小说转动漫完整教程

# 清理小说文本
def clean_novel_text(text):
    # 移除多余空行
    text = '\n'.join(line for line in text.split('\n') if line.strip())
    
    # 移除特殊字符
    text = text.replace('\u3000', ' ')  # 全角空格
    text = text.replace('\xa0', ' ')     # 不间断空格
    
    return text

# 使用 ElevenLabs 生成配音
from elevenlabs import generate, save

def generate_voice_line(text, character="male", output_file="line.mp3"):
    # 选择声音
    voices = {
        "male": "Arnold",      # 沉稳男声
        "female": "Bella",    # 清亮女声
        "old": "George",      # 老年男声
        "young": "Chloe"      # 年轻女声
    }
    
    audio = generate(
        text=text,
        voice=voices[character],
        model="eleven_v2"
    )
    
    save(audio, output_file)
    return output_file

# 批量生成对话
dialogue_lines = [
    {"text": "今天天气真好", "character": "female", "file": "line1.mp3"},
    {"text": "是啊，我们出去走走吧", "character": "male", "file": "line2.mp3"},
]

for line in dialogue_lines:
    generate_voice_line(line["text"], line["character"], line["file"])

import os
import subprocess
from elevenlabs import generate, save

class NovelToAnime:
    def __init__(self, novel_path):
        with open(novel_path, 'r') as f:
            self.novel_text = f.read()
        
        self.scenes = []
        self.characters = {}
        self.video_clips = []
    
    def extract_scenes(self, api_key):
        """用 AI 提取场景"""
        prompt = f"""
        请把以下小说内容转换成分镜头脚本...
        """
        # 调用 Claude API
        # 解析返回的场景列表
        pass
    
    def generate_character(self, character_desc):
        """生成角色图"""
        prompt = f"{character_desc}, character design sheet"
        # 调用 Midjourney API
        # 保存角色图
        pass
    
    def generate_scene_video(self, scene_desc):
        """生成场景视频"""
        # 先生成图
        # 再转视频
        pass
    
    def generate_voice(self, dialogue, voice_type):
        """生成配音"""
        audio = generate(text=dialogue, voice=voice_type)
        return audio
    
    def compile_video(self):
        """最终合成"""
        # 调用剪映或 FFmpeg
        pass