WanWan 3.0 Prime API

Wan 3.0 Prime — the same all-in-one model as Wan 3.0, up to 7x faster.

Prompt

Reference inputs

Generate audio

Duration (s)

Resolution

Aspect ratio

Billed at this model’s published rate.

Result

Your generations will appear here

Other models from Wan

Same vendor, same API call — the differences are below.

Model	Use case	Price	Resolution	Duration	Added
Wan 3.0	Text → Video	from $0.05 / sec	480P · 720P · 1080P	2–30s	Aug 2026
Wan 2.7	Text → Video	from $0.10 / sec	720P · 1080P	5–15s	Mar 2026
Wan 2.7 Image-to-Video	Image → Video	from $0.10 / sec	720P · 1080P	5–15s	Mar 2026
Wan 2.7 Ref-to-Video	Video → Video	from $0.11 / sec	720P · 1080P	5–10s	Mar 2026
Wan 2.7 Video Edit	Video → Video	from $0.10 / sec	720P · 1080P	2–10s	Mar 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.

bash

npm install @picsart/ai-sdk

Authenticate

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',
});

python

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",
)

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('wan-3.0-video-prime', {
  prompt: "A serene mountain lake at golden hour, ultra detailed",
  duration: 5,
  resolution: "1080P",
  aspectRatio: "adaptive"
});

console.log(result.url); // video URL

python

import 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("wan-3.0-video-prime", {
            "prompt": "A serene mountain lake at golden hour, ultra detailed",
            "duration": 5,
            "resolution": "1080P",
            "aspectRatio": "adaptive",
        })

        print(result.url)  # video URL


asyncio.run(main())

bash

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": "wan-3.0-video-prime",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed",
      "duration": 5,
      "resolution": "1080P",
      "aspectRatio": "adaptive"
    }
  }
}'

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('wan-3.0-video-prime', {
  prompt: "A serene mountain lake at golden hour, ultra detailed",
  duration: 5,
  resolution: "1080P",
  aspectRatio: "adaptive"
});

// Polls until the job completes; throws if it fails or is cancelled.
const result = await ai.result('wan-3.0-video-prime', generationId);

console.log(result.url); // video URL

python

import 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("wan-3.0-video-prime", {
            "prompt": "A serene mountain lake at golden hour, ultra detailed",
            "duration": 5,
            "resolution": "1080P",
            "aspectRatio": "adaptive",
        })

        # Polls until the job completes; raises ApiError if it fails or is cancelled.
        result = await ai.result("wan-3.0-video-prime", generation_id)

        print(result.url)  # video URL


asyncio.run(main())

bash

# 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": "wan-3.0-video-prime",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed",
      "duration": 5,
      "resolution": "1080P",
      "aspectRatio": "adaptive"
    }
  }
}'
# → { "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

13 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
`prompt` What to make, in plain language: the subject, style, composition and motion. With an input image or video, what to change.	`text`	no	`—`	max 5000 chars
`duration` Length of the output, in seconds.	`enum`	no	`5`	-1 (auto: the model picks the length), 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30
`resolution` Output size. Higher costs more and takes longer.	`enum`	no	`1080P`	480P, 720P, 1080P
`aspectRatio` Shape of the output as width:height. An auto or adaptive option follows the input image.	`enum`	no	`adaptive`	16:9, 9:16, 1:1, 4:3, 3:4, adaptive (follows the input)
`generateAudio` Whether the video gets a generated soundtrack. Audio can cost more.	`boolean`	no	`true`	—
`startFrame` The first frame, as an image URL. The video starts on this image.	`file (image)`	no	`—`	—
`endFrame` The last frame, as an image URL. The video ends on this image.	`file (image)`	no	`—`	—
`imageUrls` Input images, as URLs: frames to animate, or references for subject, style or composition.	`file (image[])`	no	`—`	—
`videoUrls` Input videos, as URLs.	`file (video[])`	no	`—`	max 15s
`audioUrls` Input audio files, as URLs.	`file (audio[])`	no	`—`	max 15s
`enableThinking` Whether the model reasons before answering.	`boolean`	no	`false`	—
`watermark` Whether the result carries the vendor's AI watermark.	`boolean`	no	`false`	—
`seed` Seed 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)

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.

json

{
  "items": [
    {
      "url": "https://cdn.picsart.com/…/result"
    }
  ],
  "model": "wan-3.0-video-prime"
}

json

{
  "status": "success",
  "response": {
    "id": "task_abc123",
    "status": "COMPLETED",
    "result": {
      "url": "https://cdn.picsart.com/…/result",
      "items": [
        {
          "url": "https://cdn.picsart.com/…/result"
        }
      ],
      "model": "wan-3.0-video-prime"
    }
  }
}

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 'wan/v3/video' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('wan/v3/video', {
  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 $

python

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 'wan/v3/video' workflow directly — params are sent as-is.
        response = await ai.apis.run("wan/v3/video", {
            "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())

bash

curl -X POST 'https://api.picsart.com/workflows/wan/v3/video/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "prompt": "A serene mountain lake at golden hour, ultra detailed"
  }
}'

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('wan/v3/video', {
  prompt: "A serene mountain lake at golden hour, ultra detailed"
}, {
  mode: ApiRunMode.ASYNC,
});

console.log(result);

python

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("wan/v3/video", {
            "prompt": "A serene mountain lake at golden hour, ultra detailed",
        }, mode=ApiRunMode.ASYNC)

        print(response["result"])


asyncio.run(main())

bash

# 1. Submit the job
curl -X POST 'https://api.picsart.com/workflows/wan/v3/video/submit' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "prompt": "A serene mountain lake at golden hour, ultra detailed"
  }
}'
# → { "status": "success", "response": { "id": "wf_abc123" } }

# 2. Poll until response.status is COMPLETED
curl 'https://api.picsart.com/workflows/wan/v3/video/wf_abc123/result' \
  -H 'Authorization: Bearer $PICSART_API_KEY'

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
`prompt` Text prompt describing the desired video, actions and dialogue. Use "Image 1", "Video 1" etc. to reference media by order in the media array. Chinese and English supported. Max 20,000 chars (Chinese/English combined; the vendor truncates beyond that). Either prompt or media is required.	`string`	no	`—`	—
`media` Rich-media inputs, each { type, url }. Limits: up to 10 images; up to 5 videos (each 1-15s, <=15s total); up to 5 audio files (each 1-15s, <=15s total); at most one first_frame, one last_frame, one file and one link. Either prompt or media is required.	`WanV3MediaItem[]`	no	`—`	—
└`type` Media asset type. reference_image/reference_video/reference_audio: all-in-one reference mode. first_frame (+ optional last_frame): strict start-end frame mode. file/link: document or web page, only when enable_thinking is true. Reference and frame types are mutually exclusive within one request.	`string`	yes	`—`	`reference_imagereference_videoreference_audiofirst_framelast_framefilelink`
└`url` URL of the media asset. For image/video/audio an HTTP(S) URL; for link a public web page URL.	`string`	yes	`—`	—
`model` Model name. Deployed in the International (Singapore) region.	`string`	no	`wan3.0-video`	`wan3.0-videowan3.0-video-prime`
`resolution` Resolution tier controlling video clarity. Default: 1080P. Affects cost.	`string`	no	`1080P`	`480P720P1080P`
`ratio` Aspect ratio of the generated video. Default: adaptive — the model chooses from the intent and input media. Ignored in strict first_frame/last_frame mode.	`string`	no	`adaptive`	`16:99:161:14:33:4adaptive`
`duration` Video duration in seconds: an integer 2-30, or -1 for intelligent duration (the model chooses). 0 and 1 are not allowed. Default: 5. With video input, input + output combined must not exceed 30s. Affects cost.	`number`	no	`—`	—
`audio` Include an audio track in the output. Default: true. Pricing is unaffected.	`boolean`	no	`true`	—
`enable_thinking` Enable deep thinking mode. Required to process file/link inputs and to parse complex image content. Default: false. Not recommended without documents or links.	`boolean`	no	`false`	—
`watermark` Add "AI Generated" watermark in the lower-right corner. Default: false.	`boolean`	no	`false`	—
`seed` Random seed for reproducibility (0-2147483647). If omitted, a random seed is used. Identical seeds do not guarantee identical results.	`number`	no	`—`	—
`options` GenAI options for safety checks and Drive saving.	`object`	no	`—`	—
└`safety_checks` Safety check settings	`object`	no	`—`	—
└`enabled` Whether to run content moderation. Defaults to true.	`boolean`	no	`—`	—
└`drive` Save result to Picsart Drive	`object`	no	`—`	—
└`name` File name in Picsart Drive	`string`	yes	`—`	—
└`attributes` Custom attributes to attach to the file	`object`	no	`—`	—
└`folder` Target folder in Picsart Drive	`object`	no	`—`	—
└`inputs_transformation` Input transformation settings	`object`	no	`—`	—
└`downscale_oversized_images` Whether 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.

json

{
  "result": {
    "url": "https://cdn.picsart.com/…/result.mp4",
    "mimeType": "video/mp4",
    "driveFile": {
      "id": "wf_abc123"
    }
  }
}

json

{
  "status": "success",
  "response": {
    "id": "wf_abc123",
    "status": "COMPLETED",
    "result": {
      "url": "https://cdn.picsart.com/…/result.mp4",
      "mimeType": "video/mp4",
      "driveFile": {
        "id": "wf_abc123"
      }
    }
  }
}

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
480p	Any	$0.068 / sec
720p	Any	$0.14 / sec
1080p	Image → video	$0.24 / sec
1080p	Text → video, Video → video	$0.28 / sec

WanWan 3.0 Prime API

Params

Result

Other models from Wan

Install the SDK

Authenticate

Make a request

Async (submit & poll)

Parameters

Response

Overview

Make a request

Async (submit & poll)

Parameters

Response

Rates