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Author SHA1 Message Date
Robin Huang
14b82d97ae Print form factor. 2025-03-12 15:01:43 -07:00
37 changed files with 8974 additions and 34492 deletions

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@@ -7,19 +7,15 @@ on:
paths:
- "pyproject.toml"
permissions:
issues: write
jobs:
publish-node:
name: Publish Custom Node to registry
runs-on: ubuntu-latest
if: ${{ github.repository_owner == 'ltdrdata' }}
steps:
- name: Check out code
uses: actions/checkout@v4
- name: Publish Custom Node
uses: Comfy-Org/publish-node-action@v1
uses: Comfy-Org/publish-node-action@main
with:
## 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
* [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

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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 sys

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@@ -43,13 +43,9 @@ import cnr_utils
comfyui_manager_path = os.path.abspath(os.path.dirname(__file__))
cm_global.pip_blacklist = {'torch', 'torchaudio', 'torchsde', 'torchvision'}
cm_global.pip_downgrade_blacklist = ['torch', 'torchaudio', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia']
if sys.version_info < (3, 13):
cm_global.pip_overrides = {'numpy': 'numpy<2'}
else:
cm_global.pip_overrides = {}
cm_global.pip_blacklist = {'torch', 'torchsde', 'torchvision'}
cm_global.pip_downgrade_blacklist = ['torch', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia']
cm_global.pip_overrides = {'numpy': 'numpy<2'}
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:
@@ -151,9 +147,7 @@ class Ctx:
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:
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):
with open(core.manager_pip_blacklist_path, 'r', encoding="UTF-8", errors="ignore") as f:
@@ -190,18 +184,13 @@ class Ctx:
cmd_ctx = Ctx()
def install_node(node_spec_str, is_all=False, cnt_msg='', **kwargs):
exit_on_fail = kwargs.get('exit_on_fail', False)
print(f"install_node exit on fail:{exit_on_fail}...")
def install_node(node_spec_str, is_all=False, cnt_msg=''):
if core.is_valid_url(node_spec_str):
# install via urls
res = asyncio.run(core.gitclone_install(node_spec_str, no_deps=cmd_ctx.no_deps))
if not res.result:
print(res.msg)
print(f"[bold red]ERROR: An error occurred while installing '{node_spec_str}'.[/bold red]")
if exit_on_fail:
sys.exit(1)
else:
print(f"{cnt_msg} [INSTALLED] {node_spec_str:50}")
else:
@@ -236,8 +225,6 @@ def install_node(node_spec_str, is_all=False, cnt_msg='', **kwargs):
print("")
else:
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=''):
@@ -599,7 +586,7 @@ def get_all_installed_node_specs():
return res
def for_each_nodes(nodes, act, allow_all=True, **kwargs):
def for_each_nodes(nodes, act, allow_all=True):
is_all = False
if allow_all and 'all' in nodes:
is_all = True
@@ -611,7 +598,7 @@ def for_each_nodes(nodes, act, allow_all=True, **kwargs):
i = 1
for x in nodes:
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:
print(f"ERROR: {e}")
traceback.print_exc()
@@ -655,17 +642,13 @@ def install(
None,
help="user directory"
),
exit_on_fail: bool = typer.Option(
False,
help="Exit on failure"
)
):
cmd_ctx.set_user_directory(user_directory)
cmd_ctx.set_channel_mode(channel, mode)
cmd_ctx.set_no_deps(no_deps)
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()
@@ -1064,16 +1047,18 @@ def save_snapshot(
):
cmd_ctx.set_user_directory(user_directory)
if output is not None:
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]")
raise typer.Exit(code=1)
dir_path = os.path.dirname(output)
if output is None:
print("[bold red]ERROR: missing output path[/bold red]")
raise typer.Exit(code=1)
if(dir_path != '' and not os.path.exists(dir_path)):
print(f"[bold red]ERROR: {output} path not exists.[/bold red]")
raise typer.Exit(code=1)
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]")
raise typer.Exit(code=1)
dir_path = os.path.dirname(output)
if(dir_path != '' and not os.path.exists(dir_path)):
print(f"[bold red]ERROR: {output} path not exists.[/bold red]")
raise typer.Exit(code=1)
path = asyncio.run(core.save_snapshot_with_postfix('snapshot', output, not full_snapshot))
print(f"Current snapshot is saved as `{path}`")
@@ -1286,6 +1271,20 @@ def export_custom_node_ids(
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__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(app())

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@@ -1,41 +0,0 @@
# ComfyUI-Manager: Documentation
This directory contains documentation for the ComfyUI-Manager, providing guides and tutorials for users in multiple languages.
## Directory Structure
The documentation is organized into language-specific directories:
- **en/**: English documentation
- **ko/**: Korean documentation
## Core Documentation Files
### Command-Line Interface
- **cm-cli.md**: Documentation for the ComfyUI-Manager Command Line Interface (CLI), which allows using manager functionality without the UI.
### Advanced Features
- **use_aria2.md**: Guide for using the aria2 download accelerator with ComfyUI-Manager for faster model downloads.
## Documentation Standards
The documentation follows these standards:
1. **Markdown Format**: All documentation is written in Markdown for easy rendering on GitHub and other platforms
2. **Language-specific Directories**: Content is separated by language to facilitate localization
3. **Feature-focused Documentation**: Each major feature has its own documentation file
4. **Updated with Releases**: Documentation is kept in sync with software releases
## Contributing to Documentation
When contributing new documentation:
1. Place files in the appropriate language directory
2. Use clear, concise language appropriate for the target audience
3. Include examples where helpful
4. Consider adding screenshots or diagrams for complex features
5. Maintain consistent formatting with existing documentation
This documentation directory will continue to grow to support the expanding feature set of ComfyUI-Manager.

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@@ -1,53 +0,0 @@
# ComfyUI-Manager: Core Backend (glob)
This directory contains the Python backend modules that power ComfyUI-Manager, handling the core functionality of node management, downloading, security, and server operations.
## Core Modules
- **manager_core.py**: The central implementation of management functions, handling configuration, installation, updates, and node management.
- **manager_server.py**: Implements server functionality and API endpoints for the web interface to interact with the backend.
- **manager_downloader.py**: Handles downloading operations for models, extensions, and other resources.
- **manager_util.py**: Provides utility functions used throughout the system.
## Specialized Modules
- **cm_global.py**: Maintains global variables and state management across the system.
- **cnr_utils.py**: Helper utilities for interacting with the custom node registry (CNR).
- **git_utils.py**: Git-specific utilities for repository operations.
- **node_package.py**: Handles the packaging and installation of node extensions.
- **security_check.py**: Implements the multi-level security system for installation safety.
- **share_3rdparty.py**: Manages integration with third-party sharing platforms.
## Architecture
The backend follows a modular design pattern with clear separation of concerns:
1. **Core Layer**: Manager modules provide the primary API and business logic
2. **Utility Layer**: Helper modules provide specialized functionality
3. **Integration Layer**: Modules that connect to external systems
## Security Model
The system implements a comprehensive security framework with multiple levels:
- **Block**: Highest security - blocks most remote operations
- **High**: Allows only specific trusted operations
- **Middle**: Standard security for most users
- **Normal-**: More permissive for advanced users
- **Weak**: Lowest security for development environments
## Implementation Details
- The backend is designed to work seamlessly with ComfyUI
- Asynchronous task queuing is implemented for background operations
- The system supports multiple installation modes
- Error handling and risk assessment are integrated throughout the codebase
## API Integration
The backend exposes a REST API via `manager_server.py` that enables:
- Custom node management (install, update, disable, remove)
- Model downloading and organization
- System configuration
- Snapshot management
- Workflow component handling

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@@ -68,6 +68,7 @@ async def _get_cnr_data(cache_mode=True, dont_wait=True):
else:
form_factor = 'other'
print(f"form_factor: {form_factor}")
while remained:
# Add comfyui_version and form_factor to the API request
sub_uri = f'{base_url}/nodes?page={page}&limit=30&comfyui_version={comfyui_ver}&form_factor={form_factor}'

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@@ -43,7 +43,7 @@ import manager_downloader
from node_package import InstalledNodePackage
version_code = [3, 32, 5]
version_code = [3, 30, 9]
version_str = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
@@ -256,7 +256,7 @@ comfy_ui_revision = "Unknown"
comfy_ui_commit_datetime = datetime(1900, 1, 1, 0, 0, 0)
channel_dict = None
valid_channels = {'default', 'local'}
valid_channels = set()
channel_list = None
@@ -768,9 +768,6 @@ class UnifiedManager:
@staticmethod
async def load_nightly(channel, mode):
if channel is None:
return {}
res = {}
channel_url = normalize_channel(channel)
@@ -801,9 +798,8 @@ class UnifiedManager:
return res
async def get_custom_nodes(self, channel, mode):
if channel is None and mode is None:
channel = 'default'
mode = 'cache'
# default_channel = normalize_channel('default')
# cache = self.custom_node_map_cache.get((default_channel, mode)) # CNR/nightly should always be based on the default channel.
channel = normalize_channel(channel)
cache = self.custom_node_map_cache.get((channel, mode)) # CNR/nightly should always be based on the default channel.
@@ -812,6 +808,7 @@ class UnifiedManager:
return cache
channel = normalize_channel(channel)
print(f"nightly_channel: {channel}/{mode}")
nodes = await self.load_nightly(channel, mode)
res = {}
@@ -868,9 +865,8 @@ class UnifiedManager:
package_name = remap_pip_package(line.strip())
if package_name and not package_name.startswith('#') and package_name not in self.processed_install:
self.processed_install.add(package_name)
clean_package_name = package_name.split('#')[0].strip()
install_cmd = manager_util.make_pip_cmd(["install", clean_package_name])
if clean_package_name != "" and not clean_package_name.startswith('#'):
install_cmd = manager_util.make_pip_cmd(["install", package_name])
if package_name.strip() != "" and not package_name.startswith('#'):
res = res and try_install_script(url, repo_path, install_cmd, instant_execution=instant_execution)
pip_fixer.fix_broken()
@@ -893,6 +889,14 @@ class UnifiedManager:
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):
"""
fix dependencies
@@ -1321,66 +1325,67 @@ class UnifiedManager:
return result.fail(f'Path not found: {repo_path}')
# version check
with git.Repo(repo_path) as repo:
if repo.head.is_detached:
if not switch_to_default_branch(repo):
return result.fail(f"Failed to switch to default branch: {repo_path}")
repo = git.Repo(repo_path)
current_branch = repo.active_branch
branch_name = current_branch.name
if repo.head.is_detached:
if not switch_to_default_branch(repo):
return result.fail(f"Failed to switch to default branch: {repo_path}")
if current_branch.tracking_branch() is None:
print(f"[ComfyUI-Manager] There is no tracking branch ({current_branch})")
remote_name = get_remote_name(repo)
current_branch = repo.active_branch
branch_name = current_branch.name
if current_branch.tracking_branch() is None:
print(f"[ComfyUI-Manager] There is no tracking branch ({current_branch})")
remote_name = get_remote_name(repo)
else:
remote_name = current_branch.tracking_branch().remote_name
if remote_name is None:
return result.fail(f"Failed to get remote when installing: {repo_path}")
remote = repo.remote(name=remote_name)
try:
remote.fetch()
except Exception as e:
if 'detected dubious' in str(e):
print(f"[ComfyUI-Manager] Try fixing 'dubious repository' error on '{repo_path}' repository")
safedir_path = repo_path.replace('\\', '/')
subprocess.run(['git', 'config', '--global', '--add', 'safe.directory', safedir_path])
try:
remote.fetch()
except Exception:
print("\n[ComfyUI-Manager] Failed to fixing repository setup. Please execute this command on cmd: \n"
"-----------------------------------------------------------------------------------------\n"
f'git config --global --add safe.directory "{safedir_path}"\n'
"-----------------------------------------------------------------------------------------\n")
commit_hash = repo.head.commit.hexsha
if f'{remote_name}/{branch_name}' in repo.refs:
remote_commit_hash = repo.refs[f'{remote_name}/{branch_name}'].object.hexsha
else:
return result.fail(f"Not updatable branch: {branch_name}")
if commit_hash != remote_commit_hash:
git_pull(repo_path)
if len(repo.remotes) > 0:
url = repo.remotes[0].url
else:
remote_name = current_branch.tracking_branch().remote_name
url = "unknown repo"
if remote_name is None:
return result.fail(f"Failed to get remote when installing: {repo_path}")
def postinstall():
return self.execute_install_script(url, repo_path, instant_execution=instant_execution, no_deps=no_deps)
remote = repo.remote(name=remote_name)
try:
remote.fetch()
except Exception as e:
if 'detected dubious' in str(e):
print(f"[ComfyUI-Manager] Try fixing 'dubious repository' error on '{repo_path}' repository")
safedir_path = repo_path.replace('\\', '/')
subprocess.run(['git', 'config', '--global', '--add', 'safe.directory', safedir_path])
try:
remote.fetch()
except Exception:
print("\n[ComfyUI-Manager] Failed to fixing repository setup. Please execute this command on cmd: \n"
"-----------------------------------------------------------------------------------------\n"
f'git config --global --add safe.directory "{safedir_path}"\n'
"-----------------------------------------------------------------------------------------\n")
commit_hash = repo.head.commit.hexsha
if f'{remote_name}/{branch_name}' in repo.refs:
remote_commit_hash = repo.refs[f'{remote_name}/{branch_name}'].object.hexsha
if return_postinstall:
return result.with_postinstall(postinstall)
else:
return result.fail(f"Not updatable branch: {branch_name}")
if not postinstall():
return result.fail(f"Failed to execute install script: {url}")
if commit_hash != remote_commit_hash:
git_pull(repo_path)
if len(repo.remotes) > 0:
url = repo.remotes[0].url
else:
url = "unknown repo"
def postinstall():
return self.execute_install_script(url, repo_path, instant_execution=instant_execution, no_deps=no_deps)
if return_postinstall:
return result.with_postinstall(postinstall)
else:
if not postinstall():
return result.fail(f"Failed to execute install script: {url}")
return result
else:
return ManagedResult('skip').with_msg('Up to date')
return result
else:
return ManagedResult('skip').with_msg('Up to date')
def unified_update(self, node_id, version_spec=None, instant_execution=False, no_deps=False, return_postinstall=False):
orig_print(f"\x1b[2K\rUpdating: {node_id}", end='')
@@ -1625,6 +1630,7 @@ def write_config():
'model_download_by_agent': get_config()['model_download_by_agent'],
'downgrade_blacklist': get_config()['downgrade_blacklist'],
'security_level': get_config()['security_level'],
'skip_migration_check': get_config()['skip_migration_check'],
'always_lazy_install': get_config()['always_lazy_install'],
'network_mode': get_config()['network_mode'],
'db_mode': get_config()['db_mode'],
@@ -1663,6 +1669,7 @@ def read_config():
'windows_selector_event_loop_policy': get_bool('windows_selector_event_loop_policy', False),
'model_download_by_agent': get_bool('model_download_by_agent', False),
'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),
'network_mode': default_conf.get('network_mode', 'public').lower(),
'security_level': default_conf.get('security_level', 'normal').lower(),
@@ -1686,6 +1693,7 @@ def read_config():
'windows_selector_event_loop_policy': False,
'model_download_by_agent': False,
'downgrade_blacklist': '',
'skip_migration_check': False,
'always_lazy_install': False,
'network_mode': 'public', # public | private | offline
'security_level': 'normal', # strong | normal | normal- | weak
@@ -2073,13 +2081,6 @@ def is_valid_url(url):
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):
await unified_manager.reload('cache')
await unified_manager.get_custom_nodes('default', 'cache')
@@ -2097,11 +2098,8 @@ async def gitclone_install(url, instant_execution=False, msg_prefix='', no_deps=
cnr = unified_manager.get_cnr_by_repo(url)
if cnr:
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:
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]
# NOTE: Keep original name as possible if unknown node
@@ -2134,10 +2132,6 @@ async def gitclone_install(url, instant_execution=False, msg_prefix='', no_deps=
return result.fail(f"Failed to clone '{clone_url}' into '{repo_path}'")
else:
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.close()
@@ -2654,8 +2648,22 @@ async def get_current_snapshot(custom_nodes_only = False):
cnr_custom_nodes[info['id']] = info['ver']
else:
commit_hash = git_utils.get_commit_hash(fullpath)
url = git_utils.git_url(fullpath)
repo = git.Repo(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)
except:
print(f"Failed to extract snapshots for the custom node '{path}'.")
@@ -3018,9 +3026,6 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
enabled_repos = []
disabled_repos = []
skip_node_packs = []
switched_node_packs = []
installed_node_packs = []
failed = []
await unified_manager.reload('cache')
await unified_manager.get_custom_nodes('default', 'cache')
@@ -3066,13 +3071,8 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
disabled_repos.append(x)
for x in todo_checkout:
ps = 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:
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]}")
unified_manager.cnr_switch_version(x[0], x[1], instant_execution=True, no_deps=True, return_postinstall=False)
checkout_repos.append(x[1])
# install listed cnr nodes
for k, v in cnr_info.items():
@@ -3080,9 +3080,7 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
continue
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:
installed_node_packs.append(f"{k}@{v}")
cloned_repos.append(k)
if ps is not None and ps.result:
if hasattr(ps, 'postinstall'):
postinstalls.append(ps.postinstall)
@@ -3140,41 +3138,40 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
disabled_repos.append(x)
for x in todo_enable:
res = unified_manager.unified_enable(x[0], 'nightly')
res = unified_manager.unified_enable(x, 'nightly')
is_switched = False
if res and res.target:
is_switched = repo_switch_commit(res.target, x[1])
if is_switched:
checkout_repos.append(f"{x[0]}@{x[1]}")
checkout_repos.append(x)
else:
enabled_repos.append(x[0])
enabled_repos.append(x)
for x in todo_checkout:
is_switched = repo_switch_commit(x[0], x[1])
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():
normalized_url = git_utils.normalize_url(x)
cnr = unified_manager.repo_cnr_map.get(normalized_url)
if cnr is not None:
pack_id = cnr['id']
res = 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)
elif res.action == 'skip':
skip_node_packs.append(pack_id)
elif not res.result:
failed.append(pack_id)
await unified_manager.install_by_id(pack_id, 'nightly', instant_execution=True, no_deps=False, return_postinstall=False)
cloned_repos.append(pack_id)
processed_urls.append(x)
for x in processed_urls:
if x in git_info:
del git_info[x]
# remained nightly will be installed and migrated
# for unknown restore
todo_disable = []
todo_enable = []
@@ -3221,15 +3218,15 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
is_switched = repo_switch_commit(res.target, x[1])
if is_switched:
checkout_repos.append(f"{x[0]}@{x[1]}")
checkout_repos.append(x)
else:
enabled_repos.append(x[0])
enabled_repos.append(x)
for x in todo_checkout:
is_switched = repo_switch_commit(x[0], x[1])
if is_switched:
checkout_repos.append(f"{x[0]}@{x[1]}")
checkout_repos.append(x)
else:
skip_node_packs.append(x[0])
@@ -3246,28 +3243,53 @@ 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)
cloned_repos.append(repo_name)
# reload
await unified_manager.migrate_unmanaged_nodes()
# print summary
for x in cloned_repos:
print(f"[ INSTALLED ] {x}")
for x in installed_node_packs:
print(f"[ INSTALLED ] {x}")
for x in checkout_repos:
print(f"[ CHECKOUT ] {x}")
for x in switched_node_packs:
print(f"[ SWITCHED ] {x}")
for x in enabled_repos:
print(f"[ ENABLED ] {x}")
for x in disabled_repos:
print(f"[ DISABLED ] {x}")
for x in skip_node_packs:
print(f"[ SKIPPED ] {x}")
for x in failed:
print(f"[ FAILED ] {x}")
print(f"[ SKIPPED ] {x}")
# if is_failed:
# 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):
if repo is None:
repo = git.Repo(comfy_path)

View File

@@ -273,7 +273,7 @@ import zipfile
import urllib.request
def get_model_dir(data, show_log=False):
def get_model_dir(data, show_log=False) -> str | None:
if 'download_model_base' in folder_paths.folder_names_and_paths:
models_base = folder_paths.folder_names_and_paths['download_model_base'][0][0]
else:
@@ -437,10 +437,7 @@ async def task_worker():
if res.ver == 'unknown':
url = core.unified_manager.unknown_active_nodes[node_name][0]
try:
title = os.path.basename(url)
except Exception:
title = node_name
title = os.path.basename(url)
else:
url = core.unified_manager.cnr_map[node_name].get('repository')
title = core.unified_manager.cnr_map[node_name]['name']
@@ -1424,12 +1421,6 @@ async def disable_node(request):
async def check_whitelist_for_model(item):
json_obj = await core.get_data_by_mode('cache', 'model-list.json')
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')
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
@@ -1757,6 +1748,11 @@ async def default_cache_update():
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()

View File

@@ -15,7 +15,6 @@ import re
import logging
import platform
import shlex
import cm_global
cache_lock = threading.Lock()
@@ -36,17 +35,11 @@ def add_python_path_to_env():
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
if use_uv:
return [sys.executable, '-m', 'uv', 'pip'] + cmd
else:
# FIXED: https://github.com/ltdrdata/ComfyUI-Manager/issues/1667
if use_uv:
return [sys.executable, '-m', 'uv', 'pip'] + cmd
else:
return [sys.executable, '-m', 'pip'] + cmd
return [sys.executable, '-m', 'pip'] + cmd
# DON'T USE StrictVersion - cannot handle pre_release version
# try:
@@ -257,7 +250,7 @@ def get_installed_packages(renew=False):
pip_map[normalized_name] = y[1]
except subprocess.CalledProcessError:
logging.error("[ComfyUI-Manager] Failed to retrieve the information of installed pip packages.")
return {}
return set()
return pip_map
@@ -308,7 +301,6 @@ def parse_requirement_line(line):
torch_torchvision_torchaudio_version_map = {
'2.7.0': ('0.22.0', '2.7.0'),
'2.6.0': ('0.21.0', '2.6.0'),
'2.5.1': ('0.20.0', '2.5.0'),
'2.5.0': ('0.20.0', '2.5.0'),
@@ -412,9 +404,8 @@ class PIPFixer:
if len(targets) > 0:
for x in targets:
if sys.version_info < (3, 13):
cmd = make_pip_cmd(['install', f"{x}=={versions[0].version_string}", "numpy<2"])
subprocess.check_output(cmd, universal_newlines=True)
cmd = make_pip_cmd(['install', f"{x}=={versions[0].version_string}", "numpy<2"])
subprocess.check_output(cmd, universal_newlines=True)
logging.info(f"[ComfyUI-Manager] 'opencv' dependencies were fixed: {targets}")
except Exception as e:
@@ -422,21 +413,17 @@ class PIPFixer:
logging.error(e)
# 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:
np = new_pip_versions.get('numpy')
if cm_global.pip_overrides.get('numpy') == 'numpy<2':
if np is not None:
if StrictVersion(np) >= StrictVersion('2'):
cmd = make_pip_cmd(['install', "numpy<2"])
subprocess.check_output(cmd , universal_newlines=True)
try:
np = new_pip_versions.get('numpy')
if np is not None:
if StrictVersion(np) >= StrictVersion('2'):
cmd = make_pip_cmd(['install', "numpy<2"])
subprocess.check_output(cmd , universal_newlines=True)
logging.info("[ComfyUI-Manager] 'numpy' dependency were fixed")
except Exception as e:
logging.error("[ComfyUI-Manager] Failed to restore numpy")
logging.error(e)
logging.info("[ComfyUI-Manager] 'numpy' dependency were fixed")
except Exception as e:
logging.error("[ComfyUI-Manager] Failed to restore numpy")
logging.error(e)
# fix missing frontend
try:
@@ -452,12 +439,10 @@ class PIPFixer:
lines = file.readlines()
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])
subprocess.check_output(cmd , universal_newlines=True)
logging.info("[ComfyUI-Manager] 'comfyui-frontend-package' dependency were fixed")
cmd = make_pip_cmd(['install', front_line])
subprocess.check_output(cmd , universal_newlines=True)
logging.info("[ComfyUI-Manager] 'comfyui-frontend-package' dependency were fixed")
except Exception as e:
logging.error("[ComfyUI-Manager] Failed to restore comfyui-frontend-package")
logging.error(e)
@@ -476,7 +461,7 @@ class PIPFixer:
normalized_name = parsed['package'].lower().replace('-', '_')
if normalized_name in new_pip_versions:
if 'version' in parsed and 'operator' in parsed:
cur = StrictVersion(new_pip_versions[normalized_name])
cur = StrictVersion(new_pip_versions[parsed['package']])
dest = parsed['version']
op = parsed['operator']
if cur == dest:

View File

@@ -1,50 +0,0 @@
# ComfyUI-Manager: Frontend (js)
This directory contains the JavaScript frontend implementation for ComfyUI-Manager, providing the user interface components that interact with the backend API.
## Core Components
- **comfyui-manager.js**: Main entry point that initializes the manager UI and integrates with ComfyUI.
- **custom-nodes-manager.js**: Implements the UI for browsing, installing, and managing custom nodes.
- **model-manager.js**: Handles the model management interface for downloading and organizing AI models.
- **components-manager.js**: Manages reusable workflow components system.
- **snapshot.js**: Implements the snapshot system for backing up and restoring installations.
## Sharing Components
- **comfyui-share-common.js**: Base functionality for workflow sharing features.
- **comfyui-share-copus.js**: Integration with the ComfyUI Opus sharing platform.
- **comfyui-share-openart.js**: Integration with the OpenArt sharing platform.
- **comfyui-share-youml.js**: Integration with the YouML sharing platform.
## Utility Components
- **cm-api.js**: Client-side API wrapper for communication with the backend.
- **common.js**: Shared utilities and helper functions used across the frontend.
- **node_fixer.js**: Utilities for fixing disconnected links and repairing malformed nodes by recreating them while preserving connections.
- **popover-helper.js**: UI component for popup tooltips and contextual information.
- **turbogrid.esm.js**: Grid component library - https://github.com/cenfun/turbogrid
- **workflow-metadata.js**: Handles workflow metadata parsing, validation and cross-repository compatibility including versioning, dependencies tracking, and resource management.
## Architecture
The frontend follows a modular component-based architecture:
1. **Integration Layer**: Connects with ComfyUI's existing UI system
2. **Manager Components**: Individual functional UI components (node manager, model manager, etc.)
3. **Sharing Components**: Platform-specific sharing implementations
4. **Utility Layer**: Reusable UI components and helpers
## Implementation Details
- The frontend integrates directly with ComfyUI's UI system through `app.js`
- Dialog-based UI for most manager functions to avoid cluttering the main interface
- Asynchronous API calls to handle backend operations without blocking the UI
## Styling
CSS files are included for specific components:
- **custom-nodes-manager.css**: Styling for the node management UI
- **model-manager.css**: Styling for the model management UI
This frontend implementation provides a comprehensive yet user-friendly interface for managing the ComfyUI ecosystem.

View File

@@ -13,7 +13,7 @@ import {
import { OpenArtShareDialog } from "./comfyui-share-openart.js";
import {
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
} from "./common.js";
import { ComponentBuilderDialog, getPureName, load_components, set_component_policy } from "./components-manager.js";
@@ -946,6 +946,28 @@ class ManagerMenuDialog extends ComfyDialog {
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;
}

View File

@@ -1,7 +1,6 @@
import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js";
import { $el, ComfyDialog } from "../../scripts/ui.js";
import { getBestPosition, getPositionStyle, getRect } from './popover-helper.js';
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 function setManagerInstance(obj) {
@@ -388,14 +404,12 @@ export async function fetchData(route, options) {
}
}
// https://cenfun.github.io/open-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>',
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>',
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>',
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>'
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>'
}
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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@@ -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 { $el } from "../../scripts/ui.js";
import {
manager_instance, rebootAPI,
fetchData, md5, icons, show_message, customAlert, infoToast, showTerminal,
storeColumnWidth, restoreColumnWidth, loadCss
storeColumnWidth, restoreColumnWidth
} from "./common.js";
import { api } from "../../scripts/api.js";
// https://cenfun.github.io/turbogrid/api.html
import TG from "./turbogrid.esm.js";
loadCss("./model-manager.css");
const gridId = "model";
const pageCss = `
.cmm-manager {
--grid-font: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji";
z-index: 1099;
width: 80%;
height: 80%;
display: flex;
flex-direction: column;
gap: 10px;
color: var(--fg-color);
font-family: arial, sans-serif;
}
.cmm-manager .cmm-flex-auto {
flex: auto;
}
.cmm-manager button {
font-size: 16px;
color: var(--input-text);
background-color: var(--comfy-input-bg);
border-radius: 8px;
border-color: var(--border-color);
border-style: solid;
margin: 0;
padding: 4px 8px;
min-width: 100px;
}
.cmm-manager button:disabled,
.cmm-manager input:disabled,
.cmm-manager select:disabled {
color: gray;
}
.cmm-manager button:disabled {
background-color: var(--comfy-input-bg);
}
.cmm-manager .cmm-manager-refresh {
display: none;
background-color: #000080;
color: white;
}
.cmm-manager .cmm-manager-stop {
display: none;
background-color: #500000;
color: white;
}
.cmm-manager-header {
display: flex;
flex-wrap: wrap;
gap: 5px;
align-items: center;
padding: 0 5px;
}
.cmm-manager-header label {
display: flex;
gap: 5px;
align-items: center;
}
.cmm-manager-type,
.cmm-manager-base,
.cmm-manager-filter {
height: 28px;
line-height: 28px;
}
.cmm-manager-keywords {
height: 28px;
line-height: 28px;
padding: 0 5px 0 26px;
background-size: 16px;
background-position: 5px center;
background-repeat: no-repeat;
background-image: url("data:image/svg+xml;charset=utf8,${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 = `
<div class="cmm-manager-header">
<label>Filter
@@ -64,6 +283,14 @@ export class ModelManager {
}
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 = $el("div", {
parent: document.body,
className: "comfy-modal cmm-manager"
@@ -81,13 +308,10 @@ export class ModelManager {
value: ""
}, {
label: "Installed",
value: "installed"
value: "True"
}, {
label: "Not Installed",
value: "not_installed"
}, {
label: "In Workflow",
value: "in_workflow"
value: "False"
}];
this.typeList = [{
@@ -257,31 +481,12 @@ export class ModelManager {
rowFilter: (rowItem) => {
const searchableColumns = ["name", "type", "base", "description", "filename", "save_path"];
const models_extensions = ['.ckpt', '.pt', '.pt2', '.bin', '.pth', '.safetensors', '.pkl', '.sft'];
let shouldShown = grid.highlightKeywordsFilter(rowItem, searchableColumns, this.keywords);
if (shouldShown) {
if(this.filter) {
if (this.filter == "in_workflow") {
rowItem.in_workflow = null;
if (Array.isArray(app.graph._nodes)) {
app.graph._nodes.forEach((item, i) => {
if (Array.isArray(item.widgets_values)) {
item.widgets_values.forEach((_item, i) => {
if (rowItem.in_workflow === null && _item !== null && models_extensions.includes("." + _item.toString().split('.').pop())) {
let filename = _item.match(/([^\/]+)(?=\.\w+$)/)[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.filter && rowItem.installed !== this.filter) {
return false;
}
if(this.type && rowItem.type !== this.type) {
@@ -356,7 +561,7 @@ export class ModelManager {
sortable: false,
align: 'center',
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',
@@ -817,4 +1022,4 @@ export class ModelManager {
close() {
this.element.style.display = "none";
}
}
}

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) nodeProperties.cnr_id = cnr_id;
else nodeProperties.aux_id = aux_id;
if (ver) nodeProperties.ver = ver.trim();
} else if (["nodes", "comfy_extras", "comfy_api_nodes"].includes(moduleType)) {
if (ver) nodeProperties.ver = ver;
} else if (["nodes", "comfy_extras"].includes(moduleType)) {
nodeProperties.cnr_id = "comfy-core";
nodeProperties.ver = this.comfyCoreVersion;
}

View File

@@ -749,8 +749,8 @@
"save_path": "loras/HyperSD/SDXL",
"description": "Hyper-SD LoRA (4steps) - SDXL",
"reference": "https://huggingface.co/ByteDance/Hyper-SD",
"filename": "Hyper-SDXL-4steps-lora.safetensors",
"url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-4steps-lora.safetensors",
"filename": "Hyper-SD15-4steps-lora.safetensors",
"url": "https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-4steps-lora.safetensors",
"size": "787MB"
},
{
@@ -4750,310 +4750,6 @@
"filename": "diffusion_pytorch_model.safetensors",
"url": "https://huggingface.co/Kwai-Kolors/Kolors/resolve/main/vae/diffusion_pytorch_model.safetensors",
"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": [
{
"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",
"title": "ComfyUI BEN - Background Erase Network",

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@@ -8,679 +8,9 @@
"install_type": "git-clone",
"description": "If you see this message, your ComfyUI-Manager is outdated.\nLegacy channel provides only the list of the deprecated nodes. If you want to find the complete node list, please go to the Default channel."
},
{
"author": "pomePLaszlo-collablyu",
"title": "comfyui_ejam [REMOVED]",
"reference": "https://github.com/PLaszlo-collab/comfyui_ejam",
"files": [
"https://github.com/PLaszlo-collab/comfyui_ejam"
],
"install_type": "git-clone",
"description": "Ejam nodes for comfyui"
},
{
"author": "jonnydolake",
"title": "ComfyUI-AIR-Nodes [REMOVED]",
"reference": "https://github.com/jonnydolake/ComfyUI-AIR-Nodes",
"files": [
"https://github.com/jonnydolake/ComfyUI-AIR-Nodes"
],
"install_type": "git-clone",
"description": "NODES: String List To Prompt Schedule, Force Minimum Batch Size, Target Location (Crop), Target Location (Paste), Image Composite Chained, Match Image Count To Mask Count, Random Character Prompts, Parallax Test, Easy Parallax, Parallax GPU Test"
},
{
"author": "solution9th",
"title": "Comfyui_mobilesam [REMOVED]",
"reference": "https://github.com/solution9th/Comfyui_mobilesam",
"files": [
"https://github.com/solution9th/Comfyui_mobilesam"
],
"install_type": "git-clone",
"description": "NODES: Mobile SAM Model Loader, Mobile SAM Detector, Mobile SAM Predictor"
},
{
"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",
"title": "ComfyUI-FreeVC_wrapper [REMOVED]",

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@@ -1,309 +1,5 @@
{
"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",
"type": "diffusion_model",
@@ -691,6 +387,349 @@
"filename": "sigclip_vision_patch14_384.safetensors",
"url": "https://huggingface.co/Comfy-Org/sigclip_vision_384/resolve/main/sigclip_vision_patch14_384.safetensors",
"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": [
{
"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",
"title": "Guide To Making Custom Nodes in ComfyUI",
@@ -321,16 +311,6 @@
],
"description": "ComfyUI node for creating some Turtle Graphic demos.",
"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

@@ -1,846 +0,0 @@
openapi: 3.1.0
info:
title: ComfyUI-Manager API
description: |
API for ComfyUI-Manager, a comprehensive management tool for ComfyUI custom nodes, models, and components.
This API enables programmatic access to node management, model downloading, snapshot operations,
and overall system configuration.
version: "3.32.3"
contact:
name: ComfyUI-Manager Maintainers
servers:
- url: '/'
description: Default ComfyUI server
# Common API components
components:
schemas:
Error:
type: object
properties:
error:
type: string
description: Error message
NodePackageMetadata:
type: object
properties:
title:
type: string
description: Display name of the node package
name:
type: string
description: Repository/package name
files:
type: array
items:
type: string
description: Source URLs for the package
description:
type: string
description: Description of the node package functionality
install_type:
type: string
enum: [git, copy, pip]
description: Installation method
version:
type: string
description: Version identifier
id:
type: string
description: Unique identifier for the node package
ui_id:
type: string
description: ID for UI reference
channel:
type: string
description: Source channel
mode:
type: string
description: Source mode
ModelMetadata:
type: object
properties:
name:
type: string
description: Name of the model
type:
type: string
description: Type of model
base:
type: string
description: Base model type
save_path:
type: string
description: Path for saving the model
url:
type: string
description: Download URL
filename:
type: string
description: Target filename
ui_id:
type: string
description: ID for UI reference
SnapshotItem:
type: string
description: Name of the snapshot
QueueStatus:
type: object
properties:
total_count:
type: integer
description: Total number of tasks
done_count:
type: integer
description: Number of completed tasks
in_progress_count:
type: integer
description: Number of tasks in progress
is_processing:
type: boolean
description: Whether the queue is currently processing
securitySchemes:
securityLevel:
type: apiKey
in: header
name: Security-Level
description: Security level for sensitive operations
parameters:
modeParam:
name: mode
in: query
description: Source mode (e.g., "local", "remote")
schema:
type: string
enum: [local, remote, default]
targetParam:
name: target
in: query
description: Target identifier
required: true
schema:
type: string
valueParam:
name: value
in: query
description: New value to set
required: true
schema:
type: string
# API Paths
paths:
# Custom Nodes Endpoints
/customnode/getmappings:
get:
summary: Get node-to-package mappings
description: Provides unified mapping between nodes and node packages
parameters:
- $ref: '#/components/parameters/modeParam'
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: object
additionalProperties:
type: array
items:
type: array
description: Mapping of node packages to node classes
/customnode/fetch_updates:
get:
summary: Check for updates
description: Fetches updates for custom nodes
parameters:
- $ref: '#/components/parameters/modeParam'
responses:
'200':
description: No updates available
'201':
description: Updates found
'400':
description: Error occurred
/customnode/installed:
get:
summary: Get installed custom nodes
description: Returns a list of installed node packages
parameters:
- name: mode
in: query
description: Lists mode, default or imported
schema:
type: string
enum: [default, imported]
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: object
additionalProperties:
$ref: '#/components/schemas/NodePackageMetadata'
/customnode/getlist:
get:
summary: Get custom node list
description: Provides a list of available custom nodes
parameters:
- $ref: '#/components/parameters/modeParam'
- name: skip_update
in: query
description: Skip update check
schema:
type: boolean
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: object
properties:
channel:
type: string
node_packs:
type: object
additionalProperties:
$ref: '#/components/schemas/NodePackageMetadata'
/customnode/alternatives:
get:
summary: Get alternative node options
description: Provides alternatives for nodes
parameters:
- $ref: '#/components/parameters/modeParam'
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: object
additionalProperties:
type: object
/customnode/versions/{node_name}:
get:
summary: Get available versions for a node
description: Lists all available versions for a specific node
parameters:
- name: node_name
in: path
required: true
schema:
type: string
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: array
items:
type: object
properties:
version:
type: string
'400':
description: Node not found
/customnode/disabled_versions/{node_name}:
get:
summary: Get disabled versions for a node
description: Lists all disabled versions for a specific node
parameters:
- name: node_name
in: path
required: true
schema:
type: string
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: array
items:
type: object
properties:
version:
type: string
'400':
description: Node not found
/customnode/import_fail_info:
post:
summary: Get import failure information
description: Returns information about why a node failed to import
requestBody:
required: true
content:
application/json:
schema:
type: object
properties:
cnr_id:
type: string
url:
type: string
responses:
'200':
description: Successful operation
'400':
description: No information available
/customnode/install/git_url:
post:
summary: Install custom node via Git URL
description: Installs a custom node from a Git repository URL
security:
- securityLevel: []
requestBody:
required: true
content:
text/plain:
schema:
type: string
responses:
'200':
description: Installation successful or already installed
'400':
description: Installation failed
'403':
description: Security policy violation
/customnode/install/pip:
post:
summary: Install custom node dependencies via pip
description: Installs Python package dependencies for custom nodes
security:
- securityLevel: []
requestBody:
required: true
content:
text/plain:
schema:
type: string
responses:
'200':
description: Installation successful
'403':
description: Security policy violation
# Model Management Endpoints
/externalmodel/getlist:
get:
summary: Get external model list
description: Provides a list of available external models
parameters:
- $ref: '#/components/parameters/modeParam'
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: object
properties:
models:
type: array
items:
$ref: '#/components/schemas/ModelMetadata'
# Queue Management Endpoints
/manager/queue/update_all:
get:
summary: Update all custom nodes
description: Queues update operations for all installed custom nodes
security:
- securityLevel: []
parameters:
- $ref: '#/components/parameters/modeParam'
responses:
'200':
description: Update queued successfully
'401':
description: Processing already in progress
'403':
description: Security policy violation
/manager/queue/reset:
get:
summary: Reset queue
description: Resets the operation queue
responses:
'200':
description: Queue reset successfully
/manager/queue/status:
get:
summary: Get queue status
description: Returns the current status of the operation queue
responses:
'200':
description: Successful operation
content:
application/json:
schema:
$ref: '#/components/schemas/QueueStatus'
/manager/queue/install:
post:
summary: Install custom node
description: Queues installation of a custom node
security:
- securityLevel: []
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/NodePackageMetadata'
responses:
'200':
description: Installation queued successfully
'403':
description: Security policy violation
'404':
description: Target node not found or security issue
/manager/queue/start:
get:
summary: Start queue processing
description: Starts processing the operation queue
responses:
'200':
description: Processing started
'201':
description: Processing already in progress
/manager/queue/fix:
post:
summary: Fix custom node
description: Attempts to fix a broken custom node installation
security:
- securityLevel: []
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/NodePackageMetadata'
responses:
'200':
description: Fix operation queued successfully
'403':
description: Security policy violation
/manager/queue/reinstall:
post:
summary: Reinstall custom node
description: Uninstalls and then reinstalls a custom node
security:
- securityLevel: []
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/NodePackageMetadata'
responses:
'200':
description: Reinstall operation queued successfully
'403':
description: Security policy violation
/manager/queue/uninstall:
post:
summary: Uninstall custom node
description: Queues uninstallation of a custom node
security:
- securityLevel: []
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/NodePackageMetadata'
responses:
'200':
description: Uninstallation queued successfully
'403':
description: Security policy violation
/manager/queue/update:
post:
summary: Update custom node
description: Queues update of a custom node
security:
- securityLevel: []
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/NodePackageMetadata'
responses:
'200':
description: Update queued successfully
'403':
description: Security policy violation
/manager/queue/disable:
post:
summary: Disable custom node
description: Disables a custom node without uninstalling it
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/NodePackageMetadata'
responses:
'200':
description: Disable operation queued successfully
/manager/queue/update_comfyui:
get:
summary: Update ComfyUI
description: Queues an update operation for ComfyUI itself
responses:
'200':
description: Update queued successfully
/manager/queue/install_model:
post:
summary: Install model
description: Queues installation of a model
security:
- securityLevel: []
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/ModelMetadata'
responses:
'200':
description: Installation queued successfully
'400':
description: Invalid model request
'403':
description: Security policy violation
# Snapshot Management Endpoints
/snapshot/getlist:
get:
summary: Get snapshot list
description: Returns a list of available snapshots
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: object
properties:
items:
type: array
items:
$ref: '#/components/schemas/SnapshotItem'
/snapshot/remove:
get:
summary: Remove snapshot
description: Removes a specified snapshot
security:
- securityLevel: []
parameters:
- $ref: '#/components/parameters/targetParam'
responses:
'200':
description: Snapshot removed successfully
'400':
description: Error removing snapshot
'403':
description: Security policy violation
/snapshot/restore:
get:
summary: Restore snapshot
description: Restores a specified snapshot
security:
- securityLevel: []
parameters:
- $ref: '#/components/parameters/targetParam'
responses:
'200':
description: Snapshot restoration scheduled
'400':
description: Error restoring snapshot
'403':
description: Security policy violation
/snapshot/get_current:
get:
summary: Get current snapshot
description: Returns the current system state as a snapshot
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: object
'400':
description: Error creating snapshot
/snapshot/save:
get:
summary: Save snapshot
description: Saves the current system state as a new snapshot
responses:
'200':
description: Snapshot saved successfully
'400':
description: Error saving snapshot
# ComfyUI Management Endpoints
/comfyui_manager/comfyui_versions:
get:
summary: Get ComfyUI versions
description: Returns available and current ComfyUI versions
responses:
'200':
description: Successful operation
content:
application/json:
schema:
type: object
properties:
versions:
type: array
items:
type: string
current:
type: string
'400':
description: Error retrieving versions
/comfyui_manager/comfyui_switch_version:
get:
summary: Switch ComfyUI version
description: Switches to a specified ComfyUI version
parameters:
- name: ver
in: query
description: Target version
schema:
type: string
responses:
'200':
description: Version switch successful
'400':
description: Error switching version
/manager/reboot:
get:
summary: Reboot ComfyUI
description: Restarts the ComfyUI server
security:
- securityLevel: []
responses:
'200':
description: Reboot initiated
'403':
description: Security policy violation
# Configuration Endpoints
/manager/preview_method:
get:
summary: Get or set preview method
description: Gets or sets the latent preview method
parameters:
- name: value
in: query
required: false
description: New preview method
schema:
type: string
enum: [auto, latent2rgb, taesd, none]
responses:
'200':
description: Setting updated or current value returned
content:
text/plain:
schema:
type: string
/manager/db_mode:
get:
summary: Get or set database mode
description: Gets or sets the database mode
parameters:
- name: value
in: query
required: false
description: New database mode
schema:
type: string
enum: [channel, local, remote]
responses:
'200':
description: Setting updated or current value returned
content:
text/plain:
schema:
type: string
/manager/policy/component:
get:
summary: Get or set component policy
description: Gets or sets the component policy
parameters:
- name: value
in: query
required: false
description: New component policy
schema:
type: string
responses:
'200':
description: Setting updated or current value returned
content:
text/plain:
schema:
type: string
/manager/policy/update:
get:
summary: Get or set update policy
description: Gets or sets the update policy
parameters:
- name: value
in: query
required: false
description: New update policy
schema:
type: string
enum: [stable, nightly, nightly-comfyui]
responses:
'200':
description: Setting updated or current value returned
content:
text/plain:
schema:
type: string
/manager/channel_url_list:
get:
summary: Get or set channel URL
description: Gets or sets the channel URL for custom node sources
parameters:
- name: value
in: query
required: false
description: New channel name
schema:
type: string
responses:
'200':
description: Setting updated or channel list returned
content:
application/json:
schema:
type: object
properties:
selected:
type: string
list:
type: array
items:
type: object
properties:
name:
type: string
url:
type: string
# Component Management Endpoints
/manager/component/save:
post:
summary: Save component
description: Saves a reusable workflow component
requestBody:
required: true
content:
application/json:
schema:
type: object
properties:
name:
type: string
workflow:
type: object
responses:
'200':
description: Component saved successfully
content:
text/plain:
schema:
type: string
'400':
description: Error saving component
/manager/component/loads:
post:
summary: Load components
description: Loads all available workflow components
responses:
'200':
description: Components loaded successfully
content:
application/json:
schema:
type: object
'400':
description: Error loading components
# Miscellaneous Endpoints
/manager/version:
get:
summary: Get manager version
description: Returns the current version of ComfyUI-Manager
responses:
'200':
description: Successful operation
content:
text/plain:
schema:
type: string
/manager/notice:
get:
summary: Get manager notice
description: Returns HTML content with notices and version information
responses:
'200':
description: Successful operation
content:
text/html:
schema:
type: string

View File

@@ -21,27 +21,24 @@ import cm_global
import manager_downloader
import folder_paths
manager_util.add_python_path_to_env()
import datetime as dt
if hasattr(dt, 'datetime'):
from datetime import datetime as dt_datetime
import datetime
if hasattr(datetime, 'datetime'):
from datetime import datetime
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:
# NOTE: Occurs in some Mac environments.
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():
return str(time.time()).split('.')[0]
security_check.security_check()
cm_global.pip_blacklist = {'torch', 'torchaudio', 'torchsde', 'torchvision'}
cm_global.pip_downgrade_blacklist = ['torch', 'torchaudio', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia']
manager_util.add_python_path_to_env()
cm_global.pip_blacklist = {'torch', 'torchsde', 'torchvision'}
cm_global.pip_downgrade_blacklist = ['torch', 'torchsde', 'torchvision', 'transformers', 'safetensors', 'kornia']
def skip_pip_spam(x):
@@ -121,17 +118,12 @@ read_config()
read_uv_mode()
check_file_logging()
if sys.version_info < (3, 13):
cm_global.pip_overrides = {'numpy': 'numpy<2'}
else:
cm_global.pip_overrides = {}
cm_global.pip_overrides = {'numpy': 'numpy<2', 'ultralytics': 'ultralytics==8.3.40'}
if os.path.exists(manager_pip_overrides_path):
with open(manager_pip_overrides_path, 'r', encoding="UTF-8", errors="ignore") as 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):
@@ -626,7 +618,6 @@ def execute_lazy_install_script(repo_path, executable):
lines = manager_util.robust_readlines(requirements_path)
for line in lines:
package_name = remap_pip_package(line.strip())
package_name = package_name.split('#')[0].strip()
if package_name and not is_installed(package_name):
if '--index-url' in package_name:
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)))
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
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_install_script(script[3], script[7])
elif script[1] == "#LAZY-MIGRATION":
execute_migration(script[2])
elif script[1] == "#LAZY-DELETE-NODEPACK":
execute_lazy_delete(script[2])

View File

@@ -1,7 +1,7 @@
[project]
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."
version = "3.32.5"
version = "3.30.9"
license = { file = "LICENSE.txt" }
dependencies = ["GitPython", "PyGithub", "matrix-client==0.4.0", "transformers", "huggingface-hub>0.20", "typer", "rich", "typing-extensions", "toml", "uv", "chardet"]

View File

@@ -102,8 +102,12 @@ def extract_nodes(code_text):
def scan_in_file(filename, is_builtin=False):
global builtin_nodes
with open(filename, encoding='utf-8', errors='ignore') as file:
code = file.read()
try:
with open(filename, encoding='utf-8') as file:
code = file.read()
except UnicodeDecodeError:
with open(filename, encoding='cp949') as file:
code = file.read()
pattern = r"_CLASS_MAPPINGS\s*=\s*{([^}]*)}"
regex = re.compile(pattern, re.MULTILINE | re.DOTALL)