diff --git a/README.md b/README.md
index deaab34..cf47eef 100644
--- a/README.md
+++ b/README.md
@@ -62,4 +62,10 @@ Step 29999      Test ELBO estimate: -106.803    Test log p(x) estimate: -97.620
 Total time: 2.350 minutes
 ```
 
-(The difference between a mean field and inverse autoregressive flow may be due to several factors, chief being the lack of convolutions in the implementation. Residual blocks are used in https://arxiv.org/pdf/1606.04934.pdf to get the ELBO closer to -80 nats.)
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+(The difference between a mean field and inverse autoregressive flow may be due to several factors, chief being the lack of convolutions in the implementation. Residual blocks are used in https://arxiv.org/pdf/1606.04934.pdf to get the ELBO closer to -80 nats.)
+
+# Generating the GIFs
+
+1. Run `python train_variational_autoencoder_tensorflow.py`
+2. Install imagemagick (homebrew for Mac: https://formulae.brew.sh/formula/imagemagick or Chocolatey in Windows: https://community.chocolatey.org/packages/imagemagick.app)
+3. Go to the directory where the jpg files are saved, and run the imagemagick command to generate the .gif: `convert -delay 20 -loop 0 *.jpg latent-space.gif`