Update README for clarity on multi-GPU and CPU offloading capabilities; correct example JSON link
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# ComfyUI-MultiGPU
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## Experimental nodes for using multiple GPUs and/or offload to the CPU in a single ComfyUI workflow
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## Experimental nodes for using multiple GPUs and offloading model components to the CPU in a single ComfyUI workflow
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This extension adds device selection capabilities to model loading nodes in ComfyUI. It monkey patches the memory management of ComfyUI in a hacky way and is neither a comprehensive solution is nor is it well-tested on any edge-case CUDA/CPU solutions. **Use at your own risk.**
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### Split FLUX.1-dev between the CPU and a single GPU
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- [examples/flux1dev_cpugpu.json](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/flux1dev_cpu_1gpu_GGUF.json)
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This workflow demonstrates splitting a quantized, GGUF FLUX.1-dev model between a CPU and a single GPU. The UNet model is loaded on the GPU, while the VAE and text encoders are handled by the CPU.
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- [examples/flux1dev_cpu_1gpu_GGUF.json](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/flux1dev_cpu_1gpu_GGUF.json)
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This workflow demonstrates splitting a quantized, GGUF FLUX.1-dev model between a CPU and a single GPU. The UNet model is loaded on the GPU, while the VAE and text encoders are handled by the CPU.
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### Using GGUF quantized models across GPUs
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