429 lines
14 KiB
Go
429 lines
14 KiB
Go
package services
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import (
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"fmt"
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"strings"
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"github.com/drama-generator/backend/domain/models"
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"github.com/drama-generator/backend/pkg/logger"
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"gorm.io/gorm"
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)
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// FramePromptService 处理帧提示词生成
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type FramePromptService struct {
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db *gorm.DB
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aiService *AIService
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log *logger.Logger
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}
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// NewFramePromptService 创建帧提示词服务
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func NewFramePromptService(db *gorm.DB, log *logger.Logger) *FramePromptService {
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return &FramePromptService{
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db: db,
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aiService: NewAIService(db, log),
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log: log,
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}
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}
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// FrameType 帧类型
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type FrameType string
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const (
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FrameTypeFirst FrameType = "first" // 首帧
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FrameTypeKey FrameType = "key" // 关键帧
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FrameTypeLast FrameType = "last" // 尾帧
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FrameTypePanel FrameType = "panel" // 分镜板(3格组合)
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FrameTypeAction FrameType = "action" // 动作序列(5格)
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)
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// GenerateFramePromptRequest 生成帧提示词请求
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type GenerateFramePromptRequest struct {
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StoryboardID string `json:"storyboard_id"`
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FrameType FrameType `json:"frame_type"`
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// 可选参数
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PanelCount int `json:"panel_count,omitempty"` // 分镜板格数,默认3
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}
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// FramePromptResponse 帧提示词响应
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type FramePromptResponse struct {
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FrameType FrameType `json:"frame_type"`
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SingleFrame *SingleFramePrompt `json:"single_frame,omitempty"` // 单帧提示词
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MultiFrame *MultiFramePrompt `json:"multi_frame,omitempty"` // 多帧提示词
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}
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// SingleFramePrompt 单帧提示词
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type SingleFramePrompt struct {
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Prompt string `json:"prompt"`
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Description string `json:"description"`
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}
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// MultiFramePrompt 多帧提示词
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type MultiFramePrompt struct {
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Layout string `json:"layout"` // horizontal_3, grid_2x2 等
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Frames []SingleFramePrompt `json:"frames"`
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}
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// GenerateFramePrompt 生成指定类型的帧提示词并保存到frame_prompts表
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func (s *FramePromptService) GenerateFramePrompt(req GenerateFramePromptRequest) (*FramePromptResponse, error) {
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// 查询分镜信息
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var storyboard models.Storyboard
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if err := s.db.Preload("Characters").First(&storyboard, req.StoryboardID).Error; err != nil {
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return nil, fmt.Errorf("storyboard not found: %w", err)
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}
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// 获取场景信息
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var scene *models.Scene
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if storyboard.SceneID != nil {
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scene = &models.Scene{}
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if err := s.db.First(scene, *storyboard.SceneID).Error; err != nil {
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s.log.Warnw("Scene not found", "scene_id", *storyboard.SceneID)
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scene = nil
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}
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}
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response := &FramePromptResponse{
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FrameType: req.FrameType,
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}
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// 生成提示词
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switch req.FrameType {
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case FrameTypeFirst:
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response.SingleFrame = s.generateFirstFrame(storyboard, scene)
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// 保存单帧提示词
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s.saveFramePrompt(req.StoryboardID, string(req.FrameType), response.SingleFrame.Prompt, response.SingleFrame.Description, "")
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case FrameTypeKey:
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response.SingleFrame = s.generateKeyFrame(storyboard, scene)
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s.saveFramePrompt(req.StoryboardID, string(req.FrameType), response.SingleFrame.Prompt, response.SingleFrame.Description, "")
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case FrameTypeLast:
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response.SingleFrame = s.generateLastFrame(storyboard, scene)
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s.saveFramePrompt(req.StoryboardID, string(req.FrameType), response.SingleFrame.Prompt, response.SingleFrame.Description, "")
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case FrameTypePanel:
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count := req.PanelCount
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if count == 0 {
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count = 3
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}
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response.MultiFrame = s.generatePanelFrames(storyboard, scene, count)
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// 保存多帧提示词(合并为一条记录)
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var prompts []string
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for _, frame := range response.MultiFrame.Frames {
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prompts = append(prompts, frame.Prompt)
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}
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combinedPrompt := strings.Join(prompts, "\n---\n")
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s.saveFramePrompt(req.StoryboardID, string(req.FrameType), combinedPrompt, "分镜板组合提示词", response.MultiFrame.Layout)
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case FrameTypeAction:
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response.MultiFrame = s.generateActionSequence(storyboard, scene)
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var prompts []string
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for _, frame := range response.MultiFrame.Frames {
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prompts = append(prompts, frame.Prompt)
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}
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combinedPrompt := strings.Join(prompts, "\n---\n")
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s.saveFramePrompt(req.StoryboardID, string(req.FrameType), combinedPrompt, "动作序列组合提示词", response.MultiFrame.Layout)
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default:
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return nil, fmt.Errorf("unsupported frame type: %s", req.FrameType)
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}
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return response, nil
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}
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// saveFramePrompt 保存帧提示词到数据库
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func (s *FramePromptService) saveFramePrompt(storyboardID, frameType, prompt, description, layout string) {
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framePrompt := models.FramePrompt{
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StoryboardID: uint(mustParseUint(storyboardID)),
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FrameType: frameType,
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Prompt: prompt,
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}
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if description != "" {
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framePrompt.Description = &description
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}
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if layout != "" {
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framePrompt.Layout = &layout
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}
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// 先删除同类型的旧记录(保持最新)
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s.db.Where("storyboard_id = ? AND frame_type = ?", storyboardID, frameType).Delete(&models.FramePrompt{})
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// 插入新记录
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if err := s.db.Create(&framePrompt).Error; err != nil {
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s.log.Warnw("Failed to save frame prompt", "error", err, "storyboard_id", storyboardID, "frame_type", frameType)
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}
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}
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// mustParseUint 辅助函数
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func mustParseUint(s string) uint64 {
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var result uint64
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fmt.Sscanf(s, "%d", &result)
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return result
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}
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// generateFirstFrame 生成首帧提示词
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func (s *FramePromptService) generateFirstFrame(sb models.Storyboard, scene *models.Scene) *SingleFramePrompt {
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// 构建上下文信息
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contextInfo := s.buildStoryboardContext(sb, scene)
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// 构建AI提示词
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systemPrompt := `你是一个专业的图像生成提示词专家。请根据提供的镜头信息,生成适合用于AI图像生成的提示词。
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重要:这是镜头的首帧 - 一个完全静态的画面,展示动作发生之前的初始状态。
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要求:
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1. 直接输出提示词,不要任何解释说明
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2. 可以使用中文或英文,用逗号分隔关键词
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3. 只描述静态视觉元素:场景环境、角色姿态、表情、氛围、光线
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4. 不要包含任何动作动词(如:猛然、弹起、坐直、抓住等)
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5. 描述角色处于动作发生前的状态(如:躺在床上、站立、坐着等静态姿态)
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6. 适合动画风格(anime style)
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示例格式:
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Anime style, 城市公寓卧室, 凌晨, 昏暗房间, 床上, 年轻男子躺着, 表情平静, 闭眼睡眠, 柔和光线, 静谧氛围, 中景, 平视`
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userPrompt := fmt.Sprintf(`镜头信息:
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%s
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请直接生成首帧的图像提示词,不要任何解释:`, contextInfo)
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// 调用AI生成
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prompt, err := s.aiService.GenerateText(userPrompt, systemPrompt)
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if err != nil {
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s.log.Warnw("AI generation failed, using fallback", "error", err)
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// 降级方案:使用简单拼接
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prompt = s.buildFallbackPrompt(sb, scene, "first frame, static shot")
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}
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// 如果AI返回空字符串,使用降级方案
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prompt = strings.TrimSpace(prompt)
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if prompt == "" {
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s.log.Warnw("AI returned empty prompt, using fallback", "storyboard_id", sb.ID)
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prompt = s.buildFallbackPrompt(sb, scene, "first frame, static shot")
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}
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return &SingleFramePrompt{
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Prompt: prompt,
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Description: "镜头开始的静态画面,展示初始状态",
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}
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}
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// generateKeyFrame 生成关键帧提示词
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func (s *FramePromptService) generateKeyFrame(sb models.Storyboard, scene *models.Scene) *SingleFramePrompt {
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// 构建上下文信息
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contextInfo := s.buildStoryboardContext(sb, scene)
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// 构建AI提示词
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systemPrompt := `你是一个专业的图像生成提示词专家。请根据提供的镜头信息,生成适合用于AI图像生成的提示词。
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重要:这是镜头的关键帧 - 捕捉动作最激烈、最精彩的瞬间。
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要求:
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1. 直接输出提示词,不要任何解释说明
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2. 可以使用中文或英文,用逗号分隔关键词
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3. 重点描述动作的高潮瞬间:身体姿态、运动轨迹、力量感
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4. 包含动态元素:动作模糊、速度线、冲击感
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5. 强调表情和情绪的极致状态
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6. 适合动画风格(anime style)
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示例格式:
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Anime style, 城市街道, 白天, 男子全力冲刺, 身体前倾, 动作模糊, 速度线, 汗水飞溅, 表情坚毅, 紧张氛围, 动态镜头, 中景`
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userPrompt := fmt.Sprintf(`镜头信息:
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%s
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请直接生成关键帧的图像提示词,不要任何解释:`, contextInfo)
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// 调用AI生成
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prompt, err := s.aiService.GenerateText(userPrompt, systemPrompt)
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if err != nil {
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s.log.Warnw("AI generation failed, using fallback", "error", err)
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prompt = s.buildFallbackPrompt(sb, scene, "key frame, dynamic action")
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}
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// 如果AI返回空字符串,使用降级方案
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prompt = strings.TrimSpace(prompt)
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if prompt == "" {
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s.log.Warnw("AI returned empty prompt, using fallback", "storyboard_id", sb.ID)
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prompt = s.buildFallbackPrompt(sb, scene, "key frame, dynamic action")
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}
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return &SingleFramePrompt{
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Prompt: prompt,
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Description: "动作高潮瞬间,展示关键动作",
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}
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}
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// generateLastFrame 生成尾帧提示词
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func (s *FramePromptService) generateLastFrame(sb models.Storyboard, scene *models.Scene) *SingleFramePrompt {
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// 构建上下文信息
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contextInfo := s.buildStoryboardContext(sb, scene)
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// 构建AI提示词
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systemPrompt := `你是一个专业的图像生成提示词专家。请根据提供的镜头信息,生成适合用于AI图像生成的提示词。
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重要:这是镜头的尾帧 - 一个静态画面,展示动作结束后的最终状态和结果。
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要求:
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1. 直接输出提示词,不要任何解释说明
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2. 可以使用中文或英文,用逗号分隔关键词
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3. 只描述静态的最终状态:角色姿态、表情、环境变化
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4. 不要包含动作过程,只展示动作的结果和余韵
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5. 强调情绪的余波和氛围的沉淀
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6. 适合动画风格(anime style)
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示例格式:
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Anime style, 房间内, 黄昏, 男子坐在椅子上, 身体放松, 表情疲惫, 长出一口气, 汗水滴落, 平静氛围, 静态镜头, 中景`
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userPrompt := fmt.Sprintf(`镜头信息:
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%s
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请直接生成尾帧的图像提示词,不要任何解释:`, contextInfo)
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// 调用AI生成
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prompt, err := s.aiService.GenerateText(userPrompt, systemPrompt)
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if err != nil {
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s.log.Warnw("AI generation failed, using fallback", "error", err)
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prompt = s.buildFallbackPrompt(sb, scene, "last frame, final state")
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}
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// 如果AI返回空字符串,使用降级方案
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prompt = strings.TrimSpace(prompt)
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if prompt == "" {
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s.log.Warnw("AI returned empty prompt, using fallback", "storyboard_id", sb.ID)
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prompt = s.buildFallbackPrompt(sb, scene, "last frame, final state")
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}
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return &SingleFramePrompt{
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Prompt: prompt,
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Description: "镜头结束画面,展示最终状态和结果",
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}
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}
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// generatePanelFrames 生成分镜板(多格组合)
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func (s *FramePromptService) generatePanelFrames(sb models.Storyboard, scene *models.Scene, count int) *MultiFramePrompt {
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layout := fmt.Sprintf("horizontal_%d", count)
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frames := make([]SingleFramePrompt, count)
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// 固定生成:首帧 -> 关键帧 -> 尾帧
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if count == 3 {
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frames[0] = *s.generateFirstFrame(sb, scene)
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frames[0].Description = "第1格:初始状态"
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frames[1] = *s.generateKeyFrame(sb, scene)
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frames[1].Description = "第2格:动作高潮"
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frames[2] = *s.generateLastFrame(sb, scene)
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frames[2].Description = "第3格:最终状态"
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} else if count == 4 {
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// 4格:首帧 -> 中间帧1 -> 中间帧2 -> 尾帧
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frames[0] = *s.generateFirstFrame(sb, scene)
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frames[1] = *s.generateKeyFrame(sb, scene)
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frames[2] = *s.generateKeyFrame(sb, scene)
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frames[3] = *s.generateLastFrame(sb, scene)
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}
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return &MultiFramePrompt{
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Layout: layout,
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Frames: frames,
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}
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}
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// generateActionSequence 生成动作序列(5-8格)
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func (s *FramePromptService) generateActionSequence(sb models.Storyboard, scene *models.Scene) *MultiFramePrompt {
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// 将动作分解为5个步骤
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frames := make([]SingleFramePrompt, 5)
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// 简化实现:均匀分布从首帧到尾帧
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frames[0] = *s.generateFirstFrame(sb, scene)
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frames[1] = *s.generateKeyFrame(sb, scene)
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frames[2] = *s.generateKeyFrame(sb, scene)
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frames[3] = *s.generateKeyFrame(sb, scene)
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frames[4] = *s.generateLastFrame(sb, scene)
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return &MultiFramePrompt{
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Layout: "horizontal_5",
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Frames: frames,
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}
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}
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// buildStoryboardContext 构建镜头上下文信息
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func (s *FramePromptService) buildStoryboardContext(sb models.Storyboard, scene *models.Scene) string {
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var parts []string
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// 镜头描述(最重要)
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if sb.Description != nil && *sb.Description != "" {
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parts = append(parts, fmt.Sprintf("镜头描述: %s", *sb.Description))
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}
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// 场景信息
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if scene != nil {
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parts = append(parts, fmt.Sprintf("场景: %s, %s", scene.Location, scene.Time))
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} else if sb.Location != nil && sb.Time != nil {
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parts = append(parts, fmt.Sprintf("场景: %s, %s", *sb.Location, *sb.Time))
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}
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// 角色
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if len(sb.Characters) > 0 {
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var charNames []string
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for _, char := range sb.Characters {
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charNames = append(charNames, char.Name)
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}
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parts = append(parts, fmt.Sprintf("角色: %s", strings.Join(charNames, ", ")))
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}
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// 动作
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if sb.Action != nil && *sb.Action != "" {
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parts = append(parts, fmt.Sprintf("动作: %s", *sb.Action))
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}
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// 结果
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if sb.Result != nil && *sb.Result != "" {
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parts = append(parts, fmt.Sprintf("结果: %s", *sb.Result))
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}
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// 对白
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if sb.Dialogue != nil && *sb.Dialogue != "" {
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parts = append(parts, fmt.Sprintf("对白: %s", *sb.Dialogue))
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}
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// 氛围
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if sb.Atmosphere != nil && *sb.Atmosphere != "" {
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parts = append(parts, fmt.Sprintf("氛围: %s", *sb.Atmosphere))
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}
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// 镜头参数
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if sb.ShotType != nil {
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parts = append(parts, fmt.Sprintf("景别: %s", *sb.ShotType))
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}
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if sb.Angle != nil {
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parts = append(parts, fmt.Sprintf("角度: %s", *sb.Angle))
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}
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if sb.Movement != nil {
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parts = append(parts, fmt.Sprintf("运镜: %s", *sb.Movement))
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}
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return strings.Join(parts, "\n")
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}
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// buildFallbackPrompt 构建降级提示词(AI失败时使用)
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func (s *FramePromptService) buildFallbackPrompt(sb models.Storyboard, scene *models.Scene, suffix string) string {
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var parts []string
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// 场景
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if scene != nil {
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parts = append(parts, fmt.Sprintf("%s, %s", scene.Location, scene.Time))
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}
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// 角色
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if len(sb.Characters) > 0 {
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for _, char := range sb.Characters {
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parts = append(parts, char.Name)
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}
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}
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// 氛围
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if sb.Atmosphere != nil {
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parts = append(parts, *sb.Atmosphere)
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}
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parts = append(parts, "anime style", suffix)
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return strings.Join(parts, ", ")
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}
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