Athena Image Upscaler

Enhance image detail while keeping the final output near the original size.

Model Overview

Athena Image Upscaler is a same-size enhancement node built for images that look large but still feel detail-poor. It helps recover cleaner texture and sharper perceived detail without forcing the final result to grow beyond the original canvas.

Best At

• Improving large images that feel soft, overly smooth, or under-detailed.
• Rebuilding texture on artwork, photos, and product imagery while keeping the same overall size.
• Letting you choose between more faithful preservation and more aggressive reconstruction.

Limitations / Not Good At

• Stronger settings can invent texture and move farther away from the source.
• Extremely compressed or badly damaged inputs can still produce unstable detail.
• It is tuned for detail enhancement, not general retouching or creative restyling.

Ideal Use Cases

• Refreshing 4K or print-sized assets that still feel soft up close.
• Adding perceived detail to generated images before final delivery.
• Cleaning up large illustrations, portraits, or product shots that need more texture.

Input & Output Format

• Input: one image plus Detail Preservation and Texture Boost controls.
• Output: one enhanced image returned at roughly the original display size.

Performance Notes

Lower preservation settings do more reconstruction work and can cost more because they require a stronger upscale step internally.