Scenario

Scenario is a Paris- and San Francisco-headquartered AI platform for game asset generation founded in 2021 by Emmanuel de Maistre and Hervé Nivon. The Scenario REST API lets game studios and creative teams generate consistent, on-brand images, video, audio, and 3D assets, train custom LoRA models on their own reference art, automate batch asset pipelines, and integrate AI-generated visuals into production tools like Unity. Scenario aggregates 500+ AI models from 50+ providers behind a single workspace and API, with full commercial licensing for generated assets and enterprise SSO, SOC 2 Type II, and governance controls.

5 APIs 16 Features

AIArtificial IntelligenceGame AssetsGame DevelopmentGenerative AIImage GenerationVideo GenerationAudio Generation3D AssetsCustom Model TrainingLoRAControlNetCreative AIAsset Pipeline

Scenario publishes 5 APIs on the APIs.io network. Tagged areas include AI, Artificial Intelligence, Game Assets, Game Development, and Generative AI.

Scenario’s developer surface includes developer portal, documentation, getting-started guide, authentication, signup flow, SDKs, tooling, and 16 more developer resources.

APIs

Scenario Models API

List, inspect, and manage custom and base AI models available to a Scenario account. Returns training status, training progress, model type (image, video, audio, 3D), and metada...

Scenario Generation API

Generate game-ready images, video, audio, and 3D assets from text prompts, reference images, or ControlNet guides. Supports text-to-image, image-to-image, ControlNet (txt2img an...

Scenario Jobs API

Inspect the status, progress, metadata, and output assets of an asynchronous generation or training job. Generation and training requests return a jobId immediately; clients pol...

Scenario Assets API

List, retrieve, upload, and manage the images, video, audio, and 3D assets stored in a team's Scenario workspace. Includes endpoints for project-private assets, public asset ret...

Scenario Usage API

Retrieve unified compute-unit consumption for an account, filtered by date range, project, or model. Compute units match the metering used by the Scenario web application and ar...

Features

500+ AI models across image, video, audio, and 3D from 50+ providers in a single workspace

Custom LoRA model training on a team's reference art (10-50+ reference images, 30 min - 1 hr training)

Text-to-image, image-to-image, ControlNet (txt2img and img2img), text-to-3D, image-to-3D generation

Video and audio generation including the in-house LTX-2 audio-video model

{"Asset editing"=>"background removal, upscaling, vectorization, inpainting (PowerPaint), segmentation (FastSAM)"}

Visual workflow builder for batch generation and asset-pipeline automation

Pre-built apps for common creative tasks (character art, environments, UI, marketing creatives)

REST API with Basic Auth (Base64-encoded API key:secret) for programmatic generation, training, and asset management

Asynchronous job model with polling via /jobs and webhook callbacks

dryRun parameter for cost estimation before executing generation jobs

Unified compute-unit metering matching the web app pricing

Official Unity plugin for in-engine generation

{"Open-source companion projects"=>"diffusers, LTX-2, PowerPaint, FastSAM, ai-toolkit, model-police"}

Full commercial licensing for generated assets on all paid plans

Enterprise SSO, SOC 2 Type II, governance, audit trail, custom integrations

Studio customers including Ubisoft, Unity, Scopely, and many mobile game developers

Resources

GitHubOrganization

Sources

aid: scenario-gg
url: https://raw.githubusercontent.com/api-evangelist/scenario-gg/refs/heads/main/apis.yml
apis:
- aid: scenario-gg:scenario-models-api
  name: Scenario Models API
  tags:
  - AI
  - Game Assets
  - Image Generation
  - Models
  - Custom Training
  humanURL: https://docs.scenario.com/reference/getmodels
  baseURL: https://api.cloud.scenario.com/v1
  properties:
  - url: https://docs.scenario.com/reference/getmodels
    type: Documentation
  - url: https://docs.scenario.com/reference/getmodelsbymodelid
    type: Documentation
  description: List, inspect, and manage custom and base AI models available to a Scenario account. Returns
    training status, training progress, model type (image, video, audio, 3D), and metadata for the 500+ base
    models and any LoRA models trained on a team's reference art. Custom training typically completes in 30
    minutes to one hour from 10-50+ reference images.
- aid: scenario-gg:scenario-generation-api
  name: Scenario Generation API
  tags:
  - AI
  - Game Assets
  - Image Generation
  - Generation
  - Img2Img
  - ControlNet
  humanURL: https://docs.scenario.com/reference/postgeneratecustom
  baseURL: https://api.cloud.scenario.com/v1
  properties:
  - url: https://docs.scenario.com/reference/postgeneratecustom
    type: Documentation
  - url: https://docs.scenario.com/docs/image-to-image
    type: Documentation
  - url: https://docs.scenario.com/docs/controlnet
    type: Documentation
  - url: https://docs.scenario.com/docs/3d-model-generation
    type: Documentation
  description: Generate game-ready images, video, audio, and 3D assets from text prompts, reference images, or
    ControlNet guides. Supports text-to-image, image-to-image, ControlNet (txt2img and img2img), text-to-3D,
    image-to-3D, and modality-specific endpoints for video and audio. Accepts prompt, negative prompt,
    numSamples, guidance, numInferenceSteps, width, height, and modelId; returns an async job that resolves
    into one or more assets. A dryRun parameter returns the compute-unit cost without executing the job.
- aid: scenario-gg:scenario-jobs-api
  name: Scenario Jobs API
  tags:
  - AI
  - Game Assets
  - Jobs
  - Async
  humanURL: https://docs.scenario.com/reference/getjobsbyjobid
  baseURL: https://api.cloud.scenario.com/v1
  properties:
  - url: https://docs.scenario.com/reference/getjobsbyjobid
    type: Documentation
  description: Inspect the status, progress, metadata, and output assets of an asynchronous generation or
    training job. Generation and training requests return a jobId immediately; clients poll the Jobs API (or
    receive a webhook callback) to retrieve the final assets once the job reaches a terminal state.
- aid: scenario-gg:scenario-assets-api
  name: Scenario Assets API
  tags:
  - AI
  - Game Assets
  - Assets
  - Storage
  humanURL: https://docs.scenario.com/reference/getassets
  baseURL: https://api.cloud.scenario.com/v1
  properties:
  - url: https://docs.scenario.com/reference/getassets
    type: Documentation
  - url: https://docs.scenario.com/reference/getassetsbyassetid
    type: Documentation
  - url: https://docs.scenario.com/reference/getpublicassetsbyassetid
    type: Documentation
  - url: https://docs.scenario.com/docs/uploading-images
    type: Documentation
  description: List, retrieve, upload, and manage the images, video, audio, and 3D assets stored in a team's
    Scenario workspace. Includes endpoints for project-private assets, public asset retrieval, and asset
    upload for use as reference images, training data, or ControlNet inputs. All assets carry full
    commercial-use licensing for paid-plan accounts.
- aid: scenario-gg:scenario-usage-api
  name: Scenario Usage API
  tags:
  - AI
  - Game Assets
  - Usage
  - FinOps
  humanURL: https://docs.scenario.com/reference/getusages
  baseURL: https://api.cloud.scenario.com/v1
  properties:
  - url: https://docs.scenario.com/reference/getusages
    type: Documentation
  description: Retrieve unified compute-unit consumption for an account, filtered by date range, project, or
    model. Compute units match the metering used by the Scenario web application and are consumed by both
    generation jobs and custom training jobs.
name: Scenario
tags:
- AI
- Artificial Intelligence
- Game Assets
- Game Development
- Generative AI
- Image Generation
- Video Generation
- Audio Generation
- 3D Assets
- Custom Model Training
- LoRA
- ControlNet
- Creative AI
- Asset Pipeline
kind: contract
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
access: 3rd-Party
common:
- type: Portal
  url: https://www.scenario.com
- type: Documentation
  url: https://docs.scenario.com
- url: https://docs.scenario.com/docs/welcome-to-scenario-api
  name: Welcome to the Scenario API
  type: GettingStarted
- url: https://docs.scenario.com/docs/api-key-and-authentication
  name: API Key and Authentication
  type: Authentication
- url: https://docs.scenario.com/docs/step-1-obtain-your-api-key
  name: Obtain Your API Key
  type: GettingStarted
- url: https://help.scenario.com/en/articles/overviewing-the-api/
  name: Overviewing the API
  type: Documentation
- url: https://help.scenario.com/en/articles/creating-an-api-key/
  name: Creating an API Key
  type: Documentation
- url: https://www.scenario.com/features/api
  name: Scenario REST API
  type: Documentation
- url: https://www.scenario.com/features/train
  name: Custom Model Training
  type: Documentation
- url: https://cdn.cloud.scenario.com/static/api/swagger.yaml
  name: Scenario OpenAPI Specification
  type: OpenAPI
- url: https://app.scenario.com
  name: Scenario Web App
  type: Portal
- url: https://app.scenario.com/signup
  type: SignUp
- url: https://www.linkedin.com/company/scenario-com
  type: LinkedIn
- url: https://github.com/scenario-labs
  type: GitHubOrganization
- url: https://github.com/scenario-labs/Scenario-Unity
  name: Scenario Unity Plugin
  type: SDK
- url: https://github.com/scenario-labs/LTX-2
  name: LTX-2 Audio-Video Generative Model
  type: SDK
- url: https://github.com/scenario-labs/diffusers
  name: Diffusers (state-of-the-art diffusion models)
  type: SDK
- url: https://github.com/scenario-labs/PowerPaint
  name: PowerPaint Inpainting
  type: SDK
- url: https://github.com/scenario-labs/FastSAM
  name: FastSAM (Fast Segment Anything)
  type: SDK
- url: https://github.com/scenario-labs/ai-toolkit
  name: AI Toolkit (Stable Diffusion utilities)
  type: SDK
- url: https://github.com/scenario-labs/model-police
  name: Model Police (model checkpoint validator)
  type: Tool
- url: https://github.com/scenario-labs/awesome-blender-script
  name: Awesome Blender Script
  type: CodeExamples
- url: https://www.scenario.com/pricing
  data:
  - id: starter
    name: Starter
    entries:
    - geo: US
      unit: 1
      label: Monthly
      limit: 1
      price: 15
      metric: user
      timeFrame: month
      description: Standard compute, single-user workspace, 1,500 monthly credits.
    - geo: US
      unit: 1
      label: Annual
      limit: 1
      price: 10
      metric: user
      timeFrame: month
      description: Annual billing at $10/mo (33% savings).
    elements:
    - name: 1,500 monthly credits
    - name: Standard compute
    - name: Single user workspace
    - name: 65+ core AI models
    - name: Private generations
    - name: Community Discord support
    - name: 50 GB storage
    description: Entry-level plan for individual creators.
  - id: pro
    name: Pro
    entries:
    - geo: US
      unit: 1
      label: Monthly
      limit: 1
      price: 45
      metric: user
      timeFrame: month
    - geo: US
      unit: 1
      label: Annual
      limit: 1
      price: 30
      metric: user
      timeFrame: month
      description: Annual billing at $30/mo (33% savings).
    elements:
    - name: 5,000 monthly credits
    - name: Priority queue
    - name: Custom model training
    - name: 30+ advanced editing models
    - name: API access
    - name: Ticket support
    - name: 500 GB storage
    description: For professional creators training custom models and using the API.
  - id: max
    name: Max
    entries:
    - geo: US
      unit: 1
      label: Monthly
      limit: 1
      price: 75
      metric: user
      timeFrame: month
    - geo: US
      unit: 1
      label: Annual
      limit: 1
      price: 50
      metric: user
      timeFrame: month
      description: Annual billing at $50/mo (33% savings).
    elements:
    - name: 10,000 monthly credits
    - name: Up to 25 seats
    - name: Team collaboration tools
    - name: Custom editing model training
    - name: Monitoring dashboards
    - name: High-priority queue
    - name: 1 TB storage (+1 TB per additional seat)
    description: For small teams collaborating on custom asset pipelines.
  - id: enterprise
    name: Enterprise
    entries:
    - geo: US
      unit: 1
      label: Custom
      limit: 1
      price: Call
      metric: user
      timeFrame: month
      description: Custom pricing, 10-user minimum, annual billing required.
    elements:
    - name: Enterprise SSO
    - name: SOC 2 Type II
    - name: Governance and audit trail
    - name: Dedicated account team
    - name: Slack support
    - name: Advanced dashboards
    - name: Custom integrations
    - name: 10 TB storage (+1 TB per seat)
    description: For studios and enterprises with security, compliance, and governance requirements.
  name: Plans
  type: Plans
- type: Features
  data:
  - 500+ AI models across image, video, audio, and 3D from 50+ providers in a single workspace
  - Custom LoRA model training on a team's reference art (10-50+ reference images, 30 min - 1 hr training)
  - Text-to-image, image-to-image, ControlNet (txt2img and img2img), text-to-3D, image-to-3D generation
  - Video and audio generation including the in-house LTX-2 audio-video model
  - Asset editing: background removal, upscaling, vectorization, inpainting (PowerPaint), segmentation (FastSAM)
  - Visual workflow builder for batch generation and asset-pipeline automation
  - Pre-built apps for common creative tasks (character art, environments, UI, marketing creatives)
  - REST API with Basic Auth (Base64-encoded API key:secret) for programmatic generation, training, and asset management
  - Asynchronous job model with polling via /jobs and webhook callbacks
  - dryRun parameter for cost estimation before executing generation jobs
  - Unified compute-unit metering matching the web app pricing
  - Official Unity plugin for in-engine generation
  - Open-source companion projects: diffusers, LTX-2, PowerPaint, FastSAM, ai-toolkit, model-police
  - Full commercial licensing for generated assets on all paid plans
  - Enterprise SSO, SOC 2 Type II, governance, audit trail, custom integrations
  - Studio customers including Ubisoft, Unity, Scopely, and many mobile game developers
  sources:
  - https://www.scenario.com
  - https://docs.scenario.com
  - https://docs.scenario.com/docs/api-key-and-authentication
  - https://www.scenario.com/features/api
  - https://www.scenario.com/features/train
  - https://www.scenario.com/pricing
  - https://github.com/scenario-labs
  updated: '2026-05-25'
created: '2026-05-25T00:00:00.000Z'
modified: '2026-05-25'
position: Consuming
description: Scenario is a Paris- and San Francisco-headquartered AI platform for game asset generation
  founded in 2021 by Emmanuel de Maistre and Hervé Nivon. The Scenario REST API lets game studios and
  creative teams generate consistent, on-brand images, video, audio, and 3D assets, train custom LoRA models
  on their own reference art, automate batch asset pipelines, and integrate AI-generated visuals into
  production tools like Unity. Scenario aggregates 500+ AI models from 50+ providers behind a single
  workspace and API, with full commercial licensing for generated assets and enterprise SSO, SOC 2 Type II,
  and governance controls.
maintainers:
- FN: Kin Lane
  email: [email protected]
  X: apievangelist
  url: https://apievangelist.com
specificationVersion: '0.16'