diff --git a/benchmark_res_compare.py b/benchmark_res_compare.py new file mode 100644 index 0000000..4f310d0 --- /dev/null +++ b/benchmark_res_compare.py @@ -0,0 +1,99 @@ +#!/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() diff --git a/benchmark_res_compare_report.py b/benchmark_res_compare_report.py new file mode 100644 index 0000000..e7aaad0 --- /dev/null +++ b/benchmark_res_compare_report.py @@ -0,0 +1,103 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +"""生成分辨率对比报告：20行(4图×5发型) × 4列(原图不缩放/896/768/640)。""" +import json +import os +from collections import defaultdict +from pathlib import Path + +OUT = Path("/home/ubuntu/hair/benchmark_out/bench3") +RESULTS = OUT / "results.json" +HTML = OUT / "report.html" + + +def img_src(path): + if not path or not os.path.isfile(path): + return None + return "bench3/" + os.path.basename(path) + + +def main(): + d = json.load(open(RESULTS, encoding="utf-8")) + titles = d["res_titles"] + rows = d["rows"] + + # 各分辨率平均耗时 + col_stats = defaultdict(lambda: {"total": [], "comfy": []}) + for r in rows: + for c in r["cells"]: + if c.get("ok"): + col_stats[c["res_title"]]["total"].append(c["total_ms"]) + col_stats[c["res_title"]]["comfy"].append(c.get("comfy_ms", 0)) + + # 表头 + headers = ['原图'] + for t in titles: + s = col_stats.get(t) + avg = sum(s["total"]) // len(s["total"]) if s and s["total"] else 0 + headers.append(f'
{t}
' + f'
均{avg/1000:.1f}s
') + + # 表体 + body_rows = [] + for r in rows: + label = f'
{r["img"]}
{r["hair_name"]}
' + # 原图缩略图（用 orig 档的结果当原图展示，或用原图文件） + orig_cell = f'
{label}
' + cells = [orig_cell] + for c in r["cells"]: + src = img_src(c.get("grown_path")) if c.get("ok") else None + if src: + t = c.get("total_ms", 0) + cells.append(f'' + f'
{t/1000:.1f}s
') + else: + cells.append(f'
⚠
{c.get("error","")[:20]}
') + body_rows.append(f'{"".join(cells)}') + + html = f""" + + + + +重绘分辨率对比报告 — steps=15 + + + +

📊 重绘分辨率对比报告

+

4图×5发型=20行 · 每行4分辨率(原图不缩放/896/768/640) · steps=15 · 热数据 · 80/80成功 · 峰值21.2GB · 0 OOM

+
列标题下显示平均总耗时。横向滚动查看。原图列含图片名+发型名。每格下方为该次总耗时。
+
+ +{"".join(headers)} +{"".join(body_rows)} +
+
+ +""" + + with open(HTML, "w", encoding="utf-8") as f: + f.write(html) + print(f"✓ 报告: {HTML} ({HTML.stat().st_size // 1024} KB)") + + +if __name__ == "__main__": + main() diff --git a/static/bench3/asdf_ellipse_640.jpg b/static/bench3/asdf_ellipse_640.jpg new file mode 100644 index 0000000..5627adc Binary files /dev/null and b/static/bench3/asdf_ellipse_640.jpg differ diff --git a/static/bench3/asdf_ellipse_768.jpg b/static/bench3/asdf_ellipse_768.jpg new file mode 100644 index 0000000..8e2b9af Binary files /dev/null and b/static/bench3/asdf_ellipse_768.jpg differ diff --git a/static/bench3/asdf_ellipse_896.jpg b/static/bench3/asdf_ellipse_896.jpg new file mode 100644 index 0000000..22b7271 Binary files /dev/null and b/static/bench3/asdf_ellipse_896.jpg differ diff --git a/static/bench3/asdf_ellipse_orig.jpg b/static/bench3/asdf_ellipse_orig.jpg new file mode 100644 index 0000000..5b21c61 Binary files /dev/null and b/static/bench3/asdf_ellipse_orig.jpg differ diff --git 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b/static/bench3/qwer_wave_896.jpg differ diff --git a/static/bench3/qwer_wave_orig.jpg b/static/bench3/qwer_wave_orig.jpg new file mode 100644 index 0000000..6c5c50d Binary files /dev/null and b/static/bench3/qwer_wave_orig.jpg differ diff --git a/static/bench3_report.html b/static/bench3_report.html new file mode 100644 index 0000000..a0ecd8b --- /dev/null +++ b/static/bench3_report.html @@ -0,0 +1,38 @@ + + + + + +重绘分辨率对比报告 — steps=15 + + + +

📊 重绘分辨率对比报告

+

4图×5发型=20行 · 每行4分辨率(原图不缩放/896/768/640) · steps=15 · 热数据 · 80/80成功 · 峰值21.2GB · 0 OOM

+
列标题下显示平均总耗时。横向滚动查看。原图列含图片名+发型名。每格下方为该次总耗时。
+
+ + + +
原图
原图(不缩放)
均12.1s
896
均11.0s
768
均9.3s
640
均8.1s
asdf
椭圆
12.6s
10.2s
8.2s
7.6s
asdf
花瓣
11.8s
9.8s
8.4s
7.2s
asdf
心形
12.7s
10.5s
8.3s
8.1s
asdf
直线
13.5s
10.8s
8.4s
8.2s
asdf
波浪
12.7s
11.0s
8.4s
8.2s
qwer
椭圆
13.1s
10.6s
8.4s
7.4s
qwer
花瓣
12.5s
10.9s
8.6s
8.4s
qwer
心形
13.3s
11.0s
8.6s
8.5s
qwer
直线
12.9s
10.8s
8.5s
8.0s
qwer
波浪
12.6s
10.8s
8.6s
8.2s
girl2
椭圆
13.3s
12.5s
10.5s
7.9s
girl2
花瓣
13.1s
12.4s
10.3s
8.0s
girl2
心形
12.9s
12.5s
10.2s
8.0s
girl2
直线
13.2s
12.8s
10.5s
7.9s
girl2
波浪
12.9s
12.6s
10.5s
7.9s
girl5
椭圆
9.6s
9.6s
9.7s
8.8s
girl5
花瓣
10.3s
10.5s
10.8s
8.5s
girl5
心形
9.5s
9.6s
9.5s
8.8s
girl5
直线
10.6s
10.5s
10.6s
7.9s
girl5
波浪
9.6s
9.6s
10.1s
8.8s
+
+ + \ No newline at end of file