AI Image Upscaler · Model

GAN

Traditional GAN-based upscaling — fast, low-cost, and faithful to the source. Doesn't add invented detail like diffusion-based upscalers; preserves what's there at higher resolution. The pragmatic choice for high-volume batch upscaling where speed and credit cost matter more than aesthetic lift.

At a glance

Price
0.25 Credits/MP
Our rating
Max resolution
100 MP
Type
Precise
Max 100 MP
Best for

What GAN is best for

fast simple upscalingecommerce product image lifthigh-volume batch upscalingpreservation-focused enhancement
Strengths and limitations

How GAN performs

Strengths

  • fastest upscaling option
  • low credit cost
  • no AI interpretation

Limitations

  • lower quality than diffusion-based upscalers
  • limited detail enhancement
Prompting

How to prompt GAN

Practical tips to get the most out of GAN.

  1. 01use for batch work where speed matters more than quality
  2. 02no prompt needed

Tips are tuned for GAN specifically.

Examples

Made with GAN

Before
Image before enhancement and upscaling
After
Image after enhancement and upscaling
Try this prompt
Alternatives

Alternatives to GAN

Other models on Upsampler that cover similar ground.

Try a free image upscaler — no signup, different modelCompare GAN with every other ai image upscaler model
FAQ

Frequently asked questions

What is GAN?

Traditional GAN-based upscaling — fast, low-cost, and faithful to the source. Doesn't add invented detail like diffusion-based upscalers; preserves what's there at higher resolution. The pragmatic choice for high-volume batch upscaling where speed and credit cost matter more than aesthetic lift.

How much does GAN cost on Upsampler?

0.25 credits per megapixel. No subscription, credits never expire.

What is the maximum output resolution?

Up to 100.0 megapixels per generation.

What are alternatives to GAN?

Common alternatives: Seed VR 2 Small, Seed VR 2 Large, Flux (upscale).

Can I try GAN for free?

You can try a free, no-signup version of our ai image upscaler. Note that the free version may use a different, lighter model rather than GAN itself.