JackLegrosPedo
Newbie
- Jul 22, 2026
- 3
- 0
Hello,
When you generate an image with GPT 2Image, Nano Banana, or any AI image generator—whether it's open source (Flux, Qwen Edit, etc.) --> the generation process always seems to leave internal artifacts hidden within the pixel structure
These artifacts appear to be what systems such sightengine or Trust Scan use to identify AI-generated images.
I was wondering if any of you have found a way to bypass these detection systems while still maintaining decent image quality.
So far, the only approach I've found that actually works is applying fairly aggressive image degradation. While this can sometimes bypass AI detection, it also destroys the overall image quality.
Has anyone discovered a method to reliably bypass while preserving acceptable image quality?
I'm a developer, and I've been working on this problem for the past nine days. I've explored several fairly complex approaches, but I still haven't found a solution that consistently works across all AI-generated images.
When you generate an image with GPT 2Image, Nano Banana, or any AI image generator—whether it's open source (Flux, Qwen Edit, etc.) --> the generation process always seems to leave internal artifacts hidden within the pixel structure
These artifacts appear to be what systems such sightengine or Trust Scan use to identify AI-generated images.
I was wondering if any of you have found a way to bypass these detection systems while still maintaining decent image quality.
So far, the only approach I've found that actually works is applying fairly aggressive image degradation. While this can sometimes bypass AI detection, it also destroys the overall image quality.
Has anyone discovered a method to reliably bypass while preserving acceptable image quality?
I'm a developer, and I've been working on this problem for the past nine days. I've explored several fairly complex approaches, but I still haven't found a solution that consistently works across all AI-generated images.