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utils: use the aimdo mmap to load sft files

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Rattus 2026-03-11 19:48:40 +10:00
parent b487aacc84
commit d8b4016d67
1 changed files with 11 additions and 6 deletions
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17
comfy/utils.py
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@ -20,6 +20,8 @@
import torch
import math
import struct
import ctypes
import os
import comfy.memory_management
import safetensors.torch
import numpy as np
@ -32,7 +34,6 @@ from einops import rearrange
from comfy.cli_args import args
import json
import time
import mmap
import threading
import warnings
@ -82,12 +83,15 @@ _TYPES = {
}
def load_safetensors(ckpt):
f = open(ckpt, "rb", buffering=0)
mapping = mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ)
mv = memoryview(mapping)
import comfy_aimdo.model_mmap
header_size = struct.unpack("<Q", mapping[:8])[0]
header = json.loads(mapping[8:8+header_size].decode("utf-8"))
f = open(ckpt, "rb", buffering=0)
model_mmap = comfy_aimdo.model_mmap.ModelMMAP(ckpt)
file_size = os.path.getsize(ckpt)
mv = memoryview((ctypes.c_uint8 * file_size).from_address(model_mmap.get()))
header_size = struct.unpack("<Q", mv[:8])[0]
header = json.loads(mv[8:8 + header_size].tobytes().decode("utf-8"))
mv = mv[(data_base_offset := 8 + header_size):]
@ -108,6 +112,7 @@ def load_safetensors(ckpt):
setattr(storage,
"_comfy_tensor_file_slice",
comfy.memory_management.TensorFileSlice(f, threading.get_ident(), data_base_offset + start, end - start))
setattr(storage, "_comfy_tensor_mmap_refs", (model_mmap, mv))
setattr(storage, "_comfy_tensor_mmap_touched", False)
sd[name] = tensor