Reference Sets for AI Generation
Keep Every Generation On-Model and On-Style
Reference Sets
The hardest problem in AI-assisted game art isn't generating something good — it's generating the same character, the same style, the same world, hundreds of times. Without shared references, every artist re-describes the hero from scratch, every prompt drifts a little, and consistency erodes across the exact assets that are supposed to feel like one game.
Reference Sets solve consistency at the source. They're reusable libraries of characters, backgrounds, objects, and styles — images with captions, cover files, and prompt fragments — that the whole team and the Creative Agent draw on, so every generation starts from the same ground truth.
01
Key capabilities
Libraries for every asset type
Build sets for characters, backgrounds, objects, and styles. Each set collects the images that define the concept, with captions that tell models what matters about them.
Prompt fragments
Store the prompt snippets that reliably produce a character or style, and Layer suggests them in the composer. The phrasing your best prompter figured out becomes something the whole team reuses in one click.
Captions and cover files
Caption each image so models and teammates understand what it shows; give each set a cover file so it's recognizable at a glance in a workspace full of them.
Applicability scoping
Scope a set to the modalities or models where it belongs. A 2D character sheet doesn't need to surface in audio work — scoping keeps suggestions relevant.
Foundation for custom training
Reference Sets are the starting point for LoRA fine-tuning and voice cloning. The same curated images and captions that guide daily generation become training data when a concept deserves its own custom model.
02
How it works
Collect your references
Create a set and upload the images that define a character, style, or environment. Add captions and a cover file so the set is self-explanatory.
Configure how it applies
Add prompt fragments for the phrasings that work, and scope the set to the modalities and models where it should appear.
Generate with it everywhere
Pull the set into sessions, hand it to the Creative Agent, or use it as the dataset for LoRA training or voice cloning. Every output inherits the same reference point.
The industry's best creative models. One platform.
03
Built for game production
Character consistency across a live game
A character that appears in the game, the store, the ads, and the event splash needs to be the same character everywhere. One Reference Set makes that the default.
UA creative that stays on-brand
Performance teams iterate fast; Reference Sets make sure fast doesn't mean off-model. Every ad variant generates against the approved look.
Onboarding without tribal knowledge
New artists don't need to learn which prompts produce the house style — the sets and their fragments encode it. Production knowledge lives in the workspace, not in someone's notes.
A pipeline to custom styles
When a title's style is distinctive enough to deserve a fine-tuned model, the Reference Set you've been using is already the training set. Curation work pays off twice.
Reference Sets are how 400+ game studios and entertainment brands keep AI output looking like their games. Build one, and consistency stops being a per-prompt battle.
04
Related features
Questions about Reference Sets
What is a Reference Set?+
A Reference Set is a reusable library of characters, backgrounds, objects, or styles — images with captions, cover files, and prompt fragments — that grounds AI generation in your game's actual look.
What are prompt fragments?+
Prompt fragments are reusable prompt snippets stored with a Reference Set and suggested in the composer, so the phrasing that reliably produces your character or style is one click away for everyone on the team.
Can I limit a Reference Set to certain models or modalities?+
Yes. Applicability scoping lets you target a Reference Set to specific modalities or models, so references only appear where they actually help.
How do Reference Sets relate to custom model training?+
Reference Sets are the foundation for LoRA fine-tuning and voice cloning. The curated images and captions you build for day-to-day generation double as training data when you're ready to train a custom style.
Is my reference artwork used to train foundation models?+
No. Customer data is never used to train foundation models. Your reference sets stay in your workspace and are used only for your own generations and custom training.
Try Reference Sets today
Build your first Reference Set and see your characters stay on-model. Start free — no credit card required.