From bf1acab78a3b34d3b8272cacb782d9b26ba86d5e Mon Sep 17 00:00:00 2001 From: Brett Kuprel Date: Sat, 2 Jul 2022 12:32:54 -0400 Subject: [PATCH] update readme --- .gitignore | 1 + README.md | 4 +++- 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index acbfd20..4a56a38 100755 --- a/.gitignore +++ b/.gitignore @@ -15,3 +15,4 @@ dist build README +.cog diff --git a/README.md b/README.md index 615d6f4..8e3c1bf 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,9 @@ This is a minimal implementation of Boris Dayma's [DALL·E Mini](https://github.com/borisdayma/dalle-mini) in PyTorch. It has been stripped to the bare essentials necessary for doing inference. The only third party dependencies are numpy, requests, pillow and torch. -It currently take **35 seconds** to generate a 3x3 grid with DALL·E Mega on a standard GPU runtime in Colab. +To generate a 3x3 grid of DALL·E Mega images it takes +- **35 seconds** with the standard GPU runtime in Colab +- **15 seconds** with an A100 on replicate The flax model and code for converting it to torch can be found [here](https://github.com/kuprel/min-dalle-flax).