From 27642edbe6a037268efba9dc5fd7895f1b31b326 Mon Sep 17 00:00:00 2001 From: Brett Kuprel Date: Thu, 7 Jul 2022 08:56:25 -0400 Subject: [PATCH] update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) 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(