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# Gempix surfaces in Whisk as Google tests precise reference modes
- URL: https://www.testingcatalog.com/gempix-surfaces-in-whisk-as-google-tests-precise-reference-modes/
- Published: 2025-08-15T14:43:31.000Z
- Updated: 2025-08-15T14:44:41.000Z
- Description: What we know so far: GEM_PIX might be a new model for image editing powered on top of Imagen 4. Given its name, it might be coming during the Pixel event on August 20.
- Author: Alexey Shabanov
- Tags: Google AI Labs, Latest AI News, AI Rumours

[Gempix](https://www.testingcatalog.com/google-readies-image-generation-update-ahead-of-august-20-pixel-event/) has now been found not only in Gemini’s code but also in Whisk, an experimental Google Labs project. In Whisk’s code, it appears within a “Precise Reference” toggle offering three modes: Default, **GEM\_PIX**, and **R2I**, the latter likely standing for “reference to image.” This suggests upcoming support for reference images and expanded image editing options across multiple model variants.

> BREAKING 🚨: Gempix model is spotted on Whisk along with a new "Precise Reference" toggle.   
>  
> This feature is already available to trusted testers where Whisk is powered by Imagen 4\.   
>  
> Pixel event should be fun 👀 [pic.twitter.com/otFbspi7OL](https://t.co/otFbspi7OL?ref=testingcatalog.com)
> 
> — TestingCatalog News 🗞 (@testingcatalog) [August 15, 2025](https://twitter.com/testingcatalog/status/1956366358263779380?ref%5Fsrc=twsrc%5Etfw&ref=testingcatalog.com)

Public Whisk currently runs on Imagen 3, but trusted testers are already using Imagen 4, which these new reference models appear to build upon. The combination of Gempix, reference-based editing, and Imagen 4 points to Google developing more advanced AI image tools, possibly merging Gemini’s native generation with reference-driven workflows.

Given the timing, these capabilities may be introduced at the Made by Google event on August 20, potentially debuting on Pixel devices and in Labs experiments before a wider rollout. This aligns with Google’s recent strategy of tying AI features to hardware launches and progressively opening them beyond the test group.

Source: Anonymous tip