pyproject.toml

[project]
name = "comfyui-multigpu"
description = "This extension adds CUDA/CPU device selection to supported loader nodes in ComfyUI. Using these nodes, each model component (like UNet, Clip, or VAE) can be loaded on a specific GPU and GGUF UNet/CLIPs can be layer-split for storage across non-compute devices using DisTorch. Examples included are multi-GPU workflows for SDXL, FLUX, LTXVideo, and Hunyuan Video for both standard and GGUF loader nodes."
version = "1.4.1"
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 = "https://raw.githubusercontent.com/pollockjj/ComfyUI-MultiGPU/main/assets/multigpu_icon.png"