image-to-image
Real-ESRGAN delivers high-quality image super-resolution with optional face correction and adjustable upscale factors. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Input
Idle
Votre requête coûtera $0.0024 par exécution.
Pour $1 vous pouvez exécuter ce modèle environ 416 fois.
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README
Real-ESRGAN — wavespeed-ai/real-esrgan
Real-ESRGAN is an image upscaling and enhancement model that improves resolution and perceived detail while keeping the original content intact. Upload a low-resolution or slightly blurry image and the model produces a sharper, higher-quality result suitable for publishing, sharing, or downstream generation workflows. It’s commonly used as a final polish step for portraits, product photos, and AI-generated images.
Key capabilities
- Image upscaling (super-resolution) from a single input image
- Enhances perceived sharpness and fine details
- Reduces common low-res artifacts and compression noise
- Works well for portraits, objects, and general photography
- Simple “upload → enhance” workflow
Use cases
- Upscale AI-generated images before posting or printing
- Improve clarity of portraits and faces (light enhancement)
- Enhance product photos for e-commerce listings
- Reduce compression artifacts in web images
- Preprocess inputs for other models that benefit from higher-res images
Pricing
| Output | Price |
|---|---|
| Per upscaled image | $0.0024 |
Inputs
- image (required): the image to upscale/enhance
Tips
- Start with already well-exposed images for best results
- If the source is extremely blurry, expect improvement but not full recovery of lost detail
- For stylized images, run a small batch and pick the most natural-looking output