Files
pollockjj-ComfyUI-MultiGPU/pyproject.toml
T
John Pollock 0ca771fe68 Fix for : https://github.com/pollockjj/ComfyUI-MultiGPU/issues/93
Fix compute device inclusion in expert mode allocations

Include compute device in vram_string when expert_mode_allocations
is set but virtual_vram_gb is 0. This ensures the compute device is
properly specified in the full allocation string for expert mode
configurations without virtual VRAM.

Bump version to 2.2.1
2025-08-28 20:47:12 -05:00

15 lines
632 B
TOML

[project]
name = "comfyui-multigpu"
description = "Provides a suite of custom nodes to manage multiple GPUs for ComfyUI, including advanced model offloading for both GGUF and Safetensor formats with DisTorch, and bespoke MultiGPU support for WanVideoWrapper and other custom nodes."
version = "2.2.1"
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"