ImgUpscaler2× vs 4× upscaling: what changes?
Understand width, height, pixel count, output limits, and when to use each scale.
2× doubles width and height (4× total pixels). 4× multiplies each dimension by four (16× total pixels).
What does 2× mean?
A 2× upscale doubles both the image width and height. Total pixels become four times the original count.
What does 4× mean?
A 4× upscale multiplies both dimensions by four. Total pixel count becomes sixteen times the original count.
Which should you choose?
Choose 2× when your output only needs a moderate increase. Choose 3× for a middle step or 4× for larger dimensions, as long as the output remains inside supported image size and output limits.
What about 3×, 6× and 8×?
3× multiplies each dimension by three, producing nine times the original pixels. The main selector offers 2×, 3× and 4×. Expand Advanced scale for 6× or 8×; these multiply pixel count by 36 or 64, so they fit only smaller originals. All scales share the same 32 MP output limit and output-based credit rules.
Will 4× make an image perfect?
No. AI may reconstruct or alter fine details, especially small lettering, faces, or complex patterns. Always inspect the output before using it. The Natural and Extra Detail guide explains what to check.
Example: how output megapixels affect credits
| Output image size | Credit tier |
|---|---|
| Up to 8 MP | 1 credit |
| Over 8–16 MP | 2 credits |
| Over 16–32 MP | 4 credits |
These tiers apply when using paid credits. Eligible outputs up to 8 MP can use your remaining daily free allowance. See free usage and credit rules.
Ready to try it?
Choose your image and inspect the result before downloading.