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.

• 2025/10/13 🚀 stable-diffusion.cpp now supports Qwen-Image-Edit / Qwen-Image-Edit 2509
  👉 Details: PR #877

• 2025/10/12 🚀 stable-diffusion.cpp now supports Qwen-Image
  👉 Details: PR #851

• 2025/09/14 🚀 stable-diffusion.cpp now supports Wan2.1 Vace
  👉 Details: PR #819

• 2025/09/06 🚀 stable-diffusion.cpp now supports Wan2.1 / Wan2.2
  👉 Details: PR #778

• Plain C/C++ implementation based on ggml, working in the same way as llama.cpp
• Super lightweight and without external dependencies
• Supported models
  • Image Models
    • SD1.x, SD2.x, SD-Turbo
    • SDXL, SDXL-Turbo
    • SD3/SD3.5
    • Flux-dev/Flux-schnell
    • Chroma
    • Qwen Image
  • Image Edit Models
    • FLUX.1-Kontext-dev
    • Qwen Image Edit/Qwen Image Edit 2509
  • Video Models
    • Wan2.1/Wan2.2
  • PhotoMaker support.
  • Control Net support with SD 1.5
  • LoRA support, same as stable-diffusion-webui
  • Latent Consistency Models support (LCM/LCM-LoRA)
  • Faster and memory efficient latent decoding with TAESD
  • Upscale images generated with 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)
• Flash Attention for memory usage optimization
• Negative prompt
• 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
  • DPM++ 2S a
  • LCM
• Cross-platform reproducibility (--rng cuda, consistent with the stable-diffusion-webui GPU RNG)
• Embedds generation parameters into png output as webui-compatible text string

• Download pre-built binaries from the releases page
• Or build from source by following the build guide

• download weights(.ckpt or .safetensors or .gguf). For example

  • Stable Diffusion v1.5 from https://huggingface.co/runwayml/stable-diffusion-v1-5

  curl -L -O https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors

./bin/sd -m ../models/v1-5-pruned-emaonly.safetensors -p "a lovely cat"

For detailed command-line arguments, check out cli doc.

If you want to improve performance or reduce VRAM/RAM usage, please refer to performance guide.

• SD1.x/SD2.x/SDXL
• SD3/SD3.5
• Flux-dev/Flux-schnell
• FLUX.1-Kontext-dev
• Chroma
• 🔥Qwen Image
• 🔥Qwen Image Edit/Qwen Image Edit 2509
• 🔥Wan2.1/Wan2.2
• LoRA
• LCM/LCM-LoRA
• Using PhotoMaker to personalize image generation
• Using ESRGAN to upscale results
• Using TAESD to faster decoding
• Docker
• Quantization and GGUF

These projects wrap stable-diffusion.cpp for easier use in other languages/frameworks.

• Golang (non-cgo): seasonjs/stable-diffusion
• Golang (cgo): Binozo/GoStableDiffusion
• C#: DarthAffe/StableDiffusion.NET
• Python: william-murray1204/stable-diffusion-cpp-python
• Rust: newfla/diffusion-rs
• Flutter/Dart: rmatif/Local-Diffusion

These projects use stable-diffusion.cpp as a backend for their image generation.

• Jellybox
• Stable Diffusion GUI
• Stable Diffusion CLI-GUI
• Local Diffusion
• sd.cpp-webui
• LocalAI
• Neural-Pixel

Thank you to all the people who have already contributed to stable-diffusion.cpp!

• ggml
• diffusers
• stable-diffusion
• sd3-ref
• stable-diffusion-stability-ai
• stable-diffusion-webui
• ComfyUI
• k-diffusion
• latent-consistency-model
• generative-models
• PhotoMaker
• Wan2.1
• Wan2.2