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AI Image Beautifier & Object remover 🎨

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AI Image Beautifier & Object remover 🎨

AI Image Beautifier & Object remover 🎨

Developed by

Powerful Bachelor

Powerful Bachelor

Maintained by Community

🎯 AI-Powered Image Object Remover - Seamlessly eliminate unwanted objects from photos with advanced ML! πŸ“Έβœ¨ Features natural background reconstruction & intelligent color matching. Perfect for e-commerce, photography & marketing. πŸš€ Simply describe what to remove and let AI do the magic!

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Pricing

Pay per event

0

Total users

4

Monthly users

4

Runs succeeded

>99%

Last modified

19 days ago

You can access the AI Image Beautifier & Object remover 🎨 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=powerful_bachelor/ai-image-beautifier-object-remover",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with AI Image Beautifier & Object remover 🎨

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=powerful_bachelor/ai-image-beautifier-object-remover along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=powerful_bachelor/ai-image-beautifier-object-remover",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.