SUPIR

Community
Image Generation

SUPIR by Fanghua Yu et al. is a large diffusion-based restoration model that recovers photorealistic detail from heavily degraded images and can be steered with a text prompt describing the scene.

Generate with SUPIR
Describe what you want and pick a size — the image renders inline.
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TL;DR·Last updated June 24, 2026

SUPIR is image generation AI model from Community, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

SUPIR (Scaling Up to Excellence, CVPR 2024) couples a strong generative diffusion prior with degradation-aware control to restore real-world low-quality photos at high quality. A text prompt and quality_prompt let you guide the restored content, which helps on very blurry or noisy inputs where blind methods fail.
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Pricing

Price per Generation
Per generation€4.00

API Integration

Use our OpenAI-compatible API to integrate SUPIR into your application.

Install
npm install railwail
JavaScript / TypeScript
import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

const images = await rw.run("supir-restore", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("supir-restore", "A cat in space", {
  size: "1024x1024",
  n: 1,
});
console.log(res.data[0].url);
Specifications
Price
€4.00
Developer
Community
Category
Image Generation
Supported Formats
image
text
Tags
restore
super-resolution
supir
denoise
diffusion

Frequently asked questions

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