": "diffusion_models",
"description": "lotus depth d model v1.1 (fp16). This model can be used in ComfyUI-Lotus custom nodes.",
"reference": "https://huggingface.co/Kijai/lotus-comfyui",
"filename": "lotus-depth-d-v-1-1-fp16.safetensors",
"url": "https://huggingface.co/Kijai/lotus-comfyui/resolve/main/lotus-depth-d-v-1-1-fp16.safetensors",
"size": "1.74GB"
},
{
"name": "kijai/lotus depth g model v1.0 (fp16)",
"type": "diffusion_model",
"base": "lotus",
"save_path": "diffusion_models",
"description": "lotus depth g model v1.0 (fp16). This model can be used in ComfyUI-Lotus custom nodes.",
"reference": "https://huggingface.co/Kijai/lotus-comfyui",
"filename": "lotus-depth-g-v1-0-fp16.safetensors",
"url": "https://huggingface.co/Kijai/lotus-comfyui/resolve/main/lotus-depth-g-v1-0-fp16.safetensors",
"size": "1.74GB"
},
{
"name": "kijai/lotus depth g model v1.0",
"type": "diffusion_model",
"base": "lotus",
"save_path": "diffusion_models",
"description": "lotus depth g model v1.0. This model can be used in ComfyUI-Lotus custom nodes.",
"reference": "https://huggingface.co/Kijai/lotus-comfyui",
"filename": "lotus-depth-g-v1-0.safetensors",
"url": "https://huggingface.co/Kijai/lotus-comfyui/resolve/main/lotus-depth-g-v1-0.safetensors",
"size": "3.47GB"
},
{
"name": "kijai/lotus normal d model v1.0 (fp16)",
"type": "diffusion_model",
"base": "lotus",
"save_path": "diffusion_models",
"description": "lotus normal d model v1.0 (fp16). This model can be used in ComfyUI-Lotus custom nodes.",
"reference": "https://huggingface.co/Kijai/lotus-comfyui",
"filename": "lotus-normal-d-v1-0-fp16.safetensors",
"url": "https://huggingface.co/Kijai/lotus-comfyui/resolve/main/lotus-normal-d-v1-0-fp16.safetensors",
"size": "1.74GB"
},
{
"name": "kijai/lotus normal d model v1.0",
"type": "diffusion_model",
"base": "lotus",
"save_path": "diffusion_models",
"description": "lotus normal d model v1.0. This model can be used in ComfyUI-Lotus custom nodes.",
"reference": "https://huggingface.co/Kijai/lotus-comfyui",
"filename": "lotus-normal-d-v1-0.safetensors",
"url": "https://huggingface.co/Kijai/lotus-comfyui/resolve/main/lotus-normal-d-v1-0.safetensors",
"size": "3.47GB"
},
{
"name": "kijai/lotus normal g model v1.0 (fp16)",
"type": "diffusion_model",
"base": "lotus",
"save_path": "diffusion_models",
"description": "lotus normal g model v1.0 (fp16). This model can be used in ComfyUI-Lotus custom nodes.",
"reference": "https://huggingface.co/Kijai/lotus-comfyui",
"filename": "lotus-normal-g-v1-0-fp16.safetensors",
"url": "https://huggingface.co/Kijai/lotus-comfyui/resolve/main/lotus-normal-g-v1-0-fp16.safetensors",
"size": "1.74GB"
},
{
"name": "kijai/lotus normal g model v1.0",
"type": "diffusion_model",
"base": "lotus",
"save_path": "diffusion_models",
"description": "lotus normal g model v1.0. This model can be used in ComfyUI-Lotus custom nodes.",
"reference": "https://huggingface.co/Kijai/lotus-comfyui",
"filename": "lotus-normal-g-v1-0.safetensors",
"url": "https://huggingface.co/Kijai/lotus-comfyui/resolve/main/lotus-normal-g-v1-0.safetensors",
"size": "3.47GB"
},
{
"name": "Depth Pro model",
"type": "depth-pro",
"base": "depth-pro",
"save_path": "depth/ml-depth-pro",
"description": "Depth pro model for [a/ComfyUI-Depth-Pro](https://github.com/spacepxl/ComfyUI-Depth-Pro)",
"reference": "https://huggingface.co/spacepxl/ml-depth-pro",
"filename": "depth_pro.fp16.safetensors",
"url": "https://huggingface.co/spacepxl/ml-depth-pro/resolve/main/depth_pro.fp16.safetensors",
"size": "1.9GB"
},
{
"name": "jasperai/FLUX.1-dev-Controlnet-Upscaler",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "controlnet/FLUX.1/jasperai-dev-Upscaler",
"description": "This is Flux.1-dev ControlNet for low resolution images developed by Jasper research team.",
"reference": "https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Upscaler",
"filename": "diffusion_pytorch_model.safetensors",
"url": "https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Upscaler/resolve/main/diffusion_pytorch_model.safetensors",
"size": "3.58GB"
},
{
"name": "jasperai/FLUX.1-dev-Controlnet-Depth",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "controlnet/FLUX.1/jasperai-dev-Depth",
"description": "This is Flux.1-dev ControlNet for Depth map developed by Jasper research team.",
"reference": "https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Depth",
"filename": "diffusion_pytorch_model.safetensors",
"url": "https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Depth/resolve/main/diffusion_pytorch_model.safetensors",
"size": "3.58GB"
},
{
"name": "jasperai/Flux.1-dev-Controlnet-Surface-Normals",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "controlnet/FLUX.1/jasperai-dev-Surface-Normals",
"description": "This is Flux.1-dev ControlNet for Surface Normals map developed by Jasper research team.",
"reference": "https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Surface-Normals",
"filename": "diffusion_pytorch_model.safetensors",
"url": "https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Surface-Normals/resolve/main/diffusion_pytorch_model.safetensors",
"size": "3.58GB"
},
{
"name": "Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro (fp8_e4m3fn) by Kijai",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "controlnet/FLUX.1",
"description": "FLUX.1 [Dev] Union Controlnet. Supports Canny, Tile, Depth, Blur, Pose, Gray, Low Quality\nVersion quantized to fp8_e4m3fn by Kijai",
"reference": "https://huggingface.co/Kijai/flux-fp8",
"filename": "flux_shakker_labs_union_pro-fp8_e4m3fn.safetensors",
"url": "https://huggingface.co/Kijai/flux-fp8/resolve/main/flux_shakker_labs_union_pro-fp8_e4m3fn.safetensors",
"size": "3.3GB"
},
{
"name": "ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors [Long CLIP L]",
"type": "clip",
"base": "clip",
"save_path": "text_encoders/long_clip",
"description": "Greatly improved TEXT + Detail (as CLIP-L for Flux.1)",
"reference": "https://huggingface.co/zer0int",
"filename": "ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors",
"url": "https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/resolve/main/ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors",
"size": "931MB"
},
{
"name": "ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors [Long CLIP L]",
"type": "clip",
"base": "clip",
"save_path": "text_encoders/long_clip",
"description": "Greatly improved TEXT + Detail (as CLIP-L for Flux.1)",
"reference": "https://huggingface.co/zer0int",
"filename": "ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors",
"url": "https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/resolve/main/ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors",
"size": "323MB"
},
{
"name": "Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "controlnet/FLUX.1/Shakker-Labs-ControlNet-Union-Pro",
"description": "FLUX.1 [Dev] Union Controlnet. Supports Canny, Tile, Depth, Blur, Pose, Gray, Low Quality",
"reference": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro",
"filename": "diffusion_pytorch_model.safetensors",
"url": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro/resolve/main/diffusion_pytorch_model.safetensors",
"size": "6.6GB"
},
{
"name": "Hyper-SD LoRA (8steps) - FLUX.1 [Dev]",
"type": "lora",
"base": "FLUX.1",
"save_path": "loras/HyperSD/FLUX.1",
"description": "Hyper-SD LoRA (8steps) - FLUX.1 [Dev]",
"reference": "https://huggingface.co/ByteDance/Hyper-SD",
"filename": "Hyper-FLUX.1-dev-8steps-lora.safetensors",
"url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-8steps-lora.safetensors",
"size": "1.39GB"
},
{
"name": "Hyper-SD LoRA (16steps) - FLUX.1 [Dev]",
"type": "lora",
"base": "FLUX.1",
"save_path": "loras/HyperSD/FLUX.1",
"description": "Hyper-SD LoRA (16steps) - FLUX.1 [Dev]",
"reference": "https://huggingface.co/ByteDance/Hyper-SD",
"filename": "Hyper-FLUX.1-dev-16steps-lora.safetensors",
"url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-16steps-lora.safetensors",
"size": "1.39GB"
},
{
"name": "DMD2 LoRA (4steps)",
"type": "lora",
"base": "SDXL",
"save_path": "loras/DMD2",
"description": "DMD2 LoRA (4steps)",
"reference": "https://huggingface.co/tianweiy/DMD2",
"filename": "dmd2_sdxl_4step_lora.safetensors",
"url": "https://huggingface.co/tianweiy/DMD2/resolve/main/dmd2_sdxl_4step_lora.safetensors",
"size": "787MB"
},
{
"name": "DMD2 LoRA (4steps/fp16)",
"type": "lora",
"base": "SDXL",
"save_path": "loras/DMD2",
"description": "DMD2 LoRA (4steps/fp16)",
"reference": "https://huggingface.co/tianweiy/DMD2",
"filename": "dmd2_sdxl_4step_lora_fp16.safetensors",
"url": "https://huggingface.co/tianweiy/DMD2/resolve/main/dmd2_sdxl_4step_lora_fp16.safetensors",
"size": "394MB"
} }
] ]
} }

View File

@@ -1,15 +1,5 @@
{ {
"custom_nodes": [ "custom_nodes": [
{
"author": "Comfy-Org",
"title": "ComfyUI React Extension Template",
"reference": "https://github.com/Comfy-Org/ComfyUI-React-Extension-Template",
"files": [
"https://github.com/Comfy-Org/ComfyUI-React-Extension-Template"
],
"install_type": "git-clone",
"description": "A minimal template for creating React/TypeScript frontend extensions for ComfyUI, with complete boilerplate setup including internationalization and unit testing."
},
{ {
"author": "Suzie1", "author": "Suzie1",
"title": "Guide To Making Custom Nodes in ComfyUI", "title": "Guide To Making Custom Nodes in ComfyUI",
@@ -321,16 +311,6 @@
], ],
"description": "ComfyUI node for creating some Turtle Graphic demos.", "description": "ComfyUI node for creating some Turtle Graphic demos.",
"install_type": "git-clone" "install_type": "git-clone"
},
{
"author": "cozy-comfyui",
"title": "cozy_ex_dynamic",
"reference": "https://github.com/cozy-comfyui/cozy_ex_dynamic",
"files": [
"https://github.com/cozy-comfyui/cozy_ex_dynamic"
],
"description": "Dynamic Node examples for ComfyUI",
"install_type": "git-clone"
} }
] ]
} }

View File

@@ -21,27 +21,24 @@ import cm_global
import manager_downloader import manager_downloader
import folder_paths import folder_paths
manager_util.add_python_path_to_env() import datetime
if hasattr(datetime, 'datetime'):
import datetime as dt from datetime import datetime
if hasattr(dt, 'datetime'):
from datetime import datetime as dt_datetime
def current_timestamp(): def current_timestamp():
return dt_datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3] return datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]
else: else:
# NOTE: Occurs in some Mac environments. # NOTE: Occurs in some Mac environments.
import time import time
logging.error(f"[ComfyUI-Manager] fallback timestamp mode\n datetime module is invalid: '{dt.__file__}'") logging.error(f"[ComfyUI-Manager] fallback timestamp mode\n datetime module is invalid: '{datetime.__file__}'")
def current_timestamp(): def current_timestamp():
return str(time.time()).split('.')[0] return str(time.time()).split('.')[0]
security_check.security_check() security_check.security_check()
cm_global.pip_blacklist = {'torch', 'torchaudio', 'torchsde', 'torchvision'} manager_util.add_python_path_to_env()
cm_global.pip_downgrade_blacklist = ['torch', 'torchaudio', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia']
cm_global.pip_blacklist = {'torch', 'torchsde', 'torchvision'}
cm_global.pip_downgrade_blacklist = ['torch', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia']
def skip_pip_spam(x): def skip_pip_spam(x):
@@ -121,17 +118,12 @@ read_config()
read_uv_mode() read_uv_mode()
check_file_logging() check_file_logging()
if sys.version_info < (3, 13): cm_global.pip_overrides = {'numpy': 'numpy<2', 'ultralytics': 'ultralytics==8.3.40'}
cm_global.pip_overrides = {'numpy': 'numpy<2'}
else:
cm_global.pip_overrides = {}
if os.path.exists(manager_pip_overrides_path): if os.path.exists(manager_pip_overrides_path):
with open(manager_pip_overrides_path, 'r', encoding="UTF-8", errors="ignore") as json_file: with open(manager_pip_overrides_path, 'r', encoding="UTF-8", errors="ignore") as json_file:
cm_global.pip_overrides = json.load(json_file) cm_global.pip_overrides = json.load(json_file)
if sys.version_info < (3, 13):
cm_global.pip_overrides['numpy'] = 'numpy<2' cm_global.pip_overrides['numpy'] = 'numpy<2'
cm_global.pip_overrides['ultralytics'] = 'ultralytics==8.3.40' # for security
if os.path.exists(manager_pip_blacklist_path): if os.path.exists(manager_pip_blacklist_path):
@@ -626,7 +618,6 @@ def execute_lazy_install_script(repo_path, executable):
lines = manager_util.robust_readlines(requirements_path) lines = manager_util.robust_readlines(requirements_path)
for line in lines: for line in lines:
package_name = remap_pip_package(line.strip()) package_name = remap_pip_package(line.strip())
package_name = package_name.split('#')[0].strip()
if package_name and not is_installed(package_name): if package_name and not is_installed(package_name):
if '--index-url' in package_name: if '--index-url' in package_name:
s = package_name.split('--index-url') s = package_name.split('--index-url')
@@ -698,6 +689,14 @@ def execute_lazy_cnr_switch(target, zip_url, from_path, to_path, no_deps, custom
file.write('\n'.join(list(extracted))) file.write('\n'.join(list(extracted)))
def execute_migration(moves):
import shutil
for x in moves:
if os.path.exists(x[0]) and not os.path.exists(x[1]):
shutil.move(x[0], x[1])
print(f"[ComfyUI-Manager] MIGRATION: '{x[0]}' -> '{x[1]}'")
script_executed = False script_executed = False
def execute_startup_script(): def execute_startup_script():
@@ -755,6 +754,9 @@ def execute_startup_script():
execute_lazy_cnr_switch(script[0], script[2], script[3], script[4], script[5], script[6]) execute_lazy_cnr_switch(script[0], script[2], script[3], script[4], script[5], script[6])
execute_lazy_install_script(script[3], script[7]) execute_lazy_install_script(script[3], script[7])
elif script[1] == "#LAZY-MIGRATION":
execute_migration(script[2])
elif script[1] == "#LAZY-DELETE-NODEPACK": elif script[1] == "#LAZY-DELETE-NODEPACK":
execute_lazy_delete(script[2]) execute_lazy_delete(script[2])

View File

@@ -1,7 +1,7 @@
[project] [project]
name = "comfyui-manager" name = "comfyui-manager"
description = "ComfyUI-Manager provides features to install and manage custom nodes for ComfyUI, as well as various functionalities to assist with ComfyUI." description = "ComfyUI-Manager provides features to install and manage custom nodes for ComfyUI, as well as various functionalities to assist with ComfyUI."
version = "3.32.3" version = "3.30.3"
license = { file = "LICENSE.txt" } license = { file = "LICENSE.txt" }
dependencies = ["GitPython", "PyGithub", "matrix-client==0.4.0", "transformers", "huggingface-hub>0.20", "typer", "rich", "typing-extensions", "toml", "uv", "chardet"] dependencies = ["GitPython", "PyGithub", "matrix-client==0.4.0", "transformers", "huggingface-hub>0.20", "typer", "rich", "typing-extensions", "toml", "uv", "chardet"]