图片转视频 MCP Server - 基于百度千帆 viduq2-turbo 模型
Project description
img-to-video-dkx
图片转视频 MCP Server - 基于百度千帆 viduq2-turbo 模型
功能特性
- MCP Protocol: 完全兼容 Model Context Protocol
- 图片转视频: 使用百度千帆 viduq2-turbo 模型
- OSS 集成: 自动上传图片到阿里云 OSS
- 异步处理: 后台生成视频,任务状态追踪
安装
# 从 PyPI 安装
pip install img-to-video-dkx
# 从源码安装
pip install .
快速开始
配置环境变量
# 百度千帆 API
export QIANFAN_API_KEY=your_api_key
export QIANFAN_APPID=your_appid
# 阿里云 OSS
export ALIYUN_ACCESS_KEY_ID=your_access_key
export ALIYUN_ACCESS_KEY_SECRET=your_access_secret
export ALIYUN_OSS_ENDPOINT=oss-cn-hangzhou.aliyuncs.com
export ALIYUN_OSS_BUCKET=your_bucket_name
启动服务
# 使用命令行入口
img-to-video-mcp
# 或直接运行
python -m img_to_video_dkx.server
MCP Tools
generate_video_from_image
将静态图片转换为动态视频。
| 参数 | 类型 | 默认值 | 说明 |
|---|---|---|---|
| image_base64 | str | 必需 | 图片的 Base64 编码 |
| prompt | str | "嘴巴动起来" | 视频动作描述 |
| duration | int | 4 | 视频时长(秒) |
| resolution | str | "1080p" | 分辨率 |
| movement_amplitude | str | "auto" | 运动幅度 |
check_video_status
查询视频生成任务状态。
| 参数 | 类型 | 说明 |
|---|---|---|
| task_id | str | 任务 ID |
数据流
MCP 请求 → 图片上传 OSS → viduq2-turbo API → 返回视频 URL
License
MIT
Project details
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