Create images with AI models

June 3, 2025 (October 3, 2025)

Table of contents

  1. Model Capabilities
  2. Request Headers
  3. Request Body
  4. Responses
  5. Model
  6. Examples
  7. Try It

This endpoint creates new images using FLUX.1 Kontext, FLUX.1 Kontext Max, or Nano Banana / Gemini 2.5 Flash Image from text prompts with optional reference images.

Model Capabilities
Parameter FLUX.1 Kontext
flux (default)		 FLUX.1 Kontext Max
flux-premium		 Nano Banana / Gemini 2.5 Flash Image
nano-banana
referenceAssetId ✓ ✗ ✗
reference_strength ✓ ✗ ✗
style ✓ ✗ ✗

https://api.useapi.net/v1/ltxstudio/images/create

Request Headers 
Authorization: Bearer {API token}
Content-Type: application/json
# Alternatively you can use multipart/form-data
# Content-Type: multipart/form-data
Request Body 
{
  "prompt": "A serene mountain landscape at sunset",
  "aspectRatio": "16:9",
  "style": "cinematic",
  "shotType": "wide shot",
  "shotAngle": "eye-level",
  "seed": 123456
}
  • email is optional when only one account configured. However, if you have multiple accounts configured, this parameter becomes required.
  • prompt is required, text description for image generation (max 2000 characters)
  • location is optional, location description for the image (max 2000 characters).
  • weather is optional, weather conditions description (max 2000 characters).
  • lighting is optional, lighting description (max 2000 characters).
  • aspectRatio is optional, output image aspect ratio.
    Supported values: 16:9, 9:16, 1:1.
    Default: 16:9.
  • referenceAssetId is optional, asset ID for reference image to influence generation (see model capabilities table above). Use field fileId from POST assets/?type=reference-image or GET assets/?filter=images.
  • reference_strength is optional, strength of reference image influence 0-100 (see model capabilities table above).
    Default: 50.
  • style is optional, image style to apply (see model capabilities table above).
    Supported values: cinematic, vintage, low_key, indy, y2k, pop, grunge, dreamy, hand_drawn, 2d_novel, boost, scribble, film_noir, anime, 3d_cartoon, colored.
    Default: base (no style).
  • shotType is optional, type of shot for the image (e.g., “wide shot”, “close-up”, “medium shot”).
  • shotAngle is optional, camera angle for the shot.
    Supported values: eye-level, low-angle, over-the-shoulder, overhead, birds-eye-view.
  • seed is optional, random seed for reproducible results.
  • model is optional, the AI model to use for image generation.
    Supported values: flux, flux-premium, nano-banana.
    Default: flux.
  • pollForResult is optional, number of polling attempts to wait for completion (each attempt waits 3 seconds, up to 60 seconds total max) before sending job to the scheduler. For example, pollForResult: 5 will poll every 3 seconds for up to 15 seconds total. Supported values: 1-20. Default: immediate return with jobId.
  • maxJobs is optional, override the default maximum number of concurrent jobs.
  • replyUrl is optional, webhook URL for job completion notifications.
    See GET assets/jobId for response model.
  • replyRef is optional, custom reference for webhook identification.
Responses

  • 200 OK (Job Created)

    {
    "jobId": "email:[email protected]:7a34b821-9fd0-205e-d21b-4abc6f7839e7-type:image",
    "generationId": "gen_abc123def456"
}

  • 200 OK (pollForResult completed)

    {
    "status": {
        "type": "completed",
        "progress": 100,
        "artifact": {
            "assetUrl": "https://storage.googleapis.com/lt-infinity-prd/artifacts/vertex-ai/…",
            "expirationDateString": "1748919477350",
            "asset": {
                "type": "artifact",
                "fileId": "asset:3b18…-type:image/png",
                "mimeType": "image/png",
                "artifactSubtype": "vertex-ai"
            }
        }
    },
    "jobId": "email:[email protected]:7a34b821-9fd0-205e-d21b-4abc6f7839e7-type:image",
    "replyRef": "custom-reference-123",
    "replyUrl": "https://webhook.example.com/ltx-callback",
    "code": 200
}

  • 400 Bad Request

    {
  "error": "Error message",
  "code": 400
}

  • 401 Unauthorized

    {
  "error": "Unauthorized",
  "code": 401
}

  • 402 Payment Required

    {
  "error": "Insufficient credits",
  "code": 402
}
Model

Use GET assets/jobId to retrieve job status and results if they were not provided with the response.

{ // TypeScript, all fields are optional
    status: {
        type: 'active' | 'completed' | 'failed'
        progress?: number
        message?: string
        artifact?: {
            assetUrl: string
            expirationDateString: string
            asset: {
                type: string
                fileId: string
                mimeType: string
                artifactSubtype: string
            }
        }
    }
    jobId?: string
    generationId?: string
    replyRef?: string
    replyUrl?: string
    code?: number
}
Examples 
  • curl "https://api.useapi.net/v1/ltxstudio/images/create" \
   -H "Authorization: Bearer …" \
   -H "Content-Type: application/json" \
   -d '{
     "prompt": "A serene mountain landscape at sunset",
     "aspectRatio": "16:9",
     "style": "cinematic",
     "shotType": "wide shot",
     "shotAngle": "eye-level",
     "pollForResult": 10
   }'

  • const token = "API token";
const apiUrl = "https://api.useapi.net/v1/ltxstudio/images/create";

const response = await fetch(apiUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${token}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "prompt": "A serene mountain landscape at sunset",
    "aspectRatio": "16:9",
    "style": "cinematic",
    "shotType": "wide shot",
    "shotAngle": "eye-level",
    "pollForResult": 10
  })
});
const result = await response.json();
console.log("response", {response, result});

  • import requests
token = "API token"
apiUrl = "https://api.useapi.net/v1/ltxstudio/images/create"
headers = {
    "Authorization" : f"Bearer {token}",
    "Content-Type": "application/json"
}
data = {
    "prompt": "A serene mountain landscape at sunset",
    "aspectRatio": "16:9",
    "style": "cinematic",
    "shotType": "wide shot",
    "shotAngle": "eye-level",
    "pollForResult": 10
}
response = requests.post(apiUrl, headers=headers, json=data)
print(response, response.json())
Try It