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Antigravity Gemini Image

CommunityPopular
uluckyXH
antigravity-gemini-image

Generate or edit images using the Antigravity-hosted Gemini image model via the local gateway. Use when the user asks to create an image, generate an avatar, or edit/transform an existing image with text instructions. Supports text-to-image and image-to-image editing.

Overview

PublisheruluckyXH
RepositoryOpenMOSS
Skill nameantigravity-gemini-image
Stars
1.3K
Forks
146
Bundled files
3
LicenseMIT
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.

  • 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 uluckyXH on GitHub. Read the source before you install it.

Installation

Install the Antigravity Gemini Image 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.
  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/uluckyXH/OpenMOSS.git /tmp/OpenMOSS
mkdir -p .claude/skills
cp -r /tmp/OpenMOSS/skills/antigravity-gemini-image .claude/skills/antigravity-gemini-image
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Antigravity Gemini Image 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 Antigravity Gemini Image 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 Antigravity Gemini Image 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.

Antigravity Gemini Image

Overview

Use the Gemini REST endpoint (via the local gateway base URL) to create or edit images. This skill wraps the correct request format for the gemini-3.1-flash-image model, which does not work reliably with /v1/responses + image_generation.

Quick start

Text → Image

bash
mkdir -p ~/.openclaw/workspace/tmp
/usr/bin/python3 {baseDir}/scripts/generate_gemini_image.py \
  --prompt "A cute yellow chick mascot, vector style" \
  --out ~/.openclaw/workspace/tmp/chick.jpg

Image → Image (edit)

bash
mkdir -p ~/.openclaw/workspace/tmp
/usr/bin/python3 {baseDir}/scripts/generate_gemini_image.py \
  --prompt "Add a tiny red scarf, keep the style" \
  --image /path/to/input.jpg \
  --out ~/.openclaw/workspace/tmp/chick_edit.jpg

Optional (explicit .env path):

bash
/usr/bin/python3 {baseDir}/scripts/generate_gemini_image.py \
  --env-file ~/.openclaw/workspace/.env \
  --prompt "A cute yellow chick mascot, vector style" \
  --out ~/.openclaw/workspace/tmp/chick.jpg

macOS Keychain (optional): service openclaw-local-160, accounts base-url and api-key.

Workflow (always follow)

  1. Confirm the prompt (and optional input image) with the user.
  2. Run the script in scripts/generate_gemini_image.py.
  3. Return the generated image file to the user.

Parameters

  • --prompt (required): text instruction.
  • --image (optional): input image for edits.
  • --out (required): output path (jpg/png).
  • --env-file (optional): load a specific .env file.
  • --base-url (optional): defaults to LOCAL_160_BASE_URL.
  • --api-key (optional): defaults to LOCAL_160_API_KEY.
  • --model (optional): defaults to gemini-3.1-flash-image.
  • --temperature (optional): default 0.3.
  • --size (optional): default 4K (set via GEMINI_IMAGE_SIZE).
  • --ratio (optional): default 16:9 (set via GEMINI_IMAGE_RATIO).
  • --timeout (optional): HTTP 超时(秒),默认 1200(也可用 GEMINI_IMAGE_TIMEOUTLOCAL_160_TIMEOUT)。

Notes

  • The gateway endpoint is: POST {BASE_URL}/v1beta/models/gemini-3.1-flash-image:generateContent
  • Auth header uses x-goog-api-key.
  • Image generation can be slow; 10–20 minutes is possible. Keep timeouts high (default 1200s or override via --timeout / env).
  • Output image is returned as base64 under: candidates[0].content.parts[*].inlineData.data.
  • 4K 输出必须写在 generationConfig.imageConfig不要直接写 image_size):
    json
    {"imageConfig": {"imageSize": "4K", "aspectRatio": "16:9"}}

References

  • See references/API.md for request/response shape.

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 Antigravity Gemini Image AI skill do?

Generate or edit images using the Antigravity-hosted Gemini image model via the local gateway. Use when the user asks to create an image, generate an avatar, or edit/transform an existing image with text instructions. Supports text-to-image and image-to-image editing.

Why use Antigravity Gemini Image on TypingMind?

Because you install it once and use it with any model. Antigravity Gemini Image 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 Antigravity Gemini Image in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uluckyXH/OpenMOSS/tree/main/skills/antigravity-gemini-image. 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 Antigravity Gemini Image?

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 Antigravity Gemini Image?

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

Is the Antigravity Gemini Image AI skill free?

Yes. It is published on GitHub by uluckyXH 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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