# Local-Diffusion **Repository Path**: limuren/Local-Diffusion ## Basic Information - **Project Name**: Local-Diffusion - **Description**: https://github.com/rmatif/Local-Diffusion - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-11-06 - **Last Updated**: 2026-11-06 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Local Diffusion [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![Flutter Badge](https://img.shields.io/badge/Flutter-%2302569B.svg?style=flat&logo=Flutter&logoColor=white)](https://flutter.dev) [![Android Badge](https://img.shields.io/badge/Android-3DDC84?style=flat&logo=android&logoColor=white)](https://developer.android.com) [![Ko-fi Badge](https://img.shields.io/badge/Ko--fi-F16061?style=flat&logo=ko-fi&logoColor=white)](https://ko-fi.com/rmatif)
[![Latest Release](https://img.shields.io/github/v/release/rmatif/Local-Diffusion?label=Latest%20Release&color=brightgreen)](https://github.com/rmatif/Local-Diffusion/releases/latest)
**Run the latest diffusion models directly on your mobile device.**

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Local Diffusion is a Flutter application that brings Diffusion models to Android, powered by the amazing stable-diffusion.cpp ## Download Download and install the latest `.apk` from the GitHub Releases page: [![Latest Release](https://img.shields.io/github/v/release/rmatif/Local-Diffusion?label=Download%20Latest%20APK&color=brightgreen)](https://github.com/rmatif/Local-Diffusion/releases/latest) ## ✨ Key Features - **πŸ“± Truly Local Inference:** Generate images entirely on your Android device. - **πŸš€ Broad Model Compatibility:** - Supports a wide range of architectures: SD1.x, SD2.x, SDXL, SD3/SD3.5, Flux/Flux-schnell, SD-Turbo, SDXL-Turbo, and more. - Load models directly from popular sources like **Hugging Face** and **Civitai**. - Works with common model formats: .safetensors and .ckpt. - **⚑ On-the-Fly Quantization:** Automatically quantize full-precision models during loading to save memory and potentially increase speed. Supported formats: q8_0, q6_k, q5_0, q5_1, q5_1k, q4_0, q4_1, q4_k, q3_k, q2_k. - **🏎️ Performance Optimizations:** - **Flash Attention:** Reduces memory usage during inference - **TAESD:** Significantly speeds up the image decoding process. - **VAE Tiling:** Reduces memory consumption during the VAE decoding stage, crucial for larger images on memory-constrained devices. - **🎨 Advanced Generation Capabilities:** - **ControlNet:** Guide image generation with precise control (includes Scribble-to-Image). - **PhotoMaker:** Generate custom portraits from reference images. - **Img2Img:** Generate images based on an initial input image. - **Inpainting/Outpainting:** Modify specific parts of an image or expand its canvas. - **LoRA Support:** Apply Low-Rank Adaptations to customize model outputs. - **Negative Prompts:** Specify what you don't want to see in the image. - **Token Weighting:** Emphasize or de-emphasize specific parts of your prompt. - **Multiple Sampling Methods:** Euler A, Euler, Heun, DPM2, DPM++ 2M, DPM++ 2M v2, DPM++ 2S a, LCM, TCD, DDIM - **πŸ’» GPU Acceleration (Experimental):** - **Vulkan:** Currently performs ~2x slower than CPU. Performance improvements are planned. - **OpenCL:** Only supports Adreno 7xx GPUs for now. Optimized for Q4_0 quantization; also supports Q8_0 and FP16. Operations or devices outside these specifics may fall back to CPU execution. ## πŸ“Š Memory Usage ### Peak Memory Usage in MB Benchmark settings: TAE + Flash Attention + VAE Tiling + only Clip_L Q8_0 for DiT/MMDiT architecture (Clip_G and T5_XXL were skipped) | Model | Resolution | Q2_K (MB) | Q4_0 (MB) | Q8_0 (MB) | fp16 (MB) | |----------------|------------|-----------|-----------|-----------|-----------| | **SD 1.5** | 256x256 | 1431 | 1461 | 1648 | 1997 | | | 512x512 | 1870 | 1900 | 2087 | 2436 | | | 768x768 | 4001 | 4031 | 4218 | 4567 | | **SDXL** | 256x256 | 1868 | 2450 | 3889 | 6586 | | | 512x512 | 2228 | 2810 | 4249 | 6946 | | | 768x768 | 2228 | 2810 | 4249 | 6946 | | | 1024x1024 | 2228 | 2810 | 4249 | 6946 | | **SD 2.1** | 256x256 | 1510 | 1593 | 1892 | 2452 | | | 512x512 | 1870 | 1953 | 2252 | 2812 | | | 768x768 | 1870 | 1953 | 2252 | 2812 | | **SD3.5 Medium**| 256x256 | 1790 | 2315 | 3433 | 5420 | | | 512x512 | 2150 | 2675 | 3793 | 5780 | | | 768x768 | 2289 | 2814 | 3932 | 5919 | | | 1024x1024 | 3437 | 3962 | 5080 | 7067 | | **SD3.5 Large** | 256x256 | 4630 | 5027 | 8848 | - | | | 512x512 | 4990 | 5387 | 9208 | - | | | 768x768 | 4990 | 5387 | 9208 | - | | | 1024x1024 | 7271 | 7668 | 11489 | - | | **FLUX.1** | 256x256 | 4168 | 6813 | 12456 | - | | | 512x512 | 4528 | 7173 | 12816 | - | | | 768x768 | 4551 | 7196 | 12839 | - | | | 1024x1024 | 4889 | 7534 | 13177 | - | ## πŸ—ΊοΈ Roadmap - iOS Support - Performance Improvements ## πŸ› οΈ Building Ensure you have the Flutter SDK and Android development environment set up. ### Run in Debug/Release Mode `flutter run` # Release `flutter run --release` ### Build Release APK `flutter build apk --release` The output APK will be located at build/app/outputs/flutter-apk/app-release.apk. ## Credits - **Core Engine:** [stable-diffusion.cpp by leejet](https://www.github.com/leejet/stable-diffusion.cpp) - **UI Components:** [shadcn/ui & flutter-shadcn-ui by nank1ro](https://www.github.com/nank1ro/flutter-shadcn-ui)