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Download README.md from danyalmalik/tiny-sd-ONNX-WebGPU: direct link, hf CLI and curl.
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https://huggingface.co/danyalmalik/tiny-sd-ONNX-WebGPU/resolve/main/README.md
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hf download hf://danyalmalik/tiny-sd-ONNX-WebGPU/README.md
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curl -L -o README.md https://huggingface.co/danyalmalik/tiny-sd-ONNX-WebGPU/resolve/main/README.md
1.11 kB
metadata
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 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,unetandvae_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.