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Recraft

Recraft Crisp Upscale

recraft/crisp-upscale

A lightweight AI image upscaler that balances denoising with detail preservation while upscaling, at low per-use cost, making it ideal as a final sharpening step in design workflows

recraft/crisp-upscale

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Input

Output

image
Fill in the parameters and run — results show up here.

Pricing

recraft/crisp-upscale per image

Unit Price $0.004

Positioning Overview

recraft/crisp-upscale is an image upscaling and enhancement model released by Recraft. It performs super-resolution and sharpness enhancement on existing images in an image-to-image manner, preserving details and suppressing noise during upscaling. It is intended for developers who need to improve image resolution and is well suited as a post-processing step for design drafts, marketing assets, or generated images; integration only requires passing in the public URL of an image, and the output is the enhanced image.

Key Highlights

  • Balances upscaling and denoising, not simple interpolation — the model analyzes the image to improve resolution and sharpness rather than directly stretching pixels.
  • Low integration barrier — only a public image URL is needed, with support for common formats such as JPEG, PNG, and WEBP.
  • Focused on post-processing rather than generation — positioned as a lightweight image enhancement step that can be chained and reused with generation workflows.

Capability Description

AI image super-resolution enhancement: improves the resolution and sharpness of the input image, producing a high-definition version that is ready to use.

Detail preservation and denoising: balances detail preservation and noise suppression during upscaling, reducing the blurriness of low-resolution assets.

Handling of faces and small details: applies targeted enhancement to small-scale details and face regions in the image, improving the local visual quality.

Invocation requires only an image URL: the request body only needs to provide the public URL of the image; supported formats are JPEG, PNG, and WEBP, and each file must not exceed 10MB.

Use Cases

  • Designers: low-resolution design drafts and small marketing images — input blurry or small-size assets and output high-definition usable images for direct use in layouts and advertising materials.
  • Developers: post-processing of generated images — send images output by design-oriented models into the upscaling step to obtain clearer final products for downstream display.
  • Content teams: clarifying low-resolution old photos and legacy assets — enhance existing low-resolution images for use on websites, in documents, or in preparation for printing.
  • Engineering side: batch image preprocessing — uniformly improve image resolution and sharpness in the pipeline for downstream services or printing.

Limitations and Selection Advice

This model only performs image upscaling and sharpness enhancement and does not have generation capabilities such as text-to-image; an existing image must be provided. The official documentation does not promise complete removal of all noise, so if the results do not meet requirements, additional processing must be handled separately; the input file limit is 10MB. If the goal is to generate new images or vector design drafts, a generation-oriented model should be chosen instead of this model; if the focus is on refining small details and faces, other enhancement-focused versions from the same family may be considered. Billing is per image, and the specific price is subject to the platform's pricing panel.

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