Minimax Hailuo I2V-01-live
minimax-i2v-01-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.
Model Information
Input
Configure model parameters
Output
View generated results
Result
Preview, share or download your results with a single click.
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 requestsimport timeAPI_KEY = "YOUR_API_KEY" # Replace with your API keyHEADERS = {"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-i2v-01-live","version": "0.0.1","input": {"prompt_optimizer": false,"first_frame_image": "your_file.png","prompt": "your prompt 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 resultelif 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 predictionprediction_id = create_prediction()print(f"Prediction created: {prediction_id}")# Get resultresult = 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: -
- Rate limit: 60 requests/minute
- Concurrent requests: 10 maximum
- Use long-polling to check prediction status until completion
Overview
Minimax Hailuo I2V-01-live is an image-to-video generation model that transforms a single reference image into a short animated sequence using a guiding text prompt. Minimax Hailuo I2V-01-live blends visual content from a provided image with motion and narrative described in text. This is particularly suitable for creating engaging short videos from static visuals with dynamic storytelling.
Technical Specifications
Minimax Hailuo I2V-01-live supports text-guided video synthesis based on a single keyframe image.
Generates videos with smooth camera motion and style consistency.
Average output duration is between 3 to 6 seconds.
Optimized for fast generation while preserving fidelity to the input image and prompt content.
Key Considerations
If the first frame image contains text or watermarks, the generated video may duplicate or distort these elements.
Prompt relevance is critical. Irrelevant or vague prompts may result in less coherent video output.
Currently, Minimax Hailuo I2V-01-live works best with prompts in English. Other languages may produce unstable results.
The style and dynamics of motion depend on the synergy between the prompt and the first frame image. Consistency is important.
Legal Information for Minimax Hailuo I2V-01-live
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Tips & Tricks
Prompt
- Use specific visual language (e.g., "a fox running through a snowy forest") rather than abstract descriptions.
- To guide motion, include verbs such as walking, spinning, flying, approaching, zooming, etc.
- Avoid ambiguity. For example, instead of “a beautiful city,” write “a futuristic neon-lit cityscape at night.”
- Descriptions of camera effects (e.g., “slow zoom in,” “tracking shot from behind”) can influence output.
First Frame Image
- Choose an image that clearly depicts the main subject in the center and is free from clutter.
- Use high-resolution and well-lit images. Low-quality inputs may result in blurry or deformed video content.
- The style of the image (realistic, 3D, anime, etc.) influences the overall tone of the animation.
Prompt Optimizer
- Enabling prompt_optimizer = true automatically enhances the prompt to align better with the image and improves coherence.
- If using optimized prompts, avoid manually overloading the text with modifiers, as this may create redundancy.
- If your prompt is already highly detailed, you can disable the optimizer to retain full control over the narrative.
Capabilities
Generates short looping or narrative video clips based on a single image and a prompt.
Can simulate cinematic motion such as camera panning, tracking, or object movement.
Ideal for storytelling, visual prototyping, or enhancing static images with dynamic content.
What can I use for?
Creating animated content from key visuals for creative projects.
Enhancing illustrations or artworks with subtle movement and transitions.
Producing visual storytelling content for marketing, social media, or design mockups.
Developing character animations starting from a character concept image and descriptive text.
Things to be aware of
Use an image of a product, character, or landscape and describe a dramatic scene in the prompt.
Combine stylistic prompts like “cyberpunk city at night” with matching images for genre-specific effects.
Try zoom or camera movement prompts like “the camera slowly zooms in on the character’s face.”
Limitations
ixed video duration and resolution.
Does not support audio generation or lip sync.
Inconsistent results may occur with abstract prompts or images that lack clear visual structure.
Cannot generate videos with complex multi-scene transitions or drastic changes in perspective.
Output Format: MP4
