| --- |
| 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. |
|
|
