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#[allow(unused_imports)]
use crate::prelude::*;
#[allow(unused_imports)]
use serde::{Deserialize, Serialize};
#[allow(unused_imports)]
use std::collections::HashMap;
#[cfg(any(
feature = "endpoints",
feature = "endpoints_fal-ai",
feature = "endpoints_fal-ai_stable-cascade"
))]
#[cfg_attr(
docsrs,
doc(cfg(any(
feature = "endpoints",
feature = "endpoints_fal-ai",
feature = "endpoints_fal-ai_stable-cascade"
)))
)]
pub mod sote_diffusion;
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct HTTPValidationError {
#[serde(skip_serializing_if = "Option::is_none")]
pub detail: Option<Vec<Option<ValidationError>>>,
}
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct Image {
#[serde(skip_serializing_if = "Option::is_none")]
pub content_type: Option<String>,
pub height: i64,
pub url: String,
pub width: i64,
}
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct ImageSize {
/// The height of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub height: Option<i64>,
/// The width of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub width: Option<i64>,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct Output {
/// Whether the generated images contain NSFW concepts.
pub has_nsfw_concepts: Vec<bool>,
/// The generated image files info.
pub images: Vec<Image>,
/// The prompt used for generating the image.
pub prompt: String,
/// Seed of the generated Image. It will be the same value of the one passed in the
/// input or the randomly generated that was used in case none was passed.
pub seed: i64,
pub timings: Timings,
}
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct SoteDiffusionInput {
/// If set to false, the safety checker will be disabled.
#[serde(skip_serializing_if = "Option::is_none")]
pub enable_safety_checker: Option<bool>,
/// Number of steps to run the first stage for.
#[serde(skip_serializing_if = "Option::is_none")]
pub first_stage_steps: Option<i64>,
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub guidance_scale: Option<f64>,
/// The size of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub image_size: Option<ImageSizeProperty>,
/// The negative prompt to use. Use it to address details that you don't want
/// in the image. This could be colors, objects, scenery and even the small details
/// (e.g. moustache, blurry, low resolution).
/// "very displeasing, worst quality, monochrome, realistic, oldest"
#[serde(skip_serializing_if = "Option::is_none")]
pub negative_prompt: Option<String>,
/// The number of images to generate.
#[serde(skip_serializing_if = "Option::is_none")]
pub num_images: Option<i64>,
/// The prompt to use for generating the image. Be as descriptive as possible for best results.
/// "newest, extremely aesthetic, best quality, 1girl, solo, pink hair, blue eyes, long hair, looking at viewer, smile, black background, holding a sign, the text on the sign says \"Hello\""
pub prompt: String,
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub second_stage_guidance_scale: Option<f64>,
/// Number of steps to run the second stage for.
#[serde(skip_serializing_if = "Option::is_none")]
pub second_stage_steps: Option<i64>,
/// The same seed and the same prompt given to the same version of Stable Cascade
/// will output the same image every time.
#[serde(skip_serializing_if = "Option::is_none")]
pub seed: Option<i64>,
/// If set to true, the image will be returned as base64 encoded string.
#[serde(skip_serializing_if = "Option::is_none")]
pub sync_mode: Option<bool>,
}
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct StableCascadeInput {
/// If set to false, the safety checker will be disabled.
#[serde(skip_serializing_if = "Option::is_none")]
pub enable_safety_checker: Option<bool>,
/// Number of steps to run the first stage for.
#[serde(skip_serializing_if = "Option::is_none")]
pub first_stage_steps: Option<i64>,
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub guidance_scale: Option<f64>,
/// The size of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub image_size: Option<ImageSizeProperty>,
/// The negative prompt to use. Use it to address details that you don't want
/// in the image. This could be colors, objects, scenery and even the small details
/// (e.g. moustache, blurry, low resolution).
/// "ugly, deformed"
#[serde(skip_serializing_if = "Option::is_none")]
pub negative_prompt: Option<String>,
/// The number of images to generate.
#[serde(skip_serializing_if = "Option::is_none")]
pub num_images: Option<i64>,
/// The prompt to use for generating the image. Be as descriptive as possible for best results.
/// "An image of a shiba inu, donning a spacesuit and helmet"
pub prompt: String,
/// 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.
#[serde(skip_serializing_if = "Option::is_none")]
pub second_stage_guidance_scale: Option<f64>,
/// Number of steps to run the second stage for.
#[serde(skip_serializing_if = "Option::is_none")]
pub second_stage_steps: Option<i64>,
/// The same seed and the same prompt given to the same version of Stable Cascade
/// will output the same image every time.
#[serde(skip_serializing_if = "Option::is_none")]
pub seed: Option<i64>,
/// If set to true, the image will be returned as base64 encoded string.
#[serde(skip_serializing_if = "Option::is_none")]
pub sync_mode: Option<bool>,
}
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct ValidationError {
pub loc: Vec<serde_json::Value>,
pub msg: String,
#[serde(rename = "type")]
pub ty: String,
}
#[derive(Debug, Serialize, Deserialize, smart_default::SmartDefault)]
#[allow(non_camel_case_types)]
pub enum ImageSizeProperty {
#[default]
ImageSize(ImageSize),
#[serde(rename = "square_hd")]
SquareHd,
#[serde(rename = "square")]
Square,
#[serde(rename = "portrait_4_3")]
Portrait43,
#[serde(rename = "portrait_16_9")]
Portrait169,
#[serde(rename = "landscape_4_3")]
Landscape43,
#[serde(rename = "landscape_16_9")]
Landscape169,
}
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct Timings {
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(rename = "type")]
pub ty: Option<serde_json::Value>,
}
/// Stable Cascade
///
/// Category: text-to-image
/// Machine Type: A100
/// License Type: research
pub fn stable_cascade(params: StableCascadeInput) -> FalRequest<StableCascadeInput, Output> {
FalRequest::new("fal-ai/stable-cascade", params)
}