A professional AI image generation skill that places a person into high-fidelity selfies with celebrities or fictional characters.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install celeb-ai-openapi-skill
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install celeb-ai-openapi-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Celeb-AI skill is a powerful expansion for AI agents, part of the Openclaw Skills ecosystem, designed to interface with the WeShop OpenAPI. It allows users to take a standard portrait and realistically composite it into a scene with a chosen celebrity or fictional figure, such as Harry Potter.
Leveraging advanced image synthesis, this skill handles the heavy lifting of perspective matching, background generation, and character consistency. It is ideal for developers building social media tools, entertainment apps, or personalized content generators that require robust cloud-based image manipulation via a clean API interface.
/openapi/agent/runs endpoint specifying the celeb-ai agent and the textDescription of the scene.executionId via GET requests until a Success or Failed status is returned.To use this Openclaw Skills compatible integration, you must obtain an API key from the WeShop dashboard and configure your environment.
# Export your API key as an environment variable
export WESHOP_API_KEY="your_api_key_here"
Note: Ensure your agent is configured to send the raw API key in the Authorization header without the Bearer prefix.
The skill utilizes a structured JSON request and response format to manage image assets and task states.
| Object | Property | Description |
|---|---|---|
| Input | input.images |
An array containing up to 2 source portrait URLs. |
| Params | textDescription |
The prompt describing the celebrity and the scene. |
| Params | batchCount |
Number of variations to generate (1-16). |
| Status | data.executions |
Array containing the final generated image objects and URLs. |
textDescription parameter.Loading
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