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Grok Media

CommunityPopular
calesthio
grok-media

xAI Grok image and video generation guide covering authentication, endpoints, prompt structure, image editing, reference-image video, and async polling.

Overview

Publishercalesthio
RepositoryOpenMontage
Skill namegrok-media
Stars
67K
Forks
8.5K
Bundled files
Instructions only
LicenseAGPL-3.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by calesthio on GitHub. Read the source before you install it.

Installation

Install the Grok Media 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/calesthio/OpenMontage/tree/main/.agents/skills/grok-media
  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/calesthio/OpenMontage.git /tmp/OpenMontage
mkdir -p .claude/skills
cp -r /tmp/OpenMontage/.agents/skills/grok-media .claude/skills/grok-media
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Grok Media 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 Grok Media 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 Grok Media 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.

Grok Media

Use this skill when working with xAI media models in OpenMontage.

Models

  • grok-imagine-image for image generation and image editing
  • grok-imagine-video for text-to-video, image-to-video, and reference-image video

Authentication

  • Env var: XAI_API_KEY
  • Base URL: https://api.x.ai/v1
  • Header: Authorization: Bearer $XAI_API_KEY

Image API

Text-to-image

  • Endpoint: POST /images/generations
  • Core fields:
    • model
    • prompt
    • n
    • aspect_ratio
    • resolution

Image edit

  • Endpoint: POST /images/edits
  • Use image for one source image
  • Use images for multi-image compositing
  • Each source image can be:
    • a public HTTPS URL
    • a base64 data URI

Image prompting

  • Grok responds well to direct natural language
  • For edits, describe only the intended change and preserve everything else implicitly
  • For multi-image merges, explicitly name how each source contributes
  • Prefer one strong scene description over long style-stacking

Video API

Generation

  • Endpoint: POST /videos/generations
  • Polling endpoint: GET /videos/{request_id}
  • Success state: status == "done"
  • Failure states to handle explicitly: failed, expired

Modes

  • Text-to-video:
    • prompt-only generation
  • Image-to-video:
    • use image: {"url": ...}
    • this anchors the starting frame
  • Reference-to-video:
    • use reference_images: [{"url": ...}, ...]
    • this influences who/what appears in the video without locking the first frame
    • prompts can reference inputs with placeholders like <IMAGE_1>, <IMAGE_2>

Video constraints

  • Grok video is best treated as short-form generation
  • Current output resolutions are 480p and 720p
  • Reference-image video supports multiple images and is useful for product placement, wardrobe transfer, and identity consistency
  • Download outputs promptly; provider URLs may be temporary

Pricing

  • grok-imagine-image: $0.02 per generated image
  • grok-imagine-image edits/composites: add $0.002 per input image
  • grok-imagine-video:
    • 480p: $0.05 per second
    • 720p: $0.07 per second
  • grok-imagine-video image-conditioned requests: add $0.002 per input image

Grok-Specific Prompt Guidance

Images

  • Start with subject, action, setting
  • Add one style anchor, not five
  • For edits:
    • describe the desired modification
    • keep the rest of the image stable by omission, not by writing a giant preservation list

Video

  • Keep prompts scene-local: one shot, one main motion idea, one emotional beat
  • For reference-conditioned video, explicitly map source images to roles:
    • person from <IMAGE_1>
    • jacket from <IMAGE_2>
    • product from <IMAGE_3>
  • Camera and pacing language helps:
    • slow push-in
    • handheld follow
    • locked-off medium shot
    • high-energy whip pan transition

Good Fits

  • Image style transfer
  • Image compositing from multiple sources
  • Reference-conditioned short video
  • Product-led motion clips
  • Character-consistent scenes without hard first-frame lock

Weak Fits

  • Long-form clip generation
  • Heavy reliance on deterministic seeds
  • Overloaded prompts with multiple scene changes

Failure Handling

  • If generation submission succeeds but polling expires, surface it as a provider/runtime issue
  • If a request fails, preserve the endpoint, mode, and prompt summary in the error
  • Do not silently substitute a different provider after xAI was selected without user approval

Frequently asked questions

What does the Grok Media AI skill do?

xAI Grok image and video generation guide covering authentication, endpoints, prompt structure, image editing, reference-image video, and async polling.

Why use Grok Media on TypingMind?

Because you install it once and use it with any model. Grok Media 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 Grok Media in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/grok-media. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Grok Media?

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 Grok Media?

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

Is the Grok Media AI skill free?

Yes. It is published on GitHub by calesthio under the AGPL-3.0 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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