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Restyle_​encoder

yuval-alaluf

AI model preview image
The restyle_encoder model is an image-to-image model that aims to encode the style of an input image and transfer it to a different target image. It uses a residual-based approach and iterative refinement to achieve this. The model takes an input image and a target image as input and outputs an encoded image that has the same style as the input image and the same content as the target image. This model is useful for style transfer tasks where the style of one image is desired on the content of another image.

Use cases

The restyle_encoder AI model has several potential use cases in various industries. For example, in the fashion industry, this model can be used to transfer the style of a particular garment or fashion accessory onto a different image, allowing designers to experiment with different combinations and designs. In the architecture and interior design industry, the model can be used to apply the style of a specific building or interior design onto different images, allowing architects and designers to visualize the final look of a project before it is built. Additionally, in the gaming industry, this model can be used to transfer the style of an artwork or concept design onto in-game assets, creating consistent and visually appealing visuals. Overall, the restyle_encoder model has the potential to be incorporated into various products and tools for creative professionals, enabling quicker and more efficient style transfer tasks. For example, it could be used to develop a user-friendly software application that allows users to easily apply different styles to their images or designs, providing them with a convenient way to experiment and explore creative possibilities. Additionally, this model could be integrated into image editing software to provide an advanced style transfer feature that enhances the capabilities of traditional editing tools.

Image-to-Image

Pricing

Cost per run
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USD
Avg run time
-
Seconds
Hardware
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Prediction

Creator Models

ModelCostRuns
Restyle_encoder$?78,542
Sam$0.01485702,695

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Restyle_​encoder model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.

Overview

Summary of this model and related resources.

PropertyValue
Creatoryuval-alaluf
Model NameRestyle_​encoder
Description
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement
TagsImage-to-Image
Model LinkView on Replicate
API SpecView on Replicate
Github LinkNo Github link provided
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
Runs31,100
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 Hardware-
Average Completion Time-