Minimax Hailuo S2V-01

minimax-s2v-01

Minimax Hailuo S2V-01 turns images focusing on the main subject into smooth, clear videos with consistent quality.

Fast Inference

REST API

Try in Console API Docs Examples

Model Information

Response Time~300 sec

StatusActive

Version

0.0.1

Updated6 days ago

Live Demo

Average runtime: ~300 seconds

Input

Configure model parameters

Prompt

A stylishman walks down a Tokyo street filled with warm glowing neon and animated city signage.

Subject Image

URL of the subject reference image to use for consistent subject appearance

File upload is currently disabled

Output

View generated results

Result

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

Each execution costs $0.65 With $1 you can run this model about 1 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": "minimax-s2v-01",
            "version": "0.0.1",
            "input": {
  "prompt_optimizer": false,
  "prompt": "your prompt here",
  "subject_image": "your subject image here"
},
            "webhook_url": ""
        }
    )
    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: ~300 seconds
Rate limit: 60 requests/minute
Concurrent requests: 10 maximum
Use long-polling to check prediction status until completion

Overview

Minimax Hailuo S2V-01 is an image-to-video generation model designed to create short videos that focus on a specific subject, such as a person or object. It uses a single subject image as a reference and generates a video clip that maintains subject fidelity across frames. Minimax Hailuo S2V-01 interprets both the visual reference and a textual prompt to guide the video’s motion, setting, and visual style.

Technical Specifications

Designed for generating motion based on a subject image and a descriptive prompt.

Maintains strong visual consistency of the subject across all frames.

Optimized for close-up portrait shots, especially of human faces and upper bodies.

Can generate subtle to moderate motion (e.g., head turns, facial expressions, hand gestures).

Best results achieved when the subject image is clear, high-resolution, and front-facing.

Prompt-based motion control supports descriptive actions, emotions, and camera cues.

Ideal for creating face-centered expressive animations with minimal background distractions.

Built to work with minimal inputs: just one image and a short descriptive sentence.

Key Considerations

Subject image quality directly affects identity preservation.

Inconsistent or vague prompts can reduce motion clarity or lead to off-topic results.

Subject_image is the main anchor; changing it changes the video identity significantly.

Overuse of abstract or artistic language in the prompt may reduce model accuracy.

Minimax Hailuo S2V-01 is not optimized for background consistency or long narrative sequences.

Subject orientation (e.g., facing camera) impacts result style and clarity

Legal Information for Minimax Hailuo S2V-01

By using this Minimax Hailuo S2V-01, you agree to:

Minimax: Privacy Policy

Minimax: Terms of Service

Tips & Tricks

subject_image

Use portrait-style images with a clean background.
Ensure the face is well-lit and clearly visible.
File size should not exceed 5MB for best performance.
Center the subject and crop unnecessary borders.

prompt

Keep between 10–30 words.
Mention the scene, emotion, or action clearly:
- "A woman smiling in a sunny field with wind in her hair"
- "Man walking slowly in neon-lit city at night"
Avoid conflicting directions like "smiling and crying."

prompt_optimizer

Set to true if the prompt uses casual or imprecise language.
Set to false when using carefully structured prompts for more controlled results.
Recommended default: true unless exact wording is required.

Capabilities

Generates subject-consistent video clips from a single image.

Supports a wide range of visual styles depending on the prompt.

Handles close-ups, expressive motions, and emotion-based transformations.

Allows prompt-driven environmental changes and camera angles.

Preserves facial details and overall character design over frames.

What can I use for?

Creating short personalized character animations.

Social media content focused on individuals or objects.

Digital avatars or influencer content.

Stylized video portraits and video profile cards.

Expressive loops for storytelling or emotion portrayal.

Things to be aware of

Use expressive prompts to animate emotions:
"Surprised expression in snowfall" or "Joyful dance in sunset light"

Combine character-driven cues with a location:
"Boy in a red hoodie skateboarding in Tokyo"

Animate pets or toys by treating them as a central subject:
"A cat jumping happily through floating balloons"

Limitations

Not optimized for multi-subject scenes or group dynamics.

Backgrounds may appear abstract or generic unless clearly described in the prompt.

Long prompts may be truncated or interpreted unpredictably.

Subject identity can slightly drift over frames with low-quality input images.

Minimax Hailuo S2V-01 does not handle voice or audio synchronization.

Hands, objects, and fine motion may lack detailed consistency across frames.

Output Format: MP4

Related AI Models