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fix(multigpu): replace hardcoded torch.cuda.set_device with device-agnostic set_torch_device (#14191)

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savvadesogle
2026-05-31 04:18:42 +03:00
committed by GitHub
parent 81aa5a38b2
commit cd45f42a83
3 changed files with 10 additions and 6 deletions
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5
comfy/samplers.py
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@@ -464,10 +464,7 @@ def _calc_cond_batch_multigpu(model: BaseModel, conds: list[list[dict]], x_in: t
def _handle_batch(device: torch.device, batch_tuple: tuple[comfy.hooks.HookGroup, tuple], results: list[thread_result]):
try:
# TODO: non-NVIDIA support -- guard with `if device.type == "cuda":` once
# we extend multigpu QA beyond CUDA. Unconditional call crashes on
# XPU/NPU/MPS/CPU/DirectML backends.
torch.cuda.set_device(device)
comfy.model_management.set_torch_device(device)
model_current: BaseModel = model_options["multigpu_clones"][device].model
# run every hooked_to_run separately
with torch.no_grad():