comfyui-multigpu/web/docs/Florence2ModelLoaderMultiGPU.md

Florence2ModelLoaderMultiGPU

Florence2ModelLoaderMultiGPU wraps the Florence2 model loader so you can decide which device handles model inference and which device receives Wan/Comfy offloads. Use it exactly like the original node from ComfyUI-Florence2; all native inputs remain available.

Inputs

All parameters from Florence2ModelLoader are still supported. The MultiGPU variant adds the following optional fields:

Parameter	Data Type	Description
device	STRING	MultiGPU device used for runtime compute (cuda:0, cuda:1, cpu, etc.).
offload_device	STRING	Device that receives automatic model offloads (defaults to cpu).

Outputs

The outputs are identical to the upstream Florence2 loader (model tuple, additional metadata). Use them interchangeably in existing workflows; only the device placement behaviour changes.