stable-diffusion.cpp and ADI-Stable-Diffusion
These are competitors offering alternative C/C++ implementations for running diffusion model inference via ONNX Runtime, with the first supporting a broader range of model architectures (SD, Flux, Qwen) while the second emphasizes cross-platform acceleration as a unified framework.
About stable-diffusion.cpp
leejet/stable-diffusion.cpp
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
This project helps artists, designers, and content creators generate images and videos from text descriptions using popular diffusion models like Stable Diffusion, FLUX, and Wan. You provide a text prompt describing your desired image or video, and it outputs the corresponding visual content. This tool is for anyone who wants to create digital art or media efficiently on their own computer, without relying on cloud services.
About ADI-Stable-Diffusion
Windsander/ADI-Stable-Diffusion
Accelerate your Stable Diffusion inference with the library's universal C/C++ framework design, powered by ONNXRuntime & across platforms.
This project helps integrate Stable Diffusion models into applications for image generation tasks. It takes text prompts and optional input images, then quickly produces new images based on those inputs. It's designed for software developers building applications that need fast, efficient, and cross-platform image generation capabilities powered by Stable Diffusion.
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