Found by asking how CFG=1.0 reaches the model. It reaches it through
comfy.sample.sample_custom -> sampling_function, which sets uncond_ = None at
1.0 so the negative branch is never evaluated. Nothing wrong there.
But the causal lane bypasses sample_custom entirely, and sample_custom's
prepare_sampling is also what calls load_models_gpu — which is in turn what
applies a patcher's OBJECT PATCHES (partially_load -> patch_model). So on that
path the weights could still be offloaded AND every object patch FunPack
installs would silently not be there: the per-modality AdaLN gains and the
token-refiner edit (prompt scale + learned taste bias) would all have been
absent, with nothing reporting it.
Loaded once for the whole rollout, before the first forward — not per chunk,
which would fight Comfy's own offload decision all the way down the clip. A
failed load degrades to whatever was already resident and says the patches may
be missing, rather than turning a placement problem into a dead run.
Tests: 1719 passed (+5).
digital-garbage
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