Video Stickfigure

纯黑背景版（备选）

minimalist stick figure, pure black background #000000,
white line art only, simple 5-stroke drawing,
[动作描述],
exaggerated pose, no shading, no gradient, no gray,
stark contrast, cartoon style,
vertical composition 9:16, no text, no watermark

选择建议：

• 深墨绿版：有黑板质感，视觉更柔和 ✅ 推荐
• 纯黑版：对比度更高，更简洁

动作描述 + 氛围元素（必须包含！）

火柴人不能孤零零的！必须加氛围元素来衬托情绪！

Prompt组装公式

[基础模板] + [人物动作] + [氛围元素] + [后缀]

示例：衰老场景

minimalist chalk-style stick figure on dark green chalkboard background #3c5b45,
white chalk line art, simple 5-stroke drawing style,
person slumped over tired posture aging feeling,
withered leaves falling around, dim shadows, cracked ground beneath,
exaggerated pose, hand-drawn feel, chalk texture,
no shading, no gradient, stark contrast,
vertical composition 9:16, no text, no watermark

示例：爬台阶场景

minimalist chalk-style stick figure on dark green chalkboard background #3c5b45,
white chalk line art, simple 5-stroke drawing style,
person climbing stairs upward with determination,
sunlight rays streaming from above, distant mountain peak visible, glowing stars,
exaggerated pose, hand-drawn feel, chalk texture,
no shading, no gradient, stark contrast,
vertical composition 9:16, no text, no watermark

⚠️ 氛围元素规则

1. 必须添加 - 不加氛围元素的火柴人图太单调
2. 与情绪匹配 - 消极情绪用暗元素，积极情绪用亮元素
3. 不要太多 - 2-3个氛围元素足够，太多会杂乱
4. 保持简约 - 氛围元素也是粉笔画风格，不要写实

🎨 HSV背景统一处理（必做！）

AI无法精确控制颜色！生图后必须用代码统一背景色！

处理脚本

import cv2
import numpy as np

def unify_background_hsv(input_path, output_path, target_hex="#3c5b45"):
    """
    用HSV范围替换统一背景色
    """
    img = cv2.imread(input_path)
    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    
    # 绿色系HSV范围（覆盖AI生成的各种绿色）
    lower = np.array([35, 20, 20])
    upper = np.array([85, 255, 255])
    
    # 创建掩码
    mask = cv2.inRange(hsv, lower, upper)
    
    # 目标颜色 BGR
    target_bgr = tuple(int(target_hex.lstrip('#')[i:i+2], 16) for i in (4, 2, 0))
    
    # 替换背景
    result = img.copy()
    result[mask > 0] = target_bgr
    
    cv2.imwrite(output_path, result)
    return output_path

# 批量处理
import glob
for f in glob.glob("stick*.png"):
    if "_unified" not in f:
        out = f.replace(".png", "_unified.png")
        unify_background_hsv(f, out)
        print(f"处理完成: {out}")

命令行版本

python3 << 'EOF'
import cv2
import numpy as np
import glob
import sys

target_hex = "#3c5b45"
target_bgr = tuple(int(target_hex.lstrip('#')[i:i+2], 16) for i in (4, 2, 0))

for f in glob.glob("stick*.png"):
    if "_unified" in f:
        continue
    img = cv2.imread(f)
    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    mask = cv2.inRange(hsv, np.array([35,20,20]), np.array([85,255,255]))
    result = img.copy()
    result[mask > 0] = target_bgr
    out = f.replace(".png", "_unified.png")
    cv2.imwrite(out, result)
    print(f"✅ {f} -> {out}")
EOF

✅ 检查清单（必须全部通过！）

在交付图片前，必须确认：

# 快速检查文件大小
ls -la stick*_unified.png | awk '{if($5<50000) print "❌ "$9" 太小: "$5"B"; else print "✅ "$9": "$5"B"}'

📁 输出规范

后续流程只使用 *_unified.png 文件！

🚫 常见错误