From e087c53482fba73fe77127651dae63905934520d Mon Sep 17 00:00:00 2001 From: Brett Kuprel Date: Sat, 2 Jul 2022 09:13:05 -0400 Subject: [PATCH] update readme --- README.md | 4 ++-- examples/gollum_trailcam.png | Bin 83606 -> 913046 bytes 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 922eada..7e9b678 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ 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 and torch. -It currently takes **7.4 seconds** to generate an image with DALL·E Mega on a standard GPU runtime in Colab. +It currently take **35 seconds** to generate a 3x3 grid with DALL·E Mega on a standard GPU runtime in Colab. The flax model and code for converting it to torch can be found [here](https://github.com/kuprel/min-dalle-flax). @@ -41,7 +41,7 @@ display(image) ```python text = "trail cam footage of gollum eating watermelon" -image = model.generate_image(text, seed=1) +image = model.generate_image(text, seed=1, grid_size=3) display(image) ``` ![Gollum Trailcam](https://github.com/kuprel/min-dalle/raw/main/examples/gollum_trailcam.png) diff --git a/examples/gollum_trailcam.png b/examples/gollum_trailcam.png index fdb3d0bf6b7d26eaed1ff36200ed0ab0daf15d7e..56be0b73cbdb1c7e8e84d1fc80a846427564aa7e 100644 GIT binary patch literal 913046 zcmV)fK&8KlP)TxtbTBtA2%<>FO@gRY&oVOc@bdxiA5-)?C2M zx5ri)nT$v>Nvn{(yLIgqqF~)Xd1ON*lM=wkn4n&|boq>6D+#cfXU)9?mQUDNv5Kuwkop(-kDn;-1 zN{{Qg)8WToeZ2FJDjeSbJ1-VKQ1jHKLo533t9W#)dbqFooBN~biP4AiBTWE2Ut3=O z_3G@`|Nhs{PR?_;Cu4E|v8ovsO?|W7v7xH1B#=V7zPv~=?6&=9zxvcyRuU0|W(h+u z-U8(`Bw)K*ok-TJ%YDz1`eg zJLAuvoy9PYA@zOF1S$}78v5v+C3Jq_a~4u1wxB2`6XSpVKmOCBZ`iv(;$z<)|L%uZ 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