The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

ComfyUI

Place the diffusion model on a specific device (default / cpu / gpu:N).

- "default" restores the device assigned by the loader (even after a
  prior Select Model Device call).
- "cpu" pins both the load and offload device to CPU.
- "gpu:N" pins the load device to the Nth available GPU; the offload
  device is restored to the loader's original choice.

When the requested device differs from the device the input model is
already on, a fresh model is spawned via the loader's reload factory
(cached_patcher_init) so the new patcher owns independent weights on
the new device. Loaders that don't support multigpu (no factory) will
cause the node to pass through unchanged with a warning.

If the workflow already has MultiGPU CFG Split applied and the chosen
GPU collides with one of the existing multigpu clones, that clone is
dropped so two patchers don't end up bound to the same device.

When the selected device does not exist on the current machine
(e.g. a workflow built on a 2-GPU box opened on a 1-GPU box),
the node passes the model through unchanged and logs a message
instead of failing.

NOTE: Placing Select Model Device *after* a node that has already
consumed the same model (e.g. a KSampler that ran on this model on
the original device) is not recommended -- any state the prior
consumer mutated on the original model will be observed when the
selected device matches the original (fast path). Place Select Model
Device before any consumer of the model.

ComfyUI Node: Select Model Device

Category

Inputs

Outputs

Extension: ComfyUI

More nodes in ComfyUI

Other advanced/multigpu nodes

Run Select Model Device without installing ComfyUI