add diagram for latent self conditioning from paper

Author: lucidrains

README.md

@@ -1,5 +1,7 @@
 <img src="./rin.png" width="500png"></img>
 
+<img src="./latent-self-conditioning.png" width="600px"></img>
+
 ## Recurrent Interface Network (RIN) - Pytorch (wip)
 
 Implementation of <a href="https://arxiv.org/abs/2212.11972">Recurrent Interface Network (RIN)</a>, for highly efficient generation of images and video without cascading networks, in Pytorch. The author unawaredly reinvented the <a href="https://github.com/lucidrains/isab-pytorch">induced set-attention block</a> from the <a href="https://arxiv.org/abs/1810.00825">set transformers</a> paper. They also combine this with the self-conditioning technique from the <a href="https://arxiv.org/abs/2208.04202">Bit Diffusion paper</a>, specifically for the latents.