Add ExecuTorch WebGPU program for real-esrgan

README.md

@@ -13,7 +13,7 @@ tags:
 This repository contains an [ExecuTorch](https://github.com/pytorch/executorch) conversion of
 https://github.com/xinntao/Real-ESRGAN (realesr-general-x4v3) for the ExecuTorch **WebGPU** backend, so the model runs entirely in a web browser on
 the visitor's GPU. It powers the corresponding demo in the
-[ExecuTorch Playground](https://executorch.ai/playground/webgpu/).
+ExecuTorch WebGPU Playground (launching soon on [executorch.ai](https://executorch.ai)).
 
 - **Base model:** https://github.com/xinntao/Real-ESRGAN (realesr-general-x4v3)
 - **Format:** ExecuTorch `.pte` programs delegated to the WebGPU backend
@@ -32,12 +32,12 @@ Full checksums are in `manifest.json`. The playground verifies them after downlo
 
 These programs need the ExecuTorch WebGPU runtime compiled to WebAssembly
 ([backends/webgpu](https://github.com/pytorch/executorch/tree/main/backends/webgpu)). The easiest way to
-try the model is the [ExecuTorch Playground](https://executorch.ai/playground/webgpu/), which downloads these
-files once, caches them in the browser, and runs everything locally.
+try the model is the ExecuTorch WebGPU Playground (launching soon on [executorch.ai](https://executorch.ai)),
+which downloads these files once, caches them in the browser, and runs everything locally.
 
 ## Provenance
 
-- **Weights:** `clavidk/realesr-general-x4v3` @ `6aecc46ba1fc8cfdfe8643f090782e2e62c044cd`, file `realesr-general-x4v3.pth`, sha256 `8dc7edb9ac80ccdc30c3a5dca6616509367f05fbc184ad95b731f05bece96292` (community mirror; official source to be confirmed)
+- **Weights:** `clavidk/realesr-general-x4v3` @ `6aecc46ba1fc8cfdfe8643f090782e2e62c044cd`, file `realesr-general-x4v3.pth`, sha256 `8dc7edb9ac80ccdc30c3a5dca6616509367f05fbc184ad95b731f05bece96292` (from a community mirror of the official release)
 - **Exported with:** executorch 1.5.1+cpu, torch 2.14.1+cpu, torchao 0.18.0+cpu, transformers 5.19.0 (executorch git `3b6068392324`)
 - **Reproduce:** `python recipes/real-esrgan.py --out out/real-esrgan` (recipe in `export/`)
 - Re-running the recipe produces byte-identical files.