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MoneyPrinterTurbo

harry0703/MoneyPrinterTurbo

Generate HD short videos from a topic or keyword with an automated AI workflow.

GraphCanon updated Sep 18, 2026 · GitHub synced Sep 18, 2026

58views this month

125k stars19k forksLast push Sep 18, 2026 Python MIT

Decision brief

MoneyPrinterTurbo is a tool for generating high-definition short videos using AI models and automated workflows based on a topic or keyword input. It is developed in Python and is licensed under the MIT license.

Good fit when

  • When you need to generate high-definition short videos for platforms like Instagram Reels, TikTok, or YouTube Shorts, and you want an automated workflow that can handle text-to-speech, subtitles, and
  • If you are looking for a tool that integrates seamlessly with Docker for easy deployment and management of the AI video generation process.

Avoid when

  • If you are looking for a tool that does not require Docker for deployment, as MoneyPrinterTurbo relies on Docker for its operation.
  • When you need a solution that does not use pre-built images from GitHub Container Registry, as MoneyPrinterTurbo defaults to using these images for its operations.

Observed Sep 18, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 18, 2026
Provenance
Not a fork · Personal account
As of Sep 18, 2026
Security (OSV)
8 low (8 low)
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install MoneyPrinterTurbo
PyPI

How it fits your stack(1)

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Evidence and technical details

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Overview

A tool for generating high-definition short videos using AI models and automated workflows based on a topic or keyword input.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 18, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 18, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 18, 2026

Categories

Tags

README

Docker 部署 🐳 ① 启动 Docker 如果尚未安装 Docker,请先下载并安装 Docker Desktop。 Windows 用户可以参考微软的文档: 1. 安装 WSL 2. 在 WSL 中使用 Docker 容器 默认推荐使用 ,它会直接拉取 GitHub Container Registry 上的预构建镜像: 。 如果你需要本地重新构建镜像,可以继续使用 。 首次启动前,请将 复制为 ,供容器挂载使用。 ② 访问 WebUI 打开浏览器,访问 http://127.0.0.1:8501 ③ 访问 API 文档 打开浏览器,访问 ht...

For agents

This page has a .md twin and JSON over the API.

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