Image To Video

Community

notque

image-to-video

FFmpeg-based video creation from image and audio.

Overview

Publisher	notque
Repository	`vexjoy-agent`
Skill name	`image-to-video`
Stars	443
Forks	50
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by notque on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/notque/vexjoy-agent/tree/main/skills/content/image-to-video
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.

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/notque/vexjoy-agent.git /tmp/vexjoy-agent
mkdir -p .claude/skills
cp -r /tmp/vexjoy-agent/skills/content/image-to-video .claude/skills/image-to-video

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Image To Video 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 Image To Video 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 Image To Video 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.

Image to Video Skill

Combine a static image with an audio file to produce an MP4 via FFmpeg. Supports resolution presets, audio visualization overlays, and batch processing. For image generation, use image-gen.

Deep References

Signal	Load	Why
FFmpeg filter graphs for visualization modes	`references/ffmpeg-filters.md`	Scale/pad, showwaves, showspectrum, overlay filters

Phase 1: VALIDATE

Check FFmpeg: ffmpeg -version. If missing, stop with install instructions.
Verify both input files exist with absolute paths and non-zero size. Supported: PNG/JPG/JPEG/GIF/WEBP/BMP (image), MP3/WAV/M4A/OGG/FLAC (audio).
Determine parameters from the user's request -- do not default to static when the user requested a visualization.

Preset	Dimensions	Platform
`1080p`	1920x1080	YouTube HD (default)
`720p`	1280x720	Standard HD
`square`	1080x1080	Instagram, social
`vertical`	1080x1920	Stories, Reels, TikTok

Visualization modes (off unless requested): waveform, spectrum, cqt, bars.

Gate: FFmpeg installed, both files exist, parameters resolved.

Phase 2: PREPARE

Use the user's output path or derive from audio filename (/same/dir/filename.mp4). Verify directory is writable.

Phase 3: ENCODE

Defaults: libx264 preset medium, CRF 23, yuv420p, 192k AAC.

bash
python3 $HOME/vexjoy-agent/skills/content/image-to-video/scripts/image_to_video.py \
  --image /path/to/image.png --audio /path/to/audio.mp3 \
  --output /path/to/output.mp4 --resolution 1080p --visualization static

Batch mode (matched pairs in workspace/input/):

bash
python3 $HOME/vexjoy-agent/skills/content/image-to-video/scripts/image_to_video.py \
  --process-workspace --visualization waveform

Gate: Script exits 0.

Phase 4: VERIFY

FFmpeg can exit 0 but produce a corrupt file. Always probe:

bash
ffprobe -v error -show_entries format=duration,size -show_entries stream=codec_name,width,height \
  -of default=noprint_wrappers=1 /path/to/output.mp4

Confirm video duration matches audio (within 1s). Report: file path, size, duration, resolution, visualization mode.

Error Handling

Error	Cause	Solution
FFmpeg not found	Not installed	`apt install ffmpeg` or `brew install ffmpeg`
Image/audio not found	Wrong or relative path	Use absolute paths; check with `ls -la`
FFmpeg filter errors	Minimal build lacks showwaves/showcqt	Install full FFmpeg; fall back to `--visualization static`
Cannot determine audio duration	Corrupted audio file	Test with `ffprobe`; convert: `ffmpeg -i input -acodec pcm_s16le output.wav`

Bundled files

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

references/ffmpeg-filters.md5 KB
scripts/image_to_video.py17 KB

Frequently asked questions

What does the Image To Video AI skill do?

FFmpeg-based video creation from image and audio.

Why use Image To Video on TypingMind?

Because you install it once and use it with any model. Image To Video 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 Image To Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/notque/vexjoy-agent/tree/main/skills/content/image-to-video. 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 Image To Video?

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 Image To Video?

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

Is the Image To Video AI skill free?

Yes. It is published on GitHub by notque under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Image to Video Skill

Deep References

Phase 1: VALIDATE

Phase 2: PREPARE

Phase 3: ENCODE

Phase 4: VERIFY

Error Handling

Bundled files

Frequently asked questions

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