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cross-image-attention
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cross-image-attention

Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"

by garibida · GitHub
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appearance-transferdiffusion-modelsstable-diffusionMITPython
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Transfer the visual style between two images using advanced AI techniques.

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📄 About

Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"

cross-image-attention has 404 stars on GitHub. It has been forked 28 times. cross-image-attention is written mainly in Python. It has been in active development since 2023. cross-image-attention is available under the MIT license. Its main topics are appearance-transfer, diffusion-models, stable-diffusion, style-transfer.

Frequently asked questions

What is cross-image-attention?

Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"

Is cross-image-attention open source?

cross-image-attention is an open-source project. It is released under the MIT license.

Is cross-image-attention free?

Yes. cross-image-attention is free and open source — you can use, modify and self-host it.

What license does cross-image-attention use?

cross-image-attention is available under the MIT license.

What language is cross-image-attention written in?

cross-image-attention is written mainly in Python.

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