Pix2pix Zero

cjwbw

AI model preview image
The pix2pix-zero model is an image-to-image translation model that allows for zero-shot translation. It can generate outputs for unseen input-output pairs without retraining the model. The model achieves this through latent space interpolation and reconstruction. It is trained using a variational autoencoder (VAE) architecture and a GAN objective function. This enables it to learn a shared latent space representation for the input and output domains. The model can be used to perform various image translation tasks, such as converting sketches to color images or converting aerial images to maps, without needing to train on specific input-output pairs.

Use cases

The pix2pix-zero model has several potential use cases for technical audiences. One use case could be in the field of computer graphics, where the model could be used to generate realistic images based on rough sketches or low-resolution input. This could be particularly useful in game development, where artists could quickly iterate on designs by sketching out rough ideas and using the model to generate high-quality images. Another use case could be in the field of urban planning and architecture, where the model could be used to generate realistic maps based on aerial images. This could aid in the visualization of proposed architectural designs or in the creation of detailed urban planning models. In addition, the model could be used in the field of image editing and enhancement, allowing users to easily transform images into a desired style or apply artistic filters without needing to train the model on specific styles or filters. Overall, the pix2pix-zero model has the potential to simplify and streamline various image translation tasks, opening up new possibilities in computer graphics, urban planning, and image editing.

Image-to-Image

Pricing

Cost per run
$-
USD
Avg run time
-
Seconds
Hardware
Nvidia A100 (40GB) GPU
Prediction

Creator Models

ModelCostRuns
Night Enhancement$0.0104520,721
Mindall E$?1,645
Compositional Vsual Generation With Composable Diffusion Models Pytorch$0.01155774
Idefics$?538
Stable Diffusion Aesthetic Gradients$?346

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Try it!

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Overview

Summary of this model and related resources.

PropertyValue
Creatorcjwbw
Model NamePix2pix Zero
Description
Zero-shot Image-to-Image Translation
TagsImage-to-Image
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkNo paper link provided

Popularity

How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

PropertyValue
Runs4,206
Model Rank
Creator Rank

Cost

How much does it cost to run this model? How long, on average, does it take to complete a run?

PropertyValue
Cost per Run$-
Prediction HardwareNvidia A100 (40GB) GPU
Average Completion Time-