Shypd.aiThe largest open index of AI toolsStable-Diffusion-NCNN is an open-source C++ implementation of Stable Diffusion using the NCNN framework. It supports both text-to-image and image-to-image generation, optimized for various hardware platforms.
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Stable-Diffusion-NCNN is a C++ implementation of the Stable Diffusion model, leveraging the NCNN deep learning inference framework. This open-source project supports both text-to-image (txt2img) and image-to-image (img2img) generation capabilities. It is designed for efficient deployment on various hardware, including x86 Windows, x86 Linux, macOS, and Android, with specific performance metrics provided for different resolutions and devices. The implementation includes dynamic shape resolution, support for positive and negative prompts, and utilizes the Euler ancestral sampler. Users can download pre-compiled executables and models or compile the project from source, making it accessible for developers and researchers looking to integrate Stable Diffusion into their applications.
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