docs: 重绘分辨率对比报告(原图/896/768/640)

4图×5发型=20行,每行4分辨率对比,steps=15,热数据。
80/80成功,0 OOM,峰值21.2GB(原图不缩放也未OOM)。
报告: static/bench3_report.html
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2026-07-26 19:10:33 +08:00
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""分辨率对比测试:4图×5发型=20行,每行4种分辨率(不缩放/896/768/640)steps=15。
热数据:每个组合预热1次(丢弃)+正式1次。OOM的跳过记录为失败。
"""
import base64
import json
import os
import time
from pathlib import Path
import requests
API = "http://127.0.0.1:8187/api/v1/debug/grow-timing"
TOKEN = "dev-shared-secret-2026"
OUT = Path("/home/ubuntu/hair/benchmark_out/bench3")
OUT.mkdir(parents=True, exist_ok=True)
IMGS = [
("asdf", "/home/ubuntu/hair/image/asdf.jpg"),
("qwer", "/home/ubuntu/hair/image/qwer.jpg"),
("girl2", "/home/ubuntu/hair/image/girl_img/girl2.jpg"),
("girl5", "/home/ubuntu/hair/image/girl_img/girl5.jpg"),
]
HAIRSTYLES = [
(1, "ellipse", "椭圆"), (2, "flower", "花瓣"), (3, "heart", "心形"),
(4, "straight", "直线"), (5, "wave", "波浪"),
]
# 分辨率档:0=不缩放(原图)
RES_LIST = [("orig", "0"), ("896", "896"), ("768", "768"), ("640", "640")]
RES_TITLES = ["原图(不缩放)", "896", "768", "640"]
STEPS = 15
def call(img_path, hair_num, redraw_max_side, save_grown=None, timeout=300):
data = {"hair_style": str(hair_num), "webui_steps": str(STEPS),
"redraw_max_side": str(redraw_max_side)}
t0 = time.perf_counter()
try:
with open(img_path, "rb") as f:
r = requests.post(API, headers={"X-Internal-Token": TOKEN},
files={"image_file": (os.path.basename(img_path), f, "image/jpeg")},
data=data, timeout=timeout)
wall = time.perf_counter() - t0
j = r.json()
if j.get("code") != 0:
return {"ok": False, "error": j.get("message", "")[:80], "wall": wall}
d = j["data"]
hs = d["per_hairstyle"][0]
if save_grown and hs.get("grown_b64"):
b = hs["grown_b64"].split(",")[1] if "," in hs["grown_b64"] else hs["grown_b64"]
with open(save_grown, "wb") as gf:
gf.write(base64.b64decode(b))
return {
"ok": hs.get("ok", False), "wall": wall,
"total_ms": d["total_ms"], "swap_ms": hs.get("swap_ms"),
"comfy_ms": hs.get("comfyui_redraw_ms"),
"error": hs.get("error"),
}
except Exception as e:
return {"ok": False, "error": str(e)[:80], "wall": time.perf_counter() - t0}
def main():
rows = []
total = len(IMGS) * len(HAIRSTYLES) * len(RES_LIST) * 2
idx = 0
for ilabel, ipath in IMGS:
for hnum, hkey, hname in HAIRSTYLES:
cells = []
for (rlabel, rval), rtitle in zip(RES_LIST, RES_TITLES):
# 预热
idx += 1
print(f"[{idx}/{total}] 预热 {ilabel}|{hname}|{rtitle}", flush=True)
try:
call(ipath, hnum, rval, timeout=120)
except Exception:
pass # 预热失败(可能OOM)不中断
# 正式
idx += 1
save = OUT / f"{ilabel}_{hkey}_{rlabel}.jpg"
print(f"[{idx}/{total}] 正式 {ilabel}|{hname}|{rtitle}", flush=True)
r = call(ipath, hnum, rval, save_grown=save, timeout=300)
r["res_label"] = rlabel; r["res_title"] = rtitle
r["grown_path"] = str(save) if r.get("ok") else None
status = f"{r.get('total_ms')}ms" if r.get("ok") else f"FAIL:{r.get('error','')[:30]}"
print(f" -> {status}", flush=True)
cells.append(r)
rows.append({"img": ilabel, "img_path": ipath,
"hair_num": hnum, "hair_key": hkey, "hair_name": hname,
"cells": cells})
with open(OUT / "results.json", "w", encoding="utf-8") as f:
json.dump({"res_titles": RES_TITLES, "rows": rows}, f, ensure_ascii=False, indent=2)
ok = sum(1 for row in rows for c in row["cells"] if c.get("ok"))
print(f"\n✓ 完成: {ok}/{len(rows)*len(RES_LIST)} 成功 -> {OUT/'results.json'}", flush=True)
if __name__ == "__main__":
main()