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Merge branch 'Comfy-Org:main' into main

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S4MUEL 2025-08-10 20:40:01 +08:00 committed by GitHub
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28 changed files with 21176 additions and 7840 deletions
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8
cm-cli.py
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@ -46,10 +46,7 @@ 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_overrides = {}
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:
@ -152,9 +149,6 @@ class Ctx:
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'}
if os.path.exists(core.manager_pip_blacklist_path):
with open(core.manager_pip_blacklist_path, 'r', encoding="UTF-8", errors="ignore") as f:
for x in f.readlines():

2853
custom-node-list.json
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4116
extension-node-map.json
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9935
github-stats.json
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4
glob/cnr_utils.py
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@ -179,7 +179,7 @@ def install_node(node_id, version=None):
else:
url = f"{base_url}/nodes/{node_id}/install?version={version}"
response = requests.get(url)
response = requests.get(url, verify=not manager_util.bypass_ssl)
if response.status_code == 200:
# Convert the API response to a NodeVersion object
return map_node_version(response.json())
@ -190,7 +190,7 @@ def install_node(node_id, version=None):
def all_versions_of_node(node_id):
url = f"{base_url}/nodes/{node_id}/versions?statuses=NodeVersionStatusActive&statuses=NodeVersionStatusPending"
response = requests.get(url)
response = requests.get(url, verify=not manager_util.bypass_ssl)
if response.status_code == 200:
return response.json()
else:

23
glob/manager_core.py
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@ -43,7 +43,7 @@ import manager_downloader
from node_package import InstalledNodePackage
version_code = [3, 33, 3]
version_code = [3, 35]
version_str = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
@ -1711,11 +1711,13 @@ def read_config():
config = configparser.ConfigParser(strict=False)
config.read(manager_config_path)
default_conf = config['default']
manager_util.use_uv = default_conf['use_uv'].lower() == 'true' if 'use_uv' in default_conf else False
def get_bool(key, default_value):
return default_conf[key].lower() == 'true' if key in default_conf else False
manager_util.use_uv = default_conf['use_uv'].lower() == 'true' if 'use_uv' in default_conf else False
manager_util.bypass_ssl = get_bool('bypass_ssl', False)
return {
'http_channel_enabled': get_bool('http_channel_enabled', False),
'preview_method': default_conf.get('preview_method', manager_funcs.get_current_preview_method()).lower(),
@ -1738,16 +1740,20 @@ def read_config():
}
except Exception:
manager_util.use_uv = False
import importlib.util
# temporary disable `uv` on Windows by default (https://github.com/Comfy-Org/ComfyUI-Manager/issues/1969)
manager_util.use_uv = importlib.util.find_spec("uv") is not None and platform.system() != "Windows"
manager_util.bypass_ssl = False
return {
'http_channel_enabled': False,
'preview_method': manager_funcs.get_current_preview_method(),
'git_exe': '',
'use_uv': False,
'use_uv': manager_util.use_uv,
'channel_url': DEFAULT_CHANNEL,
'default_cache_as_channel_url': False,
'share_option': 'all',
'bypass_ssl': False,
'bypass_ssl': manager_util.bypass_ssl,
'file_logging': True,
'component_policy': 'workflow',
'update_policy': 'stable-comfyui',
@ -3108,6 +3114,11 @@ async def restore_snapshot(snapshot_path, git_helper_extras=None):
info = yaml.load(snapshot_file, Loader=yaml.SafeLoader)
info = info['custom_nodes']
if 'pips' in info and info['pips']:
pips = info['pips']
else:
pips = {}
# for cnr restore
cnr_info = info.get('cnr_custom_nodes')
if cnr_info is not None:
@ -3314,6 +3325,8 @@ 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)
manager_util.restore_pip_snapshot(pips, git_helper_extras)
# print summary
for x in cloned_repos:
print(f"[ INSTALLED ] {x}")

6
glob/manager_downloader.py
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@ -55,7 +55,11 @@ def download_url(model_url: str, model_dir: str, filename: str):
return aria2_download_url(model_url, model_dir, filename)
else:
from torchvision.datasets.utils import download_url as torchvision_download_url
return torchvision_download_url(model_url, model_dir, filename)
try:
return torchvision_download_url(model_url, model_dir, filename)
except Exception as e:
logging.error(f"[ComfyUI-Manager] Failed to download: {model_url} / {repr(e)}")
raise
def aria2_find_task(dir: str, filename: str):

2
glob/manager_server.py
View File

@ -589,7 +589,7 @@ async def task_worker():
return 'success'
except Exception as e:
logging.error(f"[ComfyUI-Manager] ERROR: {e}", file=sys.stderr)
logging.error(f"[ComfyUI-Manager] ERROR: {e}")
return f"Model installation error: {model_url}"

147
glob/manager_util.py
View File

@ -15,7 +15,6 @@ import re
import logging
import platform
import shlex
import cm_global
cache_lock = threading.Lock()
@ -24,7 +23,7 @@ comfyui_manager_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '
cache_dir = os.path.join(comfyui_manager_path, '.cache') # This path is also updated together in **manager_core.update_user_directory**.
use_uv = False
bypass_ssl = False
def add_python_path_to_env():
if platform.system() != "Windows":
@ -137,7 +136,7 @@ async def get_data(uri, silent=False):
print(f"FETCH DATA from: {uri}", end="")
if uri.startswith("http"):
async with aiohttp.ClientSession(trust_env=True, connector=aiohttp.TCPConnector(verify_ssl=False)) as session:
async with aiohttp.ClientSession(trust_env=True, connector=aiohttp.TCPConnector(verify_ssl=not bypass_ssl)) as session:
headers = {
'Cache-Control': 'no-cache',
'Pragma': 'no-cache',
@ -327,6 +326,32 @@ torch_torchvision_torchaudio_version_map = {
}
def torch_rollback(prev):
spec = prev.split('+')
if len(spec) > 1:
platform = spec[1]
else:
cmd = make_pip_cmd(['install', '--force', 'torch', 'torchvision', 'torchaudio'])
subprocess.check_output(cmd, universal_newlines=True)
logging.error(cmd)
return
torch_ver = StrictVersion(spec[0])
torch_ver = f"{torch_ver.major}.{torch_ver.minor}.{torch_ver.patch}"
torch_torchvision_torchaudio_ver = torch_torchvision_torchaudio_version_map.get(torch_ver)
if torch_torchvision_torchaudio_ver is None:
cmd = make_pip_cmd(['install', '--pre', 'torch', 'torchvision', 'torchaudio',
'--index-url', f"https://download.pytorch.org/whl/nightly/{platform}"])
logging.info("[ComfyUI-Manager] restore PyTorch to nightly version")
else:
torchvision_ver, torchaudio_ver = torch_torchvision_torchaudio_ver
cmd = make_pip_cmd(['install', f'torch=={torch_ver}', f'torchvision=={torchvision_ver}', f"torchaudio=={torchaudio_ver}",
'--index-url', f"https://download.pytorch.org/whl/{platform}"])
logging.info(f"[ComfyUI-Manager] restore PyTorch to {torch_ver}+{platform}")
subprocess.check_output(cmd, universal_newlines=True)
class PIPFixer:
def __init__(self, prev_pip_versions, comfyui_path, manager_files_path):
@ -334,32 +359,6 @@ class PIPFixer:
self.comfyui_path = comfyui_path
self.manager_files_path = manager_files_path
def torch_rollback(self):
spec = self.prev_pip_versions['torch'].split('+')
if len(spec) > 0:
platform = spec[1]
else:
cmd = make_pip_cmd(['install', '--force', 'torch', 'torchvision', 'torchaudio'])
subprocess.check_output(cmd, universal_newlines=True)
logging.error(cmd)
return
torch_ver = StrictVersion(spec[0])
torch_ver = f"{torch_ver.major}.{torch_ver.minor}.{torch_ver.patch}"
torch_torchvision_torchaudio_ver = torch_torchvision_torchaudio_version_map.get(torch_ver)
if torch_torchvision_torchaudio_ver is None:
cmd = make_pip_cmd(['install', '--pre', 'torch', 'torchvision', 'torchaudio',
'--index-url', f"https://download.pytorch.org/whl/nightly/{platform}"])
logging.info("[ComfyUI-Manager] restore PyTorch to nightly version")
else:
torchvision_ver, torchaudio_ver = torch_torchvision_torchaudio_ver
cmd = make_pip_cmd(['install', f'torch=={torch_ver}', f'torchvision=={torchvision_ver}', f"torchaudio=={torchaudio_ver}",
'--index-url', f"https://download.pytorch.org/whl/{platform}"])
logging.info(f"[ComfyUI-Manager] restore PyTorch to {torch_ver}+{platform}")
subprocess.check_output(cmd, universal_newlines=True)
def fix_broken(self):
new_pip_versions = get_installed_packages(True)
@ -381,7 +380,7 @@ class PIPFixer:
elif self.prev_pip_versions['torch'] != new_pip_versions['torch'] \
or self.prev_pip_versions['torchvision'] != new_pip_versions['torchvision'] \
or self.prev_pip_versions['torchaudio'] != new_pip_versions['torchaudio']:
self.torch_rollback()
torch_rollback(self.prev_pip_versions['torch'])
except Exception as e:
logging.error("[ComfyUI-Manager] Failed to restore PyTorch")
logging.error(e)
@ -412,32 +411,14 @@ 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}"])
subprocess.check_output(cmd, universal_newlines=True)
logging.info(f"[ComfyUI-Manager] 'opencv' dependencies were fixed: {targets}")
except Exception as e:
logging.error("[ComfyUI-Manager] Failed to restore opencv")
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)
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:
# NOTE: package name in requirements is 'comfyui-frontend-package'
@ -537,3 +518,69 @@ def robust_readlines(fullpath):
print(f"[ComfyUI-Manager] Failed to recognize encoding for: {fullpath}")
return []
def restore_pip_snapshot(pips, options):
non_url = []
local_url = []
non_local_url = []
for k, v in pips.items():
# NOTE: skip torch related packages
if k.startswith("torch==") or k.startswith("torchvision==") or k.startswith("torchaudio==") or k.startswith("nvidia-"):
continue
if v == "":
non_url.append(k)
else:
if v.startswith('file:'):
local_url.append(v)
else:
non_local_url.append(v)
# restore other pips
failed = []
if '--pip-non-url' in options:
# try all at once
res = 1
try:
res = subprocess.check_output(make_pip_cmd(['install'] + non_url))
except Exception:
pass
# fallback
if res != 0:
for x in non_url:
res = 1
try:
res = subprocess.check_output(make_pip_cmd(['install', '--no-deps', x]))
except Exception:
pass
if res != 0:
failed.append(x)
if '--pip-non-local-url' in options:
for x in non_local_url:
res = 1
try:
res = subprocess.check_output(make_pip_cmd(['install', '--no-deps', x]))
except Exception:
pass
if res != 0:
failed.append(x)
if '--pip-local-url' in options:
for x in local_url:
res = 1
try:
res = subprocess.check_output(make_pip_cmd(['install', '--no-deps', x]))
except Exception:
pass
if res != 0:
failed.append(x)
print(f"Installation failed for pip packages: {failed}")

19
glob/security_check.py
View File

@ -73,13 +73,18 @@ https://blog.comfy.org/comfyui-statement-on-the-ultralytics-crypto-miner-situati
detected = set()
try:
anthropic_info = subprocess.check_output(manager_util.make_pip_cmd(["show", "anthropic"]), text=True, stderr=subprocess.DEVNULL)
anthropic_reqs = [x for x in anthropic_info.split('\n') if x.startswith("Requires")][0].split(': ')[1]
if "pycrypto" in anthropic_reqs:
location = [x for x in anthropic_info.split('\n') if x.startswith("Location")][0].split(': ')[1]
for fi in os.listdir(location):
if fi.startswith("anthropic"):
guide["ComfyUI_LLMVISION"] = f"\n0.Remove {os.path.join(location, fi)}" + guide["ComfyUI_LLMVISION"]
detected.add("ComfyUI_LLMVISION")
requires_lines = [x for x in anthropic_info.split('\n') if x.startswith("Requires")]
if requires_lines:
anthropic_reqs = requires_lines[0].split(": ", 1)[1]
if "pycrypto" in anthropic_reqs:
location_lines = [x for x in anthropic_info.split('\n') if x.startswith("Location")]
if location_lines:
location = location_lines[0].split(": ", 1)[1]
for fi in os.listdir(location):
if fi.startswith("anthropic"):
guide["ComfyUI_LLMVISION"] = (f"\n0.Remove {os.path.join(location, fi)}" + guide["ComfyUI_LLMVISION"])
detected.add("ComfyUI_LLMVISION")
except subprocess.CalledProcessError:
pass

77
glob/share_3rdparty.py
View File

@ -335,8 +335,7 @@ async def share_art(request):
content_type = assetFileType
try:
from matrix_client.api import MatrixHttpApi
from matrix_client.client import MatrixClient
from nio import AsyncClient, LoginResponse, UploadResponse
homeserver = 'matrix.org'
if matrix_auth:
@ -345,20 +344,35 @@ async def share_art(request):
if not homeserver.startswith("https://"):
homeserver = "https://" + homeserver
client = MatrixClient(homeserver)
try:
token = client.login(username=matrix_auth['username'], password=matrix_auth['password'])
if not token:
return web.json_response({"error": "Invalid Matrix credentials."}, content_type='application/json', status=400)
except:
client = AsyncClient(homeserver, matrix_auth['username'])
# Login
login_resp = await client.login(matrix_auth['password'])
if not isinstance(login_resp, LoginResponse) or not login_resp.access_token:
await client.close()
return web.json_response({"error": "Invalid Matrix credentials."}, content_type='application/json', status=400)
matrix = MatrixHttpApi(homeserver, token=token)
# Upload asset
with open(asset_filepath, 'rb') as f:
mxc_url = matrix.media_upload(f.read(), content_type, filename=filename)['content_uri']
upload_resp, _maybe_keys = await client.upload(f, content_type=content_type, filename=filename)
asset_data = f.seek(0) or f.read() # get size for info below
if not isinstance(upload_resp, UploadResponse) or not upload_resp.content_uri:
await client.close()
return web.json_response({"error": "Failed to upload asset to Matrix."}, content_type='application/json', status=500)
mxc_url = upload_resp.content_uri
workflow_json_mxc_url = matrix.media_upload(prompt['workflow'], 'application/json', filename='workflow.json')['content_uri']
# Upload workflow JSON
import io
workflow_json_bytes = json.dumps(prompt['workflow']).encode('utf-8')
workflow_io = io.BytesIO(workflow_json_bytes)
upload_workflow_resp, _maybe_keys = await client.upload(workflow_io, content_type='application/json', filename='workflow.json')
workflow_io.seek(0)
if not isinstance(upload_workflow_resp, UploadResponse) or not upload_workflow_resp.content_uri:
await client.close()
return web.json_response({"error": "Failed to upload workflow to Matrix."}, content_type='application/json', status=500)
workflow_json_mxc_url = upload_workflow_resp.content_uri
# Send text message
text_content = ""
if title:
text_content += f"{title}\n"
@ -366,9 +380,44 @@ async def share_art(request):
text_content += f"{description}\n"
if credits:
text_content += f"\ncredits: {credits}\n"
matrix.send_message(comfyui_share_room_id, text_content)
matrix.send_content(comfyui_share_room_id, mxc_url, filename, 'm.image')
matrix.send_content(comfyui_share_room_id, workflow_json_mxc_url, 'workflow.json', 'm.file')
await client.room_send(
room_id=comfyui_share_room_id,
message_type="m.room.message",
content={"msgtype": "m.text", "body": text_content}
)
# Send image
await client.room_send(
room_id=comfyui_share_room_id,
message_type="m.room.message",
content={
"msgtype": "m.image",
"body": filename,
"url": mxc_url,
"info": {
"mimetype": content_type,
"size": len(asset_data)
}
}
)
# Send workflow JSON file
await client.room_send(
room_id=comfyui_share_room_id,
message_type="m.room.message",
content={
"msgtype": "m.file",
"body": "workflow.json",
"url": workflow_json_mxc_url,
"info": {
"mimetype": "application/json",
"size": len(workflow_json_bytes)
}
}
)
await client.close()
except:
import traceback
traceback.print_exc()

277
js/comfyui-share-copus.js
View File

@ -71,7 +71,7 @@ export class CopusShareDialog extends ComfyDialog {
this.allFiles = [];
this.titleNum = 0;
}
createButtons() {
const inputStyle = {
display: "block",
@ -201,13 +201,15 @@ export class CopusShareDialog extends ComfyDialog {
});
this.LockInput = $el("input", {
type: "text",
placeholder: "",
style: {
placeholder: "0",
style: {
width: "100px",
padding: "7px",
paddingLeft: "30px",
borderRadius: "4px",
border: "1px solid #ddd",
boxSizing: "border-box",
position: "relative",
},
oninput: (event) => {
let input = event.target.value;
@ -301,7 +303,7 @@ export class CopusShareDialog extends ComfyDialog {
},
[]
);
const titleNumDom = $el(
"label",
{
@ -342,15 +344,11 @@ export class CopusShareDialog extends ComfyDialog {
["0/70"]
);
// Additional Inputs Section
const additionalInputsSection = $el(
"div",
{ style: { ...sectionStyle, } },
[
$el("label", { style: labelStyle }, ["3️⃣ Title "]),
this.TitleInput,
titleNumDom,
]
);
const additionalInputsSection = $el("div", { style: { ...sectionStyle } }, [
$el("label", { style: labelStyle }, ["3️⃣ Title "]),
this.TitleInput,
titleNumDom,
]);
const SubtitleSection = $el("div", { style: sectionStyle }, [
$el("label", { style: labelStyle }, ["4️⃣ Subtitle "]),
this.SubTitleInput,
@ -379,7 +377,7 @@ export class CopusShareDialog extends ComfyDialog {
});
const blockChainSection_lock = $el("div", { style: sectionStyle }, [
$el("label", { style: labelStyle }, ["6️⃣ Pay to download"]),
$el("label", { style: labelStyle }, ["6️⃣ Download threshold"]),
$el(
"label",
{
@ -392,11 +390,42 @@ export class CopusShareDialog extends ComfyDialog {
},
[
this.radioButtonsCheck_lock,
$el("div", { style: { marginLeft: "5px" ,display:'flex',alignItems:'center'} }, [
$el("span", { style: { marginLeft: "5px" } }, ["ON"]),
$el("span", { style: { marginLeft: "20px",marginRight:'10px' ,color:'#fff'} }, ["Price US$"]),
this.LockInput
]),
$el(
"div",
{
style: {
marginLeft: "5px",
display: "flex",
alignItems: "center",
position: "relative",
},
},
[
$el("span", { style: { marginLeft: "5px" } }, ["ON"]),
$el(
"span",
{
style: {
marginLeft: "20px",
marginRight: "10px",
color: "#fff",
},
},
["Unlock with"]
),
$el("img", {
style: {
width: "16px",
height: "16px",
position: "absolute",
right: "75px",
zIndex: "100",
},
src: "https://static.copus.io/images/admin/202507/prod/e2919a1d8f3c2d99d3b8fe27ff94b841.png",
}),
this.LockInput,
]
),
]
),
$el(
@ -404,14 +433,25 @@ export class CopusShareDialog extends ComfyDialog {
{ style: { display: "flex", alignItems: "center", cursor: "pointer" } },
[
this.radioButtonsCheckOff_lock,
$el("span", { style: { marginLeft: "5px" } }, ["OFF"]),
$el(
"div",
{
style: {
marginLeft: "5px",
display: "flex",
alignItems: "center",
},
},
[$el("span", { style: { marginLeft: "5px" } }, ["OFF"])]
),
]
),
$el(
"p",
{ style: { fontSize: "16px", color: "#fff", margin: "10px 0 0 0" } },
["Get paid from your workflow. You can change the price and withdraw your earnings on Copus."]
[
]
),
]);
@ -432,7 +472,7 @@ export class CopusShareDialog extends ComfyDialog {
});
const blockChainSection = $el("div", { style: sectionStyle }, [
$el("label", { style: labelStyle }, ["7️⃣ Store on blockchain "]),
$el("label", { style: labelStyle }, ["8️⃣ Store on blockchain "]),
$el(
"label",
{
@ -463,6 +503,139 @@ export class CopusShareDialog extends ComfyDialog {
),
]);
this.ratingRadioButtonsCheck0 = $el("input", {
type: "radio",
name: "content_rating",
value: "0",
id: "content_rating0",
});
this.ratingRadioButtonsCheck1 = $el("input", {
type: "radio",
name: "content_rating",
value: "1",
id: "content_rating1",
});
this.ratingRadioButtonsCheck2 = $el("input", {
type: "radio",
name: "content_rating",
value: "2",
id: "content_rating2",
});
this.ratingRadioButtonsCheck_1 = $el("input", {
type: "radio",
name: "content_rating",
value: "-1",
id: "content_rating_1",
checked: true,
});
// content rating
const contentRatingSection = $el("div", { style: sectionStyle }, [
$el("label", { style: labelStyle }, ["7️⃣ Content rating "]),
$el(
"label",
{
style: {
marginTop: "10px",
display: "flex",
alignItems: "center",
cursor: "pointer",
},
},
[
this.ratingRadioButtonsCheck0,
$el("img", {
style: {
width: "12px",
height: "12px",
marginLeft: "5px",
},
src: "https://static.copus.io/images/client/202507/test/b9f17da83b054d53cd0cb4508c2c30dc.png",
}),
$el("span", { style: { marginLeft: "5px", color: "#fff" } }, [
"All ages",
]),
]
),
$el(
"p",
{ style: { fontSize: "10px", color: "#fff", marginLeft: "20px" } },
["Safe for all viewers; no profanity, violence, or mature themes."]
),
$el(
"label",
{ style: { display: "flex", alignItems: "center", cursor: "pointer" } },
[
this.ratingRadioButtonsCheck1,
$el("img", {
style: {
width: "12px",
height: "12px",
marginLeft: "5px",
},
src: "https://static.copus.io/images/client/202507/test/7848bc0d3690671df21c7cf00c4cfc81.png",
}),
$el("span", { style: { marginLeft: "5px", color: "#fff" } }, [
"13+ (Teen)",
]),
]
),
$el(
"p",
{ style: { fontSize: "10px", color: "#fff", marginLeft: "20px" } },
[
"Mild language, light themes, or cartoon violence; no explicit content. ",
]
),
$el(
"label",
{ style: { display: "flex", alignItems: "center", cursor: "pointer" } },
[
this.ratingRadioButtonsCheck2,
$el("img", {
style: {
width: "12px",
height: "12px",
marginLeft: "5px",
},
src: "https://static.copus.io/images/client/202507/test/bc51839c208d68d91173e43c23bff039.png",
}),
$el("span", { style: { marginLeft: "5px", color: "#fff" } }, [
"18+ (Explicit)",
]),
]
),
$el(
"p",
{ style: { fontSize: "10px", color: "#fff", marginLeft: "20px" } },
[
"Explicit content, including sexual content, strong violence, or intense themes. ",
]
),
$el(
"label",
{ style: { display: "flex", alignItems: "center", cursor: "pointer" } },
[
this.ratingRadioButtonsCheck_1,
$el("img", {
style: {
width: "12px",
height: "12px",
marginLeft: "5px",
},
src: "https://static.copus.io/images/client/202507/test/5c802fdcaaea4e7bbed37393eec0d5ba.png",
}),
$el("span", { style: { marginLeft: "5px", color: "#fff" } }, [
"Not Rated",
]),
]
),
$el(
"p",
{ style: { fontSize: "10px", color: "#fff", marginLeft: "20px" } },
["No age rating provided."]
),
]);
// Message Section
this.message = $el(
@ -526,6 +699,7 @@ export class CopusShareDialog extends ComfyDialog {
DescriptionSection,
// contestSection,
blockChainSection_lock,
contentRatingSection,
blockChainSection,
this.message,
buttonsSection,
@ -534,7 +708,7 @@ export class CopusShareDialog extends ComfyDialog {
return layout;
}
/**
* api
* api
* @param {url} path
* @param {params} options
* @param {statusText} statusText
@ -587,7 +761,9 @@ export class CopusShareDialog extends ComfyDialog {
url: data,
});
} else {
throw new Error("make sure your API key is correct and try again later");
throw new Error(
"make sure your API key is correct and try again later"
);
}
} catch (e) {
if (e?.response?.status === 413) {
@ -628,8 +804,15 @@ export class CopusShareDialog extends ComfyDialog {
subTitle: this.SubTitleInput.value,
content: this.descriptionInput.value,
storeOnChain: this.radioButtonsCheck.checked ? true : false,
lockState:this.radioButtonsCheck_lock.checked ? 2 : 0,
unlockPrice:this.LockInput.value,
lockState: this.radioButtonsCheck_lock.checked ? 2 : 0,
unlockPrice: this.LockInput.value,
rating: this.ratingRadioButtonsCheck0.checked
? 0
: this.ratingRadioButtonsCheck1.checked
? 1
: this.ratingRadioButtonsCheck2.checked
? 2
: -1,
};
if (!this.keyInput.value) {
@ -644,8 +827,8 @@ export class CopusShareDialog extends ComfyDialog {
throw new Error("Title is required");
}
if(this.radioButtonsCheck_lock.checked){
if (!this.LockInput.value){
if (this.radioButtonsCheck_lock.checked) {
if (!this.LockInput.value) {
throw new Error("Price is required");
}
}
@ -695,23 +878,23 @@ export class CopusShareDialog extends ComfyDialog {
"Uploading workflow..."
);
if (res.status && res.data.status && res.data) {
localStorage.setItem("copus_token",this.keyInput.value);
const { data } = res.data;
if (data) {
const url = `${DEFAULT_HOMEPAGE_URL}/work/${data}`;
this.message.innerHTML = `Workflow has been shared successfully. <a href="${url}" target="_blank">Click here to view it.</a>`;
this.previewImage.src = "";
this.previewImage.style.display = "none";
this.uploadedImages = [];
this.allFilesImages = [];
this.allFiles = [];
this.TitleInput.value = "";
this.SubTitleInput.value = "";
this.descriptionInput.value = "";
this.selectedFile = null;
}
}
if (res.status && res.data.status && res.data) {
localStorage.setItem("copus_token", this.keyInput.value);
const { data } = res.data;
if (data) {
const url = `${DEFAULT_HOMEPAGE_URL}/work/${data}`;
this.message.innerHTML = `Workflow has been shared successfully. <a href="${url}" target="_blank">Click here to view it.</a>`;
this.previewImage.src = "";
this.previewImage.style.display = "none";
this.uploadedImages = [];
this.allFilesImages = [];
this.allFiles = [];
this.TitleInput.value = "";
this.SubTitleInput.value = "";
this.descriptionInput.value = "";
this.selectedFile = null;
}
}
} catch (e) {
throw new Error("Error sharing workflow: " + e.message);
}
@ -757,7 +940,7 @@ export class CopusShareDialog extends ComfyDialog {
this.element.style.display = "block";
this.previewImage.src = "";
this.previewImage.style.display = "none";
this.keyInput.value = apiToken!=null?apiToken:"";
this.keyInput.value = apiToken != null ? apiToken : "";
this.uploadedImages = [];
this.allFilesImages = [];
this.allFiles = [];

278
model-list.json
View File

@ -1973,6 +1973,97 @@
"url": "https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth",
"size": "375.0MB"
},
{
"name": "sam2.1_hiera_tiny.pt",
"type": "sam2.1",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2.1 hiera model (tiny)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2.1_hiera_tiny.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_tiny.pt",
"size": "149.0MB"
},
{
"name": "sam2.1_hiera_small.pt",
"type": "sam2.1",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2.1 hiera model (small)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2.1_hiera_small.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_small.pt",
"size": "176.0MB"
},
{
"name": "sam2.1_hiera_base_plus.pt",
"type": "sam2.1",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2.1 hiera model (base+)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2.1_hiera_base_plus.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_base_plus.pt",
"size": "309.0MB"
},
{
"name": "sam2.1_hiera_large.pt",
"type": "sam2.1",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2.1 hiera model (large)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2.1_hiera_large.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_large.pt",
"size": "857.0MB"
},
{
"name": "sam2_hiera_tiny.pt",
"type": "sam2",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2 hiera model (tiny)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2_hiera_tiny.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_tiny.pt",
"size": "149.0MB"
},
{
"name": "sam2_hiera_small.pt",
"type": "sam2",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2 hiera model (small)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2_hiera_small.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_small.pt",
"size": "176.0MB"
},
{
"name": "sam2_hiera_base_plus.pt",
"type": "sam2",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2 hiera model (base+)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2_hiera_base_plus.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_base_plus.pt",
"size": "309.0MB"
},
{
"name": "sam2_hiera_large.pt",
"type": "sam2",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2 hiera model (large)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2_hiera_large.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_large.pt",
"size": "857.0MB"
},
{
"name": "seecoder v1.0",
"type": "seecoder",
@ -4954,6 +5045,105 @@
"size": "1.26GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v high noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v high noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_high_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v high noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v high noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v low noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v low noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_low_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v low noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v low noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v high noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v high noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_high_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v high noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v high noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v low noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v low noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_low_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v low noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v low noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 ti2v 5B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for ti2v 5B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_ti2v_5B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_ti2v_5B_fp16.safetensors",
"size": "10.0GB"
},
{
"name": "Comfy-Org/umt5_xxl_fp16.safetensors",
@ -5056,6 +5246,50 @@
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled-fp8.safetensors",
"size": "15.7GB"
},
{
"name": "LTX-Video 2B Distilled v0.9.8",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "LTX-Video 2B distilled model v0.9.8 with improved prompt understanding and detail generation.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-2b-0.9.8-distilled.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-2b-0.9.8-distilled.safetensors",
"size": "6.34GB"
},
{
"name": "LTX-Video 2B Distilled FP8 v0.9.8",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Quantized LTX-Video 2B distilled model v0.9.8 with improved prompt understanding and detail generation, optimized for lower VRAM usage.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-2b-0.9.8-distilled-fp8.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-2b-0.9.8-distilled-fp8.safetensors",
"size": "4.46GB"
},
{
"name": "LTX-Video 13B Distilled v0.9.8",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "LTX-Video 13B distilled model v0.9.8 with improved prompt understanding and detail generation.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.8-distilled.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.8-distilled.safetensors",
"size": "28.6GB"
},
{
"name": "LTX-Video 13B Distilled FP8 v0.9.8",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "Quantized LTX-Video 13B distilled model v0.9.8 with improved prompt understanding and detail generation, optimized for lower VRAM usage.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltxv-13b-0.9.8-distilled-fp8.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.8-distilled-fp8.safetensors",
"size": "15.7GB"
},
{
"name": "LTX-Video 13B Distilled LoRA v0.9.7",
"type": "lora",
@ -5067,6 +5301,50 @@
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltxv-13b-0.9.7-distilled-lora128.safetensors",
"size": "1.33GB"
},
{
"name": "LTX-Video ICLoRA Depth 13B v0.9.7",
"type": "lora",
"base": "LTX-Video",
"save_path": "loras",
"description": "In-Context LoRA (IC LoRA) for depth-controlled video-to-video generation with precise depth conditioning.",
"reference": "https://huggingface.co/Lightricks/LTX-Video-ICLoRA-depth-13b-0.9.7",
"filename": "ltxv-097-ic-lora-depth-control-comfyui.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video-ICLoRA-depth-13b-0.9.7/resolve/main/ltxv-097-ic-lora-depth-control-comfyui.safetensors",
"size": "81.9MB"
},
{
"name": "LTX-Video ICLoRA Pose 13B v0.9.7",
"type": "lora",
"base": "LTX-Video",
"save_path": "loras",
"description": "In-Context LoRA (IC LoRA) for pose-controlled video-to-video generation with precise pose conditioning.",
"reference": "https://huggingface.co/Lightricks/LTX-Video-ICLoRA-pose-13b-0.9.7",
"filename": "ltxv-097-ic-lora-pose-control-comfyui.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video-ICLoRA-pose-13b-0.9.7/resolve/main/ltxv-097-ic-lora-pose-control-comfyui.safetensors",
"size": "151MB"
},
{
"name": "LTX-Video ICLoRA Canny 13B v0.9.7",
"type": "lora",
"base": "LTX-Video",
"save_path": "loras",
"description": "In-Context LoRA (IC LoRA) for canny edge-controlled video-to-video generation with precise edge conditioning.",
"reference": "https://huggingface.co/Lightricks/LTX-Video-ICLoRA-canny-13b-0.9.7",
"filename": "ltxv-097-ic-lora-canny-control-comfyui.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video-ICLoRA-canny-13b-0.9.7/resolve/main/ltxv-097-ic-lora-canny-control-comfyui.safetensors",
"size": "81.9MB"
},
{
"name": "LTX-Video ICLoRA Detailer 13B v0.9.8",
"type": "lora",
"base": "LTX-Video",
"save_path": "loras",
"description": "A video detailer model on top of LTXV_13B_098_DEV trained on custom data using In-Context LoRA (IC LoRA) method.",
"reference": "https://huggingface.co/Lightricks/LTX-Video-ICLoRA-detailer-13b-0.9.8",
"filename": "ltxv-098-ic-lora-detailer-comfyui.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video-ICLoRA-detailer-13b-0.9.8/resolve/main/ltxv-098-ic-lora-detailer-comfyui.safetensors",
"size": "1.31GB"
},
{
"name": "Latent Bridge Matching for Image Relighting",
"type": "diffusion_model",

1170
node_db/dev/custom-node-list.json
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1999
node_db/dev/extension-node-map.json
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2317
node_db/dev/github-stats.json
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2
node_db/dev/scan.sh
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@ -1,3 +1,3 @@
#!/bin/bash
rm ~/.tmp/dev/*.py > /dev/null 2>&1
python ../../scanner.py ~/.tmp/dev
python ../../scanner.py ~/.tmp/dev $*

10
node_db/forked/custom-node-list.json
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@ -1,5 +1,15 @@
{
"custom_nodes": [
{
"author": "synchronicity-labs",
"title": "ComfyUI Sync Lipsync Node",
"reference": "https://github.com/synchronicity-labs/sync-comfyui",
"files": [
"https://github.com/synchronicity-labs/sync-comfyui"
],
"install_type": "git-clone",
"description": "This custom node allows you to perform audio-video lip synchronization inside ComfyUI using a simple interface."
},
{
"author": "joaomede",
"title": "ComfyUI-Unload-Model-Fork",

234
node_db/legacy/custom-node-list.json
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@ -1,5 +1,239 @@
{
"custom_nodes": [
{
"author": "chaunceyyann",
"title": "ComfyUI Image Processing Nodes [REMOVED]",
"reference": "https://github.com/chaunceyyann/comfyui-image-processing-nodes",
"files": [
"https://github.com/chaunceyyann/comfyui-image-processing-nodes"
],
"install_type": "git-clone",
"description": "A collection of custom nodes for ComfyUI focused on image processing operations."
},
{
"author": "OgreLemonSoup",
"title": "Gallery&Tabs [DEPRECATED]",
"id": "LoadImageGallery",
"reference": "https://github.com/OgreLemonSoup/ComfyUI-Load-Image-Gallery",
"files": [
"https://github.com/OgreLemonSoup/ComfyUI-Load-Image-Gallery"
],
"install_type": "git-clone",
"description": "Adds a gallery to the Load Image node and tabs for Load Checkpoint/Lora/etc nodes"
},
{
"author": "11dogzi",
"title": "Qwen-Image ComfyUI [REMOVED]",
"reference": "https://github.com/11dogzi/Comfyui-Qwen-Image",
"files": [
"https://github.com/11dogzi/Comfyui-Qwen-Image"
],
"install_type": "git-clone",
"description": "This is a custom node package that integrates the Qwen-Image model into ComfyUI."
},
{
"author": "BAIS1C",
"title": "ComfyUI-AudioDuration [REMOVED]",
"reference": "https://github.com/BAIS1C/ComfyUI_BASICDancePoser",
"files": [
"https://github.com/BAIS1C/ComfyUI_BASICDancePoser"
],
"install_type": "git-clone",
"description": "Node to extract Dance poses from Music to control Video Generations.\nNOTE: The files in the repo are not organized."
},
{
"author": "BAIS1C",
"title": "ComfyUI_BASICSAdvancedDancePoser [REMOVED]",
"reference": "https://github.com/BAIS1C/ComfyUI_BASICSAdvancedDancePoser",
"files": [
"https://github.com/BAIS1C/ComfyUI_BASICSAdvancedDancePoser"
],
"install_type": "git-clone",
"description": "Professional COCO-WholeBody 133-keypoint dance animation system for ComfyUI"
},
{
"author": "fablestudio",
"title": "ComfyUI-Showrunner-Utils [REMOVED]",
"reference": "https://github.com/fablestudio/ComfyUI-Showrunner-Utils",
"files": [
"https://github.com/fablestudio/ComfyUI-Showrunner-Utils"
],
"install_type": "git-clone",
"description": "NODES: Align Face, Generate Timestamp, GetMostCommonColors, Alpha Crop and Position Image, Shrink Image"
},
{
"author": "skayka",
"title": "ComfyUI-DreamFit [REMOVED]",
"reference": "https://github.com/skayka/ComfyUI-DreamFit",
"files": [
"https://github.com/skayka/ComfyUI-DreamFit"
],
"install_type": "git-clone",
"description": "Garment-centric human generation nodes for ComfyUI using DreamFit with Flux.\nDreamFit is a powerful adapter system that enhances Flux models with garment-aware generation capabilities, enabling high-quality fashion and clothing generation."
},
{
"author": "domenecmiralles",
"title": "obobo_nodes [REMOVED]",
"reference": "https://github.com/domenecmiralles/obobo_nodes",
"files": [
"https://github.com/domenecmiralles/obobo_nodes"
],
"install_type": "git-clone",
"description": "A collection of custom nodes for ComfyUI that provide various input and output capabilities."
},
{
"author": "NicholasKao1029",
"title": "comfyui-pixxio [REMOVED]",
"reference": "https://github.com/NicholasKao1029/comfyui-pixxio",
"files": [
"https://github.com/NicholasKao1029/comfyui-pixxio"
],
"install_type": "git-clone",
"description": "NODES: Auto-Upload Image to Pixxio Collection, Load Image from Pixx.io"
},
{
"author": "ComfyUI-Workflow",
"title": "ComfyUI OpenAI Nodes [REMOVED]",
"reference": "https://github.com/ComfyUI-Workflow/ComfyUI-OpenAI",
"files": [
"https://github.com/ComfyUI-Workflow/ComfyUI-OpenAI"
],
"install_type": "git-clone",
"description": "By utilizing OpenAI's powerful vision models, this node enables you to incorporate state-of-the-art image understanding into your ComfyUI projects with minimal setup."
},
{
"author": "dionren",
"title": "Export Workflow With Cyuai Api Available Nodes [REMOVED]",
"id": "comfyUI-Pro-Export-Tool",
"reference": "https://github.com/dionren/ComfyUI-Pro-Export-Tool",
"files": [
"https://github.com/dionren/ComfyUI-Pro-Export-Tool"
],
"install_type": "git-clone",
"description": "This is a node to convert workflows to cyuai api available nodes."
},
{
"author": "1H-hobit",
"title": "ComfyUI_InternVL3 [REMOVED]",
"reference": "https://github.com/1H-hobit/ComfyUI_InternVL3",
"files": [
"https://github.com/1H-hobit/ComfyUI_InternVL3"
],
"install_type": "git-clone",
"description": "ComfyUI for [a/InternVL](https://github.com/OpenGVLab/InternVL)"
},
{
"author": "spacepxl",
"title": "ComfyUI-Florence-2 [DEPRECATED]",
"id": "florence2-spacepxl",
"reference": "https://github.com/spacepxl/ComfyUI-Florence-2",
"files": [
"https://github.com/spacepxl/ComfyUI-Florence-2"
],
"install_type": "git-clone",
"description": "[a/https://huggingface.co/microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft)\nLarge or base model, support for captioning and bbox task modes, more coming soon."
},
{
"author": "xxxxxxxxxxxc",
"title": "flux-kontext-diff-merge [REMOVED]",
"reference": "https://github.com/xxxxxxxxxxxc/flux-kontext-diff-merge",
"files": [
"https://github.com/xxxxxxxxxxxc/flux-kontext-diff-merge"
],
"install_type": "git-clone",
"description": "Preserve image quality with flux-kontext-diff-merge. This ComfyUI node merges only changed areas from AI edits, ensuring clarity and detail."
},
{
"author": "TechnoByteJS",
"title": "TechNodes [REMOVED]",
"id": "technodes",
"reference": "https://github.com/TechnoByteJS/ComfyUI-TechNodes",
"files": [
"https://github.com/TechnoByteJS/ComfyUI-TechNodes"
],
"install_type": "git-clone",
"description": "ComfyUI nodes for merging, testing and more.\nNOTE: SDNext Merge, VAE Merge, MBW Layers, Repeat VAE, Quantization."
},
{
"author": "DDDDEEP",
"title": "ComfyUI-DDDDEEP [REMOVED]",
"reference": "https://github.com/DDDDEEP/ComfyUI-DDDDEEP",
"files": [
"https://github.com/DDDDEEP/ComfyUI-DDDDEEP"
],
"install_type": "git-clone",
"description": "NODES: AutoWidthHeight, ReturnIntSeed, OppositeBool, PromptItemCollection"
},
{
"author": "manifestations",
"title": "ComfyUI Ethnic Outfits Custom Nodes [REMOVED]",
"reference": "https://github.com/manifestations/comfyui-outfits",
"files": [
"https://github.com/manifestations/comfyui-outfits"
],
"install_type": "git-clone",
"description": "Custom ComfyUI nodes for generating outfit prompts representing diverse ethnicities, cultures, and regions. Uses extensible JSON data for clothing, accessories, and poses, with “random/disabled” dropdowns for flexibility. Advanced prompt engineering is supported via Ollama LLM integration. Easily add new regions, ethnicities, or cultures by updating data files and creating lightweight node wrappers. Designed for artists, researchers, and developers seeking culturally rich, customizable prompt generation in ComfyUI workflows."
},
{
"author": "MitoshiroPJ",
"title": "ComfyUI Slothful Attention [REMOVED]",
"reference": "https://github.com/MitoshiroPJ/comfyui_slothful_attention",
"files": [
"https://github.com/MitoshiroPJ/comfyui_slothful_attention"
],
"install_type": "git-clone",
"description": "This custom node allow controlling output without training. The reducing method is similar to [a/Spatial-Reduction Attention](https://paperswithcode.com/method/spatial-reduction-attention)."
},
{
"author": "MitoshiroPJ",
"title": "comfyui_focal_sampler [REMOVED]",
"reference": "https://github.com/MitoshiroPJ/comfyui_focal_sampler",
"files": [
"https://github.com/MitoshiroPJ/comfyui_focal_sampler"
],
"install_type": "git-clone",
"description": "Apply additional sampling to specific area"
},
{
"author": "manifestations",
"title": "ComfyUI Ethnic Outfit & Prompt Enhancer Nodes [REMOVED]",
"reference": "https://github.com/manifestations/comfyui-indian-outfit",
"files": [
"https://github.com/manifestations/comfyui-indian-outfit"
],
"install_type": "git-clone",
"description": "Features:\n* Extensive options for Indian, Indonesian, and international clothing, jewelry, accessories, and styles\n* Multiple jewelry and accessory fields (with material support: gold, diamond, silver, leather, beads, etc.)\n* Support for tattoos, henna, hair styles, poses, shot types, lighting, and photography genres\n* Seamless prompt expansion using your own Ollama LLM instance\n* Modular, extensible JSON data files for easy customization"
},
{
"author": "coVISIONSld",
"title": "ComfyUI-OmniGen2 [REMOVED]",
"reference": "https://github.com/coVISIONSld/ComfyUI-OmniGen2",
"files": [
"https://github.com/coVISIONSld/ComfyUI-OmniGen2"
],
"install_type": "git-clone",
"description": "ComfyUI-OmniGen2 is a custom node package for the OmniGen2 model, enabling advanced text-to-image generation and visual understanding."
},
{
"author": "S4MUEL-404",
"title": "ComfyUI-S4Tool-Image-Overlay [REMOVED]",
"reference": "https://github.com/S4MUEL-404/ComfyUI-S4Tool-Image-Overlay",
"files": [
"https://github.com/S4MUEL-404/ComfyUI-S4Tool-Image-Overlay"
],
"install_type": "git-clone",
"description": "Quickly set up image overlay effects"
},
{
"author": "akspa0",
"title": "ComfyUI-FapMixPlus [REMOVED]",
"reference": "https://github.com/akspa0/ComfyUI-FapMixPlus",
"files": [
"https://github.com/akspa0/ComfyUI-FapMixPlus"
],
"install_type": "git-clone",
"description": "This is an audio processing script that applies soft limiting, optional loudness normalization, and optional slicing for transcription. It can also produce stereo-mixed outputs with optional audio appended to the end. The script organizes processed files into structured folders with sanitized filenames and retains original timestamps for continuity."
},
{
"author": "RedmondAI",
"title": "comfyui-tools [UNSAFE]",

953
node_db/new/custom-node-list.json
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4116
node_db/new/extension-node-map.json
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374
node_db/new/model-list.json
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@ -1,5 +1,196 @@
{
"models": [
{
"name": "Comfy-Org/Wan2.2 i2v high noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v high noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_high_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v high noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v high noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v low noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v low noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_low_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 i2v low noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for i2v low noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v high noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v high noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_high_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v high noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v high noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v low noise 14B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v low noise 14B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_low_noise_14B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp16.safetensors",
"size": "28.6GB"
},
{
"name": "Comfy-Org/Wan2.2 t2v low noise 14B (fp8_scaled)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for t2v low noise 14B (fp8_scaled)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors",
"size": "14.3GB"
},
{
"name": "Comfy-Org/Wan2.2 ti2v 5B (fp16)",
"type": "diffusion_model",
"base": "Wan2.2",
"save_path": "diffusion_models/Wan2.2",
"description": "Wan2.2 diffusion model for ti2v 5B (fp16)",
"reference": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"filename": "wan2.2_ti2v_5B_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_ti2v_5B_fp16.safetensors",
"size": "10.0GB"
},
{
"name": "sam2.1_hiera_tiny.pt",
"type": "sam2.1",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2.1 hiera model (tiny)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2.1_hiera_tiny.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_tiny.pt",
"size": "149.0MB"
},
{
"name": "sam2.1_hiera_small.pt",
"type": "sam2.1",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2.1 hiera model (small)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2.1_hiera_small.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_small.pt",
"size": "176.0MB"
},
{
"name": "sam2.1_hiera_base_plus.pt",
"type": "sam2.1",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2.1 hiera model (base+)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2.1_hiera_base_plus.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_base_plus.pt",
"size": "309.0MB"
},
{
"name": "sam2.1_hiera_large.pt",
"type": "sam2.1",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2.1 hiera model (large)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2.1_hiera_large.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_large.pt",
"size": "857.0MB"
},
{
"name": "sam2_hiera_tiny.pt",
"type": "sam2",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2 hiera model (tiny)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2_hiera_tiny.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_tiny.pt",
"size": "149.0MB"
},
{
"name": "sam2_hiera_small.pt",
"type": "sam2",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2 hiera model (small)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2_hiera_small.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_small.pt",
"size": "176.0MB"
},
{
"name": "sam2_hiera_base_plus.pt",
"type": "sam2",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2 hiera model (base+)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2_hiera_base_plus.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_base_plus.pt",
"size": "309.0MB"
},
{
"name": "sam2_hiera_large.pt",
"type": "sam2",
"base": "SAM",
"save_path": "sams",
"description": "Segmenty Anything SAM 2 hiera model (large)",
"reference": "https://github.com/facebookresearch/sam2#model-description",
"filename": "sam2_hiera_large.pt",
"url": "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_large.pt",
"size": "857.0MB"
},
{
"name": "Comfy-Org/omnigen2_fp16.safetensors",
"type": "diffusion_model",
@ -496,189 +687,6 @@
"filename": "llava_llama3_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/text_encoders/llava_llama3_fp16.safetensors",
"size": "16.1GB"
},
{
"name": "PixArt-Sigma-XL-2-512-MS.safetensors (diffusion)",
"type": "diffusion_model",
"base": "pixart-sigma",
"save_path": "diffusion_models/PixArt-Sigma",
"description": "PixArt-Sigma Diffusion model",
"reference": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
"filename": "PixArt-Sigma-XL-2-512-MS.safetensors",
"url": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-512-MS/resolve/main/transformer/diffusion_pytorch_model.safetensors",
"size": "2.44GB"
},
{
"name": "PixArt-Sigma-XL-2-1024-MS.safetensors (diffusion)",
"type": "diffusion_model",
"base": "pixart-sigma",
"save_path": "diffusion_models/PixArt-Sigma",
"description": "PixArt-Sigma Diffusion model",
"reference": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS",
"filename": "PixArt-Sigma-XL-2-1024-MS.safetensors",
"url": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS/resolve/main/transformer/diffusion_pytorch_model.safetensors",
"size": "2.44GB"
},
{
"name": "PixArt-XL-2-1024-MS.safetensors (diffusion)",
"type": "diffusion_model",
"base": "pixart-alpha",
"save_path": "diffusion_models/PixArt-Alpha",
"description": "PixArt-Alpha Diffusion model",
"reference": "https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS",
"filename": "PixArt-XL-2-1024-MS.safetensors",
"url": "https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS/resolve/main/transformer/diffusion_pytorch_model.safetensors",
"size": "2.45GB"
},
{
"name": "Comfy-Org/hunyuan_video_t2v_720p_bf16.safetensors",
"type": "diffusion_model",
"base": "Hunyuan Video",
"save_path": "diffusion_models/hunyuan_video",
"description": "Huyuan Video diffusion model. repackaged version.",
"reference": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged",
"filename": "hunyuan_video_t2v_720p_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/diffusion_models/hunyuan_video_t2v_720p_bf16.safetensors",
"size": "25.6GB"
},
{
"name": "Comfy-Org/hunyuan_video_vae_bf16.safetensors",
"type": "VAE",
"base": "Hunyuan Video",
"save_path": "VAE",
"description": "Huyuan Video VAE model. repackaged version.",
"reference": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged",
"filename": "hunyuan_video_vae_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/vae/hunyuan_video_vae_bf16.safetensors",
"size": "493MB"
},
{
"name": "LTX-Video 2B v0.9.1 Checkpoint",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 24 FPS videos at a 768x512 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltx-video-2b-v0.9.1.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltx-video-2b-v0.9.1.safetensors",
"size": "5.72GB"
},
{
"name": "XLabs-AI/flux-canny-controlnet-v3.safetensors",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "xlabs/controlnets",
"description": "ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs.",
"reference": "https://huggingface.co/XLabs-AI/flux-controlnet-collections",
"filename": "flux-canny-controlnet-v3.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-canny-controlnet-v3.safetensors",
"size": "1.49GB"
},
{
"name": "XLabs-AI/flux-depth-controlnet-v3.safetensors",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "xlabs/controlnets",
"description": "ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs.",
"reference": "https://huggingface.co/XLabs-AI/flux-controlnet-collections",
"filename": "flux-depth-controlnet-v3.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-depth-controlnet-v3.safetensors",
"size": "1.49GB"
},
{
"name": "XLabs-AI/flux-hed-controlnet-v3.safetensors",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "xlabs/controlnets",
"description": "ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs.",
"reference": "https://huggingface.co/XLabs-AI/flux-controlnet-collections",
"filename": "flux-hed-controlnet-v3.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-hed-controlnet-v3.safetensors",
"size": "1.49GB"
},
{
"name": "XLabs-AI/realism_lora.safetensors",
"type": "lora",
"base": "FLUX.1",
"save_path": "xlabs/loras",
"description": "A checkpoint with trained LoRAs for FLUX.1-dev model by Black Forest Labs",
"reference": "https://huggingface.co/XLabs-AI/flux-lora-collection",
"filename": "realism_lora.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-lora-collection/resolve/main/realism_lora.safetensors",
"size": "44.8MB"
},
{
"name": "XLabs-AI/art_lora.safetensors",
"type": "lora",
"base": "FLUX.1",
"save_path": "xlabs/loras",
"description": "A checkpoint with trained LoRAs for FLUX.1-dev model by Black Forest Labs",
"reference": "https://huggingface.co/XLabs-AI/flux-lora-collection",
"filename": "art_lora.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-lora-collection/resolve/main/scenery_lora.safetensors",
"size": "44.8MB"
},
{
"name": "XLabs-AI/mjv6_lora.safetensors",
"type": "lora",
"base": "FLUX.1",
"save_path": "xlabs/loras",
"description": "A checkpoint with trained LoRAs for FLUX.1-dev model by Black Forest Labs",
"reference": "https://huggingface.co/XLabs-AI/flux-lora-collection",
"filename": "mjv6_lora.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-lora-collection/resolve/main/mjv6_lora.safetensors",
"size": "44.8MB"
},
{
"name": "XLabs-AI/flux-ip-adapter",
"type": "lora",
"base": "FLUX.1",
"save_path": "xlabs/ipadapters",
"description": "A checkpoint with trained LoRAs for FLUX.1-dev model by Black Forest Labs",
"reference": "https://huggingface.co/XLabs-AI/flux-ip-adapter",
"filename": "ip_adapter.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-ip-adapter/resolve/main/ip_adapter.safetensors",
"size": "982MB"
},
{
"name": "stabilityai/SD3.5-Large-Controlnet-Blur",
"type": "controlnet",
"base": "SD3.5",
"save_path": "controlnet/SD3.5",
"description": "Blur Controlnet model for SD3.5 Large",
"reference": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets",
"filename": "sd3.5_large_controlnet_blur.safetensors",
"url": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets/resolve/main/sd3.5_large_controlnet_blur.safetensors",
"size": "8.65GB"
},
{
"name": "stabilityai/SD3.5-Large-Controlnet-Canny",
"type": "controlnet",
"base": "SD3.5",
"save_path": "controlnet/SD3.5",
"description": "Canny Controlnet model for SD3.5 Large",
"reference": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets",
"filename": "sd3.5_large_controlnet_canny.safetensors",
"url": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets/resolve/main/sd3.5_large_controlnet_canny.safetensors",
"size": "8.65GB"
},
{
"name": "stabilityai/SD3.5-Large-Controlnet-Depth",
"type": "controlnet",
"base": "SD3.5",
"save_path": "controlnet/SD3.5",
"description": "Depth Controlnet model for SD3.5 Large",
"reference": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets",
"filename": "sd3.5_large_controlnet_depth.safetensors",
"url": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets/resolve/main/sd3.5_large_controlnet_depth.safetensors",
"size": "8.65GB"
}
]
}

10
node_db/tutorial/custom-node-list.json
View File

@ -331,6 +331,16 @@
],
"description": "Dynamic Node examples for ComfyUI",
"install_type": "git-clone"
},
{
"author": "Jonathon-Doran",
"title": "remote-combo-demo",
"reference": "https://github.com/Jonathon-Doran/remote-combo-demo",
"files": [
"https://github.com/Jonathon-Doran/remote-combo-demo"
],
"install_type": "git-clone",
"description": "A minimal test suite demonstrating how remote COMBO inputs behave in ComfyUI, with and without force_input"
}
]
}

57
openapi.yaml
View File

@ -104,6 +104,38 @@ components:
type: boolean
description: Whether the queue is currently processing
ImportFailInfoBulkRequest:
type: object
properties:
cnr_ids:
type: array
items:
type: string
description: A list of CNR IDs to check.
urls:
type: array
items:
type: string
description: A list of repository URLs to check.
ImportFailInfoBulkResponse:
type: object
additionalProperties:
$ref: '#/components/schemas/ImportFailInfoItem'
description: >-
A dictionary where each key is a cnr_id or url from the request,
and the value is the corresponding error info.
ImportFailInfoItem:
oneOf:
- type: object
properties:
error:
type: string
traceback:
type: string
- type: "null"
securitySchemes:
securityLevel:
type: apiKey
@ -306,6 +338,31 @@ paths:
'400':
description: No information available
/v2/customnode/import_fail_info_bulk:
post:
summary: Get import failure info for multiple nodes
description: Retrieves recorded import failure information for a list of custom nodes.
tags:
- customnode
requestBody:
description: A list of CNR IDs or repository URLs to check.
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/ImportFailInfoBulkRequest'
responses:
'200':
description: A dictionary containing the import failure information.
content:
application/json:
schema:
$ref: '#/components/schemas/ImportFailInfoBulkResponse'
'400':
description: Bad Request. The request body is invalid.
'500':
description: Internal Server Error.
/customnode/install/git_url:
post:
summary: Install custom node via Git URL

8
prestartup_script.py
View File

@ -121,17 +121,11 @@ read_uv_mode()
security_check.security_check()
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 = {}
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'
if os.path.exists(manager_pip_blacklist_path):

4
pyproject.toml
View File

@ -1,9 +1,9 @@
[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 = "3.33.3"
version = "3.35"
license = { file = "LICENSE.txt" }
dependencies = ["GitPython", "PyGithub", "matrix-client==0.4.0", "transformers", "huggingface-hub>0.20", "typer", "rich", "typing-extensions", "toml", "uv", "chardet"]
dependencies = ["GitPython", "PyGithub", "matrix-nio", "transformers", "huggingface-hub>0.20", "typer", "rich", "typing-extensions", "toml", "uv", "chardet"]
[project.urls]
Repository = "https://github.com/ltdrdata/ComfyUI-Manager"

2
requirements.txt
View File

@ -1,6 +1,6 @@
GitPython
PyGithub
matrix-client==0.4.0
matrix-nio
transformers
huggingface-hub>0.20
typer

15
scanner.py
View File

@ -255,13 +255,13 @@ def clone_or_pull_git_repository(git_url):
repo.git.submodule('update', '--init', '--recursive')
print(f"Pulling {repo_name}...")
except Exception as e:
print(f"Pulling {repo_name} failed: {e}")
print(f"Failed to pull '{repo_name}': {e}")
else:
try:
Repo.clone_from(git_url, repo_dir, recursive=True)
print(f"Cloning {repo_name}...")
except Exception as e:
print(f"Cloning {repo_name} failed: {e}")
print(f"Failed to clone '{repo_name}': {e}")
def update_custom_nodes():
@ -496,8 +496,15 @@ def gen_json(node_info):
nodes_in_url, metadata_in_url = data[git_url]
nodes = set(nodes_in_url)
for x, desc in node_list_json.items():
nodes.add(x.strip())
try:
for x, desc in node_list_json.items():
nodes.add(x.strip())
except Exception as e:
print(f"\nERROR: Invalid json format '{node_list_json_path}'")
print("------------------------------------------------------")
print(e)
print("------------------------------------------------------")
node_list_json = {}
metadata_in_url['title_aux'] = title