用Pika Labs制作创意表情包指南

import jsonfrom typing import Dict, List class MemePromptGenerator:    def __init__(self):        self.styles = ['cartoon', 'realistic', 'anime', 'pixel', '3d_render']        self.emotions = ['happy', 'surprised', 'sad', 'angry', 'shy', 'confused', 'excited', 'tired']        self.actions = ['jumping', 'waving', 'nodding', 'shaking_head', 'clapping', 'dancing']     def build_prompt(self, character: str, emotion: str, style: str = 'cartoon',                     exaggeration: float = 0.7, action: str = None) -> Dict:        if style not in self.styles:            return {'status': 'error', 'message': f'unsupported style: {style}'}        if emotion not in self.emotions:            return {'status': 'error', 'message': f'unsupported emotion: {emotion}'}        if exaggeration < 0 or exaggeration > 1:            return {'status': 'error', 'message': 'exaggeration must be 0-1'}        parts = [f'{character}', f'{style} style', f'{emotion} expression']        if action:            parts.append(f'{action} action')        parts.append(f'exaggeration level {int(exaggeration * 10)}')        prompt = ', '.join(parts)        return {'prompt': prompt, 'character': character, 'emotion': emotion,                'style': style, 'exaggeration': exaggeration, 'action': action,                'estimated_quality': self._estimate_quality(character, style, exaggeration)}     def _estimate_quality(self, character: str, style: str, exaggeration: float) -> float:        score = 0.5        if len(character) > 10:            score += 0.2        if style == 'cartoon':            score += 0.1        if 0.5 <= exaggeration <= 0.8:            score += 0.1        return round(min(score, 1.0), 2)     def batch_generate(self, character: str, style: str = 'cartoon',                       emotions: List[str] = None) -> List[Dict]:        if emotions is None:            emotions = self.emotions        results = []        for emo in emotions:            prompt = self.build_prompt(character, emo, style)            if prompt['status'] != 'error':                results.append(prompt)        return results  class MemeExportOptimizer:    def __init__(self):        self.platform_specs = {            'wechat': {'max_size_kb': 300, 'width': 240, 'height': 240, 'format': 'gif', 'fps': 12},            'weibo': {'max_size_kb': 5000, 'width': 480, 'height': 480, 'format': 'gif', 'fps': 15},            'douyin': {'max_size_kb': 10000, 'width': 720, 'height': 720, 'format': 'mp4', 'fps': 24},            'qq': {'max_size_kb': 500, 'width': 300, 'height': 300, 'format': 'gif', 'fps': 15}        }     def get_platform_spec(self, platform: str) -> Dict:        if platform not in self.platform_specs:            return {'status': 'error', 'message': f'unsupported platform: {platform}'}        return self.platform_specs[platform]     def optimize_settings(self, original_size_kb: float, platform: str) -> Dict:        spec = self.get_platform_spec(platform)        if isinstance(spec, dict) and 'status' in spec and spec['status'] == 'error':            return spec        if original_size_kb <= spec['max_size_kb']:            return {'platform': platform, 'optimization_needed': False,                    'target_size_kb': spec['max_size_kb'], 'original_size_kb': original_size_kb,                    'recommendations': ['size already meets requirement']}        ratio = spec['max_size_kb'] / original_size_kb        recs = []        if ratio < 0.5:            recs.append('reduce frame rate significantly')            recs.append('reduce color palette')        elif ratio < 0.8:            recs.append('slightly reduce frame rate')            recs.append('reduce resolution by 10-20%')        else:            recs.append('minor compression should suffice')        recs.append(f'target size: {spec["max_size_kb"]}KB')        recs.append(f'recommended fps: {spec["fps"]}')        recs.append(f'recommended resolution: {spec["width"]}x{spec["height"]}')        return {'platform': platform, 'optimization_needed': True,                'original_size_kb': original_size_kb, 'target_size_kb': spec['max_size_kb'],                'compression_ratio': round(ratio, 2), 'recommendations': recs}     def batch_check(self, meme_list: List[Dict], platform: str) -> Dict:        spec = self.get_platform_spec(platform)        if isinstance(spec, dict) and 'status' in spec and spec['status'] == 'error':            return spec        over_limit = []        for i, meme in enumerate(meme_list):            if meme.get('size_kb', 0) > spec['max_size_kb']:                over_limit.append({'index': i, 'size_kb': meme['size_kb']})        return {'platform': platform, 'total_memes': len(meme_list),                'over_limit_count': len(over_limit), 'over_limit_items': over_limit,                'limit_kb': spec['max_size_kb']}  generator = MemePromptGenerator()prompt = generator.build_prompt('a chubby orange cat', 'surprised', style='cartoon',                                exaggeration=0.8, action='jumping')print('Generated Prompt:', json.dumps(prompt, indent=2, ensure_ascii=False))batch = generator.batch_generate('a cute panda', style='anime',                                 emotions=['happy', 'sad', 'surprised', 'angry'])print(f'Batch generated {len(batch)} prompts')optimizer = MemeExportOptimizer()wechat_opt = optimizer.optimize_settings(original_size_kb=450, platform='wechat')print('WeChat Optimization:', json.dumps(wechat_opt, indent=2, ensure_ascii=False))meme_list = [{'size_kb': 280}, {'size_kb': 350}, {'size_kb': 200}, {'size_kb': 400}]check_result = optimizer.batch_check(meme_list, platform='wechat')print('Batch Check Result:', json.dumps(check_result, indent=2, ensure_ascii=False))