gpt-image-2/text-to-image-official-stable

POST

/openapi/v2/rhart-image-g-2-official/text-to-image

Next-generation multimodal model that breaks traditional sizing limits. It natively supports custom resolutions up to 3840px and offers exceptional semantic understanding. Whether generating quick conceptual drafts or highly detailed cinematic posters, it flawlessly captures lighting, textures, and compositional details, making it the ultimate engine for customized applications like e-commerce and gaming assets.

Request

Authorization

Header Params

Body Params application/jsonRequired

Example

{
    "prompt": "A high-end commercial photography poster. In the exact center is a minimalist, matte white smart speaker. It rests on a light gray terrazzo countertop. The background is a clean, low-saturation beige wall. Soft, natural light hits from a 45-degree angle above, casting a distinct yet soft-edged, elongated shadow on the counter. The overall composition is clean, airy, and ultra-minimalist, with ample negative space on the right side.",
    "aspectRatio": "16:9",
    "resolution": "2k",
    "quality": "medium"
}

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://www.runninghub.ai/openapi/v2/rhart-image-g-2-official/text-to-image' \
--header 'Authorization: Bearer [Your API KEY]' \
--header 'Authorization: Bearer [Your API KEY]' \
--header 'Content-Type: application/json' \
--data-raw '{
    "prompt": "A high-end commercial photography poster. In the exact center is a minimalist, matte white smart speaker. It rests on a light gray terrazzo countertop. The background is a clean, low-saturation beige wall. Soft, natural light hits from a 45-degree angle above, casting a distinct yet soft-edged, elongated shadow on the counter. The overall composition is clean, airy, and ultra-minimalist, with ample negative space on the right side.",
    "aspectRatio": "16:9",
    "resolution": "2k",
    "quality": "medium"
}'

Responses

🟢200成功

application/json

Task result query endpoint: /openapi/v2/query

Body

Examples

Submit response exampleTask success response example

{
    "taskId": "2013508786110730241",
    "status": "RUNNING",
    "errorCode": "",
    "errorMessage": "",
    "results": null,
    "clientId": "f828b9af25161bc066ef152db7b29ccc",
    "promptTips": "{\"result\": true, \"error\": null, \"outputs_to_execute\": [\"4\"], \"node_errors\": {}}"
}

Modified at 2026-04-30 12:00:08

nano-banana/text-to-image-channel-low-price

gpt-image-2.0/text-to-image-channel-low-price