AIGC 创作者实战指南：从算力焦虑到作品落地

# aigc_prompt_builder.py
"""把创作主题拆解为结构化 prompt，控制风格一致性"""

BASE_STYLE = {
    "medium": "digital illustration, clean vector shading",
    "mood": "optimistic, warm afternoon light",
    "palette": "teal accent, soft concrete gray, warm amber highlights",
    "camera": "wide establishing shot, slight overhead angle",
}

CITY_ELEMENTS = {
    "skyline": "modular floating platforms, green rooftop gardens",
    "transport": "gliding tram lines, pedestrian sky bridges",
    "ground": "permeable pavement, small urban farms",
    "character": "a friendly AI mascot named 小亦, round shape, teal visor",
}

def build_prompt(scene: str, elements: dict, style: dict) -> str:
    """拼接可控的生成 prompt"""
    style_str = ", ".join(f"{k}: {v}" for k, v in style.items())
    elem_str = ", ".join(elements.values())
    return f"{scene} — {elem_str} — {style_str}"

# 生成三个关键场景的 prompt
scenes = [
    "establishing shot of future city skyline at dusk",
    "小亦 guiding a visitor through a sky bridge market",
    "close-up: 小亦 at an urban farm kiosk, handing a seed pod",
]

for s in scenes:
    print(build_prompt(s, CITY_ELEMENTS, BASE_STYLE))

establishing shot of future city skyline at dusk — modular floating platforms, green rooftop gardens, gliding tram lines, pedestrian sky bridges, permeable pavement, small urban farms, a friendly AI mascot named 小亦, round shape, teal visor — medium: digital illustration, clean vector shading, mood: optimistic, warm afternoon light, palette: teal accent, soft concrete gray, warm amber highlights, camera: wide establishing shot, slight overhead angle
...

# aigc_batch_generate.py
"""批量生成 + 基础筛选，适合免费额度试跑"""

import os
import time
import base64
from pathlib import Path

# 使用 OpenAI Images API（或其他兼容接口）
# 先设置环境变量：export OPENAI_API_KEY=sk-xxx

def generate_image(prompt: str, size: str = "1024x1024") -> str | None:
    """调用图像生成 API，返回本地保存路径"""
    from openai import OpenAI  # pip install openai
    client = OpenAI()
    try:
        resp = client.images.generate(
            model="gpt-image-1",
            prompt=prompt,
            n=1,
            size=size,
        )
        # 下载并保存
        out_dir = Path("output")
        out_dir.mkdir(exist_ok=True)
        img_bytes = base64.b64decode(resp.data[0].b64_json)
        fname = f"{int(time.time())}.png"
        fpath = out_dir / fname
        fpath.write_bytes(img_bytes)
        return str(fpath)
    except Exception as e:
        print(f"生成失败: {e}")
        return None

# 批量跑三个场景
prompts = [
    build_prompt(s, CITY_ELEMENTS, BASE_STYLE)
    for s in scenes
]

results = []
for p in prompts:
    path = generate_image(p)
    if path:
        results.append(path)
        print(f"✓ 已保存: {path}")
    time.sleep(2)  # 避免速率限制

print(f"\n共生成 {len(results)} 张有效图片")

# ip_manifest.yaml
ip_name: "未来城市・遇见小亦"
version: "0.1"
creator: "你的团队名"

character:
  name: "小亦"
  role: "城市 AI 导览助手"
  traits:
    - "圆润造型，亲和感强"
    - "青色面罩（visor），科技感标识"
    - "手持种子舱，象征绿色科技"
  views:
    front: "output/小亦_front.png"
    side: "output/小亦_side.png"
    closeup: "output/小亦_closeup.png"

world:
  name: "亦城"
  era: "2060"
  pillars:
    - "模块化浮空建筑"
    - "立体步行网络"
    - "社区微型农场"
  scenes:
    skyline: "output/city_skyline.png"
    market: "output/sky_bridge_market.png"
    farm: "output/urban_farm_kiosk.png"

submission_checklist:
  - character_views_complete: true
  - scene_consistency_verified: true
  - prompt_log_attached: true
  - yaml_manifest_included: true