#[allow(unused_imports)]
use crate::prelude::*;
#[allow(unused_imports)]
use serde::{Deserialize, Serialize};
#[allow(unused_imports)]
use std::collections::HashMap;
#[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 TextToImageInput {
/// If set to true, the safety checker will be enabled.
#[serde(skip_serializing_if = "Option::is_none")]
pub enable_safety_checker: Option<bool>,
/// 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).
/// ""
#[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 number of inference steps to perform.
#[serde(skip_serializing_if = "Option::is_none")]
pub num_inference_steps: Option<i64>,
/// The format of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_format: Option<String>,
/// The prompt to generate an image from.
/// "A dreamlike Japanese garden in perpetual twilight, bathed in bioluminescent cherry blossoms that emit a soft pink-purple glow. Floating paper lanterns drift lazily through the scene, their warm light creating dancing reflections in a mirror-like koi pond. Ethereal mist weaves between ancient stone pathways lined with glowing mushrooms in pastel blues and purples. A traditional wooden bridge arches gracefully over the water, dusted with fallen petals that sparkle like stardust. The scene is captured through a cinematic lens with perfect bokeh, creating an otherworldly atmosphere. In the background, a crescent moon hangs impossibly large in the sky, surrounded by a sea of stars and auroral wisps in teal and violet. Crystal formations emerge from the ground, refracting the ambient light into rainbow prisms. The entire composition follows the golden ratio, with moody film-like color grading reminiscent of Studio Ghibli, enhanced by volumetric god rays filtering through the luminous foliage. 8K resolution, masterful photography, hyperdetailed, magical realism."
pub prompt: String,
/// The same seed and the same prompt given to the same version of the model
/// will output the same image every time.
#[serde(skip_serializing_if = "Option::is_none")]
pub seed: Option<i64>,
/// If set to true, the function will wait for the image to be generated and uploaded
/// before returning the response. This will increase the latency of the function but
/// it allows you to get the image directly in the response without going through the CDN.
#[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 Diffusion 3.5 Medium
///
/// Category: text-to-image
/// Machine Type: A100
/// License Type: commercial
pub fn stable_diffusion_v35_medium(
params: TextToImageInput,
) -> FalRequest<TextToImageInput, Output> {
FalRequest::new("fal-ai/stable-diffusion-v35-medium", params)
}