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Restore an old photo
FLUX.1 [Inpainting]

FLUX.1 [Inpainting]

Repair images by inpainting with text prompts

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FLUX.1 [Inpainting]

Repair images using text prompts and masks

2

What is FLUX.1 [Inpainting] ?

FLUX.1 [Inpainting] is an AI-powered tool designed to repair and restore images by inpainting damaged or missing areas. It leverages advanced AI technology to seamlessly fill in gaps or remove imperfections in photos, making it ideal for restoring old or degraded images. With text prompts, users can guide the inpainting process to achieve desired results.

Features

• Text-based inpainting: Use text prompts to describe the desired repairs or additions to the image.
• Advanced AI algorithms: Sophisticated models analyze the image context to create natural, seamless repairs.
• Damaged area detection: Automatically identifies and targets areas that need restoration.
• Customizable output: Adjust settings to match the style and texture of the original image.
• Multi-format support: Works with popular image formats like JPG, PNG, and more.
• User-friendly interface: Intuitive design makes it accessible for both beginners and professionals.

How to use FLUX.1 [Inpainting] ?

  1. Download and install the FLUX.1 [Inpainting] application.
  2. Upload your image to the tool by selecting it from your device or dragging and dropping.
  3. Highlight the damaged area using the built-in selection tools.
  4. Enter a text prompt describing the desired repair (e.g., "Fix torn corner" or "Remove scratch").
  5. Preview the changes to ensure the inpainting meets your expectations.
  6. Apply the changes and export the restored image in your preferred format.

Frequently Asked Questions

What file formats does FLUX.1 [Inpainting] support?
FLUX.1 supports common image formats including JPG, PNG, BMP, and TIFF.

Can I use FLUX.1 [Inpainting] for non-photographic images?
Yes, FLUX.1 works with any digital image, including artwork, scans, and digital graphics.

How detailed should my text prompts be?
Text prompts should be clear and specific. For example, instead of "Fix photo," try "Restore the torn edge on the left side to match the original texture." This helps the AI generate more accurate results.

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