96 lines
4.2 KiB
Python
96 lines
4.2 KiB
Python
import time
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import copy
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import torch
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import comfy.model_management
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import os
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import importlib.util
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import logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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logging.info("MultiGPU: Initialization started")
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current_device = comfy.model_management.get_torch_device()
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logging.info(f"MultiGPU: Initial device {current_device}")
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def get_torch_device_patched():
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if (
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not torch.cuda.is_available()
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or comfy.model_management.cpu_state == comfy.model_management.CPUState.CPU
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or "cpu" in str(current_device).lower()
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):
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return torch.device("cpu")
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return torch.device(current_device)
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comfy.model_management.get_torch_device = get_torch_device_patched
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def override_class(cls):
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class NodeOverride(cls):
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@classmethod
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def INPUT_TYPES(s):
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inputs = copy.deepcopy(cls.INPUT_TYPES())
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devices = ["cpu"] + [f"cuda:{i}" for i in range(torch.cuda.device_count())]
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inputs["required"]["device"] = (devices,)
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return inputs
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CATEGORY = "multigpu"
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FUNCTION = "override"
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def override(self, *args, device, **kwargs):
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global current_device
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current_device = device
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fn = getattr(super(), cls.FUNCTION)
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return fn(*args, **kwargs)
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return NodeOverride
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def register_module(module_path, target_nodes):
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try:
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# For core nodes, skip module loading and just register from global mappings
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if not module_path:
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logging.info("MultiGPU: Starting core node registration")
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from nodes import NODE_CLASS_MAPPINGS as GLOBAL_NODE_CLASS_MAPPINGS
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for node in target_nodes:
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if node in GLOBAL_NODE_CLASS_MAPPINGS:
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NODE_CLASS_MAPPINGS[f"{node}MultiGPU"] = override_class(GLOBAL_NODE_CLASS_MAPPINGS[node])
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logging.info(f"MultiGPU: Registered core node {node}")
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else:
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logging.info(f"MultiGPU: Core node {node} not found - this shouldn't happen!")
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return
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# For custom nodes, try to load module first
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full_path = os.path.join("custom_nodes", module_path, "__init__.py")
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logging.info(f"MultiGPU: Checking for module at {full_path}")
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if not os.path.exists(full_path):
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logging.info(f"MultiGPU: Module {module_path} not found - skipping")
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return
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logging.info(f"MultiGPU: Found {module_path}, attempting to load")
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spec = importlib.util.spec_from_file_location(module_path, full_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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logging.info(f"MultiGPU: Executed {module_path} initialization")
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from nodes import NODE_CLASS_MAPPINGS as GLOBAL_NODE_CLASS_MAPPINGS
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logging.info(f"MultiGPU: Looking for {module_path} nodes in global mappings")
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for node in target_nodes:
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if node in GLOBAL_NODE_CLASS_MAPPINGS:
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NODE_CLASS_MAPPINGS[f"{node}MultiGPU"] = override_class(GLOBAL_NODE_CLASS_MAPPINGS[node])
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logging.info(f"MultiGPU: Successfully wrapped {node}")
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else:
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logging.info(f"MultiGPU: Node {node} from {module_path} not found in global mappings")
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except Exception as e:
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logging.info(f"MultiGPU: Error processing {module_path}: {str(e)}")
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NODE_CLASS_MAPPINGS = {}
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register_module("", ["UNETLoader", "VAELoader", "CLIPLoader", "DualCLIPLoader", "TripleCLIPLoader", "CheckpointLoaderSimple", "ControlNetLoader"])
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register_module("ComfyUI-GGUF", ["UnetLoaderGGUF","UnetLoaderGGUFAdvanced","CLIPLoaderGGUF","DualCLIPLoaderGGUF","TripleCLIPLoaderGGUF"])
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register_module("x-flux-comfyui", ["LoadFluxControlNet"])
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register_module("ComfyUI-Florence2", ["Florence2ModelLoader","DownloadAndLoadFlorence2Model"])
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register_module("ComfyUI-LTXVideo", ["LTXVLoader"])
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register_module("ComfyUI-MMAudio", ["MMAudioFeatureUtilsLoader","MMAudioModelLoader","MMAudioSampler"])
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register_module("ComfyUI_bitsandbytes_NF4", ["CheckpointLoaderNF4",])
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logging.info(f"MultiGPU: Registration complete. Final mappings: {', '.join(NODE_CLASS_MAPPINGS.keys())}") |