Karlo Description
Karlo is a model that generates images from text prompts. It builds on OpenAI's unCLIP architecture, but goes a step beyond by enhancing the super-resolution standard model, allowing for intricate details to be recovered at a remarkable 256px resolution, all while minimising noise through a small number of denoising stages.
We embarked on a lengthy training process to create Karlo. We started from the beginning, using a large dataset of 115 millions image-text pairs. This included COYO100M, CC3M and CC12M. For the Prior and Decoder components we used the power of ViT/L/14, an OpenAI CLIP text encoder. We made a significant change to the unCLIP implementation in order to optimize efficiency. We integrated the text encoder of ViT-L/14 into the decoder instead of using a trainable transform.
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Imagen 3
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pixray
Pixray is an image-generation system. It combines existing ideas, such as Perception Engines, which uses image augmentation and iteratively optimizes the images against a group of classifiers. CLIP-guided GAN imagery by Ryan Murdoch and Katherine Crowson, as well as modifications like CLIPDraw by Kevin Frans. Sampling Generative Networks offers useful ways to navigate latent space. Pixray can be used to create an image from a text prompt. Predictions are run on Nvidia T4 GPU hardware. Predictions are usually completed in 7 minutes. Based on the inputs, the predicted time for this model can vary greatly. pixray is a command-line utility and python library. Replicate is free to use, but you will be asked for your credit card information after a while. The prediction you run is charged by the second. The hardware on which the model is run will affect the price per second. Different models require different hardware.
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Pricing
Pricing Starts At:
Free
Pricing Information:
Open source
Free Version:
Yes
Integrations
Company Details
Company:
Kakao Brain
Year Founded:
2017
Headquarters:
South Korea
Website:
github.com/kakaobrain/karlo
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Product Details
Platforms
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