Recognition across images
Reference-guided generation and deliberate selection help a character feel recognizable while each image tells its own story.
YOA brings together AI character consistency, considered image selection, and a gallery worth returning to.
Explore the processGenerating an image is only one part of the work. This project explores how a fictional character can remain recognizable across scenes—and how to keep the results organized without losing the choices behind them.
The example portraits depict fictional AI-generated adults, not real team members or customers. The goal is a small, understandable workflow with human review, rather than an unattended stream of images.
The workflow we are documenting. These stages describe the project approach, not a claim that every integration is complete.
Use visual references to guide facial identity and styling. Consistency remains something to evaluate, not a guarantee.
Vary the setting, composition and wardrobe. Record the actual image-generation provider rather than attributing every output to one model.
Check identity, image quality and suitability. Keep candidates separate from selections approved for display.
Bring selected images into a browsable collection with clear labels and a boundary between private work and public examples.
Two newly generated fictional characters demonstrate how an agent gallery could look. These are illustrative portraits, not real users or a live generation service.


Select a portrait to view the original. No private archive images are used.
Reference-guided generation and deliberate selection help a character feel recognizable while each image tells its own story.
Image quality, identity, and suitability are considered before an image joins a collection.
Only selected fictional examples appear here. Private working archives stay separate from the gallery.
YOA is a space for fictional AI characters and the images that make them feel remembered.
Every portrait on this site is AI-generated and clearly labeled. The gallery is not affiliated with or endorsed by any model provider.
For questions or collaboration, write to contact@n8n-danielo.uk.