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puke
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reelforge/prompts/image_prompt_template.py
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174
reelforge/prompts/image_prompt_template.py
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"""
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Image prompt generation template
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"""
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import json
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from typing import List, Optional
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# ==================== PRESET IMAGE STYLES ====================
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# Predefined visual styles for different use cases
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IMAGE_STYLE_PRESETS = {
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"stick_figure": {
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"name": "火柴人简笔画",
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"description": "stick figure style sketch, black and white lines, pure white background, minimalist hand-drawn feel",
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"use_case": "通用场景，简单直观"
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},
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"book": {
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"name": "书籍阅读场景",
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"description": "warm book-related scenes, reading atmosphere, books and bookshelves, soft lighting, cozy learning environment, professional photography style",
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"use_case": "书单号视频（推荐）"
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},
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"minimal": {
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"name": "极简抽象",
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"description": "minimalist abstract art, geometric shapes, clean composition, modern design, soft pastel colors",
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"use_case": "现代感、艺术感"
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},
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"concept": {
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"name": "概念化视觉",
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"description": "conceptual visual metaphors, symbolic elements, thought-provoking imagery, artistic interpretation",
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"use_case": "深度内容、哲学思考"
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},
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}
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# Default preset
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DEFAULT_IMAGE_STYLE = "stick_figure"
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IMAGE_PROMPT_GENERATION_PROMPT = """# 角色定位
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你是一个专业的视觉创意设计师，擅长为视频脚本创作富有表现力和象征性的图像提示词，将抽象概念转化为具象的视觉画面。
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# 核心任务
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基于已有的视频脚本，为每个分镜的"旁白内容"创作对应的**英文**图像提示词，确保视觉画面与叙述内容完美配合，增强观众的理解和记忆。
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# 输入内容
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{narrations_json}
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# 输出要求
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## 图像提示词规范
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- 语言：**必须使用英文**（用于 AI 图像生成模型）
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- 画面风格：{style_description}
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- 描述结构：scene + character action + emotion + symbolic elements
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- 描述长度：确保描述清晰完整且富有创意（建议 50-100 个英文单词）
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## 视觉创意要求
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- 每个图像都要准确反映对应旁白的具体内容和情感
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- 使用象征手法将抽象概念视觉化（如用路径代表人生选择，用锁链代表束缚等）
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- 画面要表现出丰富的情感和动作，增强视觉冲击力
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- 通过构图和元素安排突出主题，避免过于直白的表现方式
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## 关键英文词汇参考
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- 象征元素：symbolic elements
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- 表情：expression / facial expression
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- 动作：action / gesture / movement
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- 场景：scene / setting
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- 氛围：atmosphere / mood
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## 视觉与文案配合原则
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- 图像要服务于文案，成为文案内容的视觉延伸
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- 避免与文案内容无关或矛盾的视觉元素
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- 选择最能增强文案说服力的视觉表现方式
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- 确保观众能通过图像快速理解文案的核心观点
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## 创意指导
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1. **现象描述类文案**：用直观的场景表现社会现象
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2. **原因分析类文案**：用因果关系的视觉比喻表现内在逻辑
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3. **影响论证类文案**：用后果场景或对比手法表现影响程度
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4. **深入探讨类文案**：用抽象概念的具象化表现深刻思考
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5. **结论启发类文案**：用开放式场景或指引性元素表现启发性
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# 输出格式
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严格按照以下JSON格式输出，**图像提示词必须是英文**：
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```json
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{{
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"image_prompts": [
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"[detailed English image prompt following the style requirements]",
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"[detailed English image prompt following the style requirements]"
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]
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}}
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```
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# 重要提醒
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1. 只输出JSON格式内容，不要添加任何解释说明
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2. 确保JSON格式严格正确，可以被程序直接解析
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3. 输入是 {{"narrations": [旁白数组]}} 格式，输出是 {{"image_prompts": [图像提示词数组]}} 格式
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4. **图像提示词必须使用英文**（for AI image generation models）
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5. 图像提示词必须准确反映对应旁白的具体内容和情感
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6. 每个图像都要有创意性和视觉冲击力，避免千篇一律
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7. 严格遵守上述指定的画面风格要求（{style_description}）
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8. 确保视觉画面能增强文案的说服力和观众的理解度
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现在，请为上述旁白创作对应的**英文**图像提示词。只输出JSON，不要其他内容。
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"""
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def build_image_prompt_prompt(
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narrations: List[str],
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min_words: int,
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max_words: int,
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image_style_preset: Optional[str] = None,
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image_style_description: Optional[str] = None
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) -> str:
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"""
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Build image prompt generation prompt
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Args:
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narrations: List of narrations
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min_words: Minimum word count
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max_words: Maximum word count
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image_style_preset: Preset style name (e.g., "book", "stick_figure", "minimal", "concept")
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Available presets: see IMAGE_STYLE_PRESETS
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image_style_description: Custom style description (overrides preset if provided)
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Example: "warm book scenes, soft lighting, professional photography"
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Returns:
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Formatted prompt
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Examples:
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# Use preset style
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>>> build_image_prompt_prompt(narrations, 50, 100, image_style_preset="book")
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# Use custom style
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>>> build_image_prompt_prompt(
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... narrations, 50, 100,
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... image_style_description="cyberpunk style, neon colors, futuristic"
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... )
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# Use default style (stick_figure)
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>>> build_image_prompt_prompt(narrations, 50, 100)
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"""
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# Determine style description
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if image_style_description:
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# Custom description takes priority
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style_desc = image_style_description
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elif image_style_preset:
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# Use preset
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if image_style_preset not in IMAGE_STYLE_PRESETS:
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raise ValueError(
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f"Unknown preset '{image_style_preset}'. "
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f"Available presets: {list(IMAGE_STYLE_PRESETS.keys())}"
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)
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style_desc = IMAGE_STYLE_PRESETS[image_style_preset]["description"]
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else:
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# Use default preset
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style_desc = IMAGE_STYLE_PRESETS[DEFAULT_IMAGE_STYLE]["description"]
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narrations_json = json.dumps(
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{"narrations": narrations},
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ensure_ascii=False,
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indent=2
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)
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return IMAGE_PROMPT_GENERATION_PROMPT.format(
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narrations_json=narrations_json,
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min_words=min_words,
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max_words=max_words,
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style_description=style_desc
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)
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