FearL0rd
9aba0997ac
Keep replica blocks out of the nn.Module tree so model.to(cuda:0) cannot steal cuda:1 weights. Reuse the live home GPU model, skip wrapping it so ComfyUI can apply LoRA, and bake adapters only onto independent clones. Preserve operations in clone config for the fast incremental path.
22 lines
1.1 KiB
TOML
22 lines
1.1 KiB
TOML
# pyproject.toml
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[project]
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name = "ComfyUI-ParallelAnything" # Unique identifier for your node. Immutable after creation.
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description = "This suite of nodes unlocks high-performance parallel processing in ComfyUI by utilizing **Model Replication**. Unlike standard offloading which moves a single model instance between devices, these nodes create independent replicas of the model on each selected GPU/CPU, allowing for true simultaneous batch processing."
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version = "1.0.12" # Custom Node version. Must be semantically versioned.
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license = { file = "LICENSE.txt" }
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dependencies = [] # Filled in from requirements.txt
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[project.urls]
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Repository = "https://github.com/FearL0rd/ComfyUI-ParallelAnything"
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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pythonpath = ["."]
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addopts = ["--import-mode=importlib"]
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[tool.comfy]
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PublisherId = "fearl0rd" # TODO (fill in Publisher ID from Comfy Registry Website).
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DisplayName = "ComfyUI-ParallelAnything" # Display name for the Custom Node. Can be changed later.
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Icon = "https://raw.githubusercontent.com/FearL0rd/ComfyUI-ParallelAnything/refs/heads/main/icon.png" # SVG, PNG, JPG or GIF (MAX. 800x400px)
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