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Description
Utilizing cutting-edge AI and Super-Resolution technology, the upscaling process has been significantly accelerated, requiring only a matter of seconds for completion. All images will be processed and cleared within a span of 24 hours, ensuring your privacy is prioritized, allowing you to use our services with confidence. To easily view the differences, simply hover your mouse over the image to see the before-and-after comparison. The effectiveness of the AI is heightened when the original small image is clear, as this allows for a more detailed enhancement. When dealing with real photos, ImgLarger excels in recovering intricate details, resulting in a sharper image compared to ImgUpscaler, which may sacrifice some detail to expedite the enlargement process. Meanwhile, Waifu2x serves as an open-source initiative focused on applying image super-resolution specifically for Anime-style art, and its technology has inspired various programs like Bigjpg and Vanceai. ImgUpscaler stands out by optimizing the anime upscaling process, utilizing a novel model that not only enhances details but also reduces noise for superior image quality, making it a preferred choice for those seeking high-quality enhancements. This competitive edge further establishes ImgUpscaler as a leader in the realm of image enhancement technologies.
Description
Karlo serves as an innovative model designed to create images from textual descriptions. It enhances the impressive unCLIP architecture developed by OpenAI by improving the conventional super-resolution model, enabling it to capture complex details at an impressive resolution of 256px, while effectively reducing noise through a limited number of denoising iterations.
In developing Karlo, we undertook a comprehensive training regimen that began from the ground up, leveraging a substantial dataset of 115 million image-text pairs, which included COYO-100M, CC3M, and CC12M. For the Prior and Decoder sections, we utilized the advanced ViT-L/14 text encoder sourced from OpenAI's CLIP library. To boost performance, we implemented a notable alteration to the original unCLIP design; rather than using a trainable transformer in the decoder, we opted to incorporate the text encoder from ViT-L/14, thereby enhancing the model's capability. This strategic choice not only streamlined the architecture but also contributed to improved image quality and fidelity.
API Access
Has API
API Access
Has API
Integrations
B^ DISCOVER
B^ EDIT
Pricing Details
$99 one-time payment
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Img.Upscaler
Website
imgupscaler.com
Vendor Details
Company Name
Kakao Brain
Founded
2017
Country
South Korea
Website
github.com/kakaobrain/karlo