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import comfy.options | |
comfy.options.enable_args_parsing() | |
import os | |
import importlib.util | |
import folder_paths | |
import time | |
from comfy.cli_args import args | |
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 | |
if args.disable_all_custom_nodes: | |
return | |
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 | |
import logging | |
if os.name == "nt": | |
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) | |
logging.info("Set cuda device to: {}".format(args.cuda_device)) | |
if args.deterministic: | |
if 'CUBLAS_WORKSPACE_CONFIG' not in os.environ: | |
os.environ['CUBLAS_WORKSPACE_CONFIG'] = ":4096:8" | |
import cuda_malloc | |
if args.windows_standalone_build: | |
try: | |
import fix_torch | |
except: | |
pass | |
import comfy.utils | |
import yaml | |
import execution | |
import server | |
from server import BinaryEventTypes | |
import 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: | |
logging.warning("\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) | |
last_gc_collect = 0 | |
need_gc = False | |
gc_collect_interval = 10.0 | |
while True: | |
timeout = 1000.0 | |
if need_gc: | |
timeout = max(gc_collect_interval - (current_time - last_gc_collect), 0.0) | |
queue_item = q.get(timeout=timeout) | |
if queue_item is not None: | |
item, item_id = queue_item | |
execution_start_time = time.perf_counter() | |
prompt_id = item[1] | |
server.last_prompt_id = prompt_id | |
e.execute(item[2], prompt_id, item[3], item[4]) | |
need_gc = True | |
q.task_done(item_id, | |
e.outputs_ui, | |
status=execution.PromptQueue.ExecutionStatus( | |
status_str='success' if e.success else 'error', | |
completed=e.success, | |
messages=e.status_messages)) | |
if server.client_id is not None: | |
server.send_sync("executing", { "node": None, "prompt_id": prompt_id }, server.client_id) | |
current_time = time.perf_counter() | |
execution_time = current_time - execution_start_time | |
logging.info("Prompt executed in {:.2f} seconds".format(execution_time)) | |
flags = q.get_flags() | |
free_memory = flags.get("free_memory", False) | |
if flags.get("unload_models", free_memory): | |
comfy.model_management.unload_all_models() | |
need_gc = True | |
last_gc_collect = 0 | |
if free_memory: | |
e.reset() | |
need_gc = True | |
last_gc_collect = 0 | |
if need_gc: | |
current_time = time.perf_counter() | |
if (current_time - last_gc_collect) > gc_collect_interval: | |
comfy.model_management.cleanup_models() | |
gc.collect() | |
comfy.model_management.soft_empty_cache() | |
last_gc_collect = current_time | |
need_gc = False | |
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): | |
comfy.model_management.throw_exception_if_processing_interrupted() | |
progress = {"value": value, "max": total, "prompt_id": server.last_prompt_id, "node": server.last_node_id} | |
server.send_sync("progress", progress, 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) | |
logging.info("Adding extra search path {} {}".format(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") | |
logging.info(f"Setting temp directory to: {temp_dir}") | |
folder_paths.set_temp_directory(temp_dir) | |
cleanup_temp() | |
if args.windows_standalone_build: | |
try: | |
import new_updater | |
new_updater.update_windows_updater() | |
except: | |
pass | |
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) | |
nodes.init_extra_nodes(init_custom_nodes=not args.disable_all_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) | |
logging.info(f"Setting output directory to: {output_dir}") | |
folder_paths.set_output_directory(output_dir) | |
#These are the default folders that checkpoints, clip and vae models will be saved to when using CheckpointSave, etc.. nodes | |
folder_paths.add_model_folder_path("checkpoints", os.path.join(folder_paths.get_output_directory(), "checkpoints")) | |
folder_paths.add_model_folder_path("clip", os.path.join(folder_paths.get_output_directory(), "clip")) | |
folder_paths.add_model_folder_path("vae", os.path.join(folder_paths.get_output_directory(), "vae")) | |
if args.input_directory: | |
input_dir = os.path.abspath(args.input_directory) | |
logging.info(f"Setting input directory to: {input_dir}") | |
folder_paths.set_input_directory(input_dir) | |
if args.quick_test_for_ci: | |
exit(0) | |
call_on_start = None | |
if args.auto_launch: | |
def startup_server(scheme, address, port): | |
import webbrowser | |
if os.name == 'nt' and address == '0.0.0.0': | |
address = '127.0.0.1' | |
webbrowser.open(f"{scheme}://{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: | |
logging.info("\nStopped server") | |
cleanup_temp() | |