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pollockjj-ComfyUI-MultiGPU/pyproject.toml
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[project]
name = "comfyui-multigpu"
description = "This extension adds CUDA device selection to supported loader nodes in ComfyUI. By monkey-patching ComfyUI’s memory management, each model component (like UNet, Clip, or VAE) can be loaded on a specific GPU. Examples included are multi-GPU workflows for SDXL, FLUX, LTXVideo, and Hunyuan Video for both standard and GGUF loader nodes."
version = "1.0.2"
license = {file = "LICENSE"}
[project.urls]
Repository = "https://github.com/pollockjj/ComfyUI-MultiGPU"
# Used by Comfy Registry https://comfyregistry.org
[tool.comfy]
PublisherId = "pollockjj"
DisplayName = "ComfyUI-MultiGPU"
Icon = ""