Whitney Acqusition


Universal Beauty
SEREIS
2025 - Present

In Gretchen Andrew’s ongoing series of Facetune Portraits, custom robotics scribe the popular AI-driven beauty filters of social media into oil paintings derived from images of quintessential beauty. Normally, on TikTok and via Zoom’s “touch up” feature, these visual modifications occur seamlessly and invisibly. By making this process visible, Facetune Portraits reveals the messy co-existence we have with our digital selves.
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Made up of a potential 100 Contestants from 100 different countries, Facetune Portraits: Universal Beauty looks at the homogenizing impact of this monocultural, single AI beauty standard across the faces and bodies of famously beautiful women from around the world. As this same algorithm sculpts the female form into a single, universal look, we see diversity disappear. While unaltered human faces coexist with the algorithmically 'perfected' versions, a double portrait is created – a visualization of reality meeting desire. The result is a full-body portrait of tension, where each brush stroke, each smudge, each painterly contradiction is a record of disagreement between how our faces and bodies actually look and how AI says we should be. ​
These works outwardly portray the absurd, and too-real scars of the hidden ‘perfections’ that lurk behind so many of the images we experience – revealing our desire not just to be beautiful, but to be like everyone else, accepted as much by the algorithms as by our peers.

Oil Paint Printer​
I then print the original, unmodified image in oil paint.
XY Drawing Robot - Apply Facetune modifications physically
The wet oil painting is placed under an XY-axis drawing robot. The robot, instructed by the discrepancies between the original image and an AI-modified (Facetuned) version, adds brushstrokes where lines have changed. This process visually highlights the AI's alterations, creating messy paint strokes that attempt to reconcile the differences, rather than seamlessly editing pixel
How does the robot interpert the Facetune Algorithms?
This video shows pre and post facetuned images as well as the lines showing the difference. These lines represent where the image has changed. These areas of change are converted into g-code and sent to the drawing robot to become brush marks.











