diff --git a/README.md b/README.md
index 2223661..acc4e7c 100644
--- a/README.md
+++ b/README.md
@@ -36,7 +36,7 @@ model = MinDalle(
 )
 ```
 
-The required models will be downloaded to `models_root` if they are not already there.  If you have an Ampere architecture GPU you can set the `dtype=torch.bfloat16` and save GPU memory.  There is still an issue with `torch.float16` that needs to be sorted out.  Once everything has finished initializing, call `generate_image` with some text as many times as you want.  Use a positive `seed` for reproducible results.  Higher values for `log2_supercondition_factor` result in better agreement with the text but a narrower variety of generated images.  Every image token is sampled from the top-$k$ most probable tokens.
+The required models will be downloaded to `models_root` if they are not already there.  Set the `dtype` to `torch.float16` to save GPU memory.  If you have an Ampere architecture GPU you can use `torch.bfloat16`.  Once everything has finished initializing, call `generate_image` with some text as many times as you want.  Use a positive `seed` for reproducible results.  Higher values for `log2_supercondition_factor` result in better agreement with the text but a narrower variety of generated images.  Every image token is sampled from the top-$k$ most probable tokens.
 
 ```python
 image = model.generate_image(