This custom_node for ComfyUI adds one-click "Virtual VRAM" for any UNet and CLIP loader as well MultiGPU integration in WanVideoWrapper, managing the offload/Block Swap of layers to DRAM *or* VRAM to maximize the latent space of your card. Also includes nodes
Maximize your computer's memory for processing by managing how models load across different devices.
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Free · no card · unsubscribe anytimeThis custom_node for ComfyUI adds one-click "Virtual VRAM" for any UNet and CLIP loader as well MultiGPU integration in WanVideoWrapper, managing the offload/Block Swap of layers to DRAM *or* VRAM to maximize the latent space of your card. Also includes nodes
ComfyUI-MultiGPU has 924 stars on GitHub. It has been forked 70 times. ComfyUI-MultiGPU is written mainly in Python. It has been in active development since 2024. ComfyUI-MultiGPU is available under the GPL-3.0 license. Its main topics are comfyui, comfyui-nodes, comfyui-workflow, ggml.
This custom_node for ComfyUI adds one-click "Virtual VRAM" for any UNet and CLIP loader as well MultiGPU integration in WanVideoWrapper, managing the offload/Block Swap of layers to DRAM *or* VRAM to maximize the latent space of your card. Also includes nodes
ComfyUI-MultiGPU is an open-source project. It is released under the GPL-3.0 license.
Yes. ComfyUI-MultiGPU is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
ComfyUI-MultiGPU is available under the GPL-3.0 license.
ComfyUI-MultiGPU is written mainly in Python.
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