Struct stable_diffusion_trainer::trainer::parameters::Parameters

pub struct Parameters {
    pub prompt: Prompt,
    pub dataset: TrainingDataSet,
    pub output: Output,
    pub network: Network,
    pub training: Training,
}

The parameters structure.

Fields

prompt: Prompt

The prompt to use for the training process.

dataset: TrainingDataSet

The dataset to use for the training process.

output: Output

The output to use for the training process.

network: Network

The network to use for the training process.

training: Training

The training to use for the training process.

Implementations

impl Parameters

pub fn from_file(path: impl Into<PathBuf>) -> Result<Self>

Get the parameters from a file.

pub fn new(prompt: Prompt, dataset: TrainingDataSet, output: Output) -> Self

Create a new parameters structure.

Examples found in repository

examples/train-lora.rs (line 11)

fn main() {
    let kohya_ss = std::env::var("KOHYA_SS_PATH").expect("KOHYA_SS_PATH not set");
    let environment = Environment::new().with_kohya_ss(kohya_ss);

    let prompt = Prompt::new("bacana", "white dog");
    let image_data_set = ImageDataSet::from_dir("examples/training/lora/bacana/images");
    let data_set = TrainingDataSet::new(image_data_set);
    let output = Output::new("{prompt.instance}({prompt.class})d{network.dimension}a{network.alpha}", "examples/training/lora/bacana/output");
    let parameters = Parameters::new(prompt, data_set, output);

    Trainer::new()
        .with_environment(environment)
        .start(&parameters);
}

pub fn with_network(self, network: Network) -> Self

Set the network configuration to use for the training process.

pub fn with_training(self, training: Training) -> Self

Set the training configuration to use for the training process.

Trait Implementations

impl Debug for Parameters

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Parameters

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Parameters

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.