Struct stable_diffusion_trainer::preparer::TrainingDataSet

pub struct TrainingDataSet {
    pub training: ImageDataSet,
    pub regularization: Option<ImageDataSet>,
}

A training data set.

Fields

training: ImageDataSet

The training images.

regularization: Option<ImageDataSet>

The regularization images.

Implementations

impl TrainingDataSet

pub fn new(training: ImageDataSet) -> Self

Create a new training data set.

pub fn with_regularization_images( self, regularization_images: ImageDataSet ) -> Self

Set the regularization images for the training data set.

Trait Implementations

impl Debug for TrainingDataSet

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for TrainingDataSet

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for TrainingDataSet

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

where __S: Serializer,

Serialize this value into the given Serde serializer.