Acestep Simplemv logo

Acestep Simplemv

Organization
ace-step
acestep-simplemv

Render music videos from audio files and lyrics using Remotion. Accepts audio + LRC/JSON lyrics + title to produce MP4 videos with waveform visualization and synced lyrics display. Use when users mention MV generation, music video rendering, creating video from audio/lyrics, or visualizing songs.

Overview

Publisherace-step
Repositoryace-step-skills
Skill nameacestep-simplemv
Stars
99
Forks
20
Bundled files
12
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 12 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ace-step on GitHub. Read the source before you install it.

Installation

Install the Acestep Simplemv AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ace-step/ace-step-skills/tree/main/skills/acestep-simplemv
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ace-step/ace-step-skills.git /tmp/ace-step-skills
mkdir -p .claude/skills
cp -r /tmp/ace-step-skills/skills/acestep-simplemv .claude/skills/acestep-simplemv
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Acestep Simplemv in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Acestep Simplemv on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Acestep Simplemv is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MV Render

Render music videos with waveform visualization and synced lyrics from audio + lyrics input.

Prerequisites

  • Remotion project at scripts/ directory within this skill
  • Node.js + npm dependencies installed
  • ffprobe available (for audio duration detection)

First-Time Setup

Before first use, check and install dependencies:

bash
# 1. Check Node.js
node --version

# 2. Install npm dependencies
cd {project_root}/{.claude or .codex}/skills/acestep-simplemv/scripts && npm install

# 3. Check ffprobe
ffprobe -version

If ffprobe is not available, install ffmpeg (which includes ffprobe):

  • Windows: choco install ffmpeg or download from https://ffmpeg.org/download.html and add to PATH
  • macOS: brew install ffmpeg
  • Linux: sudo apt-get install ffmpeg (Debian/Ubuntu) or sudo dnf install ffmpeg (Fedora)

Quick Start

bash
cd {project_root}/{.claude or .codex}/skills/acestep-simplemv/
./scripts/render-mv.sh --audio /path/to/song.mp3 --lyrics /path/to/song.lrc --title "Song Title"

Output: MP4 file at out/<audio_basename>.mp4 (or custom --output path).

Script Usage

bash
./scripts/render-mv.sh --audio <file> --lyrics <lrc_file> --title "Title" [options]

Options:
  --audio        Audio file path (absolute paths supported)
  --lyrics       LRC format lyrics file (timestamped)
  --lyrics-json  JSON lyrics file [{start, end, text}] (alternative to --lyrics)
  --title        Video title (default: "Music Video")
  --subtitle     Subtitle text
  --credit       Bottom credit text
  --offset       Lyric timing offset in seconds (default: -0.5)
  --output       Output file path (default: out/<audio_basename>.mp4)
  --codec        h264|h265|vp8|vp9 (default: h264)
  --background   Background image file path (if omitted, uses animated gradient)
  --browser      Custom browser executable path (Chrome/Edge/Chromium)
  --max-size     Max output file size in MB (e.g. 24). Auto-compresses if exceeded.
                 Use for IM platforms (WhatsApp≤16MB, Discord≤25MB, Telegram≤50MB)

Environment variables:
  BROWSER_EXECUTABLE  Path to browser executable (overrides auto-detection)

Browser Detection

Remotion requires a Chromium-based browser for rendering. The script auto-detects browsers in this priority order:

  1. BROWSER_EXECUTABLE environment variable
  2. --browser CLI argument
  3. Remotion cache (chrome-headless-shell, downloaded by Remotion)
  4. System Chrome (auto-uses --chrome-mode=chrome-for-testing)
  5. System Edge (pre-installed on Windows 10/11, auto-uses --chrome-mode=chrome-for-testing)
  6. System Chromium (auto-uses --chrome-mode=chrome-for-testing)

Important: New versions of Chrome/Edge removed the old headless mode. When using regular Chrome/Edge/Chromium, the script automatically sets --chrome-mode=chrome-for-testing (which uses --headless=new). When using chrome-headless-shell, it uses the default headless-shell mode (which uses --headless=old). This is handled transparently.

If no browser is found, Remotion will attempt to download chrome-headless-shell from Google servers. This will fail if Google servers are inaccessible from your network.

Workarounds for restricted networks

Since Edge is pre-installed on Windows 10/11, it should be auto-detected without any manual configuration. The script automatically detects Chrome/Edge and uses the correct headless mode. If auto-detection fails:

bash
# Option 1: Set environment variable
export BROWSER_EXECUTABLE="/path/to/msedge.exe"

# Option 2: Pass as CLI argument
./scripts/render-mv.sh --audio song.mp3 --lyrics song.lrc --title "Song" --browser "/path/to/msedge.exe"

# Option 3: Enable proxy and let Remotion download chrome-headless-shell

Examples

bash
# Basic render
./scripts/render-mv.sh --audio /tmp/abc123_1.mp3 --lyrics /tmp/abc123.lrc --title "夜桜"

# Custom output path
./scripts/render-mv.sh --audio song.mp3 --lyrics song.lrc --title "My Song" --output /tmp/my_mv.mp4

# With subtitle and credit
./scripts/render-mv.sh --audio song.mp3 --lyrics song.lrc --title "Song" --subtitle "Artist Name" --credit "Generated by ACE-Step"

# With background image
./scripts/render-mv.sh --audio song.mp3 --lyrics song.lrc --title "Song" --background /path/to/cover.jpg

# Compress for Discord upload (max 25MB)
./scripts/render-mv.sh --audio song.mp3 --lyrics song.lrc --title "Song" --max-size 24

# Compress for WhatsApp (max 16MB)
./scripts/render-mv.sh --audio song.mp3 --lyrics song.lrc --title "Song" --max-size 15

IM Platform Upload Limits

When sending MV to chat platforms, use --max-size to auto-compress:

PlatformLimitRecommended --max-size
WhatsApp16MB15
Discord (free)25MB24
Telegram50MB48
Slack (free)1GB-

The compression uses ffmpeg two-pass encoding to achieve the best quality within the size constraint.

Container / Docker Font Support

When running in containers (e.g. OpenClaw), CJK fonts may not be pre-installed, causing lyrics to render as □ boxes. The script automatically:

  1. Detects if CJK fonts are available (via fc-list)
  2. Attempts to install fonts-noto-cjk (Debian/Ubuntu), font-noto-cjk (Alpine), or google-noto-sans-cjk-fonts (Fedora/RHEL)
  3. Falls back with a warning and manual install instructions if auto-install fails

If auto-install doesn't work, manually install fonts before rendering:

bash
# Debian/Ubuntu
apt-get install -y fonts-noto-cjk

# Alpine
apk add font-noto-cjk

# Fedora/RHEL
dnf install -y google-noto-sans-cjk-fonts

File Naming

IMPORTANT: Use the audio file's job ID as the output filename to avoid overwriting. Do NOT use custom names like --output my_song.mp4. Let the default naming handle it (derives from audio filename).

Default output uses the audio filename as base:

  • Audio: acestep_output/{job_id}_1.mp3
  • Lyrics: acestep_output/{job_id}_1.lrc
  • Video: Pass --output acestep_output/{job_id}.mp4 (use the job ID from the audio file)

Example: if audio is chatcmpl-abc123_1.mp3, pass --output acestep_output/chatcmpl-abc123.mp4

Title Guidelines

  • Keep --title short and single-line (max ~50 chars, auto-truncated)
  • Use --subtitle for additional info
  • Do NOT put newlines in --title

Good: --title "Open Source" --subtitle "ACE-Step v1.5" Bad: --title "Open Source - ACE-Step v1.5\nCelebrating Music AI"

Notes

  • Audio files with absolute paths are auto-copied to public/ by render.mjs
  • Duration is auto-detected via ffprobe
  • Typical render time: ~1-2 minutes for a 90s song
  • Output resolution: 1920x1080, 30fps

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Acestep Simplemv AI skill do?

Render music videos from audio files and lyrics using Remotion. Accepts audio + LRC/JSON lyrics + title to produce MP4 videos with waveform visualization and synced lyrics display. Use when users mention MV generation, music video rendering, creating video from audio/lyrics, or visualizing songs.

Why use Acestep Simplemv on TypingMind?

Because you install it once and use it with any model. Acestep Simplemv is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Acestep Simplemv in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace-step/ace-step-skills/tree/main/skills/acestep-simplemv. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Acestep Simplemv?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Acestep Simplemv?

As many as you like. As long as a model supports skills, you can use Acestep Simplemv with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Acestep Simplemv AI skill free?

It is published on GitHub by ace-step. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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