ComfyUI/main.py
guill 7d4530f6f5
Rework Caching (#2)
This commit solves a number of bugs and adds some caching related
functionality. Specifically:

1. Caching is now input-based. In cases of completely identical nodes,
   the output will be reused (for example, if you have multiple
   LoadCheckpoint nodes loading the same checkpoint). If a node doesn't
   want this behavior (e.g. a `RandomInteger` node, it should set
   `NOT_IDEMPOTENT = True`.
2. This means that nodes within a component will now be cached and will
   only change if the input actually changes. Note that types that can't
   be hashed by default will always count as changed (though the
   component itself will only expand if one of its inputs changes).
3. A new LRU caching strategy is now available by starting with
   `--cache-lru 100`. With this strategy, in addition to the latest
   workflow being cached, up to N (100 in the example) node outputs will
   be retained. This allows users to work on multiple workflows or
   experiment with different inputs without losing the benefits of
   caching (at the cost of more RAM and VRAM). I intentionally left some
   additional debug print statements in for this strategy for the
   moment.
4. A new endpoint `/debugcache` has been temporarily added to assist
   with tracking down issues people encounter. It allows you to browse
   the contents of the cache.
5. Outputs from ephemeral nodes will now be communicated to the
   front-end with both the ephemeral node id, the 'parent' node id, and
   the 'display' node id. The front-end has been updated to deal with
   this.
2023-09-11 19:53:41 -07:00

192 lines
6.6 KiB
Python

import os
import importlib.util
import folder_paths
import time
def execute_prestartup_script():
def execute_script(script_path):
module_name = os.path.splitext(script_path)[0]
try:
spec = importlib.util.spec_from_file_location(module_name, script_path)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
return True
except Exception as e:
print(f"Failed to execute startup-script: {script_path} / {e}")
return False
node_paths = folder_paths.get_folder_paths("custom_nodes")
for custom_node_path in node_paths:
possible_modules = os.listdir(custom_node_path)
node_prestartup_times = []
for possible_module in possible_modules:
module_path = os.path.join(custom_node_path, possible_module)
if os.path.isfile(module_path) or module_path.endswith(".disabled") or module_path == "__pycache__":
continue
script_path = os.path.join(module_path, "prestartup_script.py")
if os.path.exists(script_path):
time_before = time.perf_counter()
success = execute_script(script_path)
node_prestartup_times.append((time.perf_counter() - time_before, module_path, success))
if len(node_prestartup_times) > 0:
print("\nPrestartup times for custom nodes:")
for n in sorted(node_prestartup_times):
if n[2]:
import_message = ""
else:
import_message = " (PRESTARTUP FAILED)"
print("{:6.1f} seconds{}:".format(n[0], import_message), n[1])
print()
execute_prestartup_script()
# Main code
import asyncio
import itertools
import shutil
import threading
import gc
from comfy.cli_args import args
if os.name == "nt":
import logging
logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
if __name__ == "__main__":
if args.cuda_device is not None:
os.environ['CUDA_VISIBLE_DEVICES'] = str(args.cuda_device)
print("Set cuda device to:", args.cuda_device)
import cuda_malloc
import comfy.utils
import yaml
import execution
import server
from server import BinaryEventTypes
from nodes import init_custom_nodes
import comfy.model_management
def cuda_malloc_warning():
device = comfy.model_management.get_torch_device()
device_name = comfy.model_management.get_torch_device_name(device)
cuda_malloc_warning = False
if "cudaMallocAsync" in device_name:
for b in cuda_malloc.blacklist:
if b in device_name:
cuda_malloc_warning = True
if cuda_malloc_warning:
print("\nWARNING: this card most likely does not support cuda-malloc, if you get \"CUDA error\" please run ComfyUI with: --disable-cuda-malloc\n")
def prompt_worker(q, server):
e = execution.PromptExecutor(server, lru_size=args.cache_lru)
while True:
item, item_id = q.get()
execution_start_time = time.perf_counter()
prompt_id = item[1]
e.execute(item[2], prompt_id, item[3], item[4])
q.task_done(item_id, e.history_result)
if server.client_id is not None:
server.send_sync("executing", { "node": None, "prompt_id": prompt_id }, server.client_id)
print("Prompt executed in {:.2f} seconds".format(time.perf_counter() - execution_start_time))
gc.collect()
comfy.model_management.soft_empty_cache()
async def run(server, address='', port=8188, verbose=True, call_on_start=None):
await asyncio.gather(server.start(address, port, verbose, call_on_start), server.publish_loop())
def hijack_progress(server):
def hook(value, total, preview_image):
server.send_sync("progress", {"value": value, "max": total}, server.client_id)
if preview_image is not None:
server.send_sync(BinaryEventTypes.UNENCODED_PREVIEW_IMAGE, preview_image, server.client_id)
comfy.utils.set_progress_bar_global_hook(hook)
def cleanup_temp():
temp_dir = folder_paths.get_temp_directory()
if os.path.exists(temp_dir):
shutil.rmtree(temp_dir, ignore_errors=True)
def load_extra_path_config(yaml_path):
with open(yaml_path, 'r') as stream:
config = yaml.safe_load(stream)
for c in config:
conf = config[c]
if conf is None:
continue
base_path = None
if "base_path" in conf:
base_path = conf.pop("base_path")
for x in conf:
for y in conf[x].split("\n"):
if len(y) == 0:
continue
full_path = y
if base_path is not None:
full_path = os.path.join(base_path, full_path)
print("Adding extra search path", x, full_path)
folder_paths.add_model_folder_path(x, full_path)
if __name__ == "__main__":
if args.temp_directory:
temp_dir = os.path.join(os.path.abspath(args.temp_directory), "temp")
print(f"Setting temp directory to: {temp_dir}")
folder_paths.set_temp_directory(temp_dir)
cleanup_temp()
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
server = server.PromptServer(loop)
q = execution.PromptQueue(server)
extra_model_paths_config_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "extra_model_paths.yaml")
if os.path.isfile(extra_model_paths_config_path):
load_extra_path_config(extra_model_paths_config_path)
if args.extra_model_paths_config:
for config_path in itertools.chain(*args.extra_model_paths_config):
load_extra_path_config(config_path)
init_custom_nodes()
cuda_malloc_warning()
server.add_routes()
hijack_progress(server)
threading.Thread(target=prompt_worker, daemon=True, args=(q, server,)).start()
if args.output_directory:
output_dir = os.path.abspath(args.output_directory)
print(f"Setting output directory to: {output_dir}")
folder_paths.set_output_directory(output_dir)
if args.quick_test_for_ci:
exit(0)
call_on_start = None
if args.auto_launch:
def startup_server(address, port):
import webbrowser
if os.name == 'nt' and address == '0.0.0.0':
address = '127.0.0.1'
webbrowser.open(f"http://{address}:{port}")
call_on_start = startup_server
try:
loop.run_until_complete(run(server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start))
except KeyboardInterrupt:
print("\nStopped server")
cleanup_temp()