EdVince/Stable-Diffusion-NCNN

Health v2 · maintenance only

Adoption not part of the score

1067 stars · 103 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A C++ implementation of Stable Diffusion using the NCNN inference framework, supporting both txt2img and img2img. It runs on x86 Windows executables and Android devices without requiring Python or GPU servers.

Use cases

• generate images from text prompts on-device
• run stable diffusion on android phone
• txt2img inference in c++ without python
• img2img on cpu with ncnn
• embed stable diffusion into a mobile app
• offline image generation on windows

When to choose

• you need stable diffusion running natively in C++ or on Android
• you want offline, serverless image generation on CPU
• you need a lightweight alternative to Python-based diffusion pipelines

When to avoid

• you need the latest Stable Diffusion models or features like SDXL
• you want fast high-resolution generation (it is slow and RAM-heavy)
• you need GPU-accelerated production inference

Facets

library · maturity maintenance

machine-learning llm-inference image-processing stable-diffusion machine-learning image-processing artificial-intelligence mobile-development cpp windows cross-platform stable-diffusion ncnn txt2img img2img on-device-inference text-to-image android

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