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