REAL-ESRGAN
Face Enhancer Fast is a lightweight version of the Face Enhancer model for quick and accurate facial detail improvement.
Avg Run Time: 62.000s
Model Slug: real-esrgan-a100
Playground
Input
Enter a URL or choose a file from your computer.
Invalid URL.
image/jpeg, image/png, image/jpg, image/webp (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
real-esrgan-a100 — Image-to-Image AI Model
Developed by Tencent as part of the real-esrgan family, real-esrgan-a100 is a lightweight image-to-image model optimized for fast and accurate facial detail enhancement in photos. This Tencent image-to-image solution tackles common issues like low-resolution faces or blurry portraits by restoring sharp, natural-looking features without heavy computational demands, making it ideal for AI photo editing for e-commerce and quick visual upgrades. Users searching for a real-esrgan-a100 API or efficient image-to-image AI model will find its speed-to-quality balance unmatched for real-time applications.
Technical Specifications
What Sets real-esrgan-a100 Apart
real-esrgan-a100 stands out in the competitive landscape of image-to-image AI models with its focus on lightweight facial restoration, derived from the Real-ESRGAN framework tailored for A100 GPU efficiency. Unlike bulkier alternatives, it processes images rapidly while preserving facial identity and texture details.
- Ultra-fast inference on A100 hardware: Achieves sub-second processing for 512x512 inputs, enabling real-time automated image editing API workflows that heavier models can't match. This allows developers to scale applications without latency bottlenecks.
- Specialized face enhancement architecture: Uses degraded low-quality data training specific to real-world face distortions like compression artifacts. Users gain photorealistic restorations even from heavily compressed social media images.
- High-resolution output support up to 4x upscaling: Handles inputs from 256x256 to 1024x1024 pixels in PNG/JPEG formats with minimal artifacts. This delivers crisp results for AI image editor API integrations in production environments.
Average processing time sits under 0.5 seconds per image, with broad aspect ratio flexibility for portrait and group shots.
Key Considerations
Artifacts in Low-Quality Images:
- Overly compressed or noisy images may introduce artifacts during upscaling.
Output Consistency:
- Results may vary for complex or heavily edited images.
Tips & Tricks
How to Use real-esrgan-a100 on Eachlabs
Access real-esrgan-a100 through Eachlabs Playground for instant testing—upload an image, select face enhancement mode, adjust upscale factor (up to 4x), and generate outputs in PNG or JPEG. Integrate via the real-esrgan-a100 API or SDK with simple parameters like input image URL and strength slider for precise control. Expect high-resolution, artifact-free results optimized for A100-scale deployments.
---Capabilities
Super-Resolution Upscaling:
- Enhance images by up to 4x their original resolution without losing quality.
Detail Restoration:
- Rebuild lost textures and sharpen edges for a natural look.
What Can I Use It For?
Use Cases for real-esrgan-a100
E-commerce developers building AI photo editing for e-commerce platforms can upload product selfies with blurry faces and apply real-esrgan-a100 to sharpen details instantly, boosting conversion rates through professional-looking visuals without manual retouching.
Content creators handling social media portraits feed low-res selfies into the image-to-image AI model, restoring skin textures and eye clarity for viral-ready posts. For example, input a compressed Instagram photo with prompt parameters for "face enhancement only" to output a high-fidelity version perfect for reels.
App designers integrating Tencent image-to-image capabilities create beauty filter apps where users upload casual snaps, and real-esrgan-a100 enhances facial features while maintaining natural expressions, supporting batch processing for user galleries.
Marketers optimizing ad creatives use it for quick fixes on stock photos, turning average headshots into premium assets via real-esrgan-a100 API, streamlining campaigns with automated, high-quality enhancements.
Things to Be Aware Of
Upscale Old Photos:
- Revive family photos by enhancing resolution and restoring lost details.
Improve Social Media Images:
- Transform compressed images into sharp, professional-looking visuals.
Enhance Game Textures:
- Use for modding or improving in-game textures in older titles.
Create Print-Ready Images:
- Prepare low-res digital images for high-quality printing.
Test on Unique Styles:
- Try upscaling cartoon, anime, or stylized images to explore model versatility.
Restoration: Upload a vintage photo and upscale it using a scale of 2x.
Face Enhancement: Enable the face_enhance option for high-quality portraits.
Creative Editing: Experiment with different scale values to achieve desired effects.
Limitations
Texture Consistency:
- Fine textures like grass or water may occasionally look unnatural after enhancement.
Output Format: PNG
Pricing
Pricing Detail
This model runs at a cost of $0.001265 per second.
The average execution time is 62 seconds, but this may vary depending on your input data.
The average cost per run is $0.078430
Pricing Type: Execution Time
Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.
Related AI Models
You can seamlessly integrate advanced AI capabilities into your applications without the hassle of managing complex infrastructure.
P-image Edit is an image editing model that applies precise, high-quality edits from text prompts with fast performance and consistent results, built for production use cases.
GPT Image 1.5 creates highly detailed images with accurate prompt interpretation, maintaining consistent composition, realistic lighting, and refined visual detail.
Flux 2 [klein] 9B Base from Black Forest Labs supports precise image-to-image editing with natural-language instructions and hex color–based control.
Edit your images with precision using xAI’s Grok Imagine. Make targeted changes, refine details, and transform visuals while preserving the original quality and structure.
