Integration Recipes

Use this guide when you want to turn Lamina into a product feature, not just call a raw model. Each recipe below uses the same execution pattern:

discover the right app
inspect its schema
start an execution
receive results by webhook or polling

That makes the API predictable for application developers even when the underlying workflow changes.

The Real API Behind Every Recipe

The /v1 API has 24 endpoints across 9 groups. The core execution flow uses:

GET /v1/apps — discover apps
GET /v1/apps/{appId} — inspect inputs
POST /v1/apps/{appId}/runs — run
GET /v1/runs/{runId} — poll results

Additional groups — Intelligence, Publishing, Content, Templates, Assets, Account — extend what you can do after execution. See the full API Reference.

Core Contract

Capability need	Current executable Lamina endpoint
Start image, catalog, try-on, or video work	`POST /v1/apps/{appId}/runs`
Check job status	`GET /v1/runs/{runId}`
Stream job progress in real time	`GET /v1/runs/{runId}/stream`
Discover which app to call	`GET /v1/apps`
Verify the exact input schema	`GET /v1/apps/{appId}`
Intelligent content creation (agent-friendly)	`POST /v1/content/create`
Batch multiple creations	`POST /v1/content/batch`
Get brand context for grounded prompts	`GET /v1/intelligence/brand-context`
Publish to social channels	`POST /v1/publishing/publish`
Check credit balance	`GET /v1/account/usage`

Authentication

x-api-key: lma_your_api_key
Authorization: Bearer lma_your_api_key

Rate Limits

All /v1/* endpoints are currently limited to 100 requests per minute per IP. On 429 Too Many Requests, read these headers before retrying:

RateLimit-Limit
RateLimit-Remaining
RateLimit-Reset
Retry-After

Common Status Codes

Status	Meaning
`200`	Successful read
`202`	Execution accepted and queued
`400`	Invalid request body, webhook URL, or inputs
`401`	Missing or invalid API key
`403`	Workspace or app access denied
`404`	App or execution not found
`429`	Rate limit exceeded
`500`	Unexpected server-side failure

Example Public Apps By Capability

These are example public apps observed on April 11, 2026. Use them as capability anchors in docs or demos, but pin the exact appId you want to support in production and re-check its schema with GET /v1/apps/{appId} before you ship against it.

Capability	Example public app	Example appId
Single image generation	`Product Shots with Mood Board`	`ec7ec3ce-69b4-43c9-8eea-fe9752d679a4`
Batch catalog generation	`Premium Catalog 1.0`	`bbb17293-5fe7-4645-8c6e-0745bc28254d`
Batch catalog generation	`Swift Catalog Generation`	`de5cca6b-73aa-4e27-a714-3339024db15d`
Virtual try-on	`Product Try on`	`a76e85ec-20b4-4fbc-99ad-055423a868a2`
Video generation	`Eyewear Shoot (Multi-Shot 21s Video)`	`1afc70fd-cb66-4f44-847d-bdaf7e237be4`
Video generation	`Performance Marketing Video (V3) Sample`	`ec9b3525-4b72-4083-a6cb-00371672e128`

Ecommerce Image Generation

Use this pattern for:

product shots
background swaps
lifestyle scenes
hero images

Recommended backing app example: Product Shots with Mood Board

Typical integration flow

curl -H "Authorization: Bearer $LAMINA_API_KEY" \
  "https://app.uselamina.ai/v1/apps?search=product"

Then inspect the chosen app and use the returned parameter names exactly:

curl -H "Authorization: Bearer $LAMINA_API_KEY" \
  https://app.uselamina.ai/v1/apps/<appId>

curl -X POST \
  -H "Authorization: Bearer $LAMINA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": {
      "<parameter name from GET /v1/apps/{appId}>": "<value>"
    }
  }' \
  https://app.uselamina.ai/v1/apps/<appId>/runs

What developers usually send

a product image URL or a set of source images
optional reference imagery
a prompt or creative brief
styling or environment choices exposed as options

What to expect back

one or more generated image outputs
occasional text outputs for summaries or metadata
queued or running before final media is ready

Catalog And Merchandising Automation

Catalog workflows are usually run by commerce backends, merchant tooling, or creative ops teams that need consistent outputs across many products. Recommended backing app examples:

Premium Catalog 1.0
Swift Catalog Generation

For a concrete catalog payload, the existing Quick Start example uses:

front image URL
back image URL
model or style options such as gender, ethnicity, body type, and location

Example execution body:

{
  "inputs": {
    "Front": "https://example.com/front.jpg",
    "Back": "https://example.com/back.jpg",
    "Model Gender": "Female",
    "Location": "Studio"
  }
}

Send it to:

POST /v1/apps/{catalogAppId}/runs

Good fit for

marketplace seller onboarding
catalog enrichment pipelines
merchandising teams refreshing seasonal collections
internal creative production systems

Virtual Try-On

Try-on integrations usually combine shopper-uploaded imagery, mannequin imagery, or model imagery with garment assets supplied by a commerce system. Recommended backing app example: Product Try on Suggested discovery query:

curl -H "Authorization: Bearer $LAMINA_API_KEY" \
  "https://app.uselamina.ai/v1/apps?search=try on"

Expected input pattern:

one or more person or selfie image URLs
one or more garment image URLs
optional fit, pose, or styling fields depending on the app

Execution call:

curl -X POST \
  -H "Authorization: Bearer $LAMINA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": {
      "<selfie parameter>": "https://example.com/person.jpg",
      "<garment parameter>": "https://example.com/garment.jpg"
    }
  }' \
  https://app.uselamina.ai/v1/apps/<tryOnAppId>/runs

Common platform pattern

fetch the app schema at startup or cache it server-side
render the form dynamically for internal tooling or merchant portals
pass the resulting execution ID into your job UI
use webhooks for completion updates instead of aggressive polling

Video Generation

Video generation follows the same app-execution pattern, but jobs are more likely to be long-running and media-heavy. This is a good fit for product marketing tools, seller studios, and content platforms generating motion assets from still inputs. Recommended backing app examples:

Eyewear Shoot (Multi-Shot 21s Video)
Performance Marketing Video (V3) Sample

Suggested discovery query:

curl -H "Authorization: Bearer $LAMINA_API_KEY" \
  "https://app.uselamina.ai/v1/apps?search=video"

Common input pattern:

one or more source image URLs
optional product or motion brief text
optional aspect ratio, duration, or style fields from app metadata

Execution call:

curl -X POST \
  -H "Authorization: Bearer $LAMINA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": {
      "<image parameter>": "https://example.com/product.jpg",
      "<prompt parameter>": "Create a premium ecommerce product reel"
    }
  }' \
  "https://app.uselamina.ai/v1/apps/<videoAppId>/runs?webhook=https://your-server.com/callback"

Use webhooks in production for video jobs. They are often long-running enough that polling is only a fallback.

Job Status And Result Retrieval

Every capability above resolves to the same status check:

GET /v1/runs/{runId}

Use the run ID returned from POST /v1/apps/{appId}/runs. Poll every 3-5 seconds until the run reaches completed or failed. If you are using webhooks, verify the callback signature with:

GET /v1/webhooks/signing-key

Production Guidelines

If you are building a customer-facing integration or partner API on top of Lamina:

pin the appId values you support instead of relying on search at runtime
re-fetch app metadata when you deploy changes to a workflow or form
validate inputs against the latest parameter schema before execution
prefer webhooks for long-running image and video jobs
design your UI around execution states, not immediate outputs

The underlying API stays small on purpose. Most of the product-specific behavior lives in the apps you choose to expose.

​The Real API Behind Every Recipe

​Core Contract

​Authentication

​Rate Limits

​Common Status Codes

​Example Public Apps By Capability

​Ecommerce Image Generation

​Typical integration flow

​What developers usually send

​What to expect back

​Catalog And Merchandising Automation

​Good fit for

​Virtual Try-On

​Common platform pattern

​Video Generation

​Job Status And Result Retrieval

​Production Guidelines