项目介绍

Anil-matcha/vox-ai-motion-graphics-generator 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,目前获得 319 个 Star、56 次 Fork。

仓库全名
Anil-matcha/vox-ai-motion-graphics-generator
Star 数
319
Fork 数
56
未关闭 Issue
1

README 摘要

Vox AI Motion Graphics Generator Turn any topic into a finished Vox-style paper-collage explainer video 📺 Watch the Vox AI Motion Graphics Generator in action → 🚨 The problem with making explainer videos today: ❌ Fragmented workflow — separate tools for scripting, image gen, animation, voice-over, music, and captions ❌ No narrative structure — raw text-to-video models don't understand story arcs, hooks, or pacing…

完整内容见 GitHub 原始 README 或本页 。

常见问题

vox-ai-motion-graphics-generator 用什么语言开发?

主要使用 Python 编写,目前有 319 个 Star。

如何获取 vox-ai-motion-graphics-generator 的源码?

可以直接克隆仓库:git clone https://github.com/Anil-matcha/vox-ai-motion-graphics-generator.git,默认分支为 main;安装与运行步骤见仓库 README。

vox-ai-motion-graphics-generator 最近还在维护吗?

仓库最近一次更新为 9月2日,当前有 1 个未关闭 Issue;Star 数为 319,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

🎬 Turn any topic into a finished Vox-style paper-collage explainer / motion graphics video — script, collage keyframes, animation, voice-over, music & captions, all automated. An agent skill for Claude Code, Codex & other coding agents.

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

语言占比

Python

贡献者

README

Vox AI Motion Graphics Generator

Turn any topic into a finished Vox-style paper-collage explainer video


Vox AI Motion Graphics Generator video

📺 Watch the Vox AI Motion Graphics Generator in action →

🚨 The problem with making explainer videos today:

  • ❌ Fragmented workflow — separate tools for scripting, image gen, animation, voice-over, music, and captions
  • ❌ No narrative structure — raw text-to-video models don’t understand story arcs, hooks, or pacing
  • ❌ Inconsistent look — the collage aesthetic drifts from shot to shot
  • ❌ Hours of manual editing — stitching, ducking music, and burning captions by hand

💡 The solution:

🎬 Screenwriter, Collage Artist, Animator, and Editor — all in one automated pipeline.

Type one topic. The agent writes the story beats, renders each beat as a torn-paper collage poster, animates it, adds a narrator voice-over, music, and burned-in captions — then stitches everything into a finished final.mp4. You stay in control with just two approval gates: the story beat map and the visual theme.


Awesome Generative AI Apps

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🎥 Demo

https://github.com/user-attachments/assets/3db826d1-3271-4e8a-b4d0-a843013e67c7

One topic in, a fully narrated & captioned Vox-style collage video out. (download the demo)

“Make me a 15-second Vox-style collage video on the history of coffee.” → a styled final.mp4, fully narrated and captioned.

📽️ Generated Showcase Videos (Playable Demo Videos)

Below are end-to-end videos generated using the pipeline:

https://github.com/user-attachments/assets/d9b3e85b-2f4a-4c64-9692-747f085dfd28

▶ “History of Coffee (Ethiopia 850 AD)” · 5s (B-roll Film)



https://github.com/user-attachments/assets/6628b678-78ff-481a-bc39-d7098ec1f2fe

▶ “Cold Brew Product Ad” · 5s (C-roll Film)


Mode Film Title Topic / Subject Playable Video Link Keyframe Poster Motion Model Narration Voice
B-roll ☕ History of Coffee Ethiopia 850 AD Play Video (out/demo/final.mp4) out/demo/keyframes/kf_1a.jpg veo3.1-image-to-video MiniMax TTS (Q19bea09caa6IRAeW7)
C-roll 🍾 Cold Brew Product Ad Artisanal Cold Brew Bottle Play Video (out/demo-croll/final.mp4) out/demo-croll/keyframes/kf_1.jpg veo3.1-image-to-video MiniMax TTS (Q19bea09caa6IRAeW7)

🎬 Generated Assets Summary:

  • ☕ B-roll (History of Coffee):
    • 📹 Video: Play Video (out/demo/final.mp4) | 🖼️ Poster: out/demo/keyframes/kf_1a.jpg | 📹 Clip: out/demo/clips/clip_1a.mp4 | 🎙️ Voice: out/demo/audio/narr_1.mp3 | 🎵 BGM: out/demo/audio/bgm.mp3
  • 🍾 C-roll (Cold Brew Product Anchor):
    • 📹 Video: Play Video (out/demo-croll/final.mp4) | 📸 Anchor Photo: out/demo-croll/anchor_photo.jpg | 🖼️ Poster: out/demo-croll/keyframes/kf_1.jpg | 📹 Clip: out/demo-croll/clips/clip_1.mp4 | 🎙️ Voice: out/demo-croll/audio/narr_1.mp3 | 🎵 BGM: out/demo-croll/audio/bgm.mp3

📑 Table of Contents


✨ Key Features

  • 3 Input Modalities (A-roll, B-roll, C-roll):
    • B-roll (Topic → Film) — a single one-line prompt produces a complete, captioned, narrated video
    • A-roll (Talking-Head Video → Collage) — segment a presenter video with ASR (openai-whisper) and re-style into paper-collage while keeping real face, gestures, and lip-sync
    • C-roll (Single Photo / Product → Anchored Collage) — cut out a selfie or product shot as a photographic sticker and build animated collage posters around it
  • Authentic Vox collage aesthetic — torn paper, cutouts, tape, halftone dots, newspaper clippings, bold flat color, big headlines
  • Story-first — picks a narrative arc (timeline, problem-agitate-solution, how-it-works…) and writes a hook-led beat map before generating anything
  • Style bake-off — renders the same beat in 3–4 themes so you pick the look before committing
  • Living-poster motion — animates each collage keyframe into dynamic motion with Google Veo 3.1
  • Voice + music + captions — narration (TTS or voice cloning), background music ducked under the voice, and burned-in captions, all automated
  • Two human gates, everything else automated — approve the beat map, pick the theme; the pipeline handles the rest
  • Agent-native — a self-contained skill any coding agent (Claude Code, Codex, Antigravity, …) can read and run
  • One API key + ffmpeg — no cluster of accounts to wire up

🎨 The Look

The aesthetic is the modern editorial paper-collage popularized by Vox explainers and creators like Stav Zilber and rom1trs: hand-cut paper cutouts, torn edges, tape, halftone dots, newspaper clippings, bold flat colors per beat, and big cutout headlines — brought to life with dynamic motion, a narrator voice-over, music, and burned-in captions.

The collage look is born in the image step (each beat is a finished collage poster), and the motion is added after — so the DNA of the style is locked in before anything moves.


🔄 How It Works

A single topic, video, or photo flows through the pipeline driven by beats.json under out/<project>/:

topic / video / photo
  │
  ├─ 1. Beat Map        Pick a narrative arc → write beats.json          ◀── GATE 1: approve the beat map
  ├─ 2. Style Bake-Off  Render the same beat in 3–4 themes               ◀── GATE 2: pick the look
  ├─ 3. Keyframes       One collage poster per beat (nano-banana-2 / flux-dev)
  ├─ 4. Motion          Animate each poster into a clip (veo3.1-image-to-video)
  ├─ 5. Voice & Music   Narration (minimax-speech-2.6) + BGM (suno-create-music)
  ├─ 6. Assemble        Stitch clips, duck music, burn captions (ffmpeg)
  └─ final.mp4

3 Modalities:

  • B-roll (Topic → Film): Topic in → script → keyframe posters → Veo 3.1 motion → TTS narration + Suno music → final.mp4.
  • A-roll (Talking-Head → Collage): Presenter video in → Whisper ASR beat segmentation → video-edit restyling → audio remuxing → final.mp4.
  • C-roll (Photo / Product → Collage): Product photo in → photographic sticker cutout → anchored collage posters → Veo 3.1 motion → cloned voice → final.mp4.

🧩 Models

Pipeline Job Model Endpoint
Keyframes / Collage Posters nano-banana-2 / flux-dev
Motion / Animation veo3.1-image-to-video / veo3.1-fast-image-to-video / runway-image-to-video
Re-style Talking-Head (A-roll) gemini-omni-video-edit / veo3.1-image-to-video
Anchor Photo in Collage (C-roll) nano-banana-2 / flux-dev
Narration (TTS) minimax-speech-2.6-turbo
Voice Cloning (C-roll) minimax-voice-clone
Background Music suno-create-music
Audio Transcription (A-roll ASR) openai-whisper
Background Removal remove-background

🚀 Quick Start

1. Install local dependencies

  • ffmpeg + ffprobe (brew install ffmpeg on macOS / choco install ffmpeg on Windows)
  • Python 3 with Pillow (pip install pillow)

2. Configure environment keys

export MUAPI_API_KEY="your-api-key"     # image / video / voice / music models — key from muapi.ai
export OPENAI_API_KEY="your-openai-key"  # story planning & ASR

3. Run Pipeline via Agent or CLI:

Mode 1: B-roll (Topic → Film)

Ask your coding agent:

“Make me a 15-second Vox-style collage video introducing the history of coffee.”

Or run CLI scripts manually:

python scripts/style_bakeoff.py out/my-topic american-retro,swiss-modern,punk-zine
python scripts/keyframes.py out/my-topic
python scripts/clips.py out/my-topic
python scripts/audio.py out/my-topic
python scripts/assemble.py out/my-topic
Mode 2: A-roll (Talking-Head Video → Collage)
python scripts/asr_beats.py out/my-aroll source_presentation.mp4
python scripts/aroll_clips.py out/my-aroll
python scripts/aroll_assemble.py out/my-aroll
Mode 3: C-roll (Single Photo / Product → Anchored Collage)
python scripts/croll_keyframes.py out/my-croll
python scripts/clips.py out/my-croll
python scripts/audio.py out/my-croll
python scripts/assemble.py out/my-croll

🛠️ Project Structure

.
├── SKILL.md            # full agent workflow + approval gates
├── AGENTS.md           # entry point for coding agents (Claude Code, Codex, Antigravity)
├── README.zh.md        # Chinese documentation
├── scripts/            # one script per pipeline stage
│   ├── muapi_client.py    # MuAPI client wrapper
│   ├── provider.py        # task queue & status polling
│   ├── style_bakeoff.py   # multi-theme style candidates
│   ├── keyframes.py       # B-roll collage poster generator
│   ├── clips.py           # B-roll video animator (Veo 3.1)
│   ├── audio.py           # TTS narration & Suno music generator
│   ├── text_overlay.py    # subtitle captions & watermark generator
│   ├── assemble.py        # ffmpeg video assembly, ducking & composition
│   ├── asr_beats.py       # A-roll Whisper ASR beat cutter
│   ├── aroll_clips.py     # A-roll talking-head video restyler
│   ├── aroll_assemble.py  # A-roll clip & audio remuxer
│   └── croll_keyframes.py # C-roll photo sticker anchor generator
├── references/         # prompt guide, beat/story library, voices
└── examples/           # sample beats.json

This is an agent skill — Claude Code auto-loads it from SKILL.md; Codex and other agents follow SKILL.md via AGENTS.md. Just ask for a “vox video” or a “collage video.”



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