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What is pixray?
Pixray is a cutting-edge image generation system that builds upon earlier ideas, including Perception Engines that leverage image augmentation to progressively enhance visuals through a combination of classifiers. This platform also features CLIP-guided GAN methodologies crafted by Ryan Murdoch and Katherine Crowson, along with improvements such as CLIPDraw, which was created by Kevin Frans. Additionally, it utilizes efficient techniques for navigating latent space, inspired by Sampling Generative Networks. Users can craft images from text prompts using Pixray, with processes handled on Nvidia T4 GPU hardware, typically taking around seven minutes, though actual durations can vary greatly based on the specific inputs. Offering versatility, Pixray is accessible as both a Python library and a command-line interface, catering to a wide range of applications. While Replicate provides an initial free usage of Pixray, a credit card becomes necessary after a set period, leading to charges based on the duration of predictions, which can differ depending on the hardware used for executing various models. Consequently, users have the advantage of selecting from a diverse array of models, each fine-tuned for particular hardware types, ensuring optimal performance tailored to their individual requirements. This flexibility allows creators to experiment with different configurations, enhancing their creative output even further.
What is Karlo?
Karlo is an advanced model crafted to generate images from written descriptions, building upon the remarkable unCLIP architecture created by OpenAI by refining the standard super-resolution model to effectively capture intricate details at a notable resolution of 256px while minimizing noise through a limited series of denoising iterations. The development of Karlo involved an extensive training process that commenced from scratch, utilizing a large dataset of 115 million image-text pairs, which encompassed sources like COYO-100M, CC3M, and CC12M. In constructing the Prior and Decoder components, we implemented the sophisticated ViT-L/14 text encoder from OpenAI's CLIP library. To enhance the model’s performance, we made a significant modification to the original unCLIP framework; instead of employing a trainable transformer within the decoder, we integrated the text encoder from ViT-L/14, significantly boosting the model's potential. This strategic modification not only simplified the architectural design but also played a crucial role in enhancing both the quality and fidelity of the generated images, thus marking a significant advancement in the field. Overall, Karlo's innovative approach represents a meaningful step forward in the integration of text and visual content.
Integrations Supported
B^ DISCOVER
B^ EDIT
API Availability
Has API
API Availability
Has API
Pricing Information
$0.0002 per second
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Replicate
Date Founded
2019
Company Location
United States
Company Website
replicate.com/pixray/text2image
Company Facts
Organization Name
Kakao Brain
Date Founded
2017
Company Location
South Korea
Company Website
github.com/kakaobrain/karlo