From cdc7da70ffd8daaa852aef9e9a1c15eaf7ba5253 Mon Sep 17 00:00:00 2001 From: Pedro Cuenca Date: Tue, 13 Dec 2022 14:24:25 +0100 Subject: [PATCH] Add screenshot to README. --- README.md | 3 +++ screenshot.jpg | Bin 0 -> 193746 bytes 2 files changed, 3 insertions(+) create mode 100644 screenshot.jpg diff --git a/README.md b/README.md index 32140b6..6db06ab 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,9 @@ This is a simple app that shows how to integrate Apple's [Core ML Stable Diffusion implementation](https://github.com/apple/ml-stable-diffusion) in a native Swift UI application. It can be used for faster iteration, or as sample code for other use cases. +This is what it looks like: +![App Screenshot](screenshot.jpg) + On first launch, the application downloads a zipped archive with a Core ML version of Runway's Stable Diffusion v1.5, from [this location in the Hugging Face Hub](https://huggingface.co/pcuenq/coreml-stable-diffusion/tree/main). This process takes a while, as several GB of data have to be downloaded and unarchived. For faster inference, we use a very fast scheduler: [DPM-Solver++](https://github.com/LuChengTHU/dpm-solver) that we ported to Swift. Since this scheduler is still not available in Apple's GitHub repository, the application depends on the following fork instead: https://github.com/pcuenca/ml-stable-diffusion. Our Swift port is based on [Diffusers' DPMSolverMultistepScheduler](https://github.com/huggingface/diffusers/blob/main/src/diffusers/schedulers/scheduling_dpmsolver_multistep.py), with a number of simplifications. diff --git a/screenshot.jpg b/screenshot.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0e197dc3ee01e441778d669c1b77664a9029954e GIT binary patch literal 193746 zcmbrm2UJtb7d{$9MMcF5(p3;eq>1zry@=QlktQXe(xi7V1j4nVv`FtkK}33!8j6ba z5~%?KiBb{>gaDx>A>o~1x%dA5@4fZbdLt{zIcN4cb7uC;{^r|zyE(M^9dzLOm1|c( z92_9fYv3Pf6AO9<9I?wb;E!|Lwr!l-If1f$=XQ44$+dH%N*ixLF zJAgm#T|0OEIsgCp$L1H%!Cjo>?ZuoNCqdf|a&R8x*!&6-1#y5lwsQha1N|;s+js2T z#lg9I+aB)C5zwxmSC|{WFaPVCbAlMD;!Q;hEf6CgdADfnhr_FcHkckn;_Ty}Cy5~% z-k(&z1J~GM94#7NAXQc3Yki$qA%Tm8vINXt5(iM%81gMP~m+kY`7v zuF%uSN5BodCXoBtcjo|ZIr-fSxME2~V}OEpI4-IQ)`UPHn!#YO3`odJXkq^&5YQIj zPxS{H#H9gP|mMZ%~D{##I?qJ`ZUBSB%$*#_RcPnV zQ<5trAT39MH8uOLAn)+$3fRqG^1P|)5)F_%RIYwxvbtRuZ{w*mrtQ|wa{`%l2TrG1 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