Imagem
local-dream
Run Stable Diffusion on Android Devices with Snapdragon NPU acceleration. Also supports CPU/GPU inference.
★ 3,6 mil estrelasUnknown
Ver o guia →Ai-Systems-New é um projeto de imagem de código aberto de Siddhesh2377 (Siddhesh2377/Ai-Systems-New no GitHub). Tem 33 estrelas no GitHub e 7 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 16 de maio de 2026.
On-device AI SDK for Android — LLM chat, Stable Diffusion and image tools
Fork or clone it into your Android project.
Wire the native C++ core via Kotlin JNI.
LLM chat, image gen, processing, TTS.
Run everything locally on the phone.
llama.cpp chat with tool calling.
Stable Diffusion with QNN/MNN.
Upscale, segment, inpaint, depth, style.
Text-to-speech on device.
Fast ARM64 performance.
Clean Android integration.
Download the source and move into the project folder.
git clone https://github.com/Siddhesh2377/Ai-Systems-New.git
cd Ai-Systems-NewEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Siddhesh2377/Ai-Systems-New with 162 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — commercial use allowed with attribution.
It is built for Android via Kotlin JNI on ARM64.
No — it is an on-device SDK.
QNN/MNN for Stable Diffusion — see the README.
Run Stable Diffusion on Android Devices with Snapdragon NPU acceleration. Also supports CPU/GPU inference.
Stable Diffusion with Core ML on Apple Silicon
Run Stable Diffusion on Mac natively
Scriptable command-line image and animation generator for Stable Diffusion
The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion,…
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.