From f8bffc6892304c2d02fb89aca5f706c677fb3c9d Mon Sep 17 00:00:00 2001 From: Brett Kuprel Date: Thu, 30 Jun 2022 21:03:56 -0400 Subject: [PATCH] update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6c10b9b..9699304 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@ This is a minimal implementation of Boris Dayma's [DALL·E Mini](https://github.com/borisdayma/dalle-mini). It has been stripped to the bare essentials necessary for doing inference, and converted to PyTorch. To run the torch model, the only third party dependencies are numpy and torch. Flax is used to convert the weights (which are saved with `torch.save` the first time the model is loaded), and wandb is only used to download the models. -It currently takes about 10 seconds to generate an avocado armchair with DALL·E Mega in PyTorch on Colab with a reusable model and high-RAM GPU runtime. +It currently takes **7.4 seconds** to generate an image with DALL·E Mega in PyTorch on Colab ### Setup