Stable Diffusion KMP
Generate images on mobile with your own server or cloud, using Stable Diffusion.
SDAI is the best mobile Stable Diffusion client for flexibility, letting you switch between your own server, cloud APIs, or on-device models. It's open source, actively maintained, and covers every major provider—but beginners may find the interface dense. If you want a single app that does it all, this is it.
- Mobile Stable Diffusion enthusiasts who want provider flexibility
- Creators who maintain their own Automatic1111 or SwarmUI server for on-the-go access
- Privacy-focused users who prefer on-device models over cloud APIs
- Open-source contributors interested in Kotlin Multiplatform and mobile ML
- Casual users who want a simple one-tap image generator
- Users who need web or desktop UIs—this is mobile-only
- Beginners unfamiliar with Stable Diffusion settings like CFG, samplers, and LoRA
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In short
Stable Diffusion KMP — Generate images on mobile with your own server or cloud, using Stable Diffusion. Best for Mobile Stable Diffusion enthusiasts who want provider flexibility, Creators who maintain their own Automatic1111 or SwarmUI server for on-the-go access, Privacy-focused users who prefer on-device models over cloud APIs. Free to use.
Viability Score
How likely is Stable Diffusion KMP to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Multi-provider support: Automatic1111, SwarmUI, AI Horde, Hugging Face, OpenAI, Stability AI, Fal.ai, ArliAI
- On-device local generation: Android ONNX, Google AI MediaPipe, stable-diffusion.cpp SDXL, iOS Core ML, PrismML Bonsai
- Txt2Img, Img2Img, Inpaint generation modes
- LoRA, embeddings, hypernetworks support
- Configurable parameters: prompt, size, seed, CFG scale, sampling steps, restore faces
- Batch generation up to configurable count
- Built-in gallery with image details, export, and sharing
- Prompt history and context reuse between generations
- Demo mode for quick testing without committing
- Multiple language support
- System theme, dark theme palette, accent color customization
- Storage and network usage monitoring
- Benchmark recommendations for local providers
- Open source codebase on GitHub
- No account required for demo mode
About Stable Diffusion KMP
SDAI (Stable Diffusion AI) is a mobile-first app for Android and iOS that lets you generate images using Stable Diffusion models. It connects to self-hosted servers (Automatic1111, SwarmUI), cloud APIs (OpenAI, Stability AI, Fal.ai, ArliAI, AI Horde, Hugging Face), on-device engines (Android ONNX, MediaPipe, stable-diffusion.cpp SDXL, iOS Core ML, PrismML Bonsai), and local diffusion backends—all from a single interface. This means you can switch between running models on your own hardware, relying on community workers, or using a paid API without changing apps. The app gives you the controls serious Stable Diffusion work demands: positive/negative prompts, image size, seed, CFG scale, sampling steps, restore faces, batch generation, and support for LoRA, embeddings, and hypernetworks where the provider allows. Results appear instantly in a built-in gallery where you can inspect generation details, copy prompts, send images back to Txt2Img or Img2Img, and export or share them. A demo mode lets you test providers without committing. SDAI is open source (Kotlin Multiplatform) with an active community on Telegram, Discord, and GitHub. It includes benchmark recommendations for local providers, storage and network monitoring, language support, theme customization, and a clean mobile workflow. The one-app approach means you never have to juggle multiple dedicated clients for cloud vs. local generation. Compared to other mobile AI image generators, SDAI stands out for its provider freedom and local engine depth. Apps like Draw Things (iOS) or Stable Diffusion on Android via Termux offer narrower provider coverage. SDAI spans the full spectrum: self-hosted, public APIs, community grids, and on-device inference, making it the most flexible mobile Stable Diffusion client available today.
Behind the Verdict
SDAI is a rare breed: a mobile app that doesn't rope you into one ecosystem. Whether you run Automatic1111 on a home rig, use Stability AI's API, or want everything local on your phone, SDAI handles it all from one clean workflow. That provider freedom is its biggest asset. Where it bites: the interface is packed with controls—if you just want a one-tap 'generate' app, this isn't that. You'll tweak CFG scale, seed, and samplers before the first image appears. It's built for people who already understand Stable Diffusion, not for casual dabblers. Also, on-device generation speed depends heavily on your phone's chipset; Android ONNX and iOS Core ML work well on recent flagships but can be sluggish on older devices. Compared to Draw Things (iOS-only, no Android) or the many cloud-only apps, SDAI offers unmatched breadth. Draw Things has excellent iOS Core ML optimization but zero Android support. Apps like Wombo Dream are simpler but offer no self-hosted or community worker options. SDAI is the Swiss Army knife—great if you need every tool, overkill if you only need a spoon. Real-world usage: most people we've seen use it with a personal Automatic1111 server for unlimited generations, then fall back to AI Horde or Fal.ai when away from home. The gallery and prompt history make it easy to iterate on mobile. The open source code is a plus for anyone wanting to audit privacy or contribute. If you're a mobile power user who wants total control, SDAI is the answer.
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Use Cases
- Generate images on the go using your own Automatic1111 server from your phone
- Run Stable Diffusion locally on supported Android and iOS devices without internet
- Leverage cloud APIs like Stability AI or Fal.ai for high-quality renders from a mobile interface
- Experiment with LoRA and embeddings directly from a mobile app
- Maintain a personal gallery of generated images with export and sharing capabilities
- Contribute to or customize the open source mobile client for Stable Diffusion
Models Under the Hood
Limitations
- No web or desktop version; mobile-only.
- On-device generation quality depends on device hardware and model support may be limited.
- Some advanced features (e.g., ControlNet, upscalers) not mentioned explicitly.
Integrations
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