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09ccad2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | #!/usr/bin/env python3
"""导出 train.py checkpoint -> ComfyUI 适配器 .safetensors（纯 state_dict）。
用法:
python export_adapter.py <adapter_stage2_step2000.pt> [--out adapter_stage2.safetensors]
"""
from __future__ import annotations
import argparse
import os
import sys
import torch
HERE = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, HERE)
from adapter.model import H3Adapter # noqa: E402
def main() -> None:
ap = argparse.ArgumentParser()
ap.add_argument("ckpt", help="train.py checkpoint (.pt)")
ap.add_argument("--out", default="adapter_stage2.safetensors")
args = ap.parse_args()
ckpt = torch.load(args.ckpt, map_location="cpu", weights_only=False)
state = ckpt.get("model", ckpt) # 兼容 {"model":..., "config":...} 与纯 state_dict
if any(k.startswith("model.") for k in state):
state = {k[len("model."):]: v for k, v in state.items()}
model = H3Adapter()
missing, unexpected = model.load_state_dict(state, strict=False)
assert not missing, f"missing: {missing[:10]}"
print(f"adapter keys: {len(state)} | missing={len(missing)} unexpected={len(unexpected)}")
from safetensors.torch import save_file
save_file({k: v.contiguous().to(torch.bfloat16) for k, v in state.items()}, args.out)
print(f"saved -> {args.out}")
if __name__ == "__main__":
main()
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