diff --git a/README.md b/README.md
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@@ -22,7 +22,7 @@ Alternatively, you can follow the setup from [PEFT](https://huggingface.co/docs/
 The files needed to create *w2w* space, load models, train classifiers, etc. can be download at this [link](https://drive.google.com/file/d/1W1_klpdeCZr5b0Kdp7SaS7veDV2ZzfbB/view?usp=sharing). Keep the folder structure and place it into the `weights2weights` folder containing all the code.
 
 ## Sampling 
-We provide an interactive notebook for sampling new identity-encoding models from *w2w* space in `sampling/sampling.ipynb`. Instructions are provided in the notebook. Once a model is sampled, you can run typical inference with various text prompts and generation seeds as with a typical personalized model. The model can also be saved.
+We provide an interactive notebook for sampling new identity-encoding models from *w2w* space in `sampling/sampling.ipynb`. Instructions are provided in the notebook. Once a model is sampled, you can run typical inference with various text prompts and generation seeds as with a typical personalized model. 
 
 ## Inversion 
 We provide an interactive notebook for inverting a single image into a model in *w2w* space in `inversion/inversion_real.ipynb`. Instructions are provided in the notebook. We provide another notebook that with an example of inverting an out-of-distribution identity in `inversion/inversion_ood.ipynb`. Assets for these notebooks are provided in `inversion/images/` and you can place your own assets in there.