MiniMaxMiniMax H3 Max Relight API
Relight an existing video with MiniMax H3 Max — a sphere-render reference image sets the target lighting and the output keeps the source clip's length. Sources up to 15s, output up to 2K.
Params
Billed at this model’s published rate.
Result

Your generations will appear here
Other models from MiniMax
Same vendor, same API call — the differences are below.
| Model | Use case | Price | Resolution | Duration | Added |
|---|---|---|---|---|---|
| MiniMax H3 Max Recast | Video → Video | from $0.33 / sec | 768p · 1080p | — | Nov 2026 |
| MiniMax H3 Highspeed | Text → Video | from $0.0352 / sec | 480P · 768P | 5–15s | Nov 2026 |
| MiniMax H3 Lite | Text → Video | from $0.022 / sec | 480P · 768P | 5–15s | Nov 2026 |
| MiniMax M3 | Image → Text | from $0.06 / 1M cached in | — | — | Oct 2026 |
| MiniMax M3.1 Flash | Image → Text | from $0.015 / 1M cached in | — | — | Oct 2026 |
| MiniMax H3 Context IR | Video → Text | from $0.45 / 1M in | — | 4–15s | Oct 2026 |
| MiniMax H3 Max Extend | Video → Video | from $0.055 / sec | 480p · 768p · 1080p … | 5–15s | Sep 2026 |
| MiniMax H3 Max Lip Sync | Image → Video | from $0.055 / sec | 480p · 768p · 1080p … | — | 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('minimax-h3-max-relight', {
videoUrl: "https://cdn.example.com/input.mp4",
imageUrls: [
"https://cdn.example.com/input.jpg"
],
resolution: "768p",
aspectRatio: "16:9"
});
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("minimax-h3-max-relight", {
"videoUrl": "https://cdn.example.com/input.mp4",
"imageUrls": [
"https://cdn.example.com/input.jpg",
],
"resolution": "768p",
"aspectRatio": "16:9",
})
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": "minimax-h3-max-relight",
"params": {
"videoUrl": "https://cdn.example.com/input.mp4",
"imageUrls": [
"https://cdn.example.com/input.jpg"
],
"resolution": "768p",
"aspectRatio": "16:9"
}
}
}'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('minimax-h3-max-relight', {
videoUrl: "https://cdn.example.com/input.mp4",
imageUrls: [
"https://cdn.example.com/input.jpg"
],
resolution: "768p",
aspectRatio: "16:9"
});
// Polls until the job completes; throws if it fails or is cancelled.
const result = await ai.result('minimax-h3-max-relight', 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("minimax-h3-max-relight", {
"videoUrl": "https://cdn.example.com/input.mp4",
"imageUrls": [
"https://cdn.example.com/input.jpg",
],
"resolution": "768p",
"aspectRatio": "16:9",
})
# Polls until the job completes; raises ApiError if it fails or is cancelled.
result = await ai.result("minimax-h3-max-relight", 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": "minimax-h3-max-relight",
"params": {
"videoUrl": "https://cdn.example.com/input.mp4",
"imageUrls": [
"https://cdn.example.com/input.jpg"
],
"resolution": "768p",
"aspectRatio": "16:9"
}
}
}'
# → { "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
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 |
|---|---|---|---|---|
videoUrlThe video to work on, as a URL. | file (video) | yes | — | max 15s |
imageUrlsInput images, as URLs: frames to animate, or references for subject, style or composition. | file (image[]) | yes | — | — |
resolutionOutput size. Higher costs more and takes longer. | enum | no | 768p | 480p, 768p, 1080p, 2k |
aspectRatioShape of the output as width:height. An auto or adaptive option follows the input image. | enum | no | 16:9 | adaptive (follows the input), 21:9, 16:9, 4:3, 1:1, 3:4, 9:16 |
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) |
enableSafetyCheckerRun the vendor's safety check on the result. | boolean | no | true | — |
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": "minimax-h3-max-relight"
}{
"status": "success",
"response": {
"id": "task_abc123",
"status": "COMPLETED",
"result": {
"url": "https://cdn.picsart.com/…/result",
"items": [
{
"url": "https://cdn.picsart.com/…/result"
}
],
"model": "minimax-h3-max-relight"
}
}
}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 'minimax/h3-max/relight' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('minimax/h3-max/relight', {
video_url: "https://cdn.example.com/input.mp4",
reference_image_url: "https://cdn.example.com/input.jpg"
}, {
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 'minimax/h3-max/relight' workflow directly — params are sent as-is.
response = await ai.apis.run("minimax/h3-max/relight", {
"video_url": "https://cdn.example.com/input.mp4",
"reference_image_url": "https://cdn.example.com/input.jpg",
}, 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/minimax/h3-max/relight/execute' \
-H 'Authorization: Bearer $PICSART_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"params": {
"video_url": "https://cdn.example.com/input.mp4",
"reference_image_url": "https://cdn.example.com/input.jpg"
}
}'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('minimax/h3-max/relight', {
video_url: "https://cdn.example.com/input.mp4",
reference_image_url: "https://cdn.example.com/input.jpg"
}, {
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("minimax/h3-max/relight", {
"video_url": "https://cdn.example.com/input.mp4",
"reference_image_url": "https://cdn.example.com/input.jpg",
}, mode=ApiRunMode.ASYNC)
print(response["result"])
asyncio.run(main())# 1. Submit the job
curl -X POST 'https://api.picsart.com/workflows/minimax/h3-max/relight/submit' \
-H 'Authorization: Bearer $PICSART_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"params": {
"video_url": "https://cdn.example.com/input.mp4",
"reference_image_url": "https://cdn.example.com/input.jpg"
}
}'
# → { "status": "success", "response": { "id": "wf_abc123" } }
# 2. Poll until response.status is COMPLETED
curl 'https://api.picsart.com/workflows/minimax/h3-max/relight/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_checkerEnable safety checking. | boolean | no | true | — |
seedRandom seed for video generation. | integer | no | — | — |
video_urlSource video up to 15 seconds long. Converted to constant 24 fps and trimmed at the end to the closest 17n+5 frame count, with at least 56 frames (about 2.33 seconds) remaining. The output matches this prepared video's frame count and duration. | string | yes | — | min 1 chars |
reference_image_urlSphere render showing the target lighting. | string | yes | — | min 1 chars |
aspect_ratioOutput video aspect ratio. | string | no | 16:9 | adaptive21:916:94:31:13:49:16 |
sync_modeReturn video as a data URI. | boolean | no | false | — |
resolutionOutput video resolution. 480P and 768P generate natively; 1080P and 2K (1440p) use latent upscaling and refinement from 768P. | string | no | 768P | 480P768P1080P2K |
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": {
"content_type": "image/png",
"url": "https://cdn.picsart.com/…/result.jpg",
"file_name": "z9RV14K95DvU.png",
"file_size": 4404019
},
"timings": {}
}
}{
"status": "success",
"response": {
"id": "wf_abc123",
"status": "COMPLETED",
"result": {
"seed": 0,
"video": {
"content_type": "image/png",
"url": "https://cdn.picsart.com/…/result.jpg",
"file_name": "z9RV14K95DvU.png",
"file_size": 4404019
},
"timings": {}
}
}
}Rates
What this model costs per generation, in USD. Every row is an exact rate — the columns are the settings that change it.
| Tier | Rate |
|---|---|
| 480p | $0.055 / sec |
| 768p | $0.088 / sec |
| 1080p | $0.176 / sec |
| 2K | $0.352 / sec |