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Jun 5, 2017
Jun 5, 2017
Apr 11, 2017

Text To Image Synthesis

This is a tensorflow implementation of synthesizing images. The images are synthesized using the GAN-CLS Algorithm from the paper Generative Adversarial Text-to-Image Synthesis. This implementation is built on top of the excellent DCGAN in Tensorflow.

Plese star

Model architecture

Image Source : Generative Adversarial Text-to-Image Synthesis Paper



  • The model is currently trained on the flowers dataset. Download the images from here and save them in 102flowers/102flowers/*.jpg. Also download the captions from this link. Extract the archive, copy the text_c10 folder and paste it in 102flowers/text_c10/class_*.

N.B You can downloads all data files needed manually or simply run the and put the correct files to the right directories.



  • download Oxford-102 flower dataset and caption files(run this first).
  • load data for further processing.
  • train a text to image model.
  • helper functions.
  • models.



  • the flower shown has yellow anther red pistil and bright red petals.
  • this flower has petals that are yellow, white and purple and has dark lines
  • the petals on this flower are white with a yellow center
  • this flower has a lot of small round pink petals.
  • this flower is orange in color, and has petals that are ruffled and rounded.
  • the flower has yellow petals and the center of it is brown
  • this flower has petals that are blue and white.
  • these white flowers have petals that start off white in color and end in a white towards the tips.


Apache 2.0