fal's H3 Max 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

minimax/h3-max/reference-to-video

Inference

Commercial use

Schema

LLMs

Playground API Examples

SandboxOpen in Sandbox

Loading API documentation…

minimax/h3-max/reference-to-video

Schema

LLMs

Loading API documentation…

SandboxOpen in Sandbox

minimax/h3-max/reference-to-video

Inference

Commercial use

Schema

LLMs

Playground API Examples

SandboxOpen in Sandbox

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Reference To Video 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/reference-to-video", {
  input: {
    prompt: "Image 1 is the female protagonist. Image 2 is her small dog. Keep the woman and dog consistent with their respective reference images while they walk together through a sunlit garden.",
    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/reference-to-video", {
  input: {
    prompt: "Image 1 is the female protagonist. Image 2 is her small dog. Keep the woman and dog consistent with their respective reference images while they walk together through a sunlit garden.",
    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/reference-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/reference-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. Refer to reference assets by their modality and order in the reference lists: Image 1, Image 2, Video 1, Audio 1, and so on.

reference_image_urls list<string>

URLs of subject/style reference images, referenced in the prompt as Image 1, Image 2, and so on. Reference images, videos, and audio clips must add up to at most 12 files.

reference_video_urls list<string>

URLs of motion/reference video clips (2-15 seconds each, combined duration at most 15 seconds), referenced in the prompt as Video 1, Video 2, and so on. Reference images, videos, and audio clips must add up to at most 12 files.

reference_audio_urls list<string>

URLs of reference audio clips (2-15 seconds each, combined duration at most 15 seconds), referenced in the prompt as Audio 1, Audio 2, and so on. Images, videos, and audio can be provided individually or together. Reference images, videos, and audio clips must add up to at most 12 files.

image_url string

Optional URL of the image to use as the first frame. The video opens exactly on this image while the references keep the subjects consistent; the output canvas follows this image.

middle_image_url string

Optional image to guide the video at middle_frame_time. Requires start and end images and native 480P or 768P resolution.

middle_frame_time float

Target time for the middle image, in seconds from the start. Rounded to the nearest frame at 24 fps; it must fall strictly between the first and last frames of the requested duration. Requires middle_image_url.

end_image_url string

Optional URL of the image to use as the last frame. The video ends exactly on this image.

duration float

Video length in seconds. The output can run up to about 0.7 s longer than requested. 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"

aspect_ratio AspectRatioEnum

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

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

reference_conditions list<ReferenceCondition>

Ordered reference list; cross-modality order is semantic and is preserved end-to-end. Do not combine with reference_*_urls.

{
  "prompt": "Image 1 is the female protagonist. Image 2 is her small dog. Keep the woman and dog consistent with their respective reference images while they walk together through a sunlit garden.",
  "reference_image_urls": [
    "https://storage.googleapis.com/falserverless/example_inputs/hailuo23/pro_i2v_in.jpg"
  ],
  "middle_frame_time": 2.5,
  "duration": 5,
  "resolution": "768P",
  "enable_safety_checker": true,
  "prompt_expansion_mode": "disabled",
  "aspect_ratio": "adaptive",
  "reference_conditions": [
    {
      "type": "image",
      "url": ""
    }
  ]
}

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.

seed integer* required

Base seed for reproducing the generation.

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": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  }
}

Other types#

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.

ReferenceCondition#

type TypeEnum* required

Reference modality. Cross-modality list order is semantic.

Possible enum values: image, video, audio

url string* required

URL of the reference media.

Related Models

Loading API documentation…

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Reference To Video 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/reference-to-video", {
  input: {
    prompt: "Image 1 is the female protagonist. Image 2 is her small dog. Keep the woman and dog consistent with their respective reference images while they walk together through a sunlit garden.",
    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

3. Queue#

Long-running requests

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/reference-to-video", {
  input: {
    prompt: "Image 1 is the female protagonist. Image 2 is her small dog. Keep the woman and dog consistent with their respective reference images while they walk together through a sunlit garden.",
    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/reference-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/reference-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)#

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. Refer to reference assets by their modality and order in the reference lists: Image 1, Image 2, Video 1, Audio 1, and so on.

reference_image_urls list<string>

URLs of subject/style reference images, referenced in the prompt as Image 1, Image 2, and so on. Reference images, videos, and audio clips must add up to at most 12 files.

reference_video_urls list<string>

reference_audio_urls list<string>

image_url string

Optional URL of the image to use as the first frame. The video opens exactly on this image while the references keep the subjects consistent; the output canvas follows this image.

middle_image_url string

Optional image to guide the video at middle_frame_time. Requires start and end images and native 480P or 768P resolution.

middle_frame_time float

end_image_url string

Optional URL of the image to use as the last frame. The video ends exactly on this image.

duration float

Video length in seconds. The output can run up to about 0.7 s longer than requested. 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

aspect_ratio AspectRatioEnum

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

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

reference_conditions list<ReferenceCondition>

Ordered reference list; cross-modality order is semantic and is preserved end-to-end. Do not combine with reference_*_urls.

{
  "prompt": "Image 1 is the female protagonist. Image 2 is her small dog. Keep the woman and dog consistent with their respective reference images while they walk together through a sunlit garden.",
  "reference_image_urls": [
    "https://storage.googleapis.com/falserverless/example_inputs/hailuo23/pro_i2v_in.jpg"
  ],
  "middle_frame_time": 2.5,
  "duration": 5,
  "resolution": "768P",
  "enable_safety_checker": true,
  "prompt_expansion_mode": "disabled",
  "aspect_ratio": "adaptive",
  "reference_conditions": [
    {
      "type": "image",
      "url": ""
    }
  ]
}

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.

seed integer* required

Base seed for reproducing the generation.

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": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  }
}

Other types#

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.

ReferenceCondition#

type TypeEnum* required

Reference modality. Cross-modality list order is semantic.

Possible enum values: image, video, audio

url string* required

URL of the reference media.

minimax/h3-max/reference-to-video

minimax/h3-max/reference-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#

File#

ReferenceCondition#

Related Models

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#

File#

ReferenceCondition#

Related Models