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pollockjj-ComfyUI-MultiGPU/pyproject.toml
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John Pollock 3679c268ac 🔧 BREAKING CHANGE: DiffSynth functionality has been temporarily removed while investigating device management issue (Having two GPUs with different amounts of VRAM leads to OOMs pollockjj/ComfyUI-MultiGPU#13).
If you were using nodes with DiffSynth in their name (like ...DiffSynthMultiGPU), please switch to the standard MultiGPU versions for now (e.g., ...MultiGPU). This change eliminates a device management issue that was affecting some Windows users.

See: https://github.com/pollockjj/ComfyUI-MultiGPU/issues/13

Most users won't be affected as this only impacts the DiffSynth variants of nodes.

If you need help modifying your workflows, please open an issue. Will revisit DiffSynth functionality once issue can be contained or worked-around

Update comfyregistry to 1.5.0 to reflect major change in functionality, in this case, a reduction.
2025-02-06 00:32:21 -06:00

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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 = "1.5.0"
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"