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bria/increase-resolution

Bria Increase resolution upscales the resolution of any image. It increases resolution using a dedicated upscaling method that preserves the original image content without regeneration.

Hint: You can drag and drop a file or click to upload

preview
If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Idle

Your request will cost $0.04 per run.

For $1 you can run this model approximately 25 times.

One more thing:

ExamplesView all

README

Bria Increase Resolution

Bria Increase Resolution enlarges images by a fixed 2× or 4× while preserving sharp edges, textures, and natural color. It’s built on licensed training data for compliant commercial use and is ideal for design assets, product photos, and AI artwork that already look good but need more pixels.

✨ Highlights

  • Fixed-factor upscale or with consistent geometry and minimal ringing.
  • Quality-first — enhances detail while avoiding over-sharpening or halos.
  • Production-friendly I/O — synchronous or async API; URL or BASE64 output.
  • Performance guardrails — maximum total area 8192×8192 px.

🧩 Parameters

  • image* (required) Source image (URL or upload).

  • desired_increase* (dropdown, required) Resolution multiplier: 2 or 4.

    The model respects a max total area of 8192×8192 px.

🚀 How to Use

  1. Upload/Paste image (required).
  2. Choose desired_increase = 2 or 4.
  3. Click Run to generate and download the upscaled result.

💰 Pricing

  • Per run: $0.04

🧠 Tips

  • Choose the factor by destination: web UI elements often need 2×; print or large hero images benefit from 4× (when within the area cap).
  • Pipeline pairing: combine with a gentle denoise or JPEG-artifact cleanup before upscaling for best results.

Notes

  • This model is best suited for images that are already reasonably sharp and clean, and need additional resolution. For extremely blurry or heavily compressed sources, consider using ultimate-image-upscaler.