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README.md

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 ---
-license: agpl-3.0
+license: other
+license_name: stability-ai-community-license
+license_link: https://huggingface.co/stabilityai/sd-turbo/blob/main/LICENSE.md
+base_model: stabilityai/sd-turbo
+library_name: onnxruntime-web
+tags:
+  - onnx
+  - stable-diffusion
+  - sd-turbo
+  - webgpu
+  - obsidian
+pipeline_tag: text-to-image
 ---
+
+# Local Image Generator — model assets
+
+Asset repository for the Obsidian plugin **Local Image Generator**
+(https://github.com/johannes-kaindl/local-image-generator). The plugin's built-in engine
+downloads these files **only after the user clicks "Download"**, verifies each file against a
+SHA-256 pinned in the plugin release, and stores them outside the vault.
+
+## Contents
+
+| Path | What it is |
+|---|---|
+| `sd-turbo/text_encoder/model.onnx` | CLIP text encoder, fp16 weights, fp32 inputs/outputs |
+| `sd-turbo/unet/model.onnx` | UNet, fp16 weights, fp32 inputs/outputs (`timestep` is a 0-d float32 scalar) |
+| `sd-turbo/vae_decoder/model.onnx` | VAE decoder, fp16 weights, fp32 inputs/outputs |
+| `sd-turbo/tokenizer/vocab.json`, `merges.txt` | CLIP BPE tokenizer data |
+| `sd-turbo/LICENSE.md`, `sd-turbo/NOTICE.md` | Stability AI Community License and attribution |
+| `runtime/ort-<version>/ort-wasm-simd-threaded.asyncify.wasm` | ONNX Runtime Web (MIT), the exact build the plugin version links against |
+
+## Provenance
+
+The ONNX files are the plugin's **own conversion** of the official
+[`stabilityai/sd-turbo`](https://huggingface.co/stabilityai/sd-turbo) weights: `optimum`
+ONNX export, then onnxruntime's float16 conversion with `keep_io_types=True`. The script is
+`tools/convert/convert_sd_turbo.py` in the plugin repository; no third-party conversion is
+used. **Powered by Stability AI.**
+
+## License
+
+The model files are redistributed under the
+[Stability AI Community License](https://huggingface.co/stabilityai/sd-turbo/blob/main/LICENSE.md)
+(research, non-commercial and limited commercial use free of charge — see the license for
+the revenue threshold). The ONNX Runtime WASM is MIT. The plugin itself is AGPL-3.0-or-later.