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258 lines
9.2 KiB
258 lines
9.2 KiB
import comfy.options |
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comfy.options.enable_args_parsing() |
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import os |
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import importlib.util |
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import folder_paths |
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import time |
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def execute_prestartup_script(): |
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def execute_script(script_path): |
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module_name = os.path.splitext(script_path)[0] |
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try: |
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spec = importlib.util.spec_from_file_location(module_name, script_path) |
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module = importlib.util.module_from_spec(spec) |
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spec.loader.exec_module(module) |
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return True |
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except Exception as e: |
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print(f"Failed to execute startup-script: {script_path} / {e}") |
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return False |
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node_paths = folder_paths.get_folder_paths("custom_nodes") |
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for custom_node_path in node_paths: |
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possible_modules = os.listdir(custom_node_path) |
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node_prestartup_times = [] |
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for possible_module in possible_modules: |
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module_path = os.path.join(custom_node_path, possible_module) |
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if os.path.isfile(module_path) or module_path.endswith(".disabled") or module_path == "__pycache__": |
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continue |
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script_path = os.path.join(module_path, "prestartup_script.py") |
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if os.path.exists(script_path): |
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time_before = time.perf_counter() |
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success = execute_script(script_path) |
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node_prestartup_times.append((time.perf_counter() - time_before, module_path, success)) |
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if len(node_prestartup_times) > 0: |
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print("\nPrestartup times for custom nodes:") |
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for n in sorted(node_prestartup_times): |
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if n[2]: |
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import_message = "" |
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else: |
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import_message = " (PRESTARTUP FAILED)" |
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print("{:6.1f} seconds{}:".format(n[0], import_message), n[1]) |
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print() |
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execute_prestartup_script() |
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# Main code |
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import asyncio |
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import itertools |
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import shutil |
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import threading |
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import gc |
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from comfy.cli_args import args |
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import logging |
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if os.name == "nt": |
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logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage()) |
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if __name__ == "__main__": |
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if args.cuda_device is not None: |
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os.environ['CUDA_VISIBLE_DEVICES'] = str(args.cuda_device) |
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logging.info("Set cuda device to: {}".format(args.cuda_device)) |
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if args.deterministic: |
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if 'CUBLAS_WORKSPACE_CONFIG' not in os.environ: |
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os.environ['CUBLAS_WORKSPACE_CONFIG'] = ":4096:8" |
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import cuda_malloc |
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import comfy.utils |
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import yaml |
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import execution |
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import server |
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from server import BinaryEventTypes |
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from nodes import init_custom_nodes |
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import comfy.model_management |
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def cuda_malloc_warning(): |
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device = comfy.model_management.get_torch_device() |
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device_name = comfy.model_management.get_torch_device_name(device) |
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cuda_malloc_warning = False |
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if "cudaMallocAsync" in device_name: |
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for b in cuda_malloc.blacklist: |
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if b in device_name: |
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cuda_malloc_warning = True |
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if cuda_malloc_warning: |
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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") |
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def prompt_worker(q, server): |
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e = execution.PromptExecutor(server, lru_size=args.cache_lru) |
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last_gc_collect = 0 |
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need_gc = False |
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gc_collect_interval = 10.0 |
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while True: |
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timeout = 1000.0 |
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if need_gc: |
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timeout = max(gc_collect_interval - (current_time - last_gc_collect), 0.0) |
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queue_item = q.get(timeout=timeout) |
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if queue_item is not None: |
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item, item_id = queue_item |
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execution_start_time = time.perf_counter() |
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prompt_id = item[1] |
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server.last_prompt_id = prompt_id |
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e.execute(item[2], prompt_id, item[3], item[4]) |
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need_gc = True |
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q.task_done(item_id, |
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e.history_result, |
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status=execution.PromptQueue.ExecutionStatus( |
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status_str='success' if e.success else 'error', |
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completed=e.success, |
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messages=e.status_messages)) |
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if server.client_id is not None: |
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server.send_sync("executing", { "node": None, "prompt_id": prompt_id }, server.client_id) |
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current_time = time.perf_counter() |
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execution_time = current_time - execution_start_time |
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logging.info("Prompt executed in {:.2f} seconds".format(execution_time)) |
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flags = q.get_flags() |
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free_memory = flags.get("free_memory", False) |
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if flags.get("unload_models", free_memory): |
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comfy.model_management.unload_all_models() |
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need_gc = True |
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last_gc_collect = 0 |
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if free_memory: |
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e.reset() |
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need_gc = True |
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last_gc_collect = 0 |
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if need_gc: |
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current_time = time.perf_counter() |
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if (current_time - last_gc_collect) > gc_collect_interval: |
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comfy.model_management.cleanup_models() |
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gc.collect() |
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comfy.model_management.soft_empty_cache() |
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last_gc_collect = current_time |
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need_gc = False |
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async def run(server, address='', port=8188, verbose=True, call_on_start=None): |
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await asyncio.gather(server.start(address, port, verbose, call_on_start), server.publish_loop()) |
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def hijack_progress(server): |
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def hook(value, total, preview_image): |
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comfy.model_management.throw_exception_if_processing_interrupted() |
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progress = {"value": value, "max": total, "prompt_id": server.last_prompt_id, "node": server.last_node_id} |
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server.send_sync("progress", progress, server.client_id) |
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if preview_image is not None: |
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server.send_sync(BinaryEventTypes.UNENCODED_PREVIEW_IMAGE, preview_image, server.client_id) |
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comfy.utils.set_progress_bar_global_hook(hook) |
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def cleanup_temp(): |
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temp_dir = folder_paths.get_temp_directory() |
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if os.path.exists(temp_dir): |
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shutil.rmtree(temp_dir, ignore_errors=True) |
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def load_extra_path_config(yaml_path): |
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with open(yaml_path, 'r') as stream: |
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config = yaml.safe_load(stream) |
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for c in config: |
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conf = config[c] |
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if conf is None: |
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continue |
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base_path = None |
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if "base_path" in conf: |
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base_path = conf.pop("base_path") |
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for x in conf: |
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for y in conf[x].split("\n"): |
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if len(y) == 0: |
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continue |
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full_path = y |
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if base_path is not None: |
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full_path = os.path.join(base_path, full_path) |
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logging.info("Adding extra search path {} {}".format(x, full_path)) |
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folder_paths.add_model_folder_path(x, full_path) |
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if __name__ == "__main__": |
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if args.temp_directory: |
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temp_dir = os.path.join(os.path.abspath(args.temp_directory), "temp") |
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logging.info(f"Setting temp directory to: {temp_dir}") |
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folder_paths.set_temp_directory(temp_dir) |
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cleanup_temp() |
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if args.windows_standalone_build: |
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try: |
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import new_updater |
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new_updater.update_windows_updater() |
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except: |
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pass |
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loop = asyncio.new_event_loop() |
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asyncio.set_event_loop(loop) |
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server = server.PromptServer(loop) |
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q = execution.PromptQueue(server) |
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extra_model_paths_config_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "extra_model_paths.yaml") |
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if os.path.isfile(extra_model_paths_config_path): |
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load_extra_path_config(extra_model_paths_config_path) |
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if args.extra_model_paths_config: |
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for config_path in itertools.chain(*args.extra_model_paths_config): |
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load_extra_path_config(config_path) |
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init_custom_nodes() |
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cuda_malloc_warning() |
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server.add_routes() |
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hijack_progress(server) |
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threading.Thread(target=prompt_worker, daemon=True, args=(q, server,)).start() |
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if args.output_directory: |
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output_dir = os.path.abspath(args.output_directory) |
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logging.info(f"Setting output directory to: {output_dir}") |
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folder_paths.set_output_directory(output_dir) |
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#These are the default folders that checkpoints, clip and vae models will be saved to when using CheckpointSave, etc.. nodes |
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folder_paths.add_model_folder_path("checkpoints", os.path.join(folder_paths.get_output_directory(), "checkpoints")) |
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folder_paths.add_model_folder_path("clip", os.path.join(folder_paths.get_output_directory(), "clip")) |
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folder_paths.add_model_folder_path("vae", os.path.join(folder_paths.get_output_directory(), "vae")) |
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if args.input_directory: |
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input_dir = os.path.abspath(args.input_directory) |
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logging.info(f"Setting input directory to: {input_dir}") |
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folder_paths.set_input_directory(input_dir) |
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if args.quick_test_for_ci: |
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exit(0) |
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call_on_start = None |
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if args.auto_launch: |
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def startup_server(address, port): |
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import webbrowser |
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if os.name == 'nt' and address == '0.0.0.0': |
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address = '127.0.0.1' |
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webbrowser.open(f"http://{address}:{port}") |
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call_on_start = startup_server |
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try: |
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loop.run_until_complete(run(server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start)) |
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except KeyboardInterrupt: |
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logging.info("\nStopped server") |
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cleanup_temp()
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