Cargo.toml

[workspace]
members = [
    "diffusion_rs_core",
    "diffusion_rs_examples",
    "diffusion_rs_backend",
    "diffusion_rs_common",
    "diffusion_rs_cli",
    "diffusion_rs_py",
]
resolver = "2"

[workspace.package]
version = "0.1.0"
edition = "2021"
authors = ["Eric Buehler"]
description = "Blazingly fast inference of diffusion models."
homepage = "https://github.com/EricLBuehler/diffusion-rs"
repository = "https://github.com/EricLBuehler/diffusion-rs"
keywords = ["machine-learning"]
categories = ["science"]
license = "MIT"
readme = "README.md"

[workspace.dependencies]
clap = { version = "4.5.23", features = ["derive"] }
serde = "1.0.215"
serde_json = "1.0.133"
serde_plain = "1.0.2"
hf-hub = "0.3.2"
tokenizers = "0.21.0"
anyhow = "1.0.94"
tqdm = "0.7.0"
indicatif = "0.17.9"
thiserror = "2.0.4"
dirs = "5.0.1"
image = "0.25.5"
once_cell = "1.19.0"
rayon = "1.1.0"
metal = { version = "0.27.0", features = ["mps"]}
lazy_static = "1.4"
paste = "1.0.15"
byteorder = "1.5.0"
safetensors = "0.4.1"
zip = "2.2.1"
memmap2 = { version = "0.9.5", features = ["stable_deref_trait"] }
tracing = "0.1.41"
tracing-subscriber = { version = "0.3.19", features = ["env-filter"] }
cliclack = "0.3.5"
objc = "0.2.7"
pyo3 = { version = "0.23.3", features = ["extension-module"] }
intel-mkl-src = { version = "0.8.1", features = ["mkl-static-lp64-iomp"] }
cudarc = { package = "mistralrs_cudarc_fork", version = "0.12.1", features = ["std", "cublas", "cublaslt", "curand", "driver", "nvrtc", "f16", "cuda-version-from-build-system", "dynamic-linking"], default-features=false }
accelerate-src = { version = "0.3.2" }
libc = { version = "0.2.147" }
rand = "0.8.5"
rand_distr = "0.4.3"
num-traits = "0.2.15"
half = { version = "2.4.1", features = ["num-traits", "use-intrinsics", "rand_distr"] }
float8 = { version = "0.1.2", features = ["num-traits", "rand_distr"] }
num_cpus = "1.15.0"
yoke = { version = "0.7.2", features = ["derive"] }
gemm = { version = "0.17.0", features = ["wasm-simd128-enable"] }

[profile.release]
codegen-units = 1
lto = true