Scenario
AI game asset platform with custom style training
- Best for
- Studios that want consistent art styles across 2D, 3D and audio assets, using custom-trained models
- Makes
- Images, sprites, textures, PBR materials, skyboxes, 3D models, video and audio
- Made by
- Scenario
- Where you use it
- Web, Unity Editor, Godot Editor
- Engines
- Unity, Godot, Blender
- Pricing
- Free tier with 50 credits (described on the page as 50 free daily credits); paid plans from $15/month billed monthly, 33% less billed annually (as of October 2026)
- Free plan
- Yes
- Open source
- No
- Export
- Paid plans include a full commercial license to use, sell and ship generated assets; free-plan outputs are personal and evaluation use only
- Status
- Available
Scenario is a web platform for producing game art with AI. Instead of one model, it gives access to models from many providers, including Black Forest Labs, Google, OpenAI, ElevenLabs, Meshy and Tripo, for images, video, 3D meshes and audio, and lets teams train custom models on their own art style, according to its homepage and pricing page.
It reaches into engines and agents in several ways. Scenario publishes a Unity plugin, a Godot editor plugin and a Blender extension on GitHub, plus an MCP server. Its open-source Agent Skills repository (MIT license, about 1,190 GitHub stars on October 29, 2026) teaches coding agents such as Claude Code, Cursor and Codex to generate assets through that MCP server. It also includes "expert" skill sets that drive Blender, Maya, ZBrush, Unreal, Unity, Godot and Roblox Studio directly, according to the repository README.
As of October 2026, Scenario's pricing page lists a free tier with 50 credits (a line under the plans calls them daily credits), Starter at $15 a month (1,500 credits), Pro at $45 (5,000 credits, custom training) and Max at $75 (10,000 credits, up to 25 users). Annual billing is 33% cheaper. Paid plans include a full commercial license; free-plan outputs are for personal and evaluation use only.
It is aimed more at teams that need one consistent style across many assets than at one-off generations. AIGamer hasn't tested Scenario.
Plans and pricing
| Plan | Price | What you get |
|---|---|---|
| Free | Free | 50 credits (the FAQ says a free tier with 50 credits; a line under the plans says 50 free daily credits); outputs for personal and evaluation use only |
| Starter | $15/month | 1,500 credits a month, 50 GB storage |
| Pro | $45/month | 5,000 credits a month, 500 GB storage, custom model training |
| Max | $75/month | 10,000 credits a month, 1 TB storage, workspace for up to 25 users |
| Enterprise | Custom | 12-month contract, SSO/SAML |
From Scenario's own pricing page, checked 29 October 2026. Prices change; check before you buy.
Limitation: Free-plan outputs can't be used commercially, so shipping assets requires a paid plan.
FAQ
Is Scenario free?
There's a free tier with no credit card required. Scenario's FAQ describes it as 50 credits, while a line under the plans says 50 free daily credits. Free outputs are for personal and evaluation use only. Paid plans start at $15 a month.
Can I use Scenario assets in a commercial game?
Yes on paid plans. Scenario's pricing FAQ says all paid plans include a full commercial license with no royalties.
Does Scenario work with Unity, Godot or Blender?
Scenario publishes a Unity plugin, a Godot editor plugin and a Blender extension on GitHub, plus an MCP server for AI agents.
What are Scenario's agent skills?
An MIT-licensed set of Agent Skills on GitHub that teach coding agents to generate images, video, audio and 3D through the Scenario MCP server, plus skill sets that drive DCC tools and engines.
Sources
Compiled by AIGamer from Scenario's own pages and the sources below, checked 29 October 2026. We haven't tested Scenario hands-on.
- Scenario: Pricing
- Scenario: Homepage
- Scenario: Agent Skills on GitHub
- Scenario: Unity plugin on GitHub
- Scenario: Godot plugin on GitHub
- Scenario: Blender plugin on GitHub
Image: Scenario
Written in our own words; quotes are marked and credited. How we report