Input
Configure model parameters
Output
View generated results
Result
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Overview
Real-ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks) uses advanced deep learning techniques to upscale low-resolution images. It not only improves the resolution but also restores details, textures, and sharpness, making it ideal for professional photographers, graphic designers, and everyday users.
Technical Specifications
Model Architecture:
- Based on ESRGAN (Enhanced Super-Resolution GAN).
- Trained on large datasets of diverse images for generalization.
Input Requirements:
- Formats: JPEG, PNG, TIFF.
- Recommended Resolution: Up to 720p for optimal performance on the 4x upscale model.
- Max File Size: 20 MB.
Output:
- Formats: JPEG, PNG, TIFF.
- Maximum Resolution: Supports 8K output with no visible loss of quality.
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
Maximize Detail Restoration:
- Use the scale 4 model for images requiring the most detail recovery.
Image Cropping:
- Crop images into smaller sections for faster processing of high-res files.
Enable the "Face Enhance" feature for better facial details in portraits.
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 for?
Photography Enhancement:
- Perfect for improving resolution and details in professional or personal photos.
Graphic Design:
- Enhance assets like icons, logos, or textures for high-res displays.
Video Frame Upscaling:
- Use upscaled images as keyframes in video editing or restoration projects.
Art Preservation:
- Restore and upscale digital or scanned artworks.
E-Commerce and Marketing:
- Improve product images for websites or advertisements.
Restoring old or low-resolution photos.
Enhancing image quality for professional use.
Upscaling images for printing or large-format displays.
Improving facial details in portrait photography.
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
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