A noise trick may reduce Nano Banana image cleanup artifacts
can make low-quality images worse when trying to upscale or clean them, especially when the image has or . A practical workaround is to add monochrome to the damaged parts before uploading the image.
The added noise breaks up blocky marks and rough color transitions, so treats the area as noise that needs cleanup. This can help rebuild smoother gradients and sharper lines while keeping the original outline mostly unchanged.
The workflow is to open the low-quality image in Photoshop, GIMP, or another editor that can add noise, apply monochrome to the areas that need repair, and export the result as a flat image. More damaged images may need more noise, but the outlines should be left untouched.
Key points
- may worsen and during image cleanup or upscaling.
- Adding monochrome before upload can make damaged areas easier for the AI to clean.
- The noise should target rough color areas and marks, not the main outline.
- Photoshop, GIMP, or any editor with a noise tool can be used for the prep step.
- Badly damaged images may need more noise, but too much can change the result.