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": "vidu-template","version": "0.0.1","input": {"bgm": false,"beast": "auto","area": "auto","aspect_ratio": "your aspect ratio here","image_url_3": "your image url 3 here","image_url_2": "your image url 2 here","seed": 0,"image_url": "your image url here","template_name": "minecraft"},"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: ~100 seconds
- Rate limit: 60 requests/minute
- Concurrent requests: 10 maximum
- Use long-polling to check prediction status until completion
Overview
Vidu Template is a video generation model that transforms static images into dynamic videos by applying a variety of predefined motion templates. By leveraging advanced diffusion techniques, it enables users to create engaging visual content without requiring extensive video editing skills.
Technical Specifications
Image Quality: Use high-resolution images with clear subjects to ensure optimal video output.
Template Selection: Choose templates that align with the content and mood of your image for coherent results.
Seed Consistency: Setting a specific seed value allows for reproducible results, which is useful for iterative design processes.
Key Considerations
Template Limitations: Some templates may require specific image compositions or multiple images to function correctly.
Content Appropriateness: Ensure that the selected template matches the context and subject of the image to avoid incongruent results.
Legal Information for Vidu Template
By using this Vidu Template, you agree to:
Vidu Terms Of Use
Vidu Privacy Policy
Tips & Tricks
Image URL: Provide a direct URL to a high-quality image. Ensure the image is well-lit and the subject is clearly visible.
Seed: Use a fixed integer value to reproduce specific results. For varied outputs, allow the seed to be randomly assigned.
Template Name: Select from the available templates that best suit your image's theme. For example:
- hugging for affectionate scenes
- ghibli for a whimsical, animated style
- fashion_stride for runway or fashion-related images.
Experiment with different templates to discover the most fitting effect for your image.
Capabilities
Image-to-Video Transformation: Convert static images into dynamic videos using a variety of motion templates
Template Diversity: Access a broad selection of templates to apply different styles and effects to your images.
What can I use for?
Social Media Content: Create engaging videos for platforms like Instagram, TikTok, or Facebook.
Marketing Materials: Develop dynamic visuals for promotional campaigns or advertisements.
Personal Projects: Transform personal photos into animated keepsakes or digital art pieces.
Storytelling: Enhance narratives by adding motion to illustrative images or storyboards.
Things to be aware of
Template Exploration: Test various templates with the same image to observe different stylistic outcomes
Seed Variation: Adjust the seed value to generate diverse versions of the same template effect.
Image Pairing: Combine multiple images in templates that support multi-image inputs to create more complex animations.
Limitations
Template Dependency: The quality of the output is heavily reliant on the chosen template and its compatibility with the input image.
Static Input: Currently, Vidu Template only supports static images as input; it does not process video or animated inputs.
Output Format: MP4
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