minimax/h3-max-turbo/text-to-video

fal's H3 Max Turbo is a post-trained variant of MiniMax H3, tuned for stronger prompt adherence and better aesthetics while co-optimized with our custom inference stack for higher throughput with no compromises on output quality

Inference

Commercial use

Schema

LLMs

Playground API Examples

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Text To Video Max Turbo

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("minimax/h3-max-turbo/text-to-video", {
  input: {
    prompt: "A white kitten chases a butterfly across a sunlit garden. Gentle camera tracking, natural movement, soft afternoon light filtering through the leaves.",
    prompt_expansion_mode: "disabled"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In an environment where you cannot set environment variables, you can configure the API key manually on the client.

import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Protect your API Key

When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("minimax/h3-max-turbo/text-to-video", {
  input: {
    prompt: "A white kitten chases a butterfly across a sunlit garden. Gentle camera tracking, natural movement, soft afternoon light filtering through the leaves.",
    prompt_expansion_mode: "disabled"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("minimax/h3-max-turbo/text-to-video", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("minimax/h3-max-turbo/text-to-video", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

prompt string* required

Text prompt for video generation

duration integer

The duration of the video in seconds. Default value: 5

resolution ResolutionEnum

The native generation resolution, or 1080P latent refinement from a native 768P source. Default value: "768P"

Possible enum values: 480P, 768P, 1080P

seed integer

Random seed. A random seed is selected when omitted.

enable_safety_checker boolean

If set to true, the safety checker will be enabled. Default value: true

sync_mode boolean

Return the generated video as base64 instead of a CDN URL.

prompt_expansion_mode string* required

How much effort to spend rewriting the prompt before generation. 'disabled' skips prompt expansion. 'balanced' returns in about a second. 'quality' spends up to ~30s on a richer prompt. Default value: "balanced"

target_audio_url string

Optional URL of an audio clip at least 2 seconds long (maximum 15 MB) to pin to the generated soundtrack. Longer clips are trimmed to the requested video duration, keeping the beginning. The original audio replaces the output soundtrack, padded with silence if shorter than the video, without changing playback speed. Exceptionally high sample rates may be resampled to 96 kHz. Accepts an HTTP(S) URL or a base64 data URI.

aspect_ratio AspectRatioEnum

The aspect ratio of the generated video. Default value: "16:9"

Possible enum values: 21:9, 16:9, 4:3, 1:1, 3:4, 9:16

{
  "prompt": "A white kitten chases a butterfly across a sunlit garden. Gentle camera tracking, natural movement, soft afternoon light filtering through the leaves.",
  "duration": 5,
  "resolution": "768P",
  "enable_safety_checker": true,
  "prompt_expansion_mode": "disabled",
  "aspect_ratio": "16:9"
}

Output#

video File* required

The generated video

expanded_prompt string

The prompt after expansion, as sent to the model. Null when prompt expansion was disabled, left the prompt unchanged, or was performed internally by MiniMax's hosted API.

timings object

Timing breakdown in seconds. 'inference' is the DiT denoising time on the GPU backend. Null on routes that do not report backend timings.

{
  "video": {
    "file_size": 6463396,
    "url": "https://v3b.fal.media/files/b/0aa46818/--prs89fkHtWW406fmEs__NRhTqNku.mp4",
    "content_type": "video/mp4",
    "file_name": "--prs89fkHtWW406fmEs__NRhTqNku.mp4"
  }
}

Other types#

TranscriptSegment#

start float* required

Speech start in source-video seconds.

end float* required

Speech end in source-video seconds.

text string* required

Source text, or final dialogue when auto_translate is false.

DubbingSegment#

start float* required

end float* required

text string* required

translated_text string* required

EncodedReferenceImage#

id string* required

revision integer* required

image_sha256 string* required

owner_id string* required

audience string* required

fingerprint string* required

url string* required

sha256 string* required

size_bytes integer* required

height integer* required

width integer* required

qwen_grid array

expires_at integer* required

signature string* required

CheckpointLoRA#

locator string* required

Opaque service-owned adapter locator.

sha256 string* required

size_bytes integer* required

scale float* required

transformer_family TransformerFamilyEnum* required

Possible enum values: fl2va, ref2va, ref2va-tdm-k10

transformer_variant string* required

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

H3MaxCameraKeyframe#

time float* required

Normalized video time, from 0 at the start to 1 at the end.

azimuth float* required

Horizontal camera angle around the subject, in degrees.

elevation float* required

Vertical camera angle around the subject, in degrees.

distance float* required

Camera distance from the subject in normalized scene units.

AVCheckpoint#

url string* required

Unguesseable service-issued checkpoint artifact URL.

sha256 string* required

size_bytes integer* required

version integer

Default value: 1

model string

Default value: "minimax-h3"

transformer_family TransformerFamilyEnum

Default value: "fl2va"

Possible enum values: fl2va, ref2va, ref2va-tdm-k10

encoded_reference_images list<EncodedReferenceImage>

loras list<CheckpointLoRA>

resolution ResolutionEnum* required

Possible enum values: 480p, 544p, 640p, 704p, 768p, 1080p, 1440p

checkpoint_id string* required

owner_id string* required

sha256 of the issuing caller's gateway identity.

source_request_id string* required

Issuing request id — audit/provenance lineage only.

issued_at integer* required

expires_at integer* required

audience string

Default value: "minimax-h3/continue-video"

signature string* required

Service HMAC binding the complete descriptor.

minimax/h3-max-turbo/text-to-video

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

TranscriptSegment#

DubbingSegment#

EncodedReferenceImage#

CheckpointLoRA#

File#

H3MaxCameraKeyframe#

AVCheckpoint#

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