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VERO_FLUX_lora_01_000002100.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:16bba396e0e30e2c671a2066d22198c5ef77260a10a0c00446efb09149009ea7
+size 687476560

main.py

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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
+from app.logger import setup_logger
+import itertools
+import utils.extra_config
+import logging
+
+if __name__ == "__main__":
+    #NOTE: These do not do anything on core ComfyUI which should already have no communication with the internet, they are for custom nodes.
+    os.environ['HF_HUB_DISABLE_TELEMETRY'] = '1'
+    os.environ['DO_NOT_TRACK'] = '1'
+
+
+setup_logger(log_level=args.verbose)
+
+def apply_custom_paths():
+    # extra model paths
+    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):
+        utils.extra_config.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):
+            utils.extra_config.load_extra_path_config(config_path)
+
+    # --output-directory, --input-directory, --user-directory
+    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"))
+    folder_paths.add_model_folder_path("diffusion_models",
+                                       os.path.join(folder_paths.get_output_directory(), "diffusion_models"))
+    folder_paths.add_model_folder_path("loras", os.path.join(folder_paths.get_output_directory(), "loras"))
+
+    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.user_directory:
+        user_dir = os.path.abspath(args.user_directory)
+        logging.info(f"Setting user directory to: {user_dir}")
+        folder_paths.set_user_directory(user_dir)
+
+
+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()
+
+apply_custom_paths()
+execute_prestartup_script()
+
+
+# Main code
+import asyncio
+import shutil
+import threading
+import gc
+
+
+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)
+        os.environ['HIP_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:
+        from fix_torch import fix_pytorch_libomp
+        fix_pytorch_libomp()
+    except:
+        pass
+
+import comfy.utils
+
+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):
+    current_time: float = 0.0
+    e = execution.PromptExecutor(server, lru_size=args.cache_lru)
+    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.history_result,
+                        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:
+                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):
+    addresses = []
+    for addr in address.split(","):
+        addresses.append((addr, port))
+    await asyncio.gather(server.start_multi_address(addresses, 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)
+
+
+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)
+
+    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.quick_test_for_ci:
+        exit(0)
+
+    os.makedirs(folder_paths.get_temp_directory(), exist_ok=True)
+    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'
+            if ':' in address:
+                address = "[{}]".format(address)
+            webbrowser.open(f"{scheme}://{address}:{port}")
+        call_on_start = startup_server
+
+    try:
+        loop.run_until_complete(server.setup())
+        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()