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Restore an old photo
InstructIR

InstructIR

Restore and enhance images using human instructions

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What is InstructIR ?

InstructIR is an advanced AI tool designed to restore and enhance old or degraded photos using human instructions. It leverages cutting-edge neural networks to reconstruct and improve image quality, making it ideal for preserving memories or historical visuals. By incorporating user guidance, InstructIR ensures that the restoration process aligns with the user's vision.

Features

• Highly accurate image reconstruction: InstructIR uses AI to fill in missing details and repair damaged areas. • Customizable enhancement: Users can provide specific instructions to guide the restoration process. • Noise and artifact removal: Effectively eliminates dust, scratches, and other imperfections. • Color enhancement and balancing: Restores natural colors and improves contrast for vibrant results. • Scalability: Works on images of various sizes and resolutions, from small photos to high-definition pictures.

How to use InstructIR ?

  1. Upload your image: Load the old or damaged photo into the InstructIR platform.
  2. Provide instructions: Specify the level of restoration, color enhancement, or any particular features you want to focus on.
  3. Preview the result: Review the AI-generated output to ensure it meets your expectations.
  4. Adjust settings if needed: Fine-tune instructions or parameters for better results.
  5. Download the restored image: Save the final enhanced version to your device.

Frequently Asked Questions

What file formats does InstructIR support?
InstructIR supports common image formats such as JPEG, PNG, and TIFF, ensuring compatibility with most photo collections.

How long does the restoration process take?
Processing time varies depending on image size and complexity, but most restorations are completed within a few seconds to a minute.

Can I refine the results further after initial restoration?
Yes, InstructIR allows users to iterate by adjusting instructions or parameters and re-processing the image for improved results.

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