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Grok Image Generation

作者 Stanislav Stankovic · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install grok-image-generation
功能描述
Generate new images and edit existing images with xAI Grok Imagine from a local OpenClaw workspace. Use when the user wants Grok/xAI as the image source for...
使用说明 (SKILL.md)

Grok Image Generation

Use the local scripts in this skill when the user specifically wants Grok/xAI for image generation or editing.

Quick workflow

  1. Confirm XAI_API_KEY exists in the local environment.
  2. For new images, run scripts/grok_imagine.py generate ....
  3. For edits or variations from source images, run scripts/grok_imagine.py edit ... with one to three --image or --image-url inputs.
  4. Save outputs under a task-specific folder when the user names a destination; otherwise use the default output/grok-images/.
  5. If prompts are weak or generic, read references/prompt-templates.md and improve them before generating.

Commands

Run from the skill directory or give absolute paths.

Generate

py -3 scripts\grok_imagine.py generate "A retro sci-fi poster with a giant moon" --aspect-ratio 2:3 --resolution 2k --n 1

Batch variations

py -3 scripts\grok_imagine.py generate "A clean premium mockup of a horror-movie T-shirt design" --n 4 --aspect-ratio 1:1

Edit one source image

py -3 scripts\grok_imagine.py edit "Turn this into a vintage pulp-poster illustration" --image C:\path	o\source.png --resolution 2k

Combine multiple references

py -3 scripts\grok_imagine.py edit "Place the subject from image one into the lighting and palette of image two" --image C:\path\subject.png --image C:\path\style.png

Prompting rules

  • State what must be preserved before what must change.
  • For products and mockups, prioritize subject accuracy and readability.
  • For T-shirt art, ask for strong silhouette, high contrast, and print-friendly detail.
  • For batches, request meaningful variation in composition, angle, and lighting.
  • For edits, keep the instruction narrow unless the user wants radical transformation.

Read references/prompt-templates.md when you need a starting prompt pattern.

Editing and variations

Treat variation in three ways depending on the job:

  • Same prompt, multiple fresh outputs -> use generate with --n > 1
  • Same image, changed style or cleanup -> use edit with one source image
  • Composite / transfer / merge references -> use edit with two or three source images

Failure handling

  • If xAI returns 403 mentioning credits, licenses, or permissions, stop and tell the user billing/access is the blocker.
  • If returned image URLs are temporary, download them immediately; the script already does this.
  • If xAI changes payload shape, update scripts/grok_imagine.py using references/api-reference.md plus the latest xAI docs.

Resources

  • scripts/grok_imagine.py - local generator/editor wrapper for xAI
  • references/prompt-templates.md - reusable prompt skeletons
  • references/api-reference.md - current endpoint assumptions and payload shapes
安全使用建议
Install this only if you are comfortable using xAI's remote API. Do not provide private prompts or source images unless you are willing to send them to xAI, and keep the XAI_API_KEY protected. Review or clean the output directory if generated images, prompts, URLs, or response metadata should not be retained.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The stated purpose is Grok/xAI image generation and editing, and the artifacts match that purpose: the script calls xAI image generation/edit endpoints, reads only user-specified edit images, and saves returned images and metadata.
Instruction Scope
Instructions are scoped to user-directed commands and do not include broad workspace scanning or hidden role changes, though the skill could be clearer that local edit images are uploaded to xAI.
Install Mechanism
The package contains markdown guidance, references, and one Python wrapper script; there are no install hooks, dependency installers, startup tasks, or obfuscated setup steps.
Credentials
Use of XAI_API_KEY, outbound requests to api.x.ai, local image reads, and output writes are proportionate for a remote image API wrapper, but users should treat prompts and source images as data sent to a third party.
Persistence & Privilege
There is no background persistence, privilege escalation, credential storage, or automatic execution; the script does persist generated images and full API responses in the chosen output directory.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install grok-image-generation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /grok-image-generation 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: xAI Grok image generation and editing skill with prompt templates and local wrapper script.
元数据
Slug grok-image-generation
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Grok Image Generation 是什么?

Generate new images and edit existing images with xAI Grok Imagine from a local OpenClaw workspace. Use when the user wants Grok/xAI as the image source for... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 35 次。

如何安装 Grok Image Generation?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install grok-image-generation」即可一键安装,无需额外配置。

Grok Image Generation 是免费的吗?

是的,Grok Image Generation 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Grok Image Generation 支持哪些平台?

Grok Image Generation 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Grok Image Generation?

由 Stanislav Stankovic(@stanestane)开发并维护,当前版本 v1.0.0。

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