From c8f33043638715fd9f9757bbf0a1d9ec82b686e6 Mon Sep 17 00:00:00 2001 From: Brett Kuprel Date: Thu, 30 Jun 2022 15:18:29 -0400 Subject: [PATCH] update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 46724cc..14d062b 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 can be saved with `torch.save` once the model is loaded), and wandb is only used to download the models. -It currently takes **7.3 seconds** to generate an avocado armchair with DALL·E Mega in PyTorch on Colab +It currently takes about 10 seconds to generate an avocado armchair with DALL·E Mega in PyTorch on Colab (with reusable model and high-RAM runtime) ### Setup