Update README.md

README.md

@@ -19,7 +19,7 @@ Note: The autoencoder uploaded here is the same checkpoint as v1.
 We also provide a separate checkpoint for the custom KL autoencoder. As suggested by the Latent Diffusion paper, we found that training the autoencoder and the latent diffusion model separately improves the result. Since the official stable diffusion script does not support loading the other VAE, in order to run it in your script, you'll need to override state_dict for first_stage_model.
 The popular WebUI has the script to load separate first_stage_model parameters.
 #### Safety Consideration
-The dataset has been filtered to extremely NSFW materials, but slightly less strict than v1. As with any other image generation model, we don't recommend deploying this model publicly without safety considerations and measures. Depends on prompting, one may still be able to extract highly questionable images from this model. This statement does not necessarily restrict third-party from training a derivative or mix of this model that includes NSFW.
+The dataset has been filtered to avoid extremely NSFW materials, but slightly less strict than v1. As with any other image generation model, we don't recommend deploying this model publicly without safety considerations and measures. Depends on prompting, one may still be able to extract highly questionable images from this model. This statement does not necessarily restrict third-party from training a derivative or mix of this model that includes NSFW.
 #### Examples
 Below images are directly generated by the native TrinArt service with its idiosyncratic upscaler, parser and processes. Your mileage may vary.
 ![examples](https://pbs.twimg.com/media/FfKMgTSUUAAVnCN?format=jpg)