Hailuo T2V Director

hailuo-t2v-0.1

Hailuo T2V Director is an AI video model that supports a wide range of artistic styles and is designed to revolutionize how 2D illustrations come to life.

Partner Model

Fast Inference

REST API

Try in Console API Docs Examples

Model Information

Response Time~424 sec

StatusActive

Version

0.0.1

Updated1 day ago

Live Demo

Average runtime: ~424 seconds

Input

Configure model parameters

Prompt

Through the dense crowd of a busy Tokyo street [Push in], a man in dark sunglasses moves purposefully [Tracking shot], neon signs reflecting off her glasses [Pan left]

Output

View generated results

Result

Preview, share or download your results with a single click.

Each execution costs $0.5 With $1 you can run this model about 2 times.

API Reference

View Full Documentation

Prerequisites

Create an API Key from the Eachlabs Console
Install the required dependencies for your chosen language (e.g., requests for Python)

API Integration Steps

1. Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

import requests
import time

API_KEY = "YOUR_API_KEY"  # Replace with your API key
HEADERS = {
    "X-API-Key": API_KEY,
    "Content-Type": "application/json"
}

def create_prediction():
    response = requests.post(
        "https://api.eachlabs.ai/v1/prediction/",
        headers=HEADERS,
        json={
            "model": "hailuo-t2v-0.1",
            "version": "0.0.1",
            "input": {
  "prompt": "your prompt here"
}
        }
    )
    prediction = response.json()
    
    if prediction["status"] != "success":
        raise Exception(f"Prediction failed: {prediction}")
    
    return prediction["predictionID"]

2. Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

def get_prediction(prediction_id):
    while True:
        result = requests.get(
            f"https://api.eachlabs.ai/v1/prediction/{prediction_id}",
            headers=HEADERS
        ).json()
        
        if result["status"] == "success":
            return result
        elif result["status"] == "error":
            raise Exception(f"Prediction failed: {result}")
        
        time.sleep(1)  # Wait before polling again

3. Complete Example

Here's a complete example that puts it all together, including error handling and result processing. This shows how to create a prediction and wait for the result in a production environment.

try:
    # Create prediction
    prediction_id = create_prediction()
    print(f"Prediction created: {prediction_id}")
    
    # Get result
    result = get_prediction(prediction_id)
    print(f"Output URL: {result['output']}")
    print(f"Processing time: {result['metrics']['predict_time']}s")
except Exception as e:
    print(f"Error: {e}")

Additional Information

The API uses a two-step process: create prediction and poll for results
Response time: ~424 seconds
Rate limit: 60 requests/minute
Concurrent requests: 10 maximum
Use long-polling to check prediction status until completion

Overview

Hailuo T2V Director by Minimax is an advanced AI-driven model designed to generate high-definition videos featuring cinematic camera movements. It supports 720p resolution at 25 frames per second and can produce videos up to 6 seconds in length. Users can control camera movements through specific commands within the text prompts, allowing for dynamic and engaging video content creation.

Technical Specifications

Video Resolution: 720p
Frame Rate: 25 frames per second
Maximum Duration: 6 seconds
Input Types: Text-to-video and image-to-video

Hailuo AI T2V Director utilizes advanced algorithms to interpret textual prompts and generate corresponding video sequences with specified camera movements. It supports a range of camera motions, including horizontal (e.g., [Truck left], [Pan right]), vertical (e.g., [Pedestal up], [Tilt down]), depth movements (e.g., [Push in], [Zoom out]), and special movements like [Tracking shot] and [Static shot].

Key Considerations

Prompt Specificity: Clearly describe the scene and desired camera movements to ensure accurate video generation.

Movement Placement: Position camera movement commands at logical points within the prompt to achieve the intended effect.

Combination Limit: Avoid using more than three simultaneous camera movements to maintain video coherence.

Privacy Policy

When using this model, data is sent from Eachlabs to MiniMax. For more information:

Tips & Tricks

Preset Shot Combinations: Utilize predefined combinations for common shots:

Circling Shots:
- Left circling: [truck left, pan right, tracking shot]
- Right circling: [truck right, pan left, tracking shot]
Walking Shots:
- Left walking: [truck left, tracking shot]
- Right walking: [truck right, tracking shot]
Dynamic Shots:
- Upward tilt: [push in, pedestal up]
- Scenic shot: [truck left, pedestal up]
- Stage shots: [pan right, zoom in], [pan left, zoom in]
- Downward tilt: [pedestal down, tilt up]

Sequential Movements: For complex scenes, sequence camera movements by placing commands at different points in the prompt.

Descriptive Prompts: Enhance video quality by providing detailed descriptions of the scene, lighting, and atmosphere.

Capabilities

Cinematic Video Generation: Produces high-definition videos with dynamic camera movements based on textual prompts.
Diverse Camera Controls: Supports a wide range of camera movements, including pans, tilts, zooms, and tracking shots.
Text and Image Inputs: Accepts both text and image inputs to generate corresponding video content.

What can I use for?

Content Creation: Develop engaging short videos for social media, marketing, or storytelling.
Educational Materials: Create illustrative videos to explain concepts or visualize scenarios.
Artistic Projects: Experiment with AI-generated cinematography for creative endeavors.

Things to be aware of

Dynamic Scenes: Describe action-packed scenarios with multiple camera movements to test Hailuo T2V Director capabilities.
Atmospheric Shots: Use prompts that set a specific mood or atmosphere, incorporating appropriate camera movements.
Subject Focus: Generate videos that focus on a particular subject, utilizing tracking shots to maintain emphasis.

Limitations

Video Duration: Hailuo T2V Director is limited to generating videos up to 6 seconds long.
Resolution Constraints: Outputs are capped at 720p resolution.
Complex Movements: Overly complex or rapid camera movements may not render as intended.

Output Format: MP4

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