OVIOVI API
Straightforward text/image-to-video at 720p with broad style coverage.
Params
Billed at this model’s published rate.
Result

Your generations will appear here
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('ovi', {
prompt: "A serene mountain lake at golden hour, ultra detailed"
});
console.log(result.url); // video 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("ovi", {
"prompt": "A serene mountain lake at golden hour, ultra detailed",
})
print(result.url) # video 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": "ovi",
"params": {
"prompt": "A serene mountain lake at golden hour, ultra detailed"
}
}
}'Async (submit & poll)
This model can run longer than the sync limit (~20s). generate() waits for you; to hold on to the job instead, submit it and poll. Over REST, send it to /workflows/v1/models/submit and poll /workflows/v1/models/{taskId}/result until response.status is COMPLETED or FAILED.
import { createClient } from '@picsart/ai-sdk';
const ai = createClient({
apiKey: process.env.PICSART_API_KEY,
apiUrl: 'https://api.picsart.com',
});
// Returns the generation id at once — store it to pick the job up later.
const generationId = await ai.submit('ovi', {
prompt: "A serene mountain lake at golden hour, ultra detailed"
});
// Polls until the job completes; throws if it fails or is cancelled.
const result = await ai.result('ovi', generationId);
console.log(result.url); // video 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:
# Returns the generation id at once — store it to pick the job up later.
generation_id = await ai.submit("ovi", {
"prompt": "A serene mountain lake at golden hour, ultra detailed",
})
# Polls until the job completes; raises ApiError if it fails or is cancelled.
result = await ai.result("ovi", generation_id)
print(result.url) # video URL
asyncio.run(main())# 1. Submit the job
curl -X POST 'https://api.picsart.com/workflows/v1/models/submit' \
-H 'Authorization: Bearer $PICSART_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"params": {
"model": "ovi",
"params": {
"prompt": "A serene mountain lake at golden hour, ultra detailed"
}
}
}'
# → { "status": "success", "response": { "id": "task_abc123" } }
# 2. Poll until response.status is COMPLETED
curl 'https://api.picsart.com/workflows/v1/models/task_abc123/result' \
-H 'Authorization: Bearer $PICSART_API_KEY'Parameters
3 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, composition and motion. With an input image or video, what to change. | text | yes | — | — |
size | enum | no | 16:9 | 9:16, 16:9, 1:1, 9:16+, 16:9+, 2:5, 5:2 |
imageUrlsInput images, as URLs: frames to animate, or references for subject, style or composition. | file (image[]) | no | — | — |
Response
generate() resolves once the job completes. A video URL. 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": "ovi"
}{
"status": "success",
"response": {
"id": "task_abc123",
"status": "COMPLETED",
"result": {
"url": "https://cdn.picsart.com/…/result",
"items": [
{
"url": "https://cdn.picsart.com/…/result"
}
],
"model": "ovi"
}
}
}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 'ovi' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('ovi', {
prompt: "A close-up of someone's face as they pet a cat, their hands stroking the soft fur in the foreground. Their affectionate expression shows as the cat purrs contentedly in their lap. They say, <S>This little guy has been with me for eight years now. He knows exactly when I need comfort. Animals are pretty amazing that way.<E>.<AUDCAP>Affectionate voice with cat purring and gentle petting sounds<ENDAUDCAP>"
}, {
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 'ovi' workflow directly — params are sent as-is.
response = await ai.apis.run("ovi", {
"prompt": "A close-up of someone's face as they pet a cat, their hands stroking the soft fur in the foreground. Their affectionate expression shows as the cat purrs contentedly in their lap. They say, <S>This little guy has been with me for eight years now. He knows exactly when I need comfort. Animals are pretty amazing that way.<E>.<AUDCAP>Affectionate voice with cat purring and gentle petting sounds<ENDAUDCAP>",
}, 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/ovi/execute' \
-H 'Authorization: Bearer $PICSART_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"params": {
"prompt": "A close-up of someone's face as they pet a cat, their hands stroking the soft fur in the foreground. Their affectionate expression shows as the cat purrs contentedly in their lap. They say, <S>This little guy has been with me for eight years now. He knows exactly when I need comfort. Animals are pretty amazing that way.<E>.<AUDCAP>Affectionate voice with cat purring and gentle petting sounds<ENDAUDCAP>"
}
}'Async (submit & poll)
This model can run longer than the sync limit (~20s). In the SDK, ai.apis.run() with ApiRunMode.ASYNC polls for you; over HTTP, submit and poll yourself.
import { createClient, ApiRunMode } from '@picsart/ai-sdk';
const ai = createClient({
apiKey: process.env.PICSART_API_KEY,
apiUrl: 'https://api.picsart.com',
});
// mode: ASYNC submits the job and polls under the hood — you just await.
const { result } = await ai.apis.run('ovi', {
prompt: "A close-up of someone's face as they pet a cat, their hands stroking the soft fur in the foreground. Their affectionate expression shows as the cat purrs contentedly in their lap. They say, <S>This little guy has been with me for eight years now. He knows exactly when I need comfort. Animals are pretty amazing that way.<E>.<AUDCAP>Affectionate voice with cat purring and gentle petting sounds<ENDAUDCAP>"
}, {
mode: ApiRunMode.ASYNC,
});
console.log(result);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:
# mode=ASYNC submits the job and polls under the hood — you just await.
response = await ai.apis.run("ovi", {
"prompt": "A close-up of someone's face as they pet a cat, their hands stroking the soft fur in the foreground. Their affectionate expression shows as the cat purrs contentedly in their lap. They say, <S>This little guy has been with me for eight years now. He knows exactly when I need comfort. Animals are pretty amazing that way.<E>.<AUDCAP>Affectionate voice with cat purring and gentle petting sounds<ENDAUDCAP>",
}, mode=ApiRunMode.ASYNC)
print(response["result"])
asyncio.run(main())# 1. Submit the job
curl -X POST 'https://api.picsart.com/workflows/ovi/submit' \
-H 'Authorization: Bearer $PICSART_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"params": {
"prompt": "A close-up of someone's face as they pet a cat, their hands stroking the soft fur in the foreground. Their affectionate expression shows as the cat purrs contentedly in their lap. They say, <S>This little guy has been with me for eight years now. He knows exactly when I need comfort. Animals are pretty amazing that way.<E>.<AUDCAP>Affectionate voice with cat purring and gentle petting sounds<ENDAUDCAP>"
}
}'
# → { "status": "success", "response": { "id": "wf_abc123" } }
# 2. Poll until response.status is COMPLETED
curl 'https://api.picsart.com/workflows/ovi/wf_abc123/result' \
-H 'Authorization: Bearer $PICSART_API_KEY'Parameters
8 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 |
|---|---|---|---|---|
enable_safety_checkerAuthorized callers may set false to request relaxed screening. | boolean | no | true | — |
resolutionResolution of the generated video in W:H format. One of (512x992, 992x512, 960x512, 512x960, 720x720, or 448x1120). | string | no | 992x512 | 512x992992x512960x512512x960720x720448x11201120x448 |
seedRandom seed for reproducibility. If None, a random seed is chosen. | integer | no | — | — |
promptThe text prompt to guide video generation. | string | yes | — | e.g. A close-up of someone's face as they pet a cat, their hands stroking the soft fur in the foreground. Their affectionate expression shows as the cat purrs contentedly in their lap. They say, <S>This little guy has been with me for eight years now. He knows exactly when I need comfort. Animals are pretty amazing that way.<E>.<AUDCAP>Affectionate voice with cat purring and gentle petting sounds<ENDAUDCAP> |
negative_promptNegative prompt for video generation. | string | no | jitter, bad hands, blur, distortion | — |
audio_negative_promptNegative prompt for audio generation. | string | no | robotic, muffled, echo, distorted | — |
num_inference_stepsThe number of inference steps. | integer | no | 30 | 1–50 |
optionsPlatform-specific options for safety checks and Picsart Drive integration. | object | no | — | — |
└ safety_checksSafety check configuration. | object | no | — | — |
└ enabledEnable or disable text safety checks. Defaults to true. | boolean | no | true | — |
└ drivePicsart Drive storage options. When provided, the result will be saved to the user's Drive. | object | no | — | — |
└ nameFilename to save the result as in Picsart Drive. | string | yes | — | — |
└ attributesAdditional file metadata attributes. | object | no | — | — |
└ folderDestination 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": {
"seed": 0,
"video": {
"url": "https://storage.googleapis.com/falserverless/example_inputs/ovi_t2v_output.mp4"
}
}
}{
"status": "success",
"response": {
"id": "wf_abc123",
"status": "COMPLETED",
"result": {
"seed": 0,
"video": {
"url": "https://storage.googleapis.com/falserverless/example_inputs/ovi_t2v_output.mp4"
}
}
}
}Rates
What this model costs per generation, in USD. Every row is an exact rate — the columns are the settings that change it.