Hailuo I2V Live

hailuo-i2v-live

Hailuo I2V-01-Live 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

Updated2 days ago

Live Demo

Average runtime: ~424 seconds

Input

Configure model parameters

Prompt

Enter your prompt to generate video

let this person slowly hug the person on the left

First Frame Image

First frame image for video generation. The output video will have the same aspect ratio as this image.

File upload is currently disabled

PNGJPEGJPG

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-i2v-live",
            "version": "0.0.1",
            "input": {
  "first_frame_image": "your_file.png",
  "prompt_optimizer": "true",
  "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

MiniMax Video-01 Live is a state-of-the-art video generation model capable of creating highly realistic and dynamic videos from text prompts, images inputs. Designed for flexibility and ease of use, it offers real-time processing and high-definition output, making it ideal for content creators, advertisers, and digital artists.

Technical Specifications

720p video resolution output
25fps frame rate
High compression ratios
High text prompt compliance

Key Considerations

Ensure the input files meet the specified format and size requirements.

Always provide a clear and detailed prompt to achieve better results.

Optimize the first frame image for clarity and color balance to set a consistent tone for the video. =The model accepts image files in JPG and PNG formats as input

Privacy Policy

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

Tips & Tricks

Enhance Text Prompts with Context:

Include environmental details, lighting conditions, and camera movements in your text prompts. Example: "A mountain trail during dawn, with a soft camera zoom following a hiker."

Combine Inputs:

Use a combination of text and image inputs for specific results. For example, provide an image of a product and add a text prompt like "360-degree rotation with soft lighting."

Experiment with Frame Rates:

For cinematic effects, use 24 fps. For smoother motion, opt for 60 fps.

Enable the Prompt Optimizer for improved visual alignment with your text input.

Test different prompts to experiment with creative styles and concepts.

Use high-quality first-frame images to maintain consistency throughout the video.

Adjust the settings based on the type of content (e.g., animations, transitions) for optimal results.

Capabilities

Real-Time Video Generation: Creates dynamic, high-quality videos from diverse inputs.
AI-Driven Editing: Modifies existing videos by adding or removing elements, adjusting colors, and more.
High Customizability: Offers extensive options for resolution, frame rate, and effects.
Content Versatility: Suitable for marketing, storytelling, animation, and artistic projects.
Converts textual prompts into dynamic video outputs.
Supports the inclusion of custom first-frame images for personalized results.
Offers prompt optimization for better alignment with user descriptions.
Delivers smooth transitions and high-resolution outputs.

What can I use for?

Marketing and Branding: Generate promotional content for products or services.

Video Prototyping: Quickly visualize concepts for ads, films, or animations.

Social Media Content: Create short, engaging clips for platforms like Instagram, TikTok, or YouTube.

Education and Training: Develop instructional or explainer videos.

Artistic Projects: Produce creative video art or animations with custom styles.

Things to be aware of

Short Story Visualizations:
- Use a descriptive text prompt like "A magical forest with glowing trees and a fox walking slowly."
Image-to-Video Transitions:
- Provide an image and a text prompt such as "Transform this into a time-lapse of a sunset."
Style Exploration:
- Experiment with various styles, such as “cinematic,” “abstract,” or “vintage film look.”
360-Degree Product Demos:
- Input a product image with a prompt like "Create a 360-degree rotation with a white background."
Multi-Scene Creations:
- Combine multiple prompts for multi-scene videos, e.g., "Scene 1: A city street at night. Scene 2: Sunrise over a beach."
Dynamic Lighting Effects:
- Add lighting cues like "dramatic spotlight" or "sunbeams through trees" for unique aesthetics.
Provide a historical artwork as the first-frame image and use a descriptive prompt to recreate it in a dynamic, animated style.
Use a black-and-white first-frame image and add a colorful prompt to generate a vibrant, color-enhanced video.
Upload a personal portrait and use a prompt like "Transform into a fantasy character in a magical forest."
Pair a nature scene image with prompts describing seasonal changes, such as "Spring blossoms with vibrant flowers."
Create a futuristic sci-fi scene using a city skyline photo and prompts like "Cyberpunk city with glowing neon signs."
Experiment with abstract designs by uploading an artistic texture and using prompts like "Flowing colors with surreal patterns."
Use the prompt optimizer to refine prompts for storytelling, such as "A hero's journey through a mystical realm."
Generate educational videos by providing schematic diagrams as the first frame and prompts explaining scientific concepts.
Combine text from a movie script and a key image from the scene to recreate cinematic moments.
Create social media content using trendy prompts like "Minimalist aesthetic with pastel tones."
Use architectural designs as the first-frame image and add prompts like "Modern skyscraper with glass reflections at sunset."
Generate fantasy landscapes by uploading a mountain image and using a prompt like "Dragon flying over snowy peaks."
Test storytelling by chaining prompts for a continuous visual narrative, such as "Morning to night transformation in a city."
Design artistic ads by starting with product images and using prompts like "Luxury brand elegance in golden tones."