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 HTTPValidationError {
    #[serde(skip_serializing_if = "Option::is_none")]
    pub detail: Option<Vec<Option<ValidationError>>>,
}

#[derive(Debug, Serialize, Deserialize, Default)]
pub struct Image {
    /// The mime type of the file.
    /// "image/png"
    #[serde(skip_serializing_if = "Option::is_none")]
    pub content_type: Option<String>,
    /// File data
    #[serde(skip_serializing_if = "Option::is_none")]
    pub file_data: Option<String>,
    /// The name of the file. It will be auto-generated if not provided.
    /// "z9RV14K95DvU.png"
    #[serde(skip_serializing_if = "Option::is_none")]
    pub file_name: Option<String>,
    /// The size of the file in bytes.
    /// 4404019
    #[serde(skip_serializing_if = "Option::is_none")]
    pub file_size: Option<i64>,
    /// The height of the image in pixels.
    /// 1024
    #[serde(skip_serializing_if = "Option::is_none")]
    pub height: Option<i64>,
    /// The URL where the file can be downloaded from.
    pub url: String,
    /// The width of the image in pixels.
    /// 1024
    #[serde(skip_serializing_if = "Option::is_none")]
    pub width: Option<i64>,
}

#[derive(Debug, Serialize, Deserialize, Default)]
pub struct InpaintInput {
    /// 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>,
    /// Input image for img2img or inpaint mode
    /// "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png"
    pub image_url: String,
    /// Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
    /// "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png"
    pub mask_url: String,
    /// URL or HuggingFace ID of the base model to generate the image.
    /// "diffusers/stable-diffusion-xl-1.0-inpainting-0.1"
    /// "stabilityai/stable-diffusion-xl-base-1.0"
    /// "runwayml/stable-diffusion-v1-5"
    /// "SG161222/Realistic_Vision_V2.0"
    pub model_name: String,
    /// 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).
    /// "cartoon, painting, illustration, (worst quality, low quality, normal quality:2)"
    /// "nsfw, cartoon, (epicnegative:0.9)"
    #[serde(skip_serializing_if = "Option::is_none")]
    pub negative_prompt: Option<String>,
    /// Increasing the amount of steps tells Stable Diffusion that it should take more steps
    /// to generate your final result which can increase the amount of detail in your image.
    #[serde(skip_serializing_if = "Option::is_none")]
    pub num_inference_steps: Option<i64>,
    /// The prompt to use for generating the image. Be as descriptive as possible for best results.
    /// "a photo of a cat"
    pub prompt: String,
    /// The same seed and the same prompt given to the same version of Stable Diffusion
    /// will output the same image every time.
    /// 1234
    #[serde(skip_serializing_if = "Option::is_none")]
    pub seed: Option<i64>,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct InpaintOutput {
    /// The generated image files info.
    pub image: Image,
    /// 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,
}

#[derive(Debug, Serialize, Deserialize, Default)]
pub struct ValidationError {
    pub loc: Vec<serde_json::Value>,
    pub msg: String,
    #[serde(rename = "type")]
    pub ty: String,
}

/// Inpainting sdxl and sd
///
/// Category: image-to-image
/// Machine Type: A100
pub fn inpaint(params: InpaintInput) -> FalRequest<InpaintInput, InpaintOutput> {
    FalRequest::new("fal-ai/inpaint", params)
}