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text-to-image
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text-to-image

Text to image synthesis using thought vectors

by paarthneekhara · GitHub
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deep-learninggenerative-adversarial-networkskip-thought-vectorsMITPython
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In plain words

Create images based on text descriptions using a machine learning model that understands captions.

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2 1612 160
2026-07-072026-08-31
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Text to image synthesis using thought vectors

text-to-image has 2.2k stars on GitHub. It has been forked 398 times. text-to-image is written mainly in Python. It has been in active development since 2016. text-to-image is available under the MIT license. Its main topics are deep-learning, generative-adversarial-network, skip-thought-vectors, tensorflow.

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Frequently asked questions

What is text-to-image?

Text to image synthesis using thought vectors

Is text-to-image open source?

text-to-image is an open-source project. It is released under the MIT license.

Is text-to-image free?

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

What license does text-to-image use?

text-to-image is available under the MIT license.

What language is text-to-image written in?

text-to-image is written mainly in Python.

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