QwenFunControlNet.pre_run stashes model.diffusion_model into extra_args,
which the control_model then uses for forward passes (img_in, txt_in,
pe_embedder, time_text_embed). With multigpu, every per-device control
clone was being pre_run with the base model on GPU0, so secondary
devices would invoke those modules with parameters on GPU0 and inputs
on their own device, raising 'Expected all tensors to be on the same
device'. Build a device -> per-device BaseModel lookup from the
patcher's additional multigpu models and pass each clone the model on
its own device. Falls back to the base model when no per-device match
is found (single-GPU path and the case where cnet.multigpu_clones lags
the patcher's clone set).
Amp-Thread-ID: https://ampcode.com/threads/T-019e4a00-fe3d-76bd-a2f2-a8c8c4040082
Co-authored-by: Amp <amp@ampcode.com>
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