Struct CATVTONInput

pub struct CATVTONInput {
    pub cloth_type: String,
    pub garment_image_url: String,
    pub guidance_scale: Option<f64>,
    pub human_image_url: String,
    pub image_size: Option<ImageSizeProperty>,
    pub num_inference_steps: Option<i64>,
    pub seed: Option<i64>,
}

Fields

cloth_type: String

Type of the Cloth to be tried on.

Options: upper: Upper body cloth lower: Lower body cloth overall: Full body cloth inner: Inner cloth, like T-shirt inside a jacket outer: Outer cloth, like a jacket over a T-shirt/// Type of the Cloth to be tried on.

Options: upper: Upper body cloth lower: Lower body cloth overall: Full body cloth inner: Inner cloth, like T-shirt inside a jacket outer: Outer cloth, like a jacket over a T-shirt/// “upper” “lower” “overall” “inner” “outer”

garment_image_url: String

Url to the garment image./// Url to the garment image./// “https://storage.googleapis.com/falserverless/catvton/tshirt.jpg”

guidance_scale: Option<f64>

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.

human_image_url: String

Url for the human image./// Url for the human image./// “https://storage.googleapis.com/falserverless/catvton/man5.jpg”

image_size: Option<ImageSizeProperty>

The size of the generated image.

num_inference_steps: Option<i64>

The number of inference steps to perform.

seed: Option<i64>

The same seed and the same input given to the same version of the model will output the same image every time.

Trait Implementations

impl Debug for CATVTONInput

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

Formats the value using the given formatter.

impl Default for CATVTONInput

fn default() -> CATVTONInput

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for CATVTONInput

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for CATVTONInput

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

where __S: Serializer,

Serialize this value into the given Serde serializer.