OpenAIGPT Image 2 API
Next-gen GPT image model with arbitrary output dimensions and multi-image input.
Params
Billed at this model’s published rate.
Result

Your generations will appear here
Other models from OpenAI
Same vendor, same API call — the differences are below.
| Model | Use case | Price | Resolution | Duration | Added |
|---|---|---|---|---|---|
| GPT-6.1 Sol | Image → Text | from $0.10 / 1M cached in | — | — | Oct 2026 |
| GPT-6.1 Terra | Image → Text | from $0.05 / 1M cached in | — | — | Oct 2026 |
| GPT Image 2.6 Flare | Text → Image | No rate | 1K · 2K · 4K | — | Oct 2026 |
| GPT Image 2.6 Sunburst | Text → Image | from $40.00 / 1M output img tok | 1K · 2K · 4K | — | Oct 2026 |
| GPT-6 Luna | Image → Text | from $0.011 / 1M cached in | — | — | Sep 2026 |
| GPT-6 Sol | Image → Text | from $0.22 / 1M cached in | — | — | Sep 2026 |
| GPT-4.1 Mini | Image → Text | from $0.44 / gen | — | — | Sep 2026 |
| GPT-4.1 Nano | Image → Text | from $0.11 / gen | — | — | Sep 2026 |
Install the SDK
TypeScript targets Node 20+ and ships with types; Python needs 3.10+ and is async. Over REST there is nothing to install: call https://api.picsart.com from any HTTP client.
npm install @picsart/ai-sdkpip install picsart-ai-sdkAuthenticate
Send your Picsart API key as a bearer token. The SDK does it for you once the client is created.
import { createClient } from '@picsart/ai-sdk';
const ai = createClient({
apiKey: process.env.PICSART_API_KEY, // sent as: Authorization: Bearer <key>
apiUrl: 'https://api.picsart.com',
});import os
from picsart_ai_sdk import create_client
ai = create_client(
api_key=os.environ["PICSART_API_KEY"], # sent as: Authorization: Bearer <key>
api_url="https://api.picsart.com",
)Authorization: Bearer <PICSART_API_KEY>Make a request
Call the model by its id. Over REST, one endpoint serves every model: POST /workflows/v1/models/execute with the model id and its input in the body. The outer params is the envelope every workflow takes; the inner one is this model's input, with the same names generate() takes.
import { createClient } from '@picsart/ai-sdk';
const ai = createClient({
apiKey: process.env.PICSART_API_KEY,
apiUrl: 'https://api.picsart.com',
});
const result = await ai.generate('gpt-image-2', {
prompt: "A serene mountain lake at golden hour, ultra detailed",
aspectRatio: "1:1"
});
console.log(result.url); // image URLimport asyncio
import os
from picsart_ai_sdk import create_client
async def main() -> None:
async with create_client(
api_key=os.environ["PICSART_API_KEY"],
api_url="https://api.picsart.com",
) as ai:
result = await ai.generate("gpt-image-2", {
"prompt": "A serene mountain lake at golden hour, ultra detailed",
"aspectRatio": "1:1",
})
print(result.url) # image URL
asyncio.run(main())curl -X POST 'https://api.picsart.com/workflows/v1/models/execute' \
-H 'Authorization: Bearer $PICSART_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"params": {
"model": "gpt-image-2",
"params": {
"prompt": "A serene mountain lake at golden hour, ultra detailed",
"aspectRatio": "1:1"
}
}
}'Parameters
6 parameters, the same for the SDK and for the inner params over REST. Required ones must be supplied; the rest fall back to their defaults.
| Parameter | Type | Required | Default | Details |
|---|---|---|---|---|
promptWhat to make, in plain language: the subject, style and composition. With an input image or video, what to change. | text | yes | — | max 32000 chars |
aspectRatioShape of the output as width:height. An auto or adaptive option follows the input image. | enum | no | 1:1 | 1:1, 3:2, 2:3, 16:9, 9:16, 4:3, 3:4, auto (follows the input) |
qualityQuality tier. Higher is slower and costs more. | enum | no | high | high, medium, low |
outputFormatFile format of the result. | enum | no | png | png, jpeg, webp |
countHow many results to make in one call. Each one is charged. | enum | no | 1 | 1, 2, 4, 6, 8, 10 |
imageUrlsInput images, as URLs: the image to edit, or references for subject, style or composition. | file (image[]) | no | — | — |
Response
generate() resolves once the job completes. One or more image URLs. Over REST the output is at response.result, inside the gateway's status envelope with the task id, its status and the amount charged.
{
"items": [
{
"url": "https://cdn.picsart.com/…/result"
}
],
"model": "gpt-image-2"
}{
"status": "success",
"response": {
"id": "task_abc123",
"status": "COMPLETED",
"result": {
"url": "https://cdn.picsart.com/…/result",
"items": [
{
"url": "https://cdn.picsart.com/…/result"
}
],
"model": "gpt-image-2"
}
}
}Overview
Alongside the unified model APIs, we expose compatibility APIs that take each vendor's original parameters exactly as the vendor defines them — nothing renamed, nothing reshaped on the way through.
That makes them the shortest path onto Picsart if you already work with the vendor directly: the request bodies you've already written keep working as they are. You keep their parameter names and defaults, and you get the vendor's full parameter set rather than the subset that is shared across every model.
The cost is that a request is written for one vendor — switching models later means rewriting it, and results come back in the vendor's own shape. When you'd rather write once and change models freely, use the unified API.
Make a request
Call the workflow with ai.apis.run() in TypeScript or Python, or hit /workflows/{workflow}/execute directly — params is passed through untouched either way.
These endpoints are addressed by workflow name rather than model id: the one in this model's header, since one model runs as one workflow. Authentication is unchanged — your Picsart API key as a bearer token (see Authentication).
import { createClient, ApiRunMode } from '@picsart/ai-sdk';
const ai = createClient({
apiKey: process.env.PICSART_API_KEY,
apiUrl: 'https://api.picsart.com',
});
// Calls the 'openai-images-generate' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('openai-images-generate', {
model: "dall-e-3",
prompt: "A serene mountain lake at golden hour, ultra detailed"
}, {
mode: ApiRunMode.SYNC,
});
console.log(result); // workflow-specific output
console.log(usage?.credits); // amount charged, in $import asyncio
import os
from picsart_ai_sdk import ApiRunMode, create_client
async def main() -> None:
async with create_client(
api_key=os.environ["PICSART_API_KEY"],
api_url="https://api.picsart.com",
) as ai:
# Calls the 'openai-images-generate' workflow directly — params are sent as-is.
response = await ai.apis.run("openai-images-generate", {
"model": "dall-e-3",
"prompt": "A serene mountain lake at golden hour, ultra detailed",
}, mode=ApiRunMode.SYNC)
print(response["result"]) # workflow-specific output
print((response.get("usage") or {}).get("credits")) # amount charged, in $
asyncio.run(main())curl -X POST 'https://api.picsart.com/workflows/openai-images-generate/execute' \
-H 'Authorization: Bearer $PICSART_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"params": {
"model": "dall-e-3",
"prompt": "A serene mountain lake at golden hour, ultra detailed"
}
}'Parameters
13 parameters, sent inside params. These are the vendor's own names, so they line up one-for-one with the vendor's documentation. Required ones must be supplied; the rest fall back to their defaults.
| Parameter | Type | Required | Default | Details |
|---|---|---|---|---|
modelModel to be used for image generation | string | yes | — | dall-e-3gpt-image-1gpt-image-1.5gpt-image-2gpt-image-2.5-flaregpt-image-2.5-sunburstgpt-image-2.6-sunburstgpt-image-2.6-flare |
promptText prompt for generating the image | string | yes | — | — |
nNumber of images to generate. Note: 'dall-e-3' supports only one image per request. | number | no | 1 | — |
sizeSize of the generated image. The size of the generated images. Must be one of 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto (default value) for gpt-image-1,and one of 1024x1024, 1792x1024, or 1024x1792 for dall-e-3. gpt-image-2.5-flare / gpt-image-2.5-sunburst additionally accept custom WIDTHxHEIGHT sizes: both sides divisible by 16, aspect ratio between 1:3 and 3:1, up to 3840x2160. The ImageGen 2.6 models (gpt-image-2.6-sunburst / gpt-image-2.6-flare) are controlled by reasoning.effort and temperature rather than quality. | string | no | 1024x1024 | — |
qualityQuality of the generated image. xhigh and max are only supported by the gpt-image-2.5 models. Ignored by the ImageGen 2.6 models (gpt-image-2.6-sunburst / gpt-image-2.6-flare), which are tiered by reasoning.effort instead. | string | no | high | lowmediumhighxhighmax |
output_formatOutput format of the generated image. | string | no | png | pngwebpjpeg |
output_compressionOutput compression of the generated image. | number | no | 100 | 0–100 |
moderationModeration of the generated image. | string | no | auto | — |
backgroundBackground of the generated image. | string | no | opaque | — |
partial_imagesThe number of partial images to generate. This parameter is used for streaming responses that return partial images. Value must be between 0 and 3. When set to 0, the response will be a single image sent in one streaming event. | number | no | — | — |
reasoningPlanning controls for the ImageGen 2.6 models (gpt-image-2.6-sunburst / gpt-image-2.6-flare). Ignored by the other models. | object | no | — | — |
└ effortHow much the model plans before it renders. Start with high; raise for dense text or complex layouts, lower for quick, precise edits. | string | no | — | lowmediumhighxhighmax |
temperatureSampling temperature for the ImageGen 2.6 models; higher values explore more variation on the same prompt. Ignored by the other models. | number | no | — | — |
options | object | no | — | — |
└ safety_checksSafety check settings | object | no | — | — |
└ enabledWhether to run content moderation. Defaults to true. | boolean | no | — | — |
└ driveSave result to Picsart Drive | object | no | — | — |
└ nameFile name in Picsart Drive | string | yes | — | — |
└ attributesCustom attributes to attach to the file | object | no | — | — |
└ folderTarget folder in Picsart Drive | object | no | — | — |
└ inputs_transformationInput transformation settings | object | no | — | — |
└ downscale_oversized_imagesWhether to downscale oversized input images. Defaults to false. | boolean | no | — | — |
Response
Over HTTP the output arrives inside a status envelope, at response.result. ai.apis.run() unwraps that envelope for you and resolves to { result, usage } instead. Either way the result itself is the vendor's own shape.
{
"result": {
"created": "…",
"data": [
{
"url": "https://cdn.picsart.com/…/result.jpg",
"mimeType": "image/jpeg",
"driveFile": {
"id": "wf_abc123"
}
}
]
}
}{
"status": "success",
"response": {
"result": {
"created": "…",
"data": [
{
"url": "https://cdn.picsart.com/…/result.jpg",
"mimeType": "image/jpeg",
"driveFile": {}
}
]
}
}
}Rates
What this model costs per generation, in USD. Every row is an exact rate — the columns are the settings that change it.
Charged after the request finishes, on what it actually used.
| Tier | Rate |
|---|---|
| Output image | $40.00 / 1M output image tokens |
Estimated pricing
What a request is estimated at when it starts, before its usage is known. The final charge follows the usage rates above.
| Tier | Rate |
|---|---|
| Low | $0.0066 / generation |
| Medium | $0.0583 / generation |
| High | $0.1815 / generation |