8 Bit Video Gen

Community

hugobowne

8-bit-video-gen

Turns a photo of a person into a short 8-bit pixel-art video via a two-step pipeline. Gemini stylizes the photo as an 8-bit still, then Replicate's seedance-2.0 animates that still into an MP4. Use when the user supplies a portrait photo and asks for an "8-bit video", "pixel art animation", or "retro video game version" of themselves. Trigger even if they only mention one of the two steps.

Overview

Publisher	hugobowne
Repository	`show-us-your-agent-skills`
Skill name	`8-bit-video-gen`
Stars	70
Forks	10
Bundled files	3
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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by hugobowne on GitHub. Read the source before you install it.

Installation

Install the 8 Bit Video Gen 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/hugobowne/show-us-your-agent-skills/tree/main/skills/8-bit-video-gen
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/hugobowne/show-us-your-agent-skills.git /tmp/show-us-your-agent-skills
mkdir -p .claude/skills
cp -r /tmp/show-us-your-agent-skills/skills/8-bit-video-gen .claude/skills/8-bit-video-gen

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

Use it in TypingMind

Enable 8 Bit Video Gen 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 8 Bit Video Gen 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 8 Bit Video Gen 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.

8-bit video pipeline

Two-step pipeline that turns a portrait photo into a short pixel-art video clip:

Stylize. Gemini converts the photo into an 8-bit still PNG.
Animate. Replicate's bytedance/seedance-2.0 uses that still as the first frame to generate an MP4.

Both scripts live in scripts/ and use PEP 723 inline script metadata, so uv run resolves their dependencies automatically.

If the user only wants the still, run step 1 and stop. If they already have an 8-bit image, skip to step 2.

Setup

Before running either script:

Verify uv is installed: uv --version. If missing, ask the user to install it (https://docs.astral.sh/uv/getting-started/installation/). The scripts declare their Python dependencies inline (PEP 723 metadata), so uv run handles the rest.
Verify the API keys are available. Both scripts load from a .env in the working directory, falling back to the shell environment. Confirm both are set before running:
- GEMINI_API_KEY for step 1 (Gemini stylize)
- REPLICATE_API_TOKEN for step 2 (Replicate animate)
If either is missing, ask the user to add it to .env or export it. Keys come from:
- https://aistudio.google.com/apikey
- https://replicate.com/account/api-tokens

Before each run: ask about customization

Ask the user whether they want to customize the still prompt, video prompt, duration, or seed. Defaults live as DEFAULT_PROMPT in scripts/make_8bit.py and DEFAULT_PROMPT / DEFAULT_DURATION / DEFAULT_SEED in scripts/make_video.py; pass --prompt, --duration, or --seed to override for one run, or edit the constants to change the shipped default.

Step 1: Stylize the photo

bash
uv run <skill-dir>/scripts/make_8bit.py <input_photo> [output_png] [--prompt "..."]

Default output: <input_stem>_8bit.png next to the input.
Stylize prompt is DEFAULT_PROMPT at the top of scripts/make_8bit.py. Pass --prompt to override it for one run.
Default model ID: gemini-3.1-flash-image.
Current fallback IDs to try are gemini-3.1-flash-lite-image and gemini-2.5-flash-image. Do not use the old *-preview fallback names unless ListModels shows they are supported for the current API key.
The script uses Gemini's Interactions API for image editing, matching the current Google AI docs for Nano Banana image generation.
The model can sometimes add facial features that aren't in the source (e.g. a beard on a clean-shaven subject). Flag the output when this happens; do not silently rewrite the prompt to compensate.

Step 2: Animate the still

bash
uv run <skill-dir>/scripts/make_video.py <input_image> [output_mp4] \
    [--prompt "..."] [--duration 15] [--seed 42]

<input_image> is normally the 8-bit PNG from step 1, but any image works (used as the first frame).
This call costs Replicate credits and can take 5 to 10 minutes.
Output is an MP4 plus a replicate.delivery URL printed to stdout. The URL expires; the local file is the durable artifact.
Run only one Replicate prediction at a time. Every retry creates another chargeable prediction.
Never retry automatically after a timeout, disconnection, or ambiguous error. Use the printed prediction ID to check the existing job first; retry only with explicit user approval.
If generation succeeded but the download failed, recover the output from that prediction instead of generating again.

End-of-run

Tell the user the local MP4 path and the temporary URL. To iterate on the scene, rerun step 2 with a new --prompt; no need to redo step 1.

Design notes

Defaults live in the scripts; CLI flags override per run. Editing the constants changes the shipped default. Passing a flag overrides for one run without mutating the file.
Minimal prompts for the still. Long, hedged prompts to image models tend to over-direct.

After each run: iterate on the skill

After every run, ask the user whether anything about the workflow should be folded back into the skill: new defaults, prompt changes, extra steps, things that surprised them, anything they corrected by hand. If yes, update SKILL.md and/or the scripts so the next run starts from the improved version.

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 8 Bit Video Gen AI skill do?

Why use 8 Bit Video Gen on TypingMind?

Because you install it once and use it with any model. 8 Bit Video Gen 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 8 Bit Video Gen in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hugobowne/show-us-your-agent-skills/tree/main/skills/8-bit-video-gen. 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 8 Bit Video Gen?

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 8 Bit Video Gen?

As many as you like. As long as a model supports skills, you can use 8 Bit Video Gen with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 8 Bit Video Gen AI skill free?

Yes. It is published on GitHub by hugobowne 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

8-bit video pipeline

Setup

Before each run: ask about customization

Step 1: Stylize the photo

Step 2: Animate the still

End-of-run

Design notes

After each run: iterate on the skill

Bundled files

Frequently asked questions

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