import torch import logging import weakref import os import copy import json from datetime import datetime from pathlib import Path import folder_paths import comfy.model_management as mm import comfy.model_patcher from nodes import NODE_CLASS_MAPPINGS as GLOBAL_NODE_CLASS_MAPPINGS from .device_utils import ( get_device_list, is_accelerator_available, soft_empty_cache_multigpu, ) from .model_management_mgpu import ( trigger_executor_cache_reset, check_cpu_memory_threshold, multigpu_memory_log, force_full_system_cleanup, ) WEB_DIRECTORY = "./web" MGPU_MM_LOG = True DEBUG_LOG = False logger = logging.getLogger("MultiGPU") logger.propagate = False FOCUS_LOG_LEVEL = logging.INFO + 5 logging.addLevelName(FOCUS_LOG_LEVEL, "FOCUS") if not hasattr(logging.Logger, "focus"): def focus(self, message, *args, **kwargs): if self.isEnabledFor(FOCUS_LOG_LEVEL): self._log(FOCUS_LOG_LEVEL, message, args, **kwargs) logging.Logger.focus = focus # type: ignore[attr-defined] if not logger.handlers: log_level = logging.DEBUG if DEBUG_LOG else logging.INFO handler = logging.StreamHandler() formatter = logging.Formatter('%(message)s') handler.setFormatter(formatter) logger.addHandler(handler) logger.setLevel(log_level) json_log_path = os.environ.get("MGPU_JSON_LOG_PATH") json_static_fields = {} if json_log_path: try: json_static_fields = json.loads(os.environ.get("MGPU_JSON_STATIC_FIELDS", "{}")) except json.JSONDecodeError: json_static_fields = {} level_aliases = { "CRITICAL": logging.CRITICAL, "ERROR": logging.ERROR, "WARNING": logging.WARNING, "FOCUS": FOCUS_LOG_LEVEL, "INFO": logging.INFO, "DEBUG": logging.DEBUG, } json_min_level = FOCUS_LOG_LEVEL configured_min_level = os.environ.get("MGPU_JSON_MIN_LEVEL") if configured_min_level: value = configured_min_level.strip() upper_value = value.upper() if upper_value in level_aliases: json_min_level = level_aliases[upper_value] else: try: json_min_level = int(value) except ValueError: json_min_level = FOCUS_LOG_LEVEL class JsonLineFileHandler(logging.Handler): def __init__(self, path, static_fields, min_level, overwrite): super().__init__() self.path = Path(path) self.path.parent.mkdir(parents=True, exist_ok=True) self.static_fields = static_fields self.setLevel(min_level) if overwrite: try: with self.path.open("w", encoding="utf-8") as handle: handle.write("") except OSError: pass def emit(self, record): message = record.getMessage() category = None if message.startswith("[") and "]" in message: bracket_split = message.split("]", 1) category = bracket_split[0].strip("[]") payload = { "timestamp": datetime.utcnow().isoformat() + "Z", "level": record.levelname, "name": record.name, "message": message, } if category: payload["event_category"] = category if hasattr(record, "mgpu_context") and isinstance(record.mgpu_context, dict): payload.update(record.mgpu_context) workflow_id = os.environ.get("MGPU_JSON_WORKFLOW") prompt_id = os.environ.get("MGPU_JSON_PROMPT") if workflow_id: payload.setdefault("workflow_id", workflow_id) if prompt_id: payload.setdefault("prompt_id", prompt_id) if self.static_fields: payload.update(self.static_fields) try: with self.path.open("a", encoding="utf-8") as handle: handle.write(json.dumps(payload, ensure_ascii=True) + "\n") except OSError: # Fail silently for JSON logging so primary logging continues. pass overwrite_value = os.environ.get("MGPU_JSON_OVERWRITE", "true").strip().lower() overwrite_enabled = overwrite_value not in {"0", "false", "no"} logger.addHandler(JsonLineFileHandler(json_log_path, json_static_fields, json_min_level, overwrite_enabled)) def mgpu_mm_log_method(self, msg): """Add MultiGPU model management logging method to logger instance.""" if MGPU_MM_LOG: self.focus( f"[MultiGPU Model Management] {msg}", extra={"mgpu_context": {"component": "model_management"}}, ) logger.mgpu_mm_log = mgpu_mm_log_method.__get__(logger, type(logger)) def check_module_exists(module_path): """Check if a custom node module exists in ComfyUI custom_nodes directory.""" full_path = os.path.join(folder_paths.get_folder_paths("custom_nodes")[0], module_path) logger.debug(f"[MultiGPU] Checking for module at {full_path}") if not os.path.exists(full_path): logger.debug(f"[MultiGPU] Module {module_path} not found - skipping") return False logger.debug(f"[MultiGPU] Found {module_path}, creating compatible MultiGPU nodes") return True current_device = mm.get_torch_device() current_text_encoder_device = mm.text_encoder_device() def set_current_device(device): """Set the current device context for MultiGPU operations.""" global current_device current_device = device logger.debug(f"[MultiGPU Initialization] current_device set to: {device}") def set_current_text_encoder_device(device): """Set the current text encoder device context for CLIP models.""" global current_text_encoder_device current_text_encoder_device = device logger.debug(f"[MultiGPU Initialization] current_text_encoder_device set to: {device}") def get_torch_device_patched(): """Return MultiGPU-aware device selection for patched mm.get_torch_device.""" device = None if (not is_accelerator_available() or mm.cpu_state == mm.CPUState.CPU or "cpu" in str(current_device).lower()): device = torch.device("cpu") else: devs = set(get_device_list()) device = torch.device(current_device) if str(current_device) in devs else torch.device("cpu") logger.debug(f"[MultiGPU Core Patching] get_torch_device_patched returning device: {device} (current_device={current_device})") return device def text_encoder_device_patched(): """Return MultiGPU-aware text encoder device for patched mm.text_encoder_device.""" device = None if (not is_accelerator_available() or mm.cpu_state == mm.CPUState.CPU or "cpu" in str(current_text_encoder_device).lower()): device = torch.device("cpu") else: devs = set(get_device_list()) device = torch.device(current_text_encoder_device) if str(current_text_encoder_device) in devs else torch.device("cpu") logger.info(f"[MultiGPU Core Patching] text_encoder_device_patched returning device: {device} (current_text_encoder_device={current_text_encoder_device})") return device logger.info(f"[MultiGPU Core Patching] Patching mm.get_torch_device and mm.text_encoder_device") logger.info(f"[MultiGPU DEBUG] Initial current_device: {current_device}") logger.info(f"[MultiGPU DEBUG] Initial current_text_encoder_device: {current_text_encoder_device}") mm.get_torch_device = get_torch_device_patched mm.text_encoder_device = text_encoder_device_patched from .nodes import ( UnetLoaderGGUF, UnetLoaderGGUFAdvanced, CLIPLoaderGGUF, DualCLIPLoaderGGUF, TripleCLIPLoaderGGUF, QuadrupleCLIPLoaderGGUF, LTXVLoader, Florence2ModelLoader, DownloadAndLoadFlorence2Model, CheckpointLoaderNF4, LoadFluxControlNet, MMAudioModelLoader, MMAudioFeatureUtilsLoader, MMAudioSampler, PulidModelLoader, PulidInsightFaceLoader, PulidEvaClipLoader, UNetLoaderLP, ) from .wanvideo import ( LoadWanVideoT5TextEncoder, WanVideoTextEncode, WanVideoTextEncodeCached, WanVideoTextEncodeSingle, WanVideoVAELoader, WanVideoTinyVAELoader, WanVideoBlockSwap, WanVideoImageToVideoEncode, WanVideoDecode, WanVideoModelLoader, WanVideoSampler, ) from .wrappers import ( override_class, override_class_clip, override_class_clip_no_device, override_class_with_distorch_gguf, override_class_with_distorch_gguf_v2, override_class_with_distorch_clip, override_class_with_distorch_clip_no_device, override_class_with_distorch, override_class_with_distorch_safetensor_v2, override_class_with_distorch_safetensor_v2_clip, override_class_with_distorch_safetensor_v2_clip_no_device, ) from .distorch_2 import ( safetensor_allocation_store, create_safetensor_model_hash, register_patched_safetensor_modelpatcher, analyze_safetensor_loading, calculate_safetensor_vvram_allocation, ) from .checkpoint_multigpu import ( CheckpointLoaderAdvancedMultiGPU, CheckpointLoaderAdvancedDisTorch2MultiGPU ) NODE_CLASS_MAPPINGS = { "CheckpointLoaderAdvancedMultiGPU": CheckpointLoaderAdvancedMultiGPU, "CheckpointLoaderAdvancedDisTorch2MultiGPU": CheckpointLoaderAdvancedDisTorch2MultiGPU, "UNetLoaderLP": UNetLoaderLP, } NODE_CLASS_MAPPINGS["UNETLoaderMultiGPU"] = override_class(GLOBAL_NODE_CLASS_MAPPINGS["UNETLoader"]) NODE_CLASS_MAPPINGS["VAELoaderMultiGPU"] = override_class(GLOBAL_NODE_CLASS_MAPPINGS["VAELoader"]) NODE_CLASS_MAPPINGS["CLIPLoaderMultiGPU"] = override_class_clip(GLOBAL_NODE_CLASS_MAPPINGS["CLIPLoader"]) NODE_CLASS_MAPPINGS["DualCLIPLoaderMultiGPU"] = override_class_clip(GLOBAL_NODE_CLASS_MAPPINGS["DualCLIPLoader"]) NODE_CLASS_MAPPINGS["TripleCLIPLoaderMultiGPU"] = override_class_clip_no_device(GLOBAL_NODE_CLASS_MAPPINGS["TripleCLIPLoader"]) NODE_CLASS_MAPPINGS["QuadrupleCLIPLoaderMultiGPU"] = override_class_clip_no_device(GLOBAL_NODE_CLASS_MAPPINGS["QuadrupleCLIPLoader"]) NODE_CLASS_MAPPINGS["CLIPVisionLoaderMultiGPU"] = override_class_clip_no_device(GLOBAL_NODE_CLASS_MAPPINGS["CLIPVisionLoader"]) NODE_CLASS_MAPPINGS["CheckpointLoaderSimpleMultiGPU"] = override_class(GLOBAL_NODE_CLASS_MAPPINGS["CheckpointLoaderSimple"]) NODE_CLASS_MAPPINGS["ControlNetLoaderMultiGPU"] = override_class(GLOBAL_NODE_CLASS_MAPPINGS["ControlNetLoader"]) NODE_CLASS_MAPPINGS["DiffusersLoaderMultiGPU"] = override_class(GLOBAL_NODE_CLASS_MAPPINGS["DiffusersLoader"]) NODE_CLASS_MAPPINGS["DiffControlNetLoaderMultiGPU"] = override_class(GLOBAL_NODE_CLASS_MAPPINGS["DiffControlNetLoader"]) NODE_CLASS_MAPPINGS["UNETLoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2(GLOBAL_NODE_CLASS_MAPPINGS["UNETLoader"]) NODE_CLASS_MAPPINGS["VAELoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2(GLOBAL_NODE_CLASS_MAPPINGS["VAELoader"]) NODE_CLASS_MAPPINGS["CLIPLoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2_clip(GLOBAL_NODE_CLASS_MAPPINGS["CLIPLoader"]) NODE_CLASS_MAPPINGS["DualCLIPLoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2_clip(GLOBAL_NODE_CLASS_MAPPINGS["DualCLIPLoader"]) NODE_CLASS_MAPPINGS["TripleCLIPLoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2_clip_no_device(GLOBAL_NODE_CLASS_MAPPINGS["TripleCLIPLoader"]) NODE_CLASS_MAPPINGS["QuadrupleCLIPLoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2_clip_no_device(GLOBAL_NODE_CLASS_MAPPINGS["QuadrupleCLIPLoader"]) NODE_CLASS_MAPPINGS["CLIPVisionLoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2_clip_no_device(GLOBAL_NODE_CLASS_MAPPINGS["CLIPVisionLoader"]) NODE_CLASS_MAPPINGS["CheckpointLoaderSimpleDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2(GLOBAL_NODE_CLASS_MAPPINGS["CheckpointLoaderSimple"]) NODE_CLASS_MAPPINGS["ControlNetLoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2(GLOBAL_NODE_CLASS_MAPPINGS["ControlNetLoader"]) NODE_CLASS_MAPPINGS["DiffusersLoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2(GLOBAL_NODE_CLASS_MAPPINGS["DiffusersLoader"]) NODE_CLASS_MAPPINGS["DiffControlNetLoaderDisTorch2MultiGPU"] = override_class_with_distorch_safetensor_v2(GLOBAL_NODE_CLASS_MAPPINGS["DiffControlNetLoader"]) logger.info("[MultiGPU] Initiating custom_node Registration. . .") dash_line = "-" * 47 fmt_reg = "{:<30}{:>5}{:>10}" logger.info(dash_line) logger.info(fmt_reg.format("custom_node", "Found", "Nodes")) logger.info(dash_line) registration_data = [] def register_and_count(module_names, node_map): """Register MultiGPU node wrappers for detected custom node modules.""" found = False for name in module_names: if check_module_exists(name): found = True break count = 0 if found: initial_len = len(NODE_CLASS_MAPPINGS) for key, value in node_map.items(): NODE_CLASS_MAPPINGS[key] = value count = len(NODE_CLASS_MAPPINGS) - initial_len registration_data.append({"name": module_names[0], "found": "Y" if found else "N", "count": count}) return found ltx_nodes = {"LTXVLoaderMultiGPU": override_class(LTXVLoader)} register_and_count(["ComfyUI-LTXVideo", "comfyui-ltxvideo"], ltx_nodes) florence_nodes = { "Florence2ModelLoaderMultiGPU": override_class(Florence2ModelLoader), "DownloadAndLoadFlorence2ModelMultiGPU": override_class(DownloadAndLoadFlorence2Model) } register_and_count(["ComfyUI-Florence2", "comfyui-florence2"], florence_nodes) nf4_nodes = {"CheckpointLoaderNF4MultiGPU": override_class(CheckpointLoaderNF4)} register_and_count(["ComfyUI_bitsandbytes_NF4", "comfyui_bitsandbytes_nf4"], nf4_nodes) flux_controlnet_nodes = {"LoadFluxControlNetMultiGPU": override_class(LoadFluxControlNet)} register_and_count(["x-flux-comfyui"], flux_controlnet_nodes) mmaudio_nodes = { "MMAudioModelLoaderMultiGPU": override_class(MMAudioModelLoader), "MMAudioFeatureUtilsLoaderMultiGPU": override_class(MMAudioFeatureUtilsLoader), "MMAudioSamplerMultiGPU": override_class(MMAudioSampler) } register_and_count(["ComfyUI-MMAudio", "comfyui-mmaudio"], mmaudio_nodes) gguf_nodes = { "UnetLoaderGGUFDisTorchMultiGPU": override_class_with_distorch_gguf(UnetLoaderGGUF), "UnetLoaderGGUFAdvancedDisTorchMultiGPU": override_class_with_distorch_gguf(UnetLoaderGGUFAdvanced), "CLIPLoaderGGUFDisTorchMultiGPU": override_class_with_distorch_clip(CLIPLoaderGGUF), "DualCLIPLoaderGGUFDisTorchMultiGPU": override_class_with_distorch_clip(DualCLIPLoaderGGUF), "TripleCLIPLoaderGGUFDisTorchMultiGPU": override_class_with_distorch_clip_no_device(TripleCLIPLoaderGGUF), "QuadrupleCLIPLoaderGGUFDisTorchMultiGPU": override_class_with_distorch_clip_no_device(QuadrupleCLIPLoaderGGUF), "UnetLoaderGGUFDisTorch2MultiGPU": override_class_with_distorch_safetensor_v2(UnetLoaderGGUF), "UnetLoaderGGUFAdvancedDisTorch2MultiGPU": override_class_with_distorch_safetensor_v2(UnetLoaderGGUFAdvanced), "CLIPLoaderGGUFDisTorch2MultiGPU": override_class_with_distorch_safetensor_v2_clip(CLIPLoaderGGUF), "DualCLIPLoaderGGUFDisTorch2MultiGPU": override_class_with_distorch_safetensor_v2_clip(DualCLIPLoaderGGUF), "TripleCLIPLoaderGGUFDisTorch2MultiGPU": override_class_with_distorch_safetensor_v2_clip_no_device(TripleCLIPLoaderGGUF), "QuadrupleCLIPLoaderGGUFDisTorch2MultiGPU": override_class_with_distorch_safetensor_v2_clip_no_device(QuadrupleCLIPLoaderGGUF), "UnetLoaderGGUFMultiGPU": override_class(UnetLoaderGGUF), "UnetLoaderGGUFAdvancedMultiGPU": override_class(UnetLoaderGGUFAdvanced), "CLIPLoaderGGUFMultiGPU": override_class_clip(CLIPLoaderGGUF), "DualCLIPLoaderGGUFMultiGPU": override_class_clip(DualCLIPLoaderGGUF), "TripleCLIPLoaderGGUFMultiGPU": override_class_clip_no_device(TripleCLIPLoaderGGUF), "QuadrupleCLIPLoaderGGUFMultiGPU": override_class_clip_no_device(QuadrupleCLIPLoaderGGUF) } register_and_count(["ComfyUI-GGUF", "comfyui-gguf"], gguf_nodes) pulid_nodes = { "PulidModelLoaderMultiGPU": override_class(PulidModelLoader), "PulidInsightFaceLoaderMultiGPU": override_class(PulidInsightFaceLoader), "PulidEvaClipLoaderMultiGPU": override_class(PulidEvaClipLoader) } register_and_count(["PuLID_ComfyUI", "pulid_comfyui"], pulid_nodes) wanvideo_nodes = { "LoadWanVideoT5TextEncoderMultiGPU": LoadWanVideoT5TextEncoder, "WanVideoTextEncodeMultiGPU": WanVideoTextEncode, "WanVideoTextEncodeCachedMultiGPU": WanVideoTextEncodeCached, "WanVideoTextEncodeSingleMultiGPU": WanVideoTextEncodeSingle, "WanVideoVAELoaderMultiGPU": WanVideoVAELoader, "WanVideoTinyVAELoaderMultiGPU": WanVideoTinyVAELoader, "WanVideoBlockSwapMultiGPU": WanVideoBlockSwap, "WanVideoImageToVideoEncodeMultiGPU": WanVideoImageToVideoEncode, "WanVideoDecodeMultiGPU": WanVideoDecode, "WanVideoModelLoaderMultiGPU": WanVideoModelLoader, "WanVideoSamplerMultiGPU": WanVideoSampler } register_and_count(["ComfyUI-WanVideoWrapper", "comfyui-wanvideowrapper"], wanvideo_nodes) for item in registration_data: logger.info(fmt_reg.format(item['name'], item['found'], str(item['count']))) logger.info(dash_line) logger.info(f"[MultiGPU] Registration complete. Final mappings: {', '.join(NODE_CLASS_MAPPINGS.keys())}")