--- title: "bighead-collage" kind: "Kit" category: "Marketing & SEO" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2e223122-c3fa-4ad4-8555-06b51ad19f2b" updated: "2026-11-10" health: "Active" --- # bighead-collage > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns a topic and a script into a big-head collage video with voice-over, generated images, animation and sound effects, for creators of story accounts. bighead-collage is an open-source project on GitHub in the Marketing \& SEO category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-10. Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip. Made by HeyChengC ## About ### What it is bighead-collage is one skill for agents such as Claude Code and Codex. Give it a topic and a script and it makes a vertical collage video, with a cut-out photo of a real person, head enlarged, standing on a small stage. You do not edit, cut out images or use After Effects. ### Who it suits It suits creators who run story accounts about people, startups or company histories, and who want a steady series of short vertical videos without editing skills. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Social media | Story-account creators | Turn a person's life story into a 15 to 60 second vertical video | A short video on the life of Charlie Munger | | Business media | Business and startup storytellers | Tell founder and company history stories as a series | A video on how Sears did online shopping a hundred years before Amazon | | Video production | Solo creators without editing skills | Hand the cutouts, animation and sound to the skill | A 30-second draft ready for your notes | | Content series | Creators who stick to one theme | Reuse one style across many videos instead of starting from nothing | A numbered gallery of business figures | Anyone who wants other video styles, or hands-on control of every edit, can skip it. ### Where to use it It runs inside an agent tool on your own computer, and the videos are made for vertical platforms. - Claude Code: clone it into the \~/.claude/skills/ folder - Codex and other agent tools: supported too - Your own computer: Python, Node.js and ffmpeg do the work, and no NVIDIA GPU is required - Vertical video: the output is 9:16, with platform safe zones built in | Use case | Who | What they get back | | --- | --- | --- | | Biography short | Story-account creators | A 15 to 60 second vertical video with voice-over, animation and sound effects | | Series in one style | Creators who pick one theme | Videos that share a look, so no fresh visual idea is needed each time | | Video from your own script | Writers | A draft built from the script you already wrote | | Video from your own recording | Narrators | Your mp3 or wav, cut into sentences and aligned word by word | ### How to set it up You need a few tools installed first, plus an agent and a way to make images. - Python 3.10+, Node.js 18+ and ffmpeg - An agent such as Claude Code or Codex - An image source: the codex CLI, an OpenAI-style image API with a key, your own command, or manual prompts - A download of about 3GB for the default speech model, on the first run 1. Clone the repository into your agent's skills folder. For Claude Code that is \~/.claude/skills/. 2. Open the project folder in a terminal. 3. Install the Python and Node dependencies, plus the Chromium browser that Playwright uses. 4. Run the self-check, which tells you what is missing and how to install it. ```bash cd ~/.claude/skills/bighead-collage pip install -r requirements.txt npm install npx playwright install chromium python scripts/doctor.py ``` Without an NVIDIA GPU, speech recognition runs on the CPU and is slower. A smaller model than the default large-v3 helps: ```bash WHISPER_MODEL=small ``` ### How to use it Tell your agent in plain words what video you want, or hand it a finished script. The first time, it asks how the voice is made and how images are generated, then remembers your answers. Voice options: - edge-tts: the free default, with no sign-up and voices you can change - Your own recording: give it an mp3 or wav and it cuts sentences and aligns each word - Your own TTS: Doubao, ElevenLabs, MiniMax or a local model, through one command you provide Image options: - codex: the local codex CLI's image generation, using your ChatGPT subscription quota - OpenAI image API: the official one or a compatible service, with a key - Your own command: any command that takes a prompt and returns an image - Manual: it writes a prompt list, you generate the images and place them back by file name You can change these later by telling the agent or by running the config script: ```bash python scripts/config.py python scripts/config.py set image.provider codex python scripts/config.py set voice.edge_voice zh-CN-YunyangNeural ``` | Tool | What it does | | --- | --- | | edge-tts | Makes the free default voice-over with no sign-up | | codex | Generates images through the local codex CLI on your ChatGPT subscription | | scripts/doctor.py | Checks the install and says how to fix what is missing | | scripts/config.py | Shows or changes your saved voice and image settings | ### Example You ask your agent for a vertical big-head collage video of about 40 seconds on the life of Munger. It drafts the script for you to confirm, then returns a sample video for your notes. ### For newcomers and experts If you have never made a video like this, you only need a topic. Install the skill, run the self-check, then ask your agent for a video on a person you find interesting. Look at the draft and tell it what to change. Under the hood, each video passes through six stages. Voice-over is aligned word by word, and a director sheet plans every shot. Generated assets get automatic cutouts, and a web engine renders them frame by frame. A sound pass mixes to -14 LUFS, then ten checks run before delivery. The trade-off is time, since image generation takes most of it. You give a topic or script and confirm the script → Voice-over is made and aligned word by word → Images and cutouts are generated from the lead's photo → A web engine renders the picture frame by frame → Sound effects and music are mixed, then ten checks run ### Good to know - Time: about 25 to 35 minutes for a 30-second draft, mostly spent generating images - Quota: on Claude Pro, one video used about 20% to 30% of the five-hour limit, and it varies with the content and the edits - Speech model: the default is large-v3, and it runs on the CPU without an NVIDIA GPU - Real people: the faces are AI-generated from photos, so label published videos as AI-generated and follow platform rules - Windows: if Chinese text prints garbled, set PYTHONIOENCODING=utf-8, because the files are fine - Style credit: the style was learned from two short videos by earn.edits, and their frames are used only to explain it - License: MIT for code and docs, while fonts and models keep their own licenses ## README ````markdown # bighead-collage Turns a topic and a script into a big-head collage video with voice-over, generated images, animation and sound effects, for creators of story accounts. Made by HeyChengC on GitHub. These notes are Mindket's, written from its README; the project's own files and license are in its repository. ## About What it is: bighead-collage is one skill for agents such as Claude Code and Codex. Give it a topic and a script and it makes a vertical collage video, with a cut-out photo of a real person, head enlarged, standing on a small stage. You do not edit, cut out images or use After Effects. Who it suits: It suits creators who run story accounts about people, startups or company histories, and who want a steady series of short vertical videos without editing skills. ```table Industry | Who uses it | How they use it | Example Social media | Story-account creators | Turn a person's life story into a 15 to 60 second vertical video | A short video on the life of Charlie Munger Business media | Business and startup storytellers | Tell founder and company history stories as a series | A video on how Sears did online shopping a hundred years before Amazon Video production | Solo creators without editing skills | Hand the cutouts, animation and sound to the skill | A 30-second draft ready for your notes Content series | Creators who stick to one theme | Reuse one style across many videos instead of starting from nothing | A numbered gallery of business figures ``` Anyone who wants other video styles, or hands-on control of every edit, can skip it. Where to use it: It runs inside an agent tool on your own computer, and the videos are made for vertical platforms. - Claude Code: clone it into the ~/.claude/skills/ folder - Codex and other agent tools: supported too - Your own computer: Python, Node.js and ffmpeg do the work, and no NVIDIA GPU is required - Vertical video: the output is 9:16, with platform safe zones built in ```table Use case | Who | What they get back Biography short | Story-account creators | A 15 to 60 second vertical video with voice-over, animation and sound effects Series in one style | Creators who pick one theme | Videos that share a look, so no fresh visual idea is needed each time Video from your own script | Writers | A draft built from the script you already wrote Video from your own recording | Narrators | Your mp3 or wav, cut into sentences and aligned word by word ``` How to set it up: You need a few tools installed first, plus an agent and a way to make images. - Python 3.10+, Node.js 18+ and ffmpeg - An agent such as Claude Code or Codex - An image source: the codex CLI, an OpenAI-style image API with a key, your own command, or manual prompts - A download of about 3GB for the default speech model, on the first run 1. Clone the repository into your agent's skills folder. For Claude Code that is ~/.claude/skills/. 2. Open the project folder in a terminal. 3. Install the Python and Node dependencies, plus the Chromium browser that Playwright uses. 4. Run the self-check, which tells you what is missing and how to install it. ```bash cd ~/.claude/skills/bighead-collage pip install -r requirements.txt npm install npx playwright install chromium python scripts/doctor.py ``` Without an NVIDIA GPU, speech recognition runs on the CPU and is slower. A smaller model than the default large-v3 helps: ```bash WHISPER_MODEL=small ``` How to use it: Tell your agent in plain words what video you want, or hand it a finished script. The first time, it asks how the voice is made and how images are generated, then remembers your answers. Voice options: - edge-tts: the free default, with no sign-up and voices you can change - Your own recording: give it an mp3 or wav and it cuts sentences and aligns each word - Your own TTS: Doubao, ElevenLabs, MiniMax or a local model, through one command you provide Image options: - codex: the local codex CLI's image generation, using your ChatGPT subscription quota - OpenAI image API: the official one or a compatible service, with a key - Your own command: any command that takes a prompt and returns an image - Manual: it writes a prompt list, you generate the images and place them back by file name You can change these later by telling the agent or by running the config script: ```bash python scripts/config.py python scripts/config.py set image.provider codex python scripts/config.py set voice.edge_voice zh-CN-YunyangNeural ``` ```table Tool | What it does edge-tts | Makes the free default voice-over with no sign-up codex | Generates images through the local codex CLI on your ChatGPT subscription scripts/doctor.py | Checks the install and says how to fix what is missing scripts/config.py | Shows or changes your saved voice and image settings ``` Example: You ask your agent for a vertical big-head collage video of about 40 seconds on the life of Munger. It drafts the script for you to confirm, then returns a sample video for your notes. For newcomers and experts: If you have never made a video like this, you only need a topic. Install the skill, run the self-check, then ask your agent for a video on a person you find interesting. Look at the draft and tell it what to change. Under the hood, each video passes through six stages. Voice-over is aligned word by word, and a director sheet plans every shot. Generated assets get automatic cutouts, and a web engine renders them frame by frame. A sound pass mixes to -14 LUFS, then ten checks run before delivery. The trade-off is time, since image generation takes most of it. ```flow You give a topic or script and confirm the script Voice-over is made and aligned word by word Images and cutouts are generated from the lead's photo A web engine renders the picture frame by frame Sound effects and music are mixed, then ten checks run ``` Good to know: - Time: about 25 to 35 minutes for a 30-second draft, mostly spent generating images - Quota: on Claude Pro, one video used about 20% to 30% of the five-hour limit, and it varies with the content and the edits - Speech model: the default is large-v3, and it runs on the CPU without an NVIDIA GPU - Real people: the faces are AI-generated from photos, so label published videos as AI-generated and follow platform rules - Windows: if Chinese text prints garbled, set PYTHONIOENCODING=utf-8, because the files are fine - Style credit: the style was learned from two short videos by earn.edits, and their frames are used only to explain it - License: MIT for code and docs, while fonts and models keep their own licenses ## On GitHub, 7 November 2026 - Stars: 64 - Forks: 11 - Open issues and pull requests: 0 - Language: Python - License: see the repository - Topics: agent-skills, ai-video, claude-code, claude-skills, codex, collage, douyin, short-video, skill, text-to-video, video-generation ## Links - Code: https://github.com/HeyChengC/bighead-collage - Releases: https://github.com/HeyChengC/bighead-collage/releases - Issues: https://github.com/HeyChengC/bighead-collage/issues - Star history: https://www.star-history.com/#HeyChengC/bighead-collage&Date ## Get the code ``` git clone https://github.com/HeyChengC/bighead-collage.git ``` Then follow the setup in its README. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 7 KB, downloaded as a zip. ```text README.md 7 KB ``` ## Source [HeyChengC/bighead-collage on GitHub](https://github.com/HeyChengC/bighead-collage) ## Compare with similar Listed GitHub projects in the same category that share the most topics with this one. | Product | Stars | Activity | Language | License | Last change | | --- | --- | --- | --- | --- | --- | | bighead-collage (this page) | 64 | Active | Python | — | 2026-10-28 | | [rea-video](https://mindket.com/p/34a8dae8-9846-476e-89f7-19bbecbcb9a2) | 2,477 | Active | Python | Apache-2.0 | 2026-11-06 | | [Huashu Design](https://mindket.com/p/9e195386-ee58-4320-9a50-612213a7ce84) | 29,432 | Active | HTML | MIT | 2026-11-10 | | [YouTube AI Motion Graphics](https://mindket.com/p/e4980592-7875-4295-929b-7002c45709d0) | 159 | Active | HTML | MIT | 2026-10-27 | | [claude-animation-skills](https://mindket.com/p/d71c7770-ef77-4608-aa0b-738455e6b1a8) | 417 | Active | JavaScript | — | 2026-11-01 | | [Talking Explainer](https://mindket.com/p/a222c431-e280-41cc-aa50-9f2cb6efaca6) | 67 | Active | Python | — | 2026-11-02 | Numbers as Mindket last read them, from 2026-11-06 to 2026-11-14. Activity is read from each project’s last change on GitHub: Active within 30 days, Quiet within 180, Stale after that. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Health on GitHub: Active - Last change: 2026-10-28 - Checked on GitHub: 2026-11-06 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open HeyChengC/bighead-collage on GitHub](https://github.com/HeyChengC/bighead-collage) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2e223122-c3fa-4ad4-8555-06b51ad19f2b) - [Its page on Mindket](https://mindket.com/p/2e223122-c3fa-4ad4-8555-06b51ad19f2b)