SDAI — AI Image Generator
Open-source iOS and Android AI image generation product with provider freedom, on-device engines, and 100K+ Google Play downloads.
Technologies Used
About This Project
SDAI is a production cross-platform AI image generation client for creators, prompt engineers, and builders who want mobile control without being locked into one cloud. It brings self-hosted Stable Diffusion servers, hosted APIs, community workers, and native on-device engines into one polished iOS and Android workflow.
The product is built around provider freedom and serious creative control: AUTOMATIC1111, SwarmUI, AI Horde, Hugging Face, OpenAI Images, Stability AI, Fal.ai, ArliAI, Android ONNX, MediaPipe, stable-diffusion.cpp SDXL, iOS Silicon Diffusion Core ML, and PrismML Bonsai. Users can move from prompt to result with Txt2Img, Img2Img, inpainting, negative prompts, seed, steps, CFG, sampler controls, model selection, LoRA, embeddings, gallery management, sharing, native save flows, zip export, and on-device benchmark guidance.
For Moroz Inc., SDAI is a flagship proof of product execution: a technically deep AI application shipped across app stores and open-source channels, maintained with documentation, community support, privacy-respecting defaults, and a scalable mobile architecture.
Key Features
Cross-platform iOS and Android product built with Kotlin Multiplatform, shared Compose UI foundations, and native platform integration
Provider freedom across AUTOMATIC1111, SwarmUI, AI Horde, Hugging Face, OpenAI Images, Stability AI, Fal.ai, ArliAI, and local engines
On-device generation through Android ONNX, MediaPipe, stable-diffusion.cpp SDXL, iOS Silicon Diffusion Core ML, and PrismML Bonsai
Txt2Img, Img2Img, A1111 inpainting, batch generation, and provider-specific generation flows
Advanced controls for prompts, negative prompts, seed, steps, CFG scale, samplers, size, model or engine selection, LoRA, embeddings, and hypernetworks
Built-in gallery with generation details, prompt reuse, native save and share flows, and full-gallery zip export
Local provider benchmark with acceleration awareness, estimated generation time, and recommended settings
Public distribution across Google Play, App Store, F-Droid, GitHub, and nightly channels with no ads, no telemetry, and an open-source codebase
Screenshots
Impact & Results
SDAI positions Moroz Inc. as a company capable of turning complex AI infrastructure into a consumer-grade product. The project combines cross-platform mobile architecture, native UX, remote AI provider integrations, local inference, documentation, community support, and public app-store distribution. With 100K+ Google Play downloads, GitHub traction, and App Store availability, it is a strong signal of execution quality in the AI and mobile product space.