Open-Weight Omni-Modal Video Model

MiniMax H3 Wiki

Create and edit AI videos from text, images, video, and audio with native stereo sound, multimodal references, motion transfer, 2K regeneration, and open-weight deployment.

Try MiniMax H3
Model Overview

MiniMax H3 Overview and Specifications

Review the main MiniMax H3 capabilities, supported inputs, output settings, and native audio features in one easy-to-scan table.

MiniMax H3 is a multimodal AI video-generation model released in 2026. It combines cinematic video creation, reference-guided control, precise motion generation, and synchronized native stereo audio within a single generation workflow.

Model Name

MiniMax H3

A multimodal video-generation model in the MiniMax and Hailuo AI ecosystem.

Release

2026

Introduced as a new-generation MiniMax model for cinematic video and synchronized audio creation.

Primary Output

AI-generated video with native audio

Produces visual footage together with dialogue, ambience, music, and sound effects when requested.

Text Input

Natural-language prompt

Prompts can describe subjects, actions, environments, camera movement, lighting, dialogue, and sound.

Image Input

First frame, first and last frames, or visual references

Images can establish the opening composition, define an ending frame, or preserve subjects, products, characters, and visual style.

Video Input

Motion reference or source video

Reference footage can guide movement, timing, camera behavior, or a video-regeneration workflow.

Audio System

Native synchronized stereo audio

Audio is generated as part of the video rather than added as a separate post-production track.

Audio Content

Dialogue, sound effects, ambience, and music

Sound events can be described directly inside the prompt and synchronized with visible actions.

Maximum Resolution

Up to 1080p

Designed for high-definition output suitable for social content, advertising concepts, and cinematic previews.

Video Duration

Configurable short-form and extended clips

Available duration choices depend on the selected H3 generation mode and output configuration.

Aspect Ratios

Landscape, portrait, and square

Supports common layouts for widescreen video, vertical mobile content, and square social posts.

First-Frame Limit

One starting image

The uploaded image becomes the opening frame and visual foundation of the generated clip.

First-and-Last-Frame Limit

Two keyframe images

One image defines the opening frame and another defines the intended final frame.

Motion Transfer Input

Subject reference plus motion video

The reference subject supplies appearance while the video supplies movement and timing.

Video Regeneration Input

One source video plus an edit prompt

The source clip provides temporal structure while the prompt defines the regenerated result.

Getting Started

MiniMax H3 Beginner Guide

Follow a beginner-friendly workflow to generate and export a MiniMax H3 video through Hailuo AI without writing code.

The Hailuo AI creation interface provides a visual workflow for MiniMax H3. Beginners can select a generation mode, add a prompt and optional reference files, configure the output, generate a preview, and export the completed video.

1

Open the Hailuo AI Generator

Visit the Hailuo AI creation page and sign in to access the video-generation workspace.

Action: Open the Create page and start a new video project.

Tip: Use the web generator when you do not need API integration or automated batch generation.

2

Select MiniMax H3

Choose MiniMax H3 from the available model selector before adding project inputs.

Action: Confirm that H3 is displayed as the active generation model.

Tip: Changing models can also change the available modes, duration settings, and reference options.

3

Choose a Generation Mode

Select text-to-video, first-frame image-to-video, first-and-last-frame, reference-to-video, motion transfer, or video regeneration.

Action: Match the mode to the source materials you already have.

Tip: Start with text-to-video for a completely new scene or first-frame mode when you already have a strong opening image.

4

Upload Reference Materials

Add the images or video required by the selected mode. Reference files can guide identity, composition, style, movement, or scene timing.

Action: Upload only the assets needed for the chosen workflow.

Tip: Use clear, high-quality references with an unobstructed subject and consistent visual details.

5

Write the Prompt

Describe the subject, environment, action, camera movement, lighting, visual style, dialogue, and sound in a logical order.

Action: Use direct sentences and specify what should change during the clip.

Tip: Avoid conflicting camera instructions or several unrelated actions in the same short scene.

6

Configure the Output

Choose the available aspect ratio, duration, resolution, and other generation controls shown for the selected mode.

Action: Use landscape for widescreen footage, portrait for mobile video, or square for social posts.

Tip: Match the aspect ratio to the final publishing platform before generating.

7

Generate and Review

Submit the job and review subject consistency, movement, framing, dialogue timing, and audio synchronization.

Action: Replay the result with sound enabled and inspect the complete clip.

Tip: When a result is close but not correct, revise only the instruction that caused the problem.

8

Refine or Regenerate

Adjust the prompt, replace a weak reference, or use regeneration tools to create an improved variation.

Action: Keep successful details unchanged while making the correction explicit.

Tip: A targeted revision usually gives more predictable results than rewriting the entire prompt.

9

Export the Video

Download the completed result from the project interface after the generation has finished.

Action: Export the final video with its synchronized audio track.

Tip: Review the downloaded file once before publishing to confirm framing and sound playback.

Prompting

MiniMax H3 Prompt Guide and Examples

Build clearer MiniMax H3 prompts by describing the scene, motion, camera, lighting, dialogue, audio, and visual style in a consistent order.

Effective MiniMax H3 prompts focus on visible actions and clear timing. A practical structure is: subject and setting, action sequence, camera behavior, lighting and style, spoken dialogue, sound effects, ambience, and final frame.

General MiniMax H3 generations

Core Prompt Structure

Template

[Subject and appearance] in [environment]. [Primary action and timing]. The camera [camera movement and framing]. [Lighting, color, and visual style]. The subject says, "[dialogue]." Audio: [sound effects, ambience, and music]. End with [final composition].

Example

A bicycle courier wearing a yellow rain jacket waits beneath a neon sign on a wet city street at night. She checks her watch, looks toward the road, and quickly mounts the bicycle. The camera begins with a medium shot and slowly dollies backward as she rides forward. Reflections shimmer across the pavement under blue and magenta lighting. She says, "I am already late." Audio: light rain, distant traffic, a bicycle chain, and restrained electronic music. End on a wide shot as she disappears around the corner.

Note: Use chronological instructions so visual actions and sound events can be synchronized more easily.

Creating a complete scene without reference files

Text-to-Video Prompt

Template

Describe the subject, location, action, camera path, atmosphere, dialogue, and audio entirely through text.

Example

At sunrise, a red vintage train crosses a narrow bridge above a misty pine valley. Steam rolls backward as the train accelerates. The camera tracks beside the locomotive, then rises into a wide aerial view. Warm golden light breaks through the fog. Audio: rhythmic wheels on rails, a distant horn, wind through the valley, and a soft orchestral swell.

Note: Include only the details that must appear on screen and keep the action suitable for the selected clip duration.

Animating a supplied opening image

First-Frame Image-to-Video Prompt

Template

Preserve the uploaded subject and composition. Describe the movement that begins after the first frame, followed by camera and audio instructions.

Example

Preserve the woman's face, red coat, hairstyle, and snowy street from the uploaded image. She slowly turns toward the camera, smiles, and raises one hand to catch a falling snowflake. Her hair and coat move gently in the wind. The camera makes a subtle push-in without changing the background layout. Audio: quiet winter wind, soft footsteps in snow, and distant city traffic.

Note: Do not redescribe identity details that conflict with the image. Concentrate on motion, expression, camera behavior, and sound.

Creating a controlled transition between two images

First-and-Last-Frame Prompt

Template

Describe how the opening frame should transform into the supplied final frame, including the subject path, environmental changes, and camera movement.

Example

Begin exactly from the first image. The empty theater gradually fills with warm stage light as the red curtains open. A dancer walks from the rear of the stage toward the center while the camera slowly cranes downward. Continue the movement until the pose, framing, lighting, and curtain position match the final image. Audio: curtains sliding, measured footsteps, quiet audience ambience, and one sustained piano note.

Note: The prompt should explain the transition rather than separately describing two unrelated images.

Keeping a person or character recognizable

Identity Reference Prompt

Template

Use the uploaded portrait as the identity reference. Preserve facial structure, hairstyle, age, and defining clothing while describing a new scene and action.

Example

Use the uploaded portrait as the identity reference. Preserve the man's facial structure, short silver hair, round glasses, and dark green jacket. Place him inside a bright robotics laboratory. He examines a small mechanical bird, presses a switch, and watches it unfold its wings. The camera circles slowly from his right side to the front. Audio: small servomotors, laboratory ventilation, and his quiet line, "Let us try one more time."

Note: Use a clear reference in which the face and defining features are easy to see.

Advertising and product visualization

Product Reference Prompt

Template

Preserve the uploaded product's shape, materials, branding placement, and color. Describe the environment, product motion, camera path, and commercial lighting.

Example

Preserve the uploaded watch design, metallic case, black dial, crown position, and strap texture. The watch rests on a dark stone platform while a narrow beam of light moves across the polished surface. The camera performs a slow macro orbit and ends directly above the dial. Fine water droplets vibrate as the platform rotates. Audio: subtle mechanical ticking, a low cinematic pulse, and a clean metallic accent at the final frame.

Note: State which product details must remain unchanged and avoid transformations that would hide them.

Applying movement from a reference video to another subject

Motion Transfer Prompt

Template

Use the uploaded image for subject appearance and the uploaded video for body movement, pacing, and timing. Describe only necessary scene and camera adjustments.

Example

Use the uploaded character image for appearance and clothing. Transfer the full dance movement, gesture timing, and body rhythm from the motion-reference video. Keep the character centered on the studio floor while the camera maintains a stable full-body shot. Preserve natural foot contact and balanced limb movement. Audio: energetic percussion synchronized with the major steps.

Note: Choose a motion reference with a clearly visible body and minimal obstruction.

Scenes containing spoken lines and synchronized sounds

Dialogue and Audio Prompt

Template

State who speaks, provide the exact line, describe delivery, and list the sounds that occur before, during, and after the dialogue.

Example

A tired astronaut sits inside a dim spacecraft cockpit and looks through the window at Earth. Warning lights begin flashing. She whispers, "That was not part of the plan," then reaches for the control panel. Audio: quiet breathing inside the helmet, a low engine vibration, three warning beeps before the line, and switches clicking after she speaks. No background music.

Note: Keep dialogue brief enough for the chosen duration and separate spoken words from ambience and sound effects.

Controlling composition and camera movement

Cinematic Camera Prompt

Template

Specify the starting shot, one primary camera movement, the subject action, and the ending shot.

Example

Start with an extreme close-up of a chef slicing a strawberry. The camera pulls backward into a medium shot as she places the fruit on a finished dessert. Steam rises behind her in the restaurant kitchen. End with a slow rack focus from the chef to the dessert. Soft overhead lighting, shallow depth of field, realistic food-commercial style. Audio: knife against cutting board, kitchen ambience, and a gentle ceramic tap.

Note: One continuous camera instruction is usually easier to follow than several abrupt movements.

Generation Modes

MiniMax H3 Generation Modes

Compare the available MiniMax H3 workflows by their required inputs, degree of control, and ideal creative use case.

MiniMax H3 supports workflows ranging from prompt-only scene creation to controlled keyframe animation, reference-guided generation, motion transfer, and source-video regeneration. The best mode depends on whether the priority is creative freedom, identity consistency, precise transitions, movement matching, or structural preservation.

Required Inputs

  • One text prompt

Supported Combination: Text prompt plus selectable output settings and native audio instructions

Workflow: Describe the subject, setting, action, camera movement, visual treatment, dialogue, and sound before submitting the generation.

Best For: Original concepts, cinematic establishing shots, advertisements, social clips, and rapid visual experimentation.

Developer Guide

MiniMax H3 API Integration Guide

Create an asynchronous MiniMax H3 video task, monitor its status, retrieve the output file, and handle common API errors.

MiniMax H3 video generation uses an asynchronous workflow. Send a generation request to receive a task ID, poll the query endpoint until the task succeeds, and then use the returned file ID to obtain the completed video.

shell

Create and Store an API Key

  • Open the MiniMax platform dashboard and create an API key.
  • Store the key in an environment variable instead of placing it directly in source code.
  • Send the key through the Authorization header with every API request.
export MINIMAX_API_KEY="YOUR_API_KEY"
curl

Create a Video Task with cURL

curl --request POST \
  --url "https://api.minimax.io/v1/video_generation" \
  --header "Authorization: Bearer $MINIMAX_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "MiniMax-H3",
    "prompt": "A cinematic tracking shot of a futuristic city at sunrise, with natural traffic sounds and distant dialogue.",
    "duration": 6,
    "resolution": "768P"
  }'

Result: Save the task_id returned by the API. Video rendering continues asynchronously after the request is accepted.

python

Create and Poll a Task with Python

import os
import time
import requests

API_KEY = os.environ["MINIMAX_API_KEY"]
BASE_URL = "https://api.minimax.io/v1"
HEADERS = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json",
}

payload = {
    "model": "MiniMax-H3",
    "prompt": "A premium perfume bottle rotating on black glass, dramatic studio lighting and synchronized ambient sound.",
    "duration": 6,
    "resolution": "768P",
}

create_response = requests.post(
    f"{BASE_URL}/video_generation",
    headers=HEADERS,
    json=payload,
    timeout=60,
)
create_response.raise_for_status()
task_id = create_response.json()["task_id"]

while True:
    query_response = requests.get(
        f"{BASE_URL}/query/video_generation",
        headers=HEADERS,
        params={"task_id": task_id},
        timeout=30,
    )
    query_response.raise_for_status()
    task = query_response.json()
    status = task.get("status")

    if status == "Success":
        file_id = task["file_id"]
        print("Completed:", file_id)
        break

    if status == "Fail":
        raise RuntimeError(task.get("error_message", "Video generation failed"))

    time.sleep(10)

Result: Continue polling while the task is preparing, queued, or processing. Stop when the status becomes Success or Fail.

javascript

Query and Download with JavaScript

const apiKey = process.env.MINIMAX_API_KEY;
const baseUrl = "https://api.minimax.io/v1";

async function getVideo(taskId) {
  const queryResponse = await fetch(
    `${baseUrl}/query/video_generation?task_id=${encodeURIComponent(taskId)}`,
    {
      headers: { Authorization: `Bearer ${apiKey}` }
    }
  );

  if (!queryResponse.ok) {
    throw new Error(`Query failed with HTTP ${queryResponse.status}`);
  }

  const task = await queryResponse.json();
  if (task.status !== "Success") return task;

  const fileResponse = await fetch(
    `${baseUrl}/files/retrieve?file_id=${encodeURIComponent(task.file_id)}`,
    {
      headers: { Authorization: `Bearer ${apiKey}` }
    }
  );

  if (!fileResponse.ok) {
    throw new Error(`File retrieval failed with HTTP ${fileResponse.status}`);
  }

  const file = await fileResponse.json();
  return {
    status: task.status,
    fileId: task.file_id,
    downloadUrl: file.file?.download_url || file.download_url
  };
}

Result: Use the returned download URL promptly and copy the completed video to permanent application storage when required.

shell

MiniMax CLI Workflow

export MINIMAX_API_KEY="YOUR_API_KEY"

minimax --help
minimax video --help
minimax video create --model MiniMax-H3 --prompt "A cinematic product reveal" --resolution 768P --duration 6
minimax video query --task-id "TASK_ID"

Result: The CLI uses the same API key and asynchronous task flow as direct HTTP integration.

Common Errors and Recommended Handling

400Invalid request body, unsupported parameter, duration, resolution, or reference materialValidate the payload before retrying and display the API error message during development.
401 or 403Missing, invalid, expired, or unauthorized API keyCheck the Authorization header and replace the key without exposing it in client-side code.
429Rate limit or account quota reachedPause requests and retry with exponential backoff instead of immediately repeating the request.
500 to 599Temporary service or upstream processing errorRetry a limited number of times with increasing delays and preserve the original task ID.
FailThe asynchronous generation task ended without a videoRead the task error information, correct the prompt or input assets, and create a new task.
Pricing

MiniMax H3 Pricing and Generation Costs

MiniMax H3 generation is calculated from video duration, selected resolution, workflow, and any chargeable reference materials.

Start with the per-second rate for the selected MiniMax H3 mode, multiply it by the generated duration, and then add applicable reference-material or regeneration charges. Failed client requests do not create a video task, while a newly submitted regeneration is treated as a separate generation operation.

H3 768P Generation

Per generated second

Cost Rule: Video duration multiplied by the official H3 768P per-second rate

Best For: Previews, social content, rapid iteration, concept testing, and lower-cost production drafts

4 seconds

4 seconds multiplied by the 768P rate

6 seconds

6 seconds multiplied by the 768P rate

10 seconds

10 seconds multiplied by the 768P rate

15 seconds

15 seconds multiplied by the 768P rate

H3 2K Generation

Per generated second

Cost Rule: Video duration multiplied by the official H3 2K per-second rate

Best For: Premium advertising, product showcases, cinematic sequences, large displays, and final exports

4 seconds

4 seconds multiplied by the 2K rate

6 seconds

6 seconds multiplied by the 2K rate

10 seconds

10 seconds multiplied by the 2K rate

15 seconds

15 seconds multiplied by the 2K rate

Reference Materials

Per chargeable reference input

Cost Rule: Base generation cost plus applicable reference-material charges

Best For: Character consistency, branded assets, product references, visual identity, and controlled composition

One reference image

Generation cost plus one reference-material charge

Multiple reference assets

Generation cost plus charges for all accepted reference materials

Regeneration

Per newly generated result

Cost Rule: Each regeneration uses the selected mode, resolution, and duration pricing

Best For: Producing a different interpretation while retaining the original prompt or reference setup

One original generation and one regeneration

Original generation cost plus regeneration cost

One original generation and three regenerations

Original generation cost plus three regeneration costs

H3-Context-IR

Per generated second plus applicable input charges

Cost Rule: Video duration multiplied by the H3-Context-IR rate plus reference-material charges

Best For: Reference-intensive workflows requiring stronger preservation of characters, products, environments, or visual context

6 seconds

6 seconds multiplied by the H3-Context-IR rate plus reference charges

10 seconds

10 seconds multiplied by the H3-Context-IR rate plus reference charges

Project Cost Formula

Per project

Cost Rule: Total 768P seconds times the 768P rate, plus total 2K seconds times the 2K rate, plus Context-IR usage, reference charges, and regenerations

Best For: Campaign budgeting and multi-shot production planning

Five 6-second 768P drafts

30 seconds multiplied by the 768P rate

Three 10-second 2K final shots

30 seconds multiplied by the 2K rate

Four 6-second reference-based shots

24 seconds multiplied by the selected generation rate plus all applicable reference charges

Open Weights and Deployment

MiniMax H3 Download and Local Deployment

Use the hosted API for managed generation, the MiniMax CLI for command-line access, or download the released MiniMax H3 model files for a self-managed environment.

Downloading MiniMax H3 weights is different from calling the hosted MiniMax service. Local deployment gives developers control over storage, inference configuration, and infrastructure, while the hosted API manages model serving, scaling, task queues, and downloadable outputs.

1

Choose a Deployment Method

Select the hosted API for the simplest production integration, the MiniMax CLI for terminal-based workflows, or the open-weight release for self-managed inference.

Hosted API

Managed infrastructure, asynchronous tasks, hosted model updates, and file delivery

Requires: MiniMax account, API key, and usage balance

MiniMax CLI

Command-line access to supported MiniMax services and development workflows

Requires: CLI installation, authentication, and a supported runtime

Local Weights

Downloaded MiniMax H3 model files and self-managed inference

Requires: Accepted license terms, sufficient storage, compatible accelerators, and a configured inference environment

2

Review the Community License

Read the license displayed with the MiniMax H3 repository before downloading, modifying, redistributing, or using the model commercially. The repository license and usage conditions apply to the open-weight release.

  • Confirm the permitted use cases.
  • Review redistribution and derivative-work conditions.
  • Check commercial-use requirements.
  • Preserve required notices and attribution.
3

Prepare Git LFS and Hugging Face Access

Large model files are stored through Git LFS. Install Git LFS and authenticate with Hugging Face when the repository requires account access or license acceptance.

git lfs install
huggingface-cli login
4

Download the MiniMax H3 Model Files

Clone the official MiniMax H3 repository or use the Hugging Face CLI to download the model into a dedicated local directory.

git clone https://huggingface.co/MiniMaxAI/MiniMax-H3
huggingface-cli download MiniMaxAI/MiniMax-H3 --local-dir ./MiniMax-H3

Result: The local directory contains the released configuration, model files, tokenizer or text components, and repository documentation.

5

Create an Isolated Inference Environment

Use a virtual environment or container so the model dependencies do not conflict with other Python, CUDA, or machine-learning projects.

python -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
6

Install the Official Inference Dependencies

Install the dependency versions listed by the MiniMax H3 model repository and use its provided inference entry point. Keep the model configuration, precision mode, attention implementation, and device mapping aligned with the repository instructions.

cd MiniMax-H3
pip install -r requirements.txt
7

Configure Hardware and Precision

Hardware requirements depend on the selected MiniMax H3 configuration, precision, frame count, duration, resolution, offloading strategy, and number of accelerators.

Lower precisionReduces accelerator memory use while changing numerical behavior and output consistency
CPU or disk offloadingReduces GPU memory pressure but increases generation time
Multiple acceleratorsAllows larger configurations to be distributed across devices
Lower resolution or shorter durationReduces memory use and total inference workload
8

Run the Repository Inference Workflow

Provide the local model path, text prompt, output directory, resolution, duration, and supported reference inputs to the inference script included with the release.

Example Parameters

model_path:
./MiniMax-H3
prompt:
A cinematic aerial shot of a coastal city at sunrise
output_directory:
./outputs
resolution:
768P
duration:
6 seconds
9

Separate Local and Hosted Features

The open MiniMax H3 weights support self-managed inference for the released configuration. Hosted API features, H3-Context-IR workflows, managed 2K regeneration, service-side optimization, and platform delivery remain separate from simply downloading the base model files.

FeatureLocalHosted
Model storageStored and managed on your infrastructureManaged by MiniMax
ScalingConfigured by your deployment teamHandled by the platform
UpdatesDownloaded and deployed manuallyApplied through the service
Output deliveryWritten to local or connected storageRetrieved through task and file APIs
Inspiration Gallery

MiniMax H3 Use Cases and Demo Gallery

Explore practical MiniMax H3 workflows for commercial videos, cinematic sequences, consistent characters, controlled motion, and synchronized audio-video generation.

MiniMax H3 combines text, visual references, motion guidance, and native audio-video generation. Each workflow below shows the production goal, recommended input method, and the MiniMax H3 capability used to create the result.

Advertising

Advertising Campaigns

Start with a campaign concept and product reference, generate several short 768P drafts, and render the selected shot at 2K for final delivery.

Text-to-video generationReference conditioning2K outputNative stereo audio

A luxury electric vehicle moving through a rain-soaked city at night, cinematic reflections, controlled camera tracking, tire sounds and subtle electronic music.

Ideal Output: Product commercials, launch teasers, paid social advertisements, and brand films

Branding

Brand Identity Videos

Use brand colors, product imagery, packaging, or visual references to maintain a recognizable identity across multiple generated shots.

Visual reference inputsStyle consistencyControlled compositionCharacter and object preservation

A sequence of translucent violet forms assembling around a brand emblem, clean studio lighting, slow camera movement and a synchronized sonic logo.

Ideal Output: Logo reveals, campaign transitions, social intros, event screens, and visual identity systems

E-commerce

E-commerce Product Videos

Upload a clear product reference and describe the desired environment, camera movement, lighting, materials, and sound design.

Product consistencyImage-to-video generationCamera controlHigh-resolution rendering

A white running shoe rotating above a reflective platform as water droplets move around it, macro detail, soft studio lighting and crisp material sounds.

Ideal Output: Product pages, marketplace listings, promotional banners, livestream assets, and social storefronts

Film and Media

Film Titles and Cinematic Openings

Describe the environment, lens, camera path, pacing, title reveal, atmosphere, dialogue, and soundscape as one connected cinematic sequence.

Cinematic camera movementComplex scene generationNative audio-video synchronization2K output

A slow aerial journey through an abandoned coastal city before a metallic film title emerges from the fog, accompanied by distant waves and a low orchestral tone.

Ideal Output: Film titles, trailers, episode openings, concept sequences, and pitch presentations

Design Visualization

Product and Industrial Design

Use sketches, renders, or reference images to visualize a proposed object in motion and test how it appears under different materials and lighting.

Reference-based generationMaterial visualizationObject preservationControlled motion

A modular desk lamp unfolding from a compact form on a designer's table, brushed aluminum surfaces, warm light and precise mechanical sounds.

Ideal Output: Design reviews, investor presentations, prototypes, product concepts, and manufacturing previews

Gaming

Game Trailers and World Concepts

Combine environment references, character designs, action direction, camera movement, and synchronized sound to create a short game-world sequence.

Character consistencyEnvironmental continuityAction generationSynchronized sound effects

A masked explorer crossing a ruined sky bridge while mechanical creatures emerge from the clouds, dynamic chase camera, wind, footsteps and distant alarms.

Ideal Output: Game trailers, environment concepts, character reveals, loading-screen videos, and promotional clips

Character Production

Consistent Character Stories

Provide a strong character reference and reuse it across shots with different locations, expressions, actions, dialogue, and camera angles.

Character consistencyReference conditioningFacial expression controlMulti-shot continuity

The same red-haired detective enters a train station, checks a damaged watch, speaks one line of dialogue, and turns toward an approaching train.

Ideal Output: Short films, recurring mascots, virtual presenters, serialized social videos, and narrative prototypes

Performance and Movement

Motion Transfer

Use motion guidance to transfer the timing and structure of a performance to a generated character while preserving the chosen appearance.

Motion transferPose preservationCharacter reference controlTemporal consistency

A stylized armored character reproducing a reference dance performance with matching rhythm, body movement and camera framing.

Ideal Output: Dance videos, action choreography, character animation tests, performance previews, and creator content

Audio-Video Creation

Synchronized Dialogue and Sound

Describe dialogue, speaker emotion, environmental audio, music, and visible action together so they are generated as one coordinated scene.

Native stereo audioDialogue generationAudio-video synchronizationEnvironmental sound

Two astronauts speak quietly inside a damaged spacecraft while warning lights flash, metal panels vibrate and an alarm moves across the stereo field.

Ideal Output: Dialogue scenes, narrative advertisements, multilingual clips, cinematic demonstrations, and social storytelling

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