Flux maintains facial geometry and spatial coherence across 5 sequential iterative edits - is anything else doing this at this level?

One woman. 5 Different Prompts. Perfect Contextual Preservation

Playing around with Flux again and thought I'll try it with a model changing the aspect of the photo by prompts only.

This isn't art sharing, it's a demonstration of iterative prompt-based context preservation in Flux. Each generation uses the previous output as input, maintaining facial geometry, lighting consistency and spatial coherence across 5 sequential edits.

Prompts I used for this experiment were simple:

1. Add a handbag
2. Remove handbag and add sunglasses
3. Change background to a beach scene
4. Add a summery beach bag
5. Change suit to a dress

I didnt have to explain to keep the facial expression the same or anything. Just normal language ask's to add or deduct a particular object from the photo.

Every photo has perfect context from the last. The facial expressions are identical in each photo.

Interested whether others have found models that maintain this level of fidelity across iterative inpainting chains, or if Flux is genuinely leading here.