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Reduce RAM usage, fix VRAM OOMs, and fix Windows shared memory spilling with adaptive model loading (#11845)

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rattus
2026-01-31 22:01:11 -08:00
committed by GitHub
parent 873de5f37a
commit f8acd9c402
23 changed files with 1030 additions and 114 deletions
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comfy/samplers.py
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@@ -9,7 +9,6 @@ if TYPE_CHECKING:
import torch
from functools import partial
import collections
from comfy import model_management
import math
import logging
import comfy.sampler_helpers
@@ -260,7 +259,7 @@ def _calc_cond_batch(model: BaseModel, conds: list[list[dict]], x_in: torch.Tens
to_batch_temp.reverse()
to_batch = to_batch_temp[:1]
free_memory = model_management.get_free_memory(x_in.device)
free_memory = model.current_patcher.get_free_memory(x_in.device)
for i in range(1, len(to_batch_temp) + 1):
batch_amount = to_batch_temp[:len(to_batch_temp)//i]
input_shape = [len(batch_amount) * first_shape[0]] + list(first_shape)[1:]