Grok Media

calesthio/OpenMontage/.agents/skills/grok-media

by calesthio9327439db69021ab4b0e2776729bf3b58fdb5a87No license65K starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated 5 days ago

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

AI-generated overview

Guide for using xAI Grok image and video generation APIs, covering auth, endpoints, prompting, and pricing.

What it does
This skill is a reference guide for working with xAI Grok media models. It documents authentication via the XAI_API_KEY environment variable, the image generation and editing endpoints, the video generation and polling endpoints, and the supported modes such as text-to-image, image-to-video, and reference-image video. It also provides prompt guidance, output constraints, pricing details, and failure-handling advice.
When to use it
Use it when generating or editing images, or producing short videos, through xAI Grok media models. It is also useful when you need endpoint, parameter, pricing, or prompt-structure reference for those models.
Requirements
Requires an XAI_API_KEY credential and network access to the xAI API base URL. No scripts are included; it is instructions only.

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

Source and attribution

Source:calesthio/OpenMontagein.agents/skills/grok-mediaat commit9327439

License: No license

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