Inpainter

Overview

Inpainter is an AI image tool for image restoration and local generation scenarios. The current page mainly showcases image completion capabilities based on Ideogram v2 and Replicate. Users can enter prompts and optionally upload a starting image to intelligently generate and repaint missing areas or specified regions of an image.

Based on publicly available information, Inpainter is suitable for partial image editing, content completion, creative image modification, and developers testing AI inpainting workflows. The product also provides entries related to API and GitHub, making it convenient to further understand its implementation approach or carry out technical integration.

Main Features

• AI Image Completion (Inpainting)

  • Supports intelligent filling or repainting of local areas in images
  • Can combine text prompts to generate content that is closer to the style of the original image

• Supports Uploading a Starting Image

  • The page provides a drag-and-drop upload entry
  • Suitable for secondary editing based on an existing image, rather than only generating from scratch

• Multiple Model Modes Available

  • The page shows support for Ideogram v2 Turbo (Fast)
  • Also provides Ideogram v2 (High Quality)
  • Users can choose different modes based on speed or image quality requirements

• Online Experience

  • Prompts can be entered and generation can be run directly on the web page
  • Suitable for quickly verifying image restoration or completion effects

• Developer Resources

  • Provides related entry points for running Ideogram v2 through the API
  • Provides GitHub build instructions for developers to reference implementation solutions

Pricing

At present, no clear pricing information is visible from the public page summary.
However, the page mentions that the relevant models can be used through the API, which usually means:

• The online demo may offer basic trial capabilities
• API call charges may depend on the billing rules of the platform or model used
• Different model versions (such as Turbo / High Quality) may have different costs

For accurate pricing, it is recommended to visit the official website or its API-related page to check the latest information.

Use Cases

• Partial restoration of old photos or damaged images
• Natural completion of blank areas after removing blemishes
• Partial repainting of posters, illustrations, and product images
• Creative extension based on text prompts
• Developers testing AI image restoration, local generation, and API integration workflows

FAQ

Can Inpainter only generate images from scratch?

No. According to the page information, users can upload a starting image and then edit it with prompts, so it is more oriented toward "local generation and completion based on the original image."

Which models does Inpainter support?

The currently captured content shows that it mainly supports Ideogram v2 Turbo and Ideogram v2, with the two modes oriented toward faster generation and higher-quality output respectively.

Does it provide an API?

Yes. The page clearly mentions that Ideogram v2 / Ideogram v2 Turbo can be run through the API, which is suitable for users with automated generation or integration needs.

Is it open source?

It cannot be directly concluded that the product itself is fully open source, but the page provides a GitHub entry, which can be used to view its build approach or related implementation resources. The specific open-source scope is subject to the GitHub repository description.