ferrotorch-diffusion 0.6.2

Stable-Diffusion-family model composition for ferrotorch (Phase B.3: VAE decoder)
Documentation 
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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2024"
rust-version = "1.88"
name = "ferrotorch-diffusion"
version = "0.6.2"
authors = ["doll"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Stable-Diffusion-family model composition for ferrotorch (Phase B.3: VAE decoder)"
homepage = "https://github.com/dollspace-gay/ferrotorch"
readme = "README.md"
keywords = [
    "deep-learning",
    "machine-learning",
    "autograd",
    "neural-network",
    "tensor",
]
categories = [
    "science",
    "mathematics",
    "algorithms",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/dollspace-gay/ferrotorch"

[features]
cuda = [
    "dep:ferrotorch-gpu",
    "dep:cudarc",
]
default = []

[lib]
name = "ferrotorch_diffusion"
path = "src/lib.rs"

[[example]]
name = "clip_text_encode_dump"
path = "examples/clip_text_encode_dump.rs"

[[example]]
name = "sd_pipeline_dump"
path = "examples/sd_pipeline_dump.rs"

[[example]]
name = "unet_predict_dump"
path = "examples/unet_predict_dump.rs"

[[example]]
name = "unet_probe_dump"
path = "examples/unet_probe_dump.rs"

[[example]]
name = "vae_decode_dump"
path = "examples/vae_decode_dump.rs"

[[test]]
name = "conformance_pretrained_diffusion"
path = "tests/conformance_pretrained_diffusion.rs"

[[test]]
name = "conformance_sd_pipeline"
path = "tests/conformance_sd_pipeline.rs"

[[test]]
name = "conformance_vae_encoder"
path = "tests/conformance_vae_encoder.rs"

[dependencies.cudarc]
version = "0.19"
features = [
    "cublas",
    "cusolver",
    "cufft",
    "cusparse",
]
optional = true

[dependencies.ferrotorch-core]
version = "0.6.2"

[dependencies.ferrotorch-gpu]
version = "0.6.2"
optional = true

[dependencies.ferrotorch-hub]
version = "0.6.2"

[dependencies.ferrotorch-nn]
version = "0.6.2"

[dependencies.ferrotorch-serialize]
version = "0.6.2"

[dependencies.num-traits]
version = "0.2"

[dependencies.safetensors]
version = "0.5"

[dependencies.serde]
version = "1"
features = ["derive"]

[dependencies.serde_json]
version = "1"

[dependencies.tempfile]
version = "3"

[dependencies.thiserror]
version = "2.0"

[dev-dependencies.tempfile]
version = "3"