| license: creativeml-openrail-m | |
| base_model: | |
| - segmind/tiny-sd | |
| tags: | |
| - onnx | |
| - webgpu | |
| - stable-diffusion | |
| - text-to-image | |
| - quick-inference | |
| # tiny-sd-ONNX-WebGPU | |
| [segmind/tiny-sd](https://huggingface.co/segmind/tiny-sd) converted to ONNX for running in a web browser with | |
| ONNX Runtime Web's WebGPU backend, as used by Quick Inference. | |
| ## Changes from the original | |
| - Converted to ONNX (opset 17) with PyTorch's exporter: `text_encoder`, `unet` and `vae_decoder`. | |
| - The text encoder and the UNet are float16; both take and return float32. The VAE decoder is float32. | |
| These are modified files: their outputs are close to, but not identical to, the original model's. | |
| ## Licence and use restrictions | |
| Licensed under the CreativeML Open RAIL-M License, as the original (LICENSE.md). Its use-based restrictions (paragraph 5 | |
| and Attachment A) apply to these files and to anything made from them: you may not use them for the uses listed in | |
| Attachment A, and if you distribute them or a derivative you must include those restrictions as an enforceable | |
| provision and give recipients a copy of the licence. | |