base on Diffusion model(SD,Flux,Wan,Qwen Image,...) inference in pure C/C++ <p align="center"> <img src="./assets/cat_with_sd_cpp_42.png" width="360x"> </p> # stable-diffusion.cpp <div align="center"> <a href="https://trendshift.io/repositories/9714" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9714" alt="leejet%2Fstable-diffusion.cpp | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> </div> Diffusion model(SD,Flux,Wan,...) inference in pure C/C++ ***Note that this project is under active development. \ API and command-line option may change frequently.*** ## 🔥Important News * **2025/10/13** 🚀 stable-diffusion.cpp now supports **Qwen-Image-Edit / Qwen-Image-Edit 2509** 👉 Details: [PR #877](https://github.com/leejet/stable-diffusion.cpp/pull/877) * **2025/10/12** 🚀 stable-diffusion.cpp now supports **Qwen-Image** 👉 Details: [PR #851](https://github.com/leejet/stable-diffusion.cpp/pull/851) * **2025/09/14** 🚀 stable-diffusion.cpp now supports **Wan2.1 Vace** 👉 Details: [PR #819](https://github.com/leejet/stable-diffusion.cpp/pull/819) * **2025/09/06** 🚀 stable-diffusion.cpp now supports **Wan2.1 / Wan2.2** 👉 Details: [PR #778](https://github.com/leejet/stable-diffusion.cpp/pull/778) ## Features - Plain C/C++ implementation based on [ggml](https://github.com/ggerganov/ggml), working in the same way as [llama.cpp](https://github.com/ggerganov/llama.cpp) - Super lightweight and without external dependencies - Supported models - Image Models - SD1.x, SD2.x, [SD-Turbo](https://huggingface.co/stabilityai/sd-turbo) - SDXL, [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo) - [SD3/SD3.5](./docs/sd3.md) - [Flux-dev/Flux-schnell](./docs/flux.md) - [Chroma](./docs/chroma.md) - [Qwen Image](./docs/qwen_image.md) - Image Edit Models - [FLUX.1-Kontext-dev](./docs/kontext.md) - [Qwen Image Edit/Qwen Image Edit 2509](./docs/qwen_image_edit.md) - Video Models - [Wan2.1/Wan2.2](./docs/wan.md) - [PhotoMaker](https://github.com/TencentARC/PhotoMaker) support. - Control Net support with SD 1.5 - LoRA support, same as [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#lora) - Latent Consistency Models support (LCM/LCM-LoRA) - Faster and memory efficient latent decoding with [TAESD](https://github.com/madebyollin/taesd) - Upscale images generated with [ESRGAN](https://github.com/xinntao/Real-ESRGAN) - Supported backends - CPU (AVX, AVX2 and AVX512 support for x86 architectures) - CUDA - Vulkan - Metal - OpenCL - SYCL - Supported weight formats - Pytorch checkpoint (`.ckpt` or `.pth`) - Safetensors (`./safetensors`) - GGUF (`.gguf`) - Supported platforms - Linux - Mac OS - Windows - Android (via Termux, [Local Diffusion](https://github.com/rmatif/Local-Diffusion)) - Flash Attention for memory usage optimization - Negative prompt - [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) style tokenizer (not all the features, only token weighting for now) - VAE tiling processing for reduce memory usage - Sampling method - `Euler A` - `Euler` - `Heun` - `DPM2` - `DPM++ 2M` - [`DPM++ 2M v2`](https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8457) - `DPM++ 2S a` - [`LCM`](https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/13952) - Cross-platform reproducibility (`--rng cuda`, consistent with the `stable-diffusion-webui GPU RNG`) - Embedds generation parameters into png output as webui-compatible text string ## Quick Start ### Get the sd executable - Download pre-built binaries from the [releases page](https://github.com/leejet/stable-diffusion.cpp/releases) - Or build from source by following the [build guide](./docs/build.md) ### Download model weights - download weights(.ckpt or .safetensors or .gguf). For example - Stable Diffusion v1.5 from https://huggingface.co/runwayml/stable-diffusion-v1-5 ```sh curl -L -O https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors ``` ### Generate an image with just one command ```sh ./bin/sd -m ../models/v1-5-pruned-emaonly.safetensors -p "a lovely cat" ``` ***For detailed command-line arguments, check out [cli doc](./examples/cli/README.md).*** ## Performance If you want to improve performance or reduce VRAM/RAM usage, please refer to [performance guide](./docs/performance.md). ## More Guides - [SD1.x/SD2.x/SDXL](./docs/sd.md) - [SD3/SD3.5](./docs/sd3.md) - [Flux-dev/Flux-schnell](./docs/flux.md) - [FLUX.1-Kontext-dev](./docs/kontext.md) - [Chroma](./docs/chroma.md) - [🔥Qwen Image](./docs/qwen_image.md) - [🔥Qwen Image Edit/Qwen Image Edit 2509](./docs/qwen_image_edit.md) - [🔥Wan2.1/Wan2.2](./docs/wan.md) - [LoRA](./docs/lora.md) - [LCM/LCM-LoRA](./docs/lcm.md) - [Using PhotoMaker to personalize image generation](./docs/photo_maker.md) - [Using ESRGAN to upscale results](./docs/esrgan.md) - [Using TAESD to faster decoding](./docs/taesd.md) - [Docker](./docs/docker.md) - [Quantization and GGUF](./docs/quantization_and_gguf.md) ## Bindings These projects wrap `stable-diffusion.cpp` for easier use in other languages/frameworks. * Golang (non-cgo): [seasonjs/stable-diffusion](https://github.com/seasonjs/stable-diffusion) * Golang (cgo): [Binozo/GoStableDiffusion](https://github.com/Binozo/GoStableDiffusion) * C#: [DarthAffe/StableDiffusion.NET](https://github.com/DarthAffe/StableDiffusion.NET) * Python: [william-murray1204/stable-diffusion-cpp-python](https://github.com/william-murray1204/stable-diffusion-cpp-python) * Rust: [newfla/diffusion-rs](https://github.com/newfla/diffusion-rs) * Flutter/Dart: [rmatif/Local-Diffusion](https://github.com/rmatif/Local-Diffusion) ## UIs These projects use `stable-diffusion.cpp` as a backend for their image generation. - [Jellybox](https://jellybox.com) - [Stable Diffusion GUI](https://github.com/fszontagh/sd.cpp.gui.wx) - [Stable Diffusion CLI-GUI](https://github.com/piallai/stable-diffusion.cpp) - [Local Diffusion](https://github.com/rmatif/Local-Diffusion) - [sd.cpp-webui](https://github.com/daniandtheweb/sd.cpp-webui) - [LocalAI](https://github.com/mudler/LocalAI) - [Neural-Pixel](https://github.com/Luiz-Alcantara/Neural-Pixel) ## Contributors Thank you to all the people who have already contributed to stable-diffusion.cpp! [](https://github.com/leejet/stable-diffusion.cpp/graphs/contributors) ## Star History [](https://star-history.com/#leejet/stable-diffusion.cpp&Date) ## References - [ggml](https://github.com/ggerganov/ggml) - [diffusers](https://github.com/huggingface/diffusers) - [stable-diffusion](https://github.com/CompVis/stable-diffusion) - [sd3-ref](https://github.com/Stability-AI/sd3-ref) - [stable-diffusion-stability-ai](https://github.com/Stability-AI/stablediffusion) - [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) - [ComfyUI](https://github.com/comfyanonymous/ComfyUI) - [k-diffusion](https://github.com/crowsonkb/k-diffusion) - [latent-consistency-model](https://github.com/luosiallen/latent-consistency-model) - [generative-models](https://github.com/Stability-AI/generative-models/) - [PhotoMaker](https://github.com/TencentARC/PhotoMaker) - [Wan2.1](https://github.com/Wan-Video/Wan2.1) - [Wan2.2](https://github.com/Wan-Video/Wan2.2) ", Assign "at most 3 tags" to the expected json: {"id":"9714","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"