Install this version:
emerge -a =app-misc/stable-diffusion-cpp-0.0.669
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =app-misc/stable-diffusion-cpp-0.0.669
Or alternatively:
emerge --autounmask-write -a =app-misc/stable-diffusion-cpp-0.0.669
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.0.669 | 8 | ~amd64 | 0 |
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="6.3"
inherit cmake cuda rocm linux-info systemd
DESCRIPTION="Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++"
HOMEPAGE="https://github.com/leejet/stable-diffusion.cpp"
# Pinned to master-669-2d40a8b (commit 2d40a8b2adcdf8b5b0ca0535f3bb7801b6ba13e5, 2026-06-02)
# ggml is a git submodule (leejet/ggml fork) -- GitHub tarballs don't include submodules
GGML_COMMIT="0ce7ad348a3151e1da9f65d962044546bcaad421"
SRC_URI="
https://github.com/leejet/stable-diffusion.cpp/archive/2d40a8b2adcdf8b5b0ca0535f3bb7801b6ba13e5.tar.gz -> ${P}.gh.tar.gz
https://github.com/leejet/ggml/archive/${GGML_COMMIT}.tar.gz -> ${P}-ggml.gh.tar.gz
"
S="${WORKDIR}/stable-diffusion.cpp-2d40a8b2adcdf8b5b0ca0535f3bb7801b6ba13e5"
KEYWORDS="~amd64"
LICENSE="MIT"
SLOT="0"
IUSE="
openblas blis rocm cuda opencl vulkan flexiblas webm webp wmma
cpu_flags_x86_avx cpu_flags_x86_avx2 cpu_flags_x86_fma3 cpu_flags_x86_f16c
cpu_flags_x86_bmi2 cpu_flags_x86_avx_vnni cpu_flags_x86_avx512f
cpu_flags_x86_avx512vbmi cpu_flags_x86_avx512_vnni
cpu_flags_x86_avx512_bf16
"
REQUIRED_USE="
?? ( openblas blis flexiblas )
webm? ( webp )
wmma? ( rocm )
cpu_flags_x86_avx2? ( cpu_flags_x86_avx )
cpu_flags_x86_avx512f? ( cpu_flags_x86_avx2 )
cpu_flags_x86_avx512vbmi? ( cpu_flags_x86_avx512f )
cpu_flags_x86_avx512_vnni? ( cpu_flags_x86_avx512f )
cpu_flags_x86_avx512_bf16? ( cpu_flags_x86_avx512f )
"
CDEPEND="
openblas? ( sci-libs/openblas:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-${ROCM_VERSION}:=
>=sci-libs/hipBLAS-${ROCM_VERSION}:=
wmma? (
>=sci-libs/rocWMMA-${ROCM_VERSION}:=
)
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
webp? ( media-libs/libwebp )
webm? ( media-libs/libwebm )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? ( dev-util/vulkan-headers )
"
RDEPEND="${CDEPEND}
acct-group/sd-cpp
acct-user/sd-cpp
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="media-libs/shaderc"
pkg_setup() {
if use rocm; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
# Unpack ggml submodule into the expected directory
rmdir "${S}/ggml" 2>/dev/null
mv "${WORKDIR}/ggml-${GGML_COMMIT}" "${S}/ggml" || die "Failed to place ggml submodule"
use cuda && cuda_src_prepare
cmake_src_prepare
}
src_configure() {
local mycmakeargs=(
# -- Build settings --
-DCMAKE_SKIP_BUILD_RPATH=ON
-DSD_BUILD_SHARED_LIBS=OFF
-DSD_SERVER_BUILD_FRONTEND=OFF # requires pnpm and network access
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
# -- CPU feature selection (no -march=native) --
-DGGML_NATIVE=0
-DGGML_SSE42=ON
-DGGML_AVX=$(usex cpu_flags_x86_avx)
-DGGML_AVX2=$(usex cpu_flags_x86_avx2)
-DGGML_BMI2=$(usex cpu_flags_x86_bmi2)
-DGGML_FMA=$(usex cpu_flags_x86_fma3)
-DGGML_F16C=$(usex cpu_flags_x86_f16c)
-DGGML_AVX_VNNI=$(usex cpu_flags_x86_avx_vnni)
-DGGML_AVX512=$(usex cpu_flags_x86_avx512f)
-DGGML_AVX512_VBMI=$(usex cpu_flags_x86_avx512vbmi)
-DGGML_AVX512_VNNI=$(usex cpu_flags_x86_avx512_vnni)
-DGGML_AVX512_BF16=$(usex cpu_flags_x86_avx512_bf16)
# -- Networking / optional features --
-DGGML_RPC=ON
-DSD_CUDA=$(usex cuda)
-DSD_OPENCL=$(usex opencl)
-DSD_WEBP=$(usex webp)
-DSD_USE_SYSTEM_WEBP=$(usex webp)
-DSD_WEBM=$(usex webm)
-DSD_USE_SYSTEM_WEBM=$(usex webm)
-DSD_VULKAN=$(usex vulkan)
# -- Install paths (avoid clashing with whisper.cpp) --
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/stable-diffusion.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/stable-diffusion.cpp"
)
# -- BLAS vendor selection --
if use openblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
# -- CUDA --
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
# -- ROCm/HIP --
if use rocm; then
rocm_use_hipcc
mycmakeargs+=(
-DSD_HIPBLAS=ON
-DAMDGPU_TARGETS=$(get_amdgpu_flags)
-DGPU_TARGETS=$(get_amdgpu_flags)
-DGGML_HIP_ROCWMMA_FATTN=$(usex wmma)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
# avoid clashing with whisper.cpp
rm -rf "${ED}/usr/include"
find "${ED}" -name "*.a" -delete || die
# -- systemd service for the sd-server HTTP backend --
insinto /etc/sd-cpp
doins "${FILESDIR}/sd-server.conf"
systemd_dounit "${FILESDIR}/sd-server.service"
keepdir /var/lib/sd-cpp/models
}
pkg_preinst() {
keepdir /var/lib/sd-cpp
keepdir /var/lib/sd-cpp/models
fowners sd-cpp:sd-cpp /var/lib/sd-cpp
fowners sd-cpp:sd-cpp /var/lib/sd-cpp/models
fperms 0750 /var/lib/sd-cpp
fperms 0750 /var/lib/sd-cpp/models
}
pkg_postinst() {
elog ""
elog "Before starting the sd-server service you MUST configure:"
elog " /etc/sd-cpp/sd-server.conf"
elog ""
elog "At minimum, set:"
elog " SD_MODEL - path to your diffusion model (.gguf / .safetensors / .pt)"
elog " SD_THREADS - number of physical CPU cores (NOT hyperthreads)"
elog ""
elog "Then: systemctl enable --now sd-server"
elog ""
if use rocm || use cuda; then
elog "GPU users: ensure the sd-cpp user has access to the render/video"
elog "device nodes (the acct-user ebuild adds render+video groups)."
elog ""
fi
}
Manage flags for this package:
euse -i <flag> -p app-misc/stable-diffusion-cpp |
euse -E <flag> -p app-misc/stable-diffusion-cpp |
euse -D <flag> -p app-misc/stable-diffusion-cpp
openblas? ( sci-libs/openblas:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-6.3:=
>=sci-libs/hipBLAS-6.3:=
wmma? (
>=sci-libs/rocWMMA-6.3:=
)
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
webp? ( media-libs/libwebp )
webm? ( media-libs/libwebm )
opencl? ( dev-util/opencl-headers )
vulkan? ( dev-util/vulkan-headers )
openblas? ( sci-libs/openblas:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-6.3:=
>=sci-libs/hipBLAS-6.3:=
wmma? (
>=sci-libs/rocWMMA-6.3:=
)
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
webp? ( media-libs/libwebp )
webm? ( media-libs/libwebm )
acct-group/sd-cpp
acct-user/sd-cpp
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
media-libs/shaderc
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | stable-diffusion-cpp-0.0.669-ggml.gh.tar.gz | 3064809 bytes | https://github.com/leejet/ggml/archive/0ce7ad348a3151e1da9f65d962044546bcaad421.tar.gz |
| DIST | stable-diffusion-cpp-0.0.669.gh.tar.gz | 105284971 bytes | https://github.com/leejet/stable-diffusion.cpp/archive/2d40a8b2adcdf8b5b0ca0535f3bb7801b6ba13e5.tar.gz |