Audience

AI developers interested in an image generation model

About Karlo

Karlo stands as a groundbreaking model for generating images based on text prompts. It builds upon OpenAI's remarkable unCLIP architecture but takes a step further by enhancing the standard super-resolution model, allowing it to recover intricate details at a remarkable resolution of 256px, all while minimizing noise through a limited number of denoising steps.

To create Karlo, we embarked on an extensive training process. We started from scratch, utilizing a vast dataset of 115 million image-text pairs, which included COYO-100M, CC3M, and CC12M. In the case of the Prior and Decoder components, we harnessed the power of ViT-L/14, a text encoder from OpenAI's CLIP repository. To optimize efficiency, we made a significant modification to the original unCLIP implementation. Instead of employing a trainable transformer in the decoder, we integrated the text encoder from ViT-L/14.

Pricing

Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.

Integrations

Ratings/Reviews

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Company Information

Kakao Brain
Founded: 2017
South Korea
github.com/kakaobrain/karlo

Videos and Screen Captures

Karlo Screenshot 1
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Product Details

Platforms Supported
SaaS
On-Premises
Training
Documentation

Karlo Frequently Asked Questions

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Karlo Product Features