Merge remote-tracking branch 'upstream/master' into multitalk

This commit is contained in:
kijai 2025-10-23 23:37:30 +03:00
commit 4cbc1a626c
8 changed files with 133 additions and 8 deletions

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@ -201,6 +201,8 @@ Python 3.14 will work if you comment out the `kornia` dependency in the requirem
Python 3.13 is very well supported. If you have trouble with some custom node dependencies on 3.13 you can try 3.12
### Instructions:
Git clone this repo.
Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpoints

112
app/subgraph_manager.py Normal file
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@ -0,0 +1,112 @@
from __future__ import annotations
from typing import TypedDict
import os
import folder_paths
import glob
from aiohttp import web
import hashlib
class Source:
custom_node = "custom_node"
class SubgraphEntry(TypedDict):
source: str
"""
Source of subgraph - custom_nodes vs templates.
"""
path: str
"""
Relative path of the subgraph file.
For custom nodes, will be the relative directory like <custom_node_dir>/subgraphs/<name>.json
"""
name: str
"""
Name of subgraph file.
"""
info: CustomNodeSubgraphEntryInfo
"""
Additional info about subgraph; in the case of custom_nodes, will contain nodepack name
"""
data: str
class CustomNodeSubgraphEntryInfo(TypedDict):
node_pack: str
"""Node pack name."""
class SubgraphManager:
def __init__(self):
self.cached_custom_node_subgraphs: dict[SubgraphEntry] | None = None
async def load_entry_data(self, entry: SubgraphEntry):
with open(entry['path'], 'r') as f:
entry['data'] = f.read()
return entry
async def sanitize_entry(self, entry: SubgraphEntry | None, remove_data=False) -> SubgraphEntry | None:
if entry is None:
return None
entry = entry.copy()
entry.pop('path', None)
if remove_data:
entry.pop('data', None)
return entry
async def sanitize_entries(self, entries: dict[str, SubgraphEntry], remove_data=False) -> dict[str, SubgraphEntry]:
entries = entries.copy()
for key in list(entries.keys()):
entries[key] = await self.sanitize_entry(entries[key], remove_data)
return entries
async def get_custom_node_subgraphs(self, loadedModules, force_reload=False):
# if not forced to reload and cached, return cache
if not force_reload and self.cached_custom_node_subgraphs is not None:
return self.cached_custom_node_subgraphs
# Load subgraphs from custom nodes
subfolder = "subgraphs"
subgraphs_dict: dict[SubgraphEntry] = {}
for folder in folder_paths.get_folder_paths("custom_nodes"):
pattern = os.path.join(folder, f"*/{subfolder}/*.json")
matched_files = glob.glob(pattern)
for file in matched_files:
# replace backslashes with forward slashes
file = file.replace('\\', '/')
info: CustomNodeSubgraphEntryInfo = {
"node_pack": "custom_nodes." + file.split('/')[-3]
}
source = Source.custom_node
# hash source + path to make sure id will be as unique as possible, but
# reproducible across backend reloads
id = hashlib.sha256(f"{source}{file}".encode()).hexdigest()
entry: SubgraphEntry = {
"source": Source.custom_node,
"name": os.path.splitext(os.path.basename(file))[0],
"path": file,
"info": info,
}
subgraphs_dict[id] = entry
self.cached_custom_node_subgraphs = subgraphs_dict
return subgraphs_dict
async def get_custom_node_subgraph(self, id: str, loadedModules):
subgraphs = await self.get_custom_node_subgraphs(loadedModules)
entry: SubgraphEntry = subgraphs.get(id, None)
if entry is not None and entry.get('data', None) is None:
await self.load_entry_data(entry)
return entry
def add_routes(self, routes, loadedModules):
@routes.get("/global_subgraphs")
async def get_global_subgraphs(request):
subgraphs_dict = await self.get_custom_node_subgraphs(loadedModules)
# NOTE: we may want to include other sources of global subgraphs such as templates in the future;
# that's the reasoning for the current implementation
return web.json_response(await self.sanitize_entries(subgraphs_dict, remove_data=True))
@routes.get("/global_subgraphs/{id}")
async def get_global_subgraph(request):
id = request.match_info.get("id", None)
subgraph = await self.get_custom_node_subgraph(id, loadedModules)
return web.json_response(await self.sanitize_entry(subgraph))

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@ -330,14 +330,21 @@ except:
SUPPORT_FP8_OPS = args.supports_fp8_compute
AMD_RDNA2_AND_OLDER_ARCH = ["gfx1030", "gfx1031", "gfx1010", "gfx1011", "gfx1012", "gfx906", "gfx900", "gfx803"]
try:
if is_amd():
torch.backends.cudnn.enabled = False # Seems to improve things a lot on AMD
arch = torch.cuda.get_device_properties(get_torch_device()).gcnArchName
if not (any((a in arch) for a in AMD_RDNA2_AND_OLDER_ARCH)):
torch.backends.cudnn.enabled = False # Seems to improve things a lot on AMD
logging.info("Set: torch.backends.cudnn.enabled = False for better AMD performance.")
try:
rocm_version = tuple(map(int, str(torch.version.hip).split(".")[:2]))
except:
rocm_version = (6, -1)
arch = torch.cuda.get_device_properties(get_torch_device()).gcnArchName
logging.info("AMD arch: {}".format(arch))
logging.info("ROCm version: {}".format(rocm_version))
if args.use_split_cross_attention == False and args.use_quad_cross_attention == False:
@ -1330,7 +1337,7 @@ def should_use_bf16(device=None, model_params=0, prioritize_performance=True, ma
if is_amd():
arch = torch.cuda.get_device_properties(device).gcnArchName
if any((a in arch) for a in ["gfx1030", "gfx1031", "gfx1010", "gfx1011", "gfx1012", "gfx906", "gfx900", "gfx803"]): # RDNA2 and older don't support bf16
if any((a in arch) for a in AMD_RDNA2_AND_OLDER_ARCH): # RDNA2 and older don't support bf16
if manual_cast:
return True
return False

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@ -217,7 +217,8 @@ class ExecutionList(TopologicalSort):
def cache_update(self, node_id, value):
if node_id in self.execution_cache_listeners:
for to_node_id in self.execution_cache_listeners[node_id]:
self.execution_cache[to_node_id][node_id] = value
if to_node_id in self.execution_cache:
self.execution_cache[to_node_id][node_id] = value
def add_strong_link(self, from_node_id, from_socket, to_node_id):
super().add_strong_link(from_node_id, from_socket, to_node_id)

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@ -1,3 +1,3 @@
# This file is automatically generated by the build process when version is
# updated in pyproject.toml.
__version__ = "0.3.65"
__version__ = "0.3.66"

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@ -1,6 +1,6 @@
[project]
name = "ComfyUI"
version = "0.3.65"
version = "0.3.66"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.9"

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@ -1,5 +1,5 @@
comfyui-frontend-package==1.28.7
comfyui-workflow-templates==0.1.95
comfyui-workflow-templates==0.2.1
comfyui-embedded-docs==0.3.0
torch
torchsde

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@ -35,6 +35,7 @@ from comfy_api.internal import _ComfyNodeInternal
from app.user_manager import UserManager
from app.model_manager import ModelFileManager
from app.custom_node_manager import CustomNodeManager
from app.subgraph_manager import SubgraphManager
from typing import Optional, Union
from api_server.routes.internal.internal_routes import InternalRoutes
from protocol import BinaryEventTypes
@ -56,7 +57,7 @@ async def deprecation_warning(request: web.Request, handler):
"""Middleware to warn about deprecated frontend API paths"""
path = request.path
if (path.startswith('/scripts/') or path.startswith('/extensions/core/')):
if path.startswith("/scripts/ui") or path.startswith("/extensions/core/"):
# Only warn once per unique file path
if path not in _deprecated_paths_warned:
_deprecated_paths_warned.add(path)
@ -173,6 +174,7 @@ class PromptServer():
self.user_manager = UserManager()
self.model_file_manager = ModelFileManager()
self.custom_node_manager = CustomNodeManager()
self.subgraph_manager = SubgraphManager()
self.internal_routes = InternalRoutes(self)
self.supports = ["custom_nodes_from_web"]
self.prompt_queue = execution.PromptQueue(self)
@ -819,6 +821,7 @@ class PromptServer():
self.user_manager.add_routes(self.routes)
self.model_file_manager.add_routes(self.routes)
self.custom_node_manager.add_routes(self.routes, self.app, nodes.LOADED_MODULE_DIRS.items())
self.subgraph_manager.add_routes(self.routes, nodes.LOADED_MODULE_DIRS.items())
self.app.add_subapp('/internal', self.internal_routes.get_app())
# Prefix every route with /api for easier matching for delegation.