From d9d7f34b226b8125751d45ac089d5b032fd89751 Mon Sep 17 00:00:00 2001 From: Brett Kuprel Date: Thu, 30 Jun 2022 15:33:53 -0400 Subject: [PATCH] update readme --- README.md | 2 +- examples/artificial_intelligence.png | Bin 112771 -> 130427 bytes 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 14d062b..48ce374 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 about 10 seconds to generate an avocado armchair with DALL·E Mega in PyTorch on Colab (with reusable model and high-RAM runtime) +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. ### Setup diff --git a/examples/artificial_intelligence.png b/examples/artificial_intelligence.png index 30b3f43a474ce44031b12799c5bdec405af74ff7..978a6e44b2c1342aeb380ca4f41123481f6db0dd 100644 GIT binary patch literal 130427 zcmV)BK*PU@P)h z000mI60ib90096%1VI1>AW(uL;sAgUS#}>LBtQTlCIAKyLiB{7P^n+yirWTL|Tv#Km?hPNTUZrFXR~m2x34jq&*UlW)Kl-G-}@4YUqW%3Bn*C z24#ZOBak+L%14by-ud9ACol9nJpooh)NHk)*c84Ro1GCrwz4zmtgb9i9=^j?`tqxn zA)Tx#9~&Jv^r)~!Sc@8I<-#BcOhoeZkVCUIT{o!)jZITJ>4Q^$jTiB@)&my(%gw!I8t3X?J1 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