OpenAI: GPT Image 2 API
GPT Image 2 API exposes OpenAI's current image generation model through APINEED for production visuals that need stronger instruction following, layouts, text rendering, and flexible output sizes.
OpenAI describes GPT Image 2 as a fast, high-quality model for generation and editing with high-fidelity image inputs. APINEED submits it through POST /v1/media/generations, returns a durable task ID immediately, and exposes completed image URLs through the task resource instead of holding one HTTP request open.
Playground
Generate with OpenAI: GPT Image 2, review the output, and use the same request shape in your application.

Request preview
{
"model": "gpt-image-2",
"workflow": "text_to_image",
"input": {
"prompt": "A refined product photograph with natural lighting, realistic materials and a clean background."
},
"output": {
"count": 1
}
}Providers
OpenAI documents the broader model capability. APINEED separately defines the model ID, endpoint, parameter whitelist, authentication, and billing behavior shown on this page.
Discount
Compare the published baseline with APINEED pricing for GPT Image 2 API. Final generation cost follows completed server usage. [2][3]
Availability
APINEED monitors GPT Image 2 API availability. Applications should preserve request and task IDs and handle upstream failures explicitly.
Precise layouts and text
OpenAI highlights stronger layouts, multilingual text rendering, and instruction following for posters, diagrams, interfaces, and campaign assets. [1][2]
Generation and editing model
The official model supports text-to-image plus image editing with high-fidelity image inputs and flexible output dimensions. [1][2]
Asynchronous task lifecycle
APINEED returns a task ID without holding the browser connection open, so slow image generation is not tied to a single proxy timeout window. [3]
Direct object-storage delivery
Completed task records expose short-lived object-storage URLs, so applications download the image directly instead of proxying the full file through APINEED. [3]
Prompts for production-ready image output
Name the destination. State whether the image is a poster, product page asset, thumbnail, presentation graphic, or social format.
Write exact copy. Provide required text verbatim and describe hierarchy, alignment, and typographic character.
Poll by task ID. Persist the returned task ID and poll until succeeded or failed before reading outputs[].url.
GPT Image 2 API Gallery
Quick Start
Call GPT Image 2 with the verified APINEED endpoint and model-specific request shape.
Create an API key
Store your APINEED key server-side as API_NEED_API_KEY.
export API_NEED_API_KEY=sk-apineed-v1-...Send the request
Use gpt-image-2 with POST /v1/media/generations.
curl https://apineed.com/v1/media/generations \
-H "Authorization: Bearer $API_NEED_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2",
"workflow": "text_to_image",
"input": {
"prompt": "A refined product photograph with natural lighting, realistic materials and a clean background."
},
"output": {
"count": 1
}
}'Poll the task
Save id, then poll GET /v1/media/generations/{id} every few seconds until the task is succeeded or failed.
curl https://apineed.com/v1/media/generations/$TASK_ID -H "Authorization: Bearer $API_NEED_API_KEY"const images = task.outputs.filter((item) => item.type === "image").map((item) => item.url);GPT Image 2 API Endpoint
Create an asynchronous image task, then use its task ID to retrieve status and direct object-storage output URLs.
/v1/media/generations- Authorization
- Bearer $API_NEED_API_KEY
- Content-Type
- application/json
- HTTP-Referer
- optional - your site URL, for rankings
- Model
- gpt-image-2
/v1/media/generations/{id}- Authorization
- Bearer $API_NEED_API_KEY
- Content-Type
- application/json
- HTTP-Referer
- optional - your site URL, for rankings
- Model
- gpt-image-2
Parameters
These controls follow APINEED's current DTO and adapter behavior. Unsupported upstream-only fields are intentionally omitted.
| Name | Type | Values | Description |
|---|---|---|---|
model | string | Required | Use gpt-image-2. |
workflow | string | text_to_image, image_edit | Use an APINEED-supported workflow. |
input.prompt | string | Required | Describe the requested image. |
input.assets | array | Required for image_edit | Image URLs with role input_image; up to 1 references. |
output.count | integer | 1–10 | Published by the backend capability contract. |
OpenAI: GPT Image 2 API questions
Practical answers for choosing, integrating, pricing, and operating the GPT Image 2 API on APINEED.
What is GPT Image 2 API best suited for?
OpenAI positions GPT Image 2 for production workflows requiring accurate instructions, readable text, polished layouts, localization, realistic imagery, and outputs that need less manual cleanup. [1][2]
Which APINEED endpoint does GPT Image 2 use?
Submit gpt-image-2 to POST /v1/media/generations, save the returned id, then poll GET /v1/media/generations/{id} until the status is succeeded or failed. [3]
How many images can one request return?
The verified provider-neutral contract currently accepts output.count set to 1. Submit separate tasks when you need independent variations. [3]
Which generation controls are available?
The asynchronous APINEED page exposes verified resolution, PNG or JPEG format, and a single output. [3]
Can GPT Image 2 edit an uploaded image in this playground?
Yes. The browser uploads local images directly to temporary private object storage and submits those URLs as input.assets with the input_image role. Blob URLs are never sent upstream. [2][3]
How should applications parse GPT Image 2 results?
Wait for status succeeded, then read outputs[].url. Each URL is short-lived and points directly to object storage, so download or copy the result before it expires. [3]
What happens when upstream generation is unavailable?
The public integration guide remains crawlable, while the registry can pause Generate. Production callers should preserve the request ID and surface the upstream error instead of retrying indefinitely. [3]
How to deploy OpenAI: GPT Image 2
Connect OpenAI: GPT Image 2 to your application through the APINEED media API.
Add credits
Add APINEED credits before submitting a billable generation.
Create an API key
Create and securely store an APINEED API key.
Configure the endpoint
Send gpt-image-2 requests to /v1/media/generations.
Track the task
Poll the returned task ID and store the completed image URL from outputs[].
