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README.md

@@ -214,8 +214,6 @@ Let's see the whole script below
 import torch
 from dalle2_pytorch import DALLE2, DiffusionPriorNetwork, DiffusionPrior, Unet, Decoder, CLIP
 
-import torch
-
 clip = CLIP(
     dim_text = 512,
     dim_image = 512,
@@ -303,6 +301,8 @@ images = dalle2(['cute puppy chasing after a squirrel'])
 
 Everything in this readme should run without error
 
+For the layperson, no worries, training will all be automated into a CLI tool, at least for small scale training.
+
 ## Training CLI (wip)
 
 <a href="https://github.com/lucidrains/stylegan2-pytorch">template</a>
@@ -364,3 +364,5 @@ Everything in this readme should run without error
     primaryClass = {cs.LG}
 }
 ```
+
+*Creating noise from data is easy; creating data from noise is generative modeling.* - Yang Song's <a href="https://arxiv.org/abs/2011.13456">paper</a>