EACHLABS
Face Aesthetics is an AI model designed to enhance facial beauty by refining features with natural, balanced, and harmonious adjustments.
Avg Run Time: 5.000s
Model Slug: ai-face-aesthetics
Playground
Input
Enter a URL or choose a file from your computer.
Invalid URL.
(Max 50MB)
Output
Example Result
Preview and download your result.
API & SDK
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.
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.
Readme
Overview
The Face Aesthetics API is a production-ready facial enhancement service that provides AI-powered facial feature modifications. This service offers 22 different types of facial enhancements including facial shape adjustments, eye modifications, nose refinements, and lip enhancements. The API accepts image URLs, processes them through advanced AI algorithms, and returns enhanced images with natural-looking results.
Technical Specifications
Face Aesthetics is built on advanced AI algorithms designed for natural-looking facial feature enhancement.
Supports image processing with high structural fidelity and feature-aware modifications.
Designed to maintain facial identity while accommodating targeted enhancements guided by enhancement type and strength parameters.
Key Considerations
Enhancement strength values should be adjusted cautiously; very low values (0.1-0.3) provide subtle changes, while high values (0.7-1.0) may produce dramatic transformations.
Image quality has a direct influence over enhancement accuracy, lighting quality, face positioning, and visual clarity.
Results vary depending on input image resolution, face angle, lighting conditions, and enhancement type selection.
Processing time ranges from 2-10 seconds, depending on image size and complexity.
Tips & Tricks
image_url
Use high-resolution images with clearly visible faces and minimal background clutter. Avoid heavily compressed or blurry inputs. Front-facing portraits work best.
shape_type
Choose from 22 available enhancement types: slim_face, big_eyes, slim_nose, lip_size, cheekbone, chin_shortening, eye_angle_1, eye_angle_2, eye_distance, widen_eye_distance, eye_height, nose_wing, nose_length, nose_length_2, lip_width, lip_height, cut_face, long_face, chin_lengthening, slim_chin, slim_jaw, human_middle.
strength
Values between 0.2-0.4 are recommended for natural-looking results while maintaining realistic boundaries. Use 0.1-0.3 for subtle changes, 0.4-0.6 for moderate enhancements, and 0.7-1.0 for dramatic transformations.
Capabilities
Facial Shape Modifications
slim_face - Reduce overall facial width for a slimmer appearance
cut_face - Reshape facial contours and definition
long_face - Elongate facial proportions vertically
cheekbone - Enhance cheekbone prominence and definition
Eye Enhancements
big_eyes - Enlarge eye size for more prominent appearance
eye_angle_1 - Adjust eye angle orientation (primary method)
eye_angle_2 - Adjust eye angle orientation (alternative method)
eye_distance - Modify spacing between eyes
widen_eye_distance - Increase distance between eyes
eye_height - Adjust vertical eye positioning
Nose Refinements
slim_nose - Reduce nose width for refined appearance
nose_wing - Adjust nostril width and flare
nose_length - Modify nose length (primary method)
nose_length_2 - Modify nose length (alternative method)
Chin & Jaw Adjustments
chin_shortening - Reduce chin length vertically
chin_lengthening - Extend chin length vertically
slim_chin - Narrow chin width
slim_jaw - Reduce jawline width
Lip Enhancements
lip_size - Adjust overall lip fullness
lip_width - Modify lip width horizontally
lip_height - Adjust lip height vertically
Advanced Features
human_middle - Adjust overall facial proportion balance
Webhook support for asynchronous processing
Multiple image format support with automatic conversion
Built-in health monitoring and metrics
Comprehensive error handling and logging
What Can I Use It For?
Portrait Enhancement
Professional photo retouching for photography studios, beauty applications, and portrait optimization.
Social Media Applications
Profile picture enhancement, content creation tools, and social media filters.
E-commerce and Fashion
Product photography enhancement for beauty brands, fashion retailers, and cosmetic companies.
Mobile Applications
Real-time beauty filters, photo editing apps, and camera enhancement features.
Entertainment Industry
Character design, avatar customization, gaming applications, and virtual reality experiences.
Medical and Cosmetic Consultation
Before/after visualization tools for cosmetic procedures and treatment planning.
Marketing and Advertising
Enhanced visual content for campaigns, promotional materials, and brand imagery.
Research and Development
Facial feature analysis, beauty standard research, and AI model development.
Things to Be Aware Of
Ethical Usage
Ensure appropriate consent when modifying facial features of real people. Consider disclosure requirements for enhanced images.
Cultural Sensitivity
Beauty standards vary across cultures and demographics. Use enhancement features responsibly and inclusively.
Privacy and Security
Protect API authentication tokens. Rotate keys regularly. Ensure compliance with data protection regulations (GDPR, CCPA).
Content Guidelines
Respect platform policies when publishing enhanced images. Consider community standards and content moderation requirements.
Quality Expectations
Set realistic expectations about enhancement limitations. Results depend heavily on input image quality and lighting conditions.
Processing Considerations
Service processes one face per image. Multiple faces may produce unpredictable results.
Temporary Storage
Enhanced images are stored temporarily. Download results promptly as storage duration is limited.
Performance Planning
High-volume usage may require rate limiting strategies. Consider webhook implementation for production workflows.
Limitations
Technical Limitations
Maximum image size: 3MB file limit
Supported dimensions: 10x10px to 2000x2000px maximum
Processing time: 2-10 seconds per request depending on complexity
Concurrent processing: Limited by service resource allocation (1GB memory limit)
Network dependency: Requires stable internet connection for image URL processing
Functional Limitations
Single face processing: Optimized for images containing one primary face
Enhancement scope: Limited to 22 predefined modification types
Strength granularity: Enhancement intensity limited to 0.0-1.0 decimal range
No reversal capability: Each enhancement is independent with no undo functionality
No batch processing: Single image processing per API request
Quality Limitations
Input dependency: Output quality directly correlates with input image clarity and resolution
Lighting sensitivity: Poor lighting conditions significantly impact enhancement accuracy
Angle constraints: Works best with front-facing portraits within ±30 degrees optimal range
Age variability: Enhancement effectiveness may vary across different age groups
Facial hair interference: Dense facial hair may affect certain enhancement types
Makeup considerations: Heavy makeup application may impact enhancement precision
Infrastructure Limitations
Internet connectivity: Requires stable connection for image URL download and processing
Storage duration: Enhanced images available temporarily with limited retention period
Service availability: Single instance deployment may have uptime considerations
Regional constraints: Service availability depends on deployment configuration and geographic location
Pricing
Pricing Detail
This model runs at a cost of $0.40 per execution.
Pricing Type: Fixed
The cost remains the same regardless of which model you use or how long it runs. There are no variables affecting the price. It is a set, fixed amount per run, as the name suggests. This makes budgeting simple and predictable because you pay the same fee every time you execute the model.
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