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generation/README.md

@@ -80,4 +80,4 @@ Examples show how to perform super-resolution in 2D, using PyTorch and PyTorch L
 Example shows how to perform classifier-free guidance inference on a DDPM trained on MedNIST Head and Hand data.
 
 ## [Guidance of the diffusion process using an image encoder](./2d_diffusion_autoencoder/2d_diffusion_autoencoder_tutorial.ipynb)
-Example shows how to train an encoder and DDPM simultaenously to guide the diffusion process using the latents of the encoder. 
+Example shows how to train an encoder and DDPM simultaenously to guide the diffusion process using the latents of the encoder.