John Pollock
56e2e61e52
Code Changes (__init__.py): - Switches from deepcopy to standard copy for better efficiency - Initializes current_device from model_management instead of hardcoded "cuda:0" - Simplifies node class mapping by removing intermediate TARGET_NODE_CLASS_MAPPINGS - Updates node naming convention: removes underscore from MultiGPU suffix - Adds new supported nodes: "CheckpointLoaderSimple", "ControlNetLoader", "LoadFluxControlNet" - Improves code organization with better comment clarity COMPATIBILITY NOTE: This version restores backward compatibility with workflows using the previous node naming scheme. Both old and new node names will work. Documentation Changes (README.md): - Updates node list to reflect automatic detection system - Adds proper attribution links for required dependencies (ComfyUI-GGUF, x-flux-comfy) - Links to example quantized models like flux1-dev-gguf - Reorganizes loader sections with clear dependency requirements - Updates support links to new maintainer - Removes business/commercial references - Updates credits section to reflect current project status
51 lines
1.6 KiB
Python
51 lines
1.6 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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current_device = comfy.model_management.get_torch_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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):
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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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inputs["required"]["device"] = ([f"cuda:{i}" for i in range(torch.cuda.device_count())],)
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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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time.sleep(2) # This is to make sure the other nodes are already loaded
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from nodes import NODE_CLASS_MAPPINGS as GLOBAL_NODE_CLASS_MAPPINGS
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TARGET_NODE_NAMES = {
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"UNETLoader", "VAELoader", "CLIPLoader", "DualCLIPLoader", "TripleCLIPLoader", "CheckpointLoaderSimple", "ControlNetLoader",
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"UnetLoaderGGUF", "UnetLoaderGGUFAdvanced", "CLIPLoaderGGUF", "DualCLIPLoaderGGUF", "TripleCLIPLoaderGGUF",
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"LoadFluxControlNet",
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}
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NODE_CLASS_MAPPINGS = {}
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for name in TARGET_NODE_NAMES:
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if name not in GLOBAL_NODE_CLASS_MAPPINGS:
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continue
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NODE_CLASS_MAPPINGS[f"{name}MultiGPU"] = override_class(GLOBAL_NODE_CLASS_MAPPINGS[name])
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