MiniMaxMiniMax H3 Context IR API

Name: MiniMax H3 Context IR API
Price: 0.45 USD
Author: MiniMax

MiniMax H3 Context IR — enhances a video prompt from text plus optional first/last frame, reference images, videos, and audio. Returns an enhanced prompt, not a video.

Prompt

Reference inputs

Duration

Aspect ratio

Billed at this model’s published rate.

Result

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 Max Relight	Video → Video	from $0.055 / sec	480p · 768p · 1080p …	—	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.

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 generateText() / generate_text() takes.

import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

const { text } = await ai.generateText('minimax-h3-context-ir', {
  prompt: "A serene mountain lake at golden hour, ultra detailed",
  duration: 5,
  aspectRatio: "adaptive"
});

console.log(text);

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:
        res = await ai.generate_text("minimax-h3-context-ir", {
            "prompt": "A serene mountain lake at golden hour, ultra detailed",
            "duration": 5,
            "aspectRatio": "adaptive",
        })

        print(res.text)


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": "minimax-h3-context-ir",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed",
      "duration": 5,
      "aspectRatio": "adaptive"
    }
  }
}'

Parameters

8 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` The message or question for the model, in plain language. With input images, what to say about them.	`text`	yes	`—`	—
`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` Images for the model to look at, as URLs.	`file (image[])`	no	`—`	—
`videoUrls` Input videos, as URLs.	`file (video[])`	no	`—`	—
`audioUrls` Input audio files, as URLs.	`file (audio[])`	no	`—`	—
`duration` Length of the output, in seconds.	`range`	no	`5`	4–15 (step 1)
`aspectRatio` Shape of the output as width:height. An auto or adaptive option follows the input image.	`enum`	no	`adaptive`	adaptive (follows the input), 21:9, 16:9, 4:3, 1:1, 3:4, 9:16

Response

generateText() resolves to the generated text. 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

{
  "text": "…generated text…",
  "model": "minimax-h3-context-ir"
}

json

{
  "status": "success",
  "response": {
    "id": "task_abc123",
    "status": "COMPLETED",
    "result": {
      "text": "…generated text…",
      "model": "minimax-h3-context-ir"
    }
  }
}

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/v2/h3-context-ir' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('minimax/v2/h3-context-ir', {
  content: [
    {
      type: "text"
    }
  ],
  duration: 5
}, {
  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 'minimax/v2/h3-context-ir' workflow directly — params are sent as-is.
        response = await ai.apis.run("minimax/v2/h3-context-ir", {
            "content": [
                {
                    "type": "text",
                },
            ],
            "duration": 5,
        }, 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/minimax/v2/h3-context-ir/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "content": [
      {
        "type": "text"
      }
    ],
    "duration": 5
  }
}'

Parameters

6 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
`model` Model id	`string`	no	`MiniMax-H3`	`MiniMax-H3`
`content` Content items. Must contain one non-empty text item. Add image/video/audio items with a role to provide first-frame, first-to-last keyframe, or multimodal reference context for the enhancement. Frame and reference roles are mutually exclusive.	`MinimaxContentItem[]`	yes	`—`	—
└`type` Media type of this content item	`string`	yes	`—`	`textimage_urlvideo_urlaudio_url`
└`text` Text prompt; required for a `text` item	`string`	no	`—`	—
└`image_url` Image URL for an `image_url` item	`object`	no	`—`	—
└`url` Publicly reachable URL, an mm_file://{file_id} handle, or a data: URI (small assets only)	`string`	yes	`—`	—
└`video_url` Video URL for a `video_url` item	`object`	no	`—`	—
└`url` Publicly reachable URL, an mm_file://{file_id} handle, or a data: URI (small assets only)	`string`	yes	`—`	—
└`audio_url` Audio URL for an `audio_url` item	`object`	no	`—`	—
└`url` Publicly reachable URL, an mm_file://{file_id} handle, or a data: URI (small assets only)	`string`	yes	`—`	—
└`role` Role of a media item; omit for text	`string`	no	`—`	`first_framelast_framereference_imagereference_videoreference_audio`
`duration` Target video duration in seconds (4–15); informs the enhanced prompt	`number`	yes	`5`	4–15
`ratio` Target aspect ratio; informs the enhanced prompt. Defaults to adaptive when omitted.	`string`	no	`—`	`adaptive21:916:94:31:13:49:16`
`callback_url` Webhook URL to receive task state changes after challenge verification	`string`	no	`—`	—
`options` GenAI options (safety checks)	`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": {
    "prompt": "…",
    "usage": {
      "total_tokens": 0,
      "prompt_tokens": 0,
      "completion_tokens": 0
    }
  }
}

json

{
  "status": "success",
  "response": {
    "id": "wf_abc123",
    "status": "COMPLETED",
    "result": {
      "prompt": "…",
      "usage": {
        "total_tokens": 0,
        "prompt_tokens": 0,
        "completion_tokens": 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	Rate
Input	$0.45 / 1M input tokens
Output text	$1.80 / 1M output text tokens

MiniMaxMiniMax H3 Context IR API

Params

Result

Other models from MiniMax

Install the SDK

Authenticate

Make a request

Parameters

Response

Overview

Make a request

Parameters

Response

Rates