Add readme and license

.gitignore

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+.DS_Store

LICENSE.md

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+MIT License
+
+Copyright (c) 2023 Softwired Technologies Ltd.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

README.md

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+# Stable Diffusion on [tinygrad](https://github.com/tinygrad/tinygrad) WebGPU
+
+This is a WebGPU port of Stable Diffusion in [tinygrad](https://github.com/tinygrad/tinygrad).<br>
+The python code I wrote to compile and export the model can be found [here](https://github.com/tinygrad/tinygrad/blob/master/examples/webgpu/stable_diffusion/compile.py)
+
+## How it works
+
+The Stable Diffusion model is exported in three parts:
+- textModel
+- diffusor
+- decoder
+
+If you open [net.js](./net.js) you can see all the WebGPU kernels that are involved in the inference.<br>
+When you open the page for the first time, the model will be downloaded from [huggingface](https://huggingface.co/wpmed/tinygrad-sd-f16/resolve/main) in tinygrad's safetensor format. The model is in f16 to optimize download speed.<br>
+Since the computation is done in `f32` in the model, and since `shader-f16` is not yet supported in production Chrome, the model is decompressed to `f32` using [f16_to_f32.js](./f16_to_f32.js).<br>
+When you open the site a second time, the model will be loaded from the `IndexedDB` cache into which it was saved on first visit. If you have a full cache hit, the model will be decompressed, compiled and ready to use. If you have a cache miss (usually due to `QuotaExceededError`), the model will be redownloaded.
+
+## License
+
+MIT