Scenario

What is Scenario?

Scenario is a web platform for generating visual assets that match a style you already own. Instead of prompting a general-purpose model and hoping the output resembles your project, you upload between 5 and 100 reference images — your art bible, your existing character sheets, your icon set — and Scenario trains a custom LoRA model on them. Every later generation inherits that style. The guidance is 10-30 images to capture a style and 5-15 for a specific character or object, with training runs taking 30 minutes to a few hours. That trained model then becomes reusable infrastructure: new NPCs, item icons, tile variants, and marketing key art all come out of the same visual system.

Around that core sits a general generation layer — a library of 500+ models from 50+ providers spanning image, video, 3D, and audio, with side-by-side output comparison so you can test the same prompt across several of them. Multi-step pipelines are built in a visual node editor, agents batch-generate assets from reusable team templates, and a REST API exposes generation, training, batch processing, and modification tasks like background removal and vectorization to external tooling. The product launched squarely aimed at 2D game assets under a game-focused domain that now permanently redirects to the current site, and the positioning has since widened to creative AI infrastructure, with the company reporting 15,000+ customers and naming Unity and Ubisoft among them.

Who is it for?

Scenario is for teams whose problem is consistency at volume rather than image quality on any single generation. If you need one striking illustration, a general image model is cheaper and faster. The value here shows up when you need four hundred assets that all look like they came from the same artist — and it only shows up on Pro at $45/month or above, since custom model training is not included in the $15/month Starter tier. The free tier’s 50 daily credits are enough to judge output quality against your art direction before committing.

• Game studios and indie developers maintaining a locked visual identity across characters, items, environments, and UI, especially for live-service content drops where new assets ship continuously.
• Technical artists and pipeline engineers who want generation callable from internal tools through the REST API rather than as a separate browser workflow artists have to context-switch into.
• Marketing and brand teams producing high volumes of on-brand creative — ad variants, store banners, key art — that must match an existing style guide rather than drift toward a generic AI aesthetic.
• Freelancers and small art shops taking style-matched asset commissions, where training one model per client turns repeat batch work into a fast, repeatable delivery.