| --- |
| license: mit |
| tags: |
| - stable-diffusion |
| - stable-diffusion-cpp |
| - cuda |
| - blackwell |
| - ggml |
| --- |
| # sd-cli — multi-arch stable-diffusion.cpp builds (incl. Blackwell) |
|
|
| Prebuilt `sd-cli` binaries from leejet/stable-diffusion.cpp, |
| plus the build recipe. Two CUDA variants, each a fat binary covering every NVIDIA |
| GPU architecture from its floor up through Blackwell. |
|
|
| ## Supported GPU architectures |
|
|
| | SM | Architecture | Example GPUs | cu12 | cu13 | |
| |--------|----------------|---------------------------------------|:----:|:----:| |
| | sm_70 | Volta | Tesla V100, Titan V | yes | no | |
| | sm_75 | Turing | RTX 20-series, GTX 16-series, T4 | yes | yes | |
| | sm_80 | Ampere (DC) | A100, A30 | yes | yes | |
| | sm_86 | Ampere | RTX 30-series, A40, A10, A2000 | yes | yes | |
| | sm_89 | Ada Lovelace | RTX 40-series, L4, L40S | yes | yes | |
| | sm_90 | Hopper | H100, H200, GH200 | yes | yes | |
| | sm_100 | Blackwell (DC) | B100, B200, GB200 | yes | yes | |
| | sm_120 | Blackwell | RTX 50-series, RTX PRO 6000 Blackwell | yes | yes | |
|
|
| Both binaries also embed sm_120 **PTX** (virtual arch), so they JIT-forward onto |
| future architectures. Use **cu12** for older drivers / Volta; **cu13** for |
| CUDA-13 hosts (Volta was dropped upstream in CUDA 13). |
| |
| ## Usage |
| |
| Download from the **Files** tab (here) or **Releases** (GitHub). Dynamically |
| linked against the CUDA runtime (cudart/cublas/nccl) — same as upstream — so run |
| on a box where those libs are on the loader path (a PyTorch/CUDA image, or |
| `pip install nvidia-cuda-runtime-cu12 nvidia-cublas-cu12 nvidia-nccl-cu12` + |
| `LD_LIBRARY_PATH`). |
| |
| sd-cli-cu12 -m model.gguf -p "a lovely cat" -o out.png |
| |
| Build it yourself via the included Dockerfiles + `build-and-validate-sd-cli.sh`. |
| |
| ## License |
| Build recipe: MIT (see LICENSE). Binaries derive from stable-diffusion.cpp and |
| ggml, both MIT — see NOTICE. |
| |
