fal 0.3.6

A Rust crate for the fal.ai API, including generated, typed functions for all public models
Documentation 
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#[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 DiffInput {
    /// URL of change map.
    /// "https://fal.media/files/zebra/Wh4IYAiAAcVbuZ8M9ZMSn.jpeg"
    pub change_map_image_url: String,
    /// 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>,
    /// URL of image to use as initial image.
    /// "https://fal.media/files/koala/h6a7KK2Ie_inuGbdartoX.jpeg"
    pub image_url: 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 prompt to generate an image from.
    /// "Tree of life under the sea, ethereal, glittering, lens flares, cinematic lighting, artwork by Anna Dittmann & Carne Griffiths, 8k, unreal engine 5, hightly detailed, intricate detailed."
    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>,
    /// The strength to use for image-to-image. 1.0 is completely remakes the image while 0.0 preserves the original.
    #[serde(skip_serializing_if = "Option::is_none")]
    pub strength: Option<f64>,
    /// 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 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)]
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 ValidationError {
    pub loc: Vec<serde_json::Value>,
    pub msg: String,
    #[serde(rename = "type")]
    pub ty: String,
}

#[derive(Debug, Serialize, Deserialize, Default)]
pub struct Timings {
    #[serde(skip_serializing_if = "Option::is_none")]
    #[serde(rename = "type")]
    pub ty: Option<serde_json::Value>,
}

/// FLUX.1 [dev] Differential Diffusion
///
/// Category: image-to-image
/// Machine Type: H100
/// License Type: commercial
pub fn flux_differential_diffusion(params: DiffInput) -> FalRequest<DiffInput, Output> {
    FalRequest::new("fal-ai/flux-differential-diffusion", params)
}