#!/usr/bin/env python3 """CHAR-004 诸葛风 V2 · 对齐苏白V3-R4不良人硬核写实 · 复仇少年""" import os, sys, json, time, subprocess from pathlib import Path ROOT = Path('D:/WorkBuddy/guanghulab/video-ai-system') env = {} for line in open(ROOT/".env"): line = line.strip() if not line or line.startswith("#"): continue if "=" in line: k, v = line.split("=", 1) env[k.strip()] = v.strip() AK = env["JIMENG_API_KEY"] URL = env["JIMENG_BASE_URL"] MODEL = "doubao-seedream-4-0-250828" OUT = ROOT / "assets/candidates/D169-VA-05-001/CHAR-004-ZhugeFeng/V2" OUT.mkdir(parents=True, exist_ok=True) # V2升级: 对齐苏白V3-R4不良人硬核写实 # 诸葛风:18岁·粗麻布衣·补丁·剑眉星目·眼底有火·身形清瘦·复仇少年 P = """中国古代修仙世界复仇少年,单人全身立绘,纯白背景。 18岁男性,亚洲面孔,剑眉星目骨相清晰下颌线锐利,苍白肤色面无血色,眼底深处燃烧着压抑的仇恨之火。 身形清瘦但脊背挺直如弓弦紧绷,站姿倔强不服输。 身着粗糙灰褐色粗麻布衣,手肘膝盖处有补丁,腰间系旧布带,衣着寒酸但整洁。 双手自然垂于身侧,指甲因长期掐入掌心留下旧疤痕。 神情安静内敛,嘴唇紧抿,眼神偶尔爆发出灼烧感,不是懦弱是憋着。 真人向3D写实渲染,光影清冷有层次,不良人硬核写实风格。 与CHAR-003苏白V3-R4同一风格体系,画面有电影级光影。""" N = """笑容,微笑,开心,快乐表情,阳光少年,自信表情,开朗活泼。 现代服装,西装,T恤,卫衣,牛仔裤,运动鞋,短发,染发,现代发型。 干净精致,偶像剧男主,美颜滤镜,奶油小生,AI写真,网红脸,浓妆。 华丽服饰,丝绸锦衣,富贵公子,金线刺绣,玉佩装饰,贵气打扮。 迪士尼,皮克斯,可爱娃娃脸,圆脸,日系动漫,Q版,女性化。 畸形肢体,五官崩坏,模糊不清,水印,表情阴险狡猾,猥琐奸诈。 肥胖,发福,肌肉壮汉,过于健壮,过于高大。 卡通渲染,塑料感,游戏低模,廉价3D,光污染,页游风。 温暖色调,金黄阳光,暖色滤镜,鲜艳色彩,高饱和度。 苏白脸,王执事脸。""" VARIANTS = [ "正面直立,脊背挺直如弓弦,眼神压抑仇恨之火,苍白肤色粗麻布衣补丁,倔强少年", "半侧身站立,双手自然垂放,指甲旧疤痕可见,嘴唇紧抿安静内敛,不良人写实风格", "微侧3/4面,眼底火焰般灼烧感,身形清瘦但不服输,粗麻衣补丁清晰,电影级光影", "正面特写感全身,剑眉星目骨相清晰,倔强神情憋着不屈服,寒酸布衣旧布带,硬核写实" ] SEEDS = [666, 777, 888, 999] def gen(prompt, neg, seed): body = json.dumps({"model": MODEL, "prompt": prompt, "negative_prompt": neg, "size": "1440x2560", "n": 1, "seed": seed}) r = subprocess.run(["curl", "-s", "-m", "120", "--noproxy", "*", "-X", "POST", f"{URL}/images/generations", "-H", f"Authorization: Bearer {AK}", "-H", "Content-Type: application/json", "-d", body], capture_output=True, text=True, timeout=130) try: return json.loads(r.stdout)["data"][0].get("url") except: print(f" API err: {r.stdout[:200]}") return None def dl(url, dst): Path(dst).parent.mkdir(parents=True, exist_ok=True) subprocess.run(["curl", "-s", "-m", "120", "-L", "--noproxy", "*", "-o", dst, url], capture_output=True, timeout=130) return os.path.exists(dst) and os.path.getsize(dst) > 1024 ts = time.strftime("%Y%m%d-%H%M%S") results = [] for i, (seed, var) in enumerate(zip(SEEDS, VARIANTS)): full = f"{P} {var}" print(f"[{i+1}/4] seed={seed}", flush=True) url = gen(full, N, seed) if not url: results.append({"c": i+1, "ok": False, "err": "api"}) continue dst = OUT / f"CHAR-004-V2-candidate-{i+1:02d}-1440x2560.png" if not dl(url, str(dst)): results.append({"c": i+1, "ok": False, "err": "dl"}) continue results.append({"c": i+1, "ok": True, "raw": str(dst), "seed": seed, "variant": var}) print(f" -> {dst.name}") time.sleep(3) ok = sum(1 for r in results if r["ok"]) print(f"\n完成: {ok}/4") json.dump({"spec": "VA-05-001-CHAR-004-V2", "ts": ts, "char": "CHAR-004-ZhugeFeng", "change": "V1→V2: 对齐苏白V3-R4不良人硬核写实风格", "ok": ok, "model": MODEL, "engine": "Seedream", "results": results}, open(OUT/"generation-meta.json","w",encoding="utf-8"), ensure_ascii=False, indent=2)