MiniMax H3正式开源：全模态生成模型如何重新定义视频创作

# H3-VAE 压缩比概念示意（伪代码）
class H3VAE:
    """H3 视频 Tokenizer 压缩概念模型"""
    
    def __init__(self):
        self.compression_ratio = 4  # 4倍有效序列长度增益
        self.target_resolution = (2048, 1080)  # 2K
    
    def encode(self, video_frames):
        """将视频帧编码为压缩token序列"""
        # 传统VAE: 15s 2K视频 -> ~400K tokens
        # H3-VAE: 15s 2K视频 -> ~100K tokens (4x压缩)
        raw_tokens = self._raw_tokenize(video_frames)
        compressed = self._compress(raw_tokens, ratio=self.compression_ratio)
        return compressed
    
    def decode(self, token_sequence):
        """从压缩token序列重建视频"""
        frames = self._decompress_and_reconstruct(token_sequence)
        return frames

# H3 与主流模型成本对比（按月生成量估算）
import json

# 假设每月生成100分钟视频内容
monthly_seconds = 100 * 60  # 6000秒

pricing = {
    "MiniMax H3 (2K)": {"per_second": 0.8, "resolution": "2K"},
    "MiniMax H3 (768p)": {"per_second": 0.4, "resolution": "768p"},
    "主流闭源模型 (1080p)": {"per_second": 2.5, "resolution": "1080p"},
    "旗舰闭源模型 (2K)": {"per_second": 2.8, "resolution": "2K"},
}

print("=== 月度视频生成成本对比 ===")
print(f"假设每月生成 {monthly_seconds} 秒视频
")

for model, info in pricing.items():
    monthly_cost = monthly_seconds * info["per_second"]
    print(f"{model}: {monthly_cost:,.0f} 元/月 ({info['per_second']} 元/秒)")

# 输出:
# MiniMax H3 (2K):           4,800 元/月 (0.8 元/秒)
# MiniMax H3 (768p):         2,400 元/月 (0.4 元/秒)
# 主流闭源模型 (1080p):     15,000 元/月 (2.5 元/秒)
# 旗舰闭源模型 (2K):        16,800 元/月 (2.8 元/秒)

# H3 API 调用示例：多模态视频生成
import requests
import base64
import json

def generate_video_with_h3(api_key, prompt, references=None):
    """使用 MiniMax H3 生成视频
    
    Args:
        api_key: API密钥
        prompt: 自然语言创作指令
        references: 多模态参考素材列表
            [{"type": "video", "url": "..."},
             {"type": "image", "url": "..."},
             {"type": "audio", "url": "..."}]
    """
    url = "https://api.minimax.io/v1/video_generation"
    
    payload = {
        "model": "minimax-h3",
        "prompt": prompt,
        "resolution": "2K",       # 默认2K
        "duration": 15,            # 最长15秒
        "audio": "stereo",        # 原生双声道
    }
    
    if references:
        payload["references"] = references
    
    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }
    
    response = requests.post(url, headers=headers, json=payload)
    return response.json()

# 示例：基于多模态参考生成广告视频
result = generate_video_with_h3(
    api_key="your-api-key",
    prompt="参考视频1的运镜方式，展示图片2中的产品，"
          "背景音乐使用音频3的节奏风格，"
          "画面右下角显示品牌Logo文字",
    references=[
        {"type": "video", "url": "https://example.com/ref-video.mp4"},
        {"type": "image", "url": "https://example.com/product.jpg"},
        {"type": "audio", "url": "https://example.com/bgm.mp3"}
    ]
)

print(f"任务ID: {result.get('task_id')}")
print(f"状态: {result.get('status')}")