GPT Image 2 Pro
/v1/tasks All models are called through the Unified Async API POST /v1/tasks endpoint; only the input fields differ (see input parameters below).
Model summary
| Model name | gpt-image-2-pro |
|---|---|
| Type | Image generation (text-to-image Pro) |
| Endpoint | POST /v1/tasks |
| Pricing | See HiAPI Pricing |
GPT Image 2 Pro is a higher-fidelity text-to-image model for English prompts, brand visuals, poster layouts, and 2K delivery.
Production guidance
- For production, pass callback.url at the top level of the request body so HiAPI can notify your service when the task reaches a terminal state.
- GET /v1/tasks/:id is better for local debugging, low-volume jobs, or fallback reconciliation if a callback is missed.
- Use callback.when=final. Both success and fail are terminal states, so your service should deduplicate by taskId.
Best suited for
Use detailed English prompts to describe subject, lighting, material, composition, and text hierarchy.
promptFor ad posters, product hero images, cover assets, and higher-polish commercial visuals.
promptresolutionDeliver the same creative direction into square, portrait, landscape, and ultrawide placements.
aspect_ratioUse when you need more detail than 1K for final image delivery.
resolutionRequest parameters
model string required Fixed value gpt-image-2-pro.
input object required Business parameters for GPT Image 2 Pro text-to-image generation.
prompt string required Image generation prompt, up to 20000 characters. English prompts are more stable.
aspect_ratio enum optional Output image aspect ratio.
resolution enum optional Output resolution tier.
callback object optional Optional callback configuration. In production, pass callback.url so HiAPI can notify your service when the task reaches a terminal state.
url string required HTTPS URL that receives terminal task notifications.
when enum optional Callback trigger timing. Use final for terminal-state notifications.
Example requests
Use an English prompt for a stable commercial poster.
{
"model": "gpt-image-2-pro",
"input": {
"prompt": "A premium editorial product poster for a matte black wireless speaker, precise typography, studio lighting, clean composition",
"aspect_ratio": "4:5",
"resolution": "2K"
}
}Create the task, then wait for callback.url to receive the terminal notification.
{
"model": "gpt-image-2-pro",
"input": {
"prompt": "A cinematic product campaign image for a silver smart watch, minimal set design, soft reflections",
"aspect_ratio": "16:9",
"resolution": "2K"
},
"callback": {
"url": "https://your-domain.com/hiapi/callback",
"when": "final"
}
}Getting the result
- The response returns a taskId immediately without waiting for generation to finish.
- In production, prefer waiting for callback.url to receive the terminal notification. For local debugging, poll GET /v1/tasks/:id.
- When status=success, download the generated image from output[].url.
- When status=fail, fix the request based on the returned error instead of retrying the same invalid payload.