recurse when finding nodes in workflow

* Update custom-node-list.json

Added my custom node "AF-EditGeneratedPrompt", which let's one pipe a generated prompt, edit it, or use the node as a regular prompting node. Thank you for your efforts!

* Update custom-node-list.json

---------

Co-authored-by: Dr.Lt.Data <128333288+ltdrdata@users.noreply.github.com>

cm-cli.py

@@ -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():

glob/cnr_utils.py

@@ -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:

glob/manager_core.py

@@ -43,7 +43,7 @@ import manager_downloader
 from node_package import InstalledNodePackage
 
 
-version_code = [3, 33, 8]
+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(),
@@ -1741,7 +1743,8 @@ def read_config():
         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(),
@@ -1750,7 +1753,7 @@ def read_config():
             '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',
@@ -3111,6 +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:
@@ -3317,6 +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}")

glob/manager_downloader.py

@@ -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):

glob/manager_server.py

@@ -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}"
 

glob/manager_util.py

@@ -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}")

glob/security_check.py

@@ -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
 

glob/share_3rdparty.py

@@ -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()

js/comfyui-share-copus.js

@@ -201,13 +201,15 @@ export class CopusShareDialog extends ComfyDialog {
     });
     this.LockInput = $el("input", {
       type: "text",
-      placeholder: "",
+      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;
@@ -375,7 +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"]),
       $el(
         "label",
         {
@@ -395,6 +397,7 @@ export class CopusShareDialog extends ComfyDialog {
                 marginLeft: "5px",
                 display: "flex",
                 alignItems: "center",
+                position: "relative",
               },
             },
             [
@@ -408,8 +411,18 @@ export class CopusShareDialog extends ComfyDialog {
                     color: "#fff",
                   },
                 },
-                ["Price US$"]
+                ["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,
             ]
           ),
@@ -420,7 +433,7 @@ export class CopusShareDialog extends ComfyDialog {
         { style: { display: "flex", alignItems: "center", cursor: "pointer" } },
         [
           this.radioButtonsCheckOff_lock,
-            $el(
+          $el(
             "div",
             {
               style: {
@@ -429,9 +442,7 @@ export class CopusShareDialog extends ComfyDialog {
                 alignItems: "center",
               },
             },
-            [
-              $el("span", { style: { marginLeft: "5px" } }, ["OFF"]),
-            ]
+            [$el("span", { style: { marginLeft: "5px" } }, ["OFF"])]
           ),
         ]
       ),
@@ -440,7 +451,6 @@ export class CopusShareDialog extends ComfyDialog {
         "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.",
         ]
       ),
     ]);

js/custom-nodes-manager.js

@@ -1625,17 +1625,35 @@ export class CustomNodesManager {
 	getNodesInWorkflow() {
 		let usedGroupNodes = new Set();
 		let allUsedNodes = {};
+		const visitedGraphs = new Set();
 
-		for(let k in app.graph._nodes) {
-			let node = app.graph._nodes[k];
+		const visitGraph = (graph) => {
+			if (!graph || visitedGraphs.has(graph)) return;
+			visitedGraphs.add(graph);
 
-			if(node.type.startsWith('workflow>')) {
-				usedGroupNodes.add(node.type.slice(9));
-				continue;
+			const nodes = graph._nodes || graph.nodes || [];
+			for(let k in nodes) {
+				let node = nodes[k];
+				if (!node) continue;
+
+				// If it's a SubgraphNode, recurse into its graph and continue searching
+				if (node.isSubgraphNode?.() && node.subgraph) {
+					visitGraph(node.subgraph);
+				}
+
+				if (!node.type) continue;
+
+				// Group nodes / components
+				if(typeof node.type === 'string' && node.type.startsWith('workflow>')) {
+					usedGroupNodes.add(node.type.slice(9));
+					continue;
+				}
+
+				allUsedNodes[node.type] = node;
 			}
+		};
 
-			allUsedNodes[node.type] = node;
-		}
+		visitGraph(app.graph);
 
 		for(let k of usedGroupNodes) {
 			let subnodes = app.graph.extra.groupNodes[k]?.nodes;

model-list.json

@@ -5045,6 +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",
@@ -5147,6 +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",
@@ -5158,6 +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",

node_db/dev/scan.sh

@@ -1,3 +1,3 @@
 #!/bin/bash
 rm ~/.tmp/dev/*.py > /dev/null 2>&1
-python ../../scanner.py ~/.tmp/dev
+python ../../scanner.py ~/.tmp/dev $*

node_db/forked/custom-node-list.json

@@ -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",

node_db/legacy/custom-node-list.json

@@ -1,5 +1,179 @@
 {
     "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]",

node_db/new/model-list.json

@@ -1,5 +1,106 @@
 {
   "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",
@@ -586,109 +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"
     }
   ]
 }

node_db/tutorial/custom-node-list.json

@@ -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"
         }
     ]
 }

openapi.yaml

@@ -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

prestartup_script.py

@@ -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):

pyproject.toml

@@ -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 = "3.33.8"
+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"

requirements.txt

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

scanner.py

@@ -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