From de00faaa3d08888d73e61ee97b64f2ac3ea8e9ad Mon Sep 17 00:00:00 2001 From: John Pollock Date: Sun, 24 Aug 2025 06:01:07 -0500 Subject: [PATCH] Fixes for DisTorch V2 LoRA loading as well as sticky allocations when using standard loader --- README.md | 4 ++-- pyproject.toml | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index a5fe0b9..249b557 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,11 @@ -# ComfyUI-MultiGPU v2.0.0: Universal .safetensors and GGUF Multi-GPU Distribution with DisTorch +# ComfyUI-MultiGPU v2: Universal .safetensors and GGUF Multi-GPU Distribution with DisTorch


Free almost all of your GPU for what matters: Maximum latent space processing

-## The Core of ComfyUI-MultiGPU v2.0.0: +## The Core of ComfyUI-MultiGPU v2: [^1]: This **enhances memory management,** not parallel processing. Workflow steps still execute sequentially, but with components (in full or in part) loaded across your specified devices. *Performance gains* come from avoiding repeated model loading/unloading when VRAM is constrained. *Capability gains* come from offloading as much of the model (VAE/CLIP/UNet) off of your main **compute** device as possible—allowing you to maximize latent space for actual computation. 1. **Universal .safetensors Support**: Native DisTorch2 distribution for all `.safetensors` models. diff --git a/pyproject.toml b/pyproject.toml index e90aeb7..ceb9a26 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [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 = "2.0.1" +version = "2.1.0" license = {file = "LICENSE"} [project.urls]