AI video creation workflow and local script practice
Using the repository's built-in Python scripts and assets, you can quickly generate and export a 36-second robot harbor short preview or full video without needing to prepare images or music. You can also have an AI coding assistant use the six-tier collaboration method and 10 local asset libraries to customize and create your own original video story.
Added 2026-10-31 · originally published 2026-10-30
Steps
- 1Set up a Python 3.9+ environment, then clone or open the ai-video-marker repository in your terminal.
- 2Create and activate a virtual environment by running `python3 -m venv .venv` and `source .venv/bin/activate`.
- 3Install dependencies and check the environment by running `python -m pip install -r requirements.txt` and `python tools/doctor.py`.
- 4Run the beginner default video generation script with `python tools/make_video.py` to export a 36-second robot harbor short.
- 5Run partial recalculations and checks by specifying a seed or parameters, such as `python tools/make_video.py --seed 42 --start 7 --end 9 --out outputs/my-first-pilot`.
- 6Use an AI coding assistant to read the repository's AGENTS.md and workflow documentation, enter your custom topic requirements, and have it help design storyboards, write or adapt rendering logic, and initialize a new project.
Ideas for Chinese platforms
This workflow can be adapted for the automated batch production of AI comic shorts, classical poetry animations, or pixel-style short videos for platforms like Xiaohongshu or Douyin. By using AI to organize storyboards and batch-render local scripts, you can rapidly generate video assets for multi-platform operations.
Open the entire repository using an AI coding assistant that can read local files and execute commands, and enter via [AGENTS.md]. Using the repository's built-in assets, create an original 30-second short film about [enter your video topic, e.g., an abandoned music box being restarted]. First select the music and design the object trigger mechanism, give me the storyboards and representative segments, and then expand it into the full film after confirmation, saving the new project to [outputs/my-video]. Handle image generation, voiceover, and editing according to your actual assistant and local environment.
Related use cases
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