Подработка в TikTok, YouTube Shorts или Instagram Reels без Premiere и без лица в кадре. MoneyPrinterTurbo (MIT, 67 000+ звёзд на GitHub, май 2026) из одной темы делает вертикальный или горизонтальный ролик: сценарий, сток, озвучка, субтитры, музыка, рендер.
Фабрика faceless-видео для новичков. Web UI порт 8501, API 8080. На macOS batch удобен на always-on Mac. Текстовые пайплайны — делегирование subagent Hermes; здесь — видеовыход.
Внутренний пайплайн MoneyPrinterTurbo
MoneyPrinterTurbo uses a clear MVC layout (per upstream README). Data flows in one direction:
Topic / keyword
→ LLM script (config.toml llm_provider + API keys)
→ Stock footage (Pexels API) or local clips
→ TTS voice (edge / Azure)
→ Subtitles (edge or whisper ~3GB)
→ Background music (resource/songs/)
→ ffmpeg + ImageMagick → MP4 (9:16 or 16:9)| Stage | Default path / config key | Output |
|---|---|---|
| Script | llm_provider in config.toml | Chinese or English copy |
| Footage | pexels_api_keys | HD royalty-free clips |
| Voice | Azure / edge voices | docs/voice-list.txt catalog |
| Subtitles | subtitle_provider = edge | SRT burned into video |
| Render | ffmpeg_path, ImageMagick | 1080x1920 (9:16) or 1920x1080 |
Quotable: Upstream recommends 8 GB RAM minimum, 16 GB for smoother batch runs, and 4 GB+ GPU VRAM only for heavier local whisper—not required with cloud LLMs and edge subtitles.
Source: MoneyPrinterTurbo README.
Матрица платформ
| Platform | Aspect ratio | Typical length | MoneyPrinterTurbo setting |
|---|---|---|---|
| TikTok | 9:16 vertical | 15–60 s | 1080x1920, short segments |
| Instagram Reels | 9:16 vertical | 30–90 s | Same; review text overlay manually |
| YouTube Shorts | 9:16 vertical | ≤60 s | Trim in upload or shorten segment duration |
| YouTube standard | 16:9 | 3–8 min | 1920x1080, longer script in Web UI |
If you target Shorts only, do enable batch generation and pick the best of 3–5 renders. If you need talking-head credibility, do not expect this tool to replace on-camera builds—it excels at stock B-roll + voice-over faceless formats.
Runbook macOS: 8 шагов
Eight steps from clone to optional API automation—tested on Apple Silicon and Intel Macs you control.
- Clone the repo — Avoid Chinese characters or spaces in the install path (upstream warning).
- Install dependencies with uv — Python 3.11 is the upstream default.
- Install ImageMagick — Required for subtitle rendering on macOS (ffmpeg via Homebrew).
- Configure API keys — Copy config.example.toml → config.toml. Set pexels_api_keys (free tier at pexels.com/api).
- Launch the Web UI — Open http://127.0.0.1:8501 in Chrome or Edge if the auto tab is blank.
- Generate your first vertical short — Enter a topic (e.g. "3 habits that improve sleep"), choose 9:16, pick voice + subtitle style, click generate.
- Batch mode for matrix publishing — Generate 3–5 MP4s with varied hooks; schedule on a Mac that does not sleep (pmset -c sleep 0 on plugged-in laptops).
- Optional API automation — Start uv run python main.py and hit http://127.0.0.1:8080/docs—wrap inside a Hermes delegate_task worker that drops topics from a spreadsheet.
git clone https://github.com/harry0703/MoneyPrinterTurbo.git
cd MoneyPrinterTurbouv python install 3.11
uv sync --frozenbrew install imagemagick ffmpeguv run streamlit run ./webui/Main.py --browser.gatherUsageStats=FalseHardware reference: Apple Mac mini specifications list 16 GB on base M4—enough for Web UI + one render; choose 24 GB with whisper locally plus browser tabs.
Устранение неполадок
RuntimeError: No ffmpeg exe could be found
Симптом: Render fails immediately; stack trace mentions IMAGEIO_FFMPEG_EXE.
Решение: Install ffmpeg (brew install ffmpeg) or download a static build from gyan.dev ffmpeg builds:
[app]
ffmpeg_path = "/opt/homebrew/bin/ffmpegImageMagick policy blocks temporary text files
Симптом: Error referencing pattern="@" and policy.xml.
Решение: Edit ImageMagick policy.xml (Homebrew: /opt/homebrew/etc/ImageMagick-7/policy.xml)—change the @ pattern from rights="none" to rights="read|write".
OSError: Too many open files during batch render
Симптом: Batch job dies mid-queue on macOS.
Решение: Raise the limit before launching Streamlit:
ulimit -n 10240
uv run streamlit run ./webui/Main.py --browser.gatherUsageStats=FalseWhisper model download fails (China network)
Симптом: HuggingFace timeout when subtitle_provider = whisper.
Решение: Stay on edge subtitles first. If you need whisper, manually download whisper-large-v3 (~3 GB) per upstream mirrors into MoneyPrinterTurbo/models/whisper-large-v3/.
Workflow подработки
A repeatable solopreneur loop for faceless channels:
- Monday — Brainstorm 10 keywords in a spreadsheet (Notion or CSV).
- Tuesday — Batch-generate 5 vertical MP4s; pick top 3 by manual preview.
- Wednesday–Friday — Среда–пятница — выкладывайте по одному ролику в день в TikTok / YouTube Shorts / Instagram Reels; переиспользуйте хуки в каруселях или тредах.
- Weekend — Review analytics; feed winning topics back into next week's batch.
Pair with automation: Hermes subagent Worker A researches trending hooks, Worker B fills the CSV, you paste topics into MoneyPrinterTurbo—or call the REST API from a cron script on an always-on Mac.
Читать также
См. делегирование subagent Hermes (research→CSV→черновик) как дополнение к faceless-видео.
FAQ
MoneyPrinterTurbo действительно бесплатен?
MIT self-host бесплатен. Платите за LLM API, Azure TTS, Pexels — ориентир $5–20/мес.
Можно без лица?
Да: сток, синтез голоса, вшитые субтитры. Фокус на нише и хуке.
TikTok vs YouTube Shorts — какие настройки?
Оба формата предпочитают 9:16 при 1080x1920. TikTok в некоторых регионах допускает чуть более длинные ролики; YouTube Shorts должны быть короче 60 секунд—укоротите сегменты в Web UI или при загрузке.
Нужен GPU на Mac mini M4?
Нет при cloud LLM + edge. GPU полезен для локального whisper.
Сравнение с онлайн-генераторами?
Self-host — batch и API. Без терминала сравните https://reccloud.com.