IdeogramIdeogram 4.5 Precise Edit API
Ideogram 4.5 precise edit — change one area and keep the rest of the image pixel-intact, optionally with a mask and reference images. With a context window, edits a region of up to 2K inside images of 8K, 16K or larger at their original resolution.
Params
Billed at this model’s published rate.
Result

Your generations will appear here
Other models from Ideogram
Same vendor, same API call — the differences are below.
| Model | Use case | Price | Resolution | Duration | Added |
|---|---|---|---|---|---|
| Ideogram Vector | Text → Image | from $0.033 / gen | — | — | Oct 2026 |
| Ideogram Vectorize | Image → Image | from $0.033 / gen | — | — | Oct 2026 |
| Ideogram 4.5 | Text → Image | from $0.002133 / gen | 1K · 2K | — | Sep 2026 |
| Ideogram P-Image | Text → Image | from $0.0033 / gen | 1K · 2K | — | Jul 2026 |
| Ideogram 4.0 | Text → Image | from $0.033 / gen | 1K · 2K | — | Jun 2026 |
| Ideogram Character | Image → Image | from $0.10 / gen | — | — | Feb 2026 |
| Ideogram v3 | Text → Image | from $0.03 / gen | — | — | Feb 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('ideogram-4-5-precise-edit', {
prompt: "A serene mountain lake at golden hour, ultra detailed",
startFrame: "https://cdn.example.com/input.jpg"
});
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("ideogram-4-5-precise-edit", {
"prompt": "A serene mountain lake at golden hour, ultra detailed",
"startFrame": "https://cdn.example.com/input.jpg",
})
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": "ideogram-4-5-precise-edit",
"params": {
"prompt": "A serene mountain lake at golden hour, ultra detailed",
"startFrame": "https://cdn.example.com/input.jpg"
}
}
}'Parameters
9 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 10000 chars |
startFrameThe first frame, as an image URL. The video starts on this image. | file (image) | yes | — | — |
maskA mask image, as a URL, marking where the edit applies. | file (image) | no | — | — |
contextWindowContext Window | text | no | — | e.g. "none | auto | y_min,x_min,y_max,x_max, e.g. 2080,2464,3552,4896" |
imageUrlsInput images, as URLs: the image to edit, or references for subject, style or composition. | file (image[]) | no | — | — |
qualityQuality tier. Higher is slower and costs more. | enum | no | medium | very_low, low, medium, high |
countHow many results to make in one call. Each one is charged. | enum | no | 1 | 1, 2, 3, 4, 5, 6, 7, 8 |
seedSeed for the random generator. The same seed and inputs repeat a result; leave it out for a random one. | range | no | — | 0–2147483647 (step 1) |
enableCopyrightDetectionCheck the result against copyrighted material. | boolean | no | false | — |
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": "ideogram-4-5-precise-edit"
}{
"status": "success",
"response": {
"id": "task_abc123",
"status": "COMPLETED",
"result": {
"url": "https://cdn.picsart.com/…/result",
"items": [
{
"url": "https://cdn.picsart.com/…/result"
}
],
"model": "ideogram-4-5-precise-edit"
}
}
}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 'ideogram/v4.5/precise-edit' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('ideogram/v4.5/precise-edit', {
image: "https://example.com/car.png",
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 'ideogram/v4.5/precise-edit' workflow directly — params are sent as-is.
response = await ai.apis.run("ideogram/v4.5/precise-edit", {
"image": "https://example.com/car.png",
"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/ideogram/v4.5/precise-edit/execute' \
-H 'Authorization: Bearer $PICSART_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"params": {
"image": "https://example.com/car.png",
"prompt": "A serene mountain lake at golden hour, ultra detailed"
}
}'Parameters
11 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 |
|---|---|---|---|---|
imageURL of the source image to edit. JPEG, PNG or WebP, at most 50 MB and 67,108,864 px (8192x8192). The output has the source's width and height. Without a context_window the edit covers the whole image, scaled down to fit 2048x2048; with one, only that region is edited at full resolution. | string | yes | — | e.g. https://example.com/car.png |
maskMask URL. Must match the source dimensions and contain black and white: black is edited, white is preserved. | string | no | — | e.g. https://example.com/mirror-mask.png |
context_windowRegion to edit; everything outside it comes back untouched at the original resolution. `none` (default): the whole image, scaled down to fit 2048x2048. `auto`: requires a mask; the window is fitted around the masked area at full resolution. Or an explicit `y_min,x_min,y_max,x_max` region in pixels (rows first, origin top-left, max exclusive): at least 256 px per side, at most 2048x2048 px in area, aspect ratio 1:6–6:1, inside the image. A mask may then select only pixels inside the region. | string | no | none | e.g. 2080,2464,3552,4896 |
reference_imagesReference image URLs: at most 4, or 3 with a mask. | string[] | no | — | — |
promptThe edit instruction | string | yes | — | max 10000 chars |
qualityRendering quality; higher takes longer and costs more. very_low is the fastest and cheapest. | string | no | medium | very_lowlowmediumhigh |
num_imagesNumber of images to generate | number | no | 1 | 1–8 |
seedRandom seed for reproducible results | number | no | — | — |
enable_copyright_detectionRun copyright detection on the outputs. Adds latency; flagged images are dropped as unsafe. | boolean | no | — | — |
storageOptional storage details specifying where to copy the result file, if provided | object | no | — | — |
└ destinationDestination bucket name | string | yes | — | e.g. editing-temp |
optionsOptions controlling safety checks and drive integration | 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 | — | — |
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": 0,
"data": [
{
"seed": 0,
"prompt": "…",
"resolution": "…",
"url": "https://cdn.picsart.com/…/result.jpg",
"is_image_safe": true,
"mimeType": "image/jpeg",
"driveFile": {
"id": "wf_abc123"
}
}
],
"generation_id": "wf_abc123",
"seed": 0
}
}{
"status": "success",
"response": {
"id": "wf_abc123",
"status": "COMPLETED",
"result": {
"created": 0,
"data": [
{
"seed": 0,
"prompt": "…",
"resolution": "…",
"url": "https://cdn.picsart.com/…/result.jpg",
"is_image_safe": true,
"mimeType": "image/jpeg",
"driveFile": {}
}
],
"generation_id": "wf_abc123",
"seed": 0
}
}
}Rates
What this model costs per generation, in USD. Every row is an exact rate — the columns are the settings that change it.
| Tier | Use case | Rate |
|---|---|---|
| Very low | Any | $0.002133 / generation |
| Very high | Image → image | $0.03 / generation |
| Low | Image → image | $0.033 / generation |
| Medium | Image → image | $0.06 / generation |
| High | Image → image | $0.20 / generation |