model_patcher: Improve dynamic offload heuristic (#12759)

Define a threshold below which a weight loading takes priority. This
actually makes the offload consistent with non-dynamic, because what
happens, is when non-dynamic fills ints to_load list, it will fill-up
any left-over pieces that could fix large weights with small weights
and load them, even though they were lower priority. This actually
improves performance because the timy weights dont cost any VRAM and
arent worth the control overhead of the DMA etc.
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rattus 2026-03-04 07:47:44 -08:00 committed by GitHub
parent eb011733b6
commit d531e3fb2a
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@ -699,7 +699,7 @@ class ModelPatcher:
for key in list(self.pinned):
self.unpin_weight(key)
def _load_list(self, prio_comfy_cast_weights=False, default_device=None):
def _load_list(self, for_dynamic=False, default_device=None):
loading = []
for n, m in self.model.named_modules():
default = False
@ -727,8 +727,13 @@ class ModelPatcher:
return 0
module_offload_mem += check_module_offload_mem("{}.weight".format(n))
module_offload_mem += check_module_offload_mem("{}.bias".format(n))
prepend = (not hasattr(m, "comfy_cast_weights"),) if prio_comfy_cast_weights else ()
loading.append(prepend + (module_offload_mem, module_mem, n, m, params))
# Dynamic: small weights (<64KB) first, then larger weights prioritized by size.
# Non-dynamic: prioritize by module offload cost.
if for_dynamic:
sort_criteria = (module_offload_mem >= 64 * 1024, -module_offload_mem)
else:
sort_criteria = (module_offload_mem,)
loading.append(sort_criteria + (module_mem, n, m, params))
return loading
def load(self, device_to=None, lowvram_model_memory=0, force_patch_weights=False, full_load=False):
@ -1508,11 +1513,11 @@ class ModelPatcherDynamic(ModelPatcher):
if vbar is not None:
vbar.prioritize()
loading = self._load_list(prio_comfy_cast_weights=True, default_device=device_to)
loading.sort(reverse=True)
loading = self._load_list(for_dynamic=True, default_device=device_to)
loading.sort()
for x in loading:
_, _, _, n, m, params = x
*_, module_mem, n, m, params = x
def set_dirty(item, dirty):
if dirty or not hasattr(item, "_v_signature"):
@ -1627,9 +1632,9 @@ class ModelPatcherDynamic(ModelPatcher):
return freed
def partially_unload_ram(self, ram_to_unload):
loading = self._load_list(prio_comfy_cast_weights=True, default_device=self.offload_device)
loading = self._load_list(for_dynamic=True, default_device=self.offload_device)
for x in loading:
_, _, _, _, m, _ = x
*_, m, _ = x
ram_to_unload -= comfy.pinned_memory.unpin_memory(m)
if ram_to_unload <= 0:
return