Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM)
Run AI models like Stable Diffusion on various devices using a lightweight library.
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Free · no card · unsubscribe anytimeLightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM)
OnnxStream has 2.1k stars on GitHub. It has been forked 97 times. OnnxStream is written mainly in C++. It has been in active development since 2023. Its main topics are llama, machine-learning, mistral, onnx.
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM)
OnnxStream is an open-source project.
Yes. OnnxStream is free and open source — you can use, modify and self-host it.
OnnxStream is written mainly in C++.
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