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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 IpAdapterFaceIdInput {
/// The URL to the base 1.5 model. Default is SG161222/Realistic_Vision_V4.0_noVAE
#[serde(skip_serializing_if = "Option::is_none")]
pub base_1_5_model_repo: Option<String>,
/// The URL to the base SDXL model. Default is SG161222/RealVisXL_V3.0
#[serde(skip_serializing_if = "Option::is_none")]
pub base_sdxl_model_repo: Option<String>,
/// The size of the face detection model. The higher the number the more accurate
/// the detection will be but it will also take longer to run. The higher the number the more
/// likely it will fail to find a face as well. Lower it if you are having trouble
/// finding a face in the image.
#[serde(skip_serializing_if = "Option::is_none")]
pub face_id_det_size: Option<i64>,
/// An image of a face to match. If an image with a size of 640x640 is not provided, it will be scaled and cropped to that size.
/// "https://storage.googleapis.com/falserverless/model_tests/upscale/image%20(8).png"
#[serde(skip_serializing_if = "Option::is_none")]
pub face_image_url: Option<String>,
/// URL to zip archive with images of faces. The images embedding will be averaged to
/// create a more accurate face id.
#[serde(skip_serializing_if = "Option::is_none")]
pub face_images_data_url: Option<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 guidance_scale: Option<f64>,
/// The height of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub height: Option<i64>,
/// The model type to use. 1_5 is the default and is recommended for most use cases.
/// "1_5-v1"
/// "1_5-v1-plus"
/// "1_5-v2-plus"
/// "SDXL-v1"
/// "SDXL-v2-plus"
/// "1_5-auraface-v1"
#[serde(skip_serializing_if = "Option::is_none")]
pub model_type: Option<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).
/// "blurry, low resolution, bad, ugly, low quality, pixelated, interpolated, compression artifacts, noisey, grainy"
#[serde(skip_serializing_if = "Option::is_none")]
pub negative_prompt: Option<String>,
/// The number of inference steps to use for generating the image. The more steps
/// the better the image will be but it will also take longer to generate.
#[serde(skip_serializing_if = "Option::is_none")]
pub num_inference_steps: Option<i64>,
/// The number of samples for face id. The more samples the better the image will
/// be but it will also take longer to generate. Default is 4.
#[serde(skip_serializing_if = "Option::is_none")]
pub num_samples: Option<i64>,
/// The prompt to use for generating the image. Be as descriptive as possible for best results.
/// "Man cyberpunk, synthwave night city, futuristic, high quality, highly detailed, high resolution, sharp, hyper realistic, extremely detailed"
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.
/// 42
#[serde(skip_serializing_if = "Option::is_none")]
pub seed: 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 IpAdapterFaceIdOutput {
/// The generated image file 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,
}
/// IP Adapter Face ID
///
/// Category: image-to-image
/// Machine Type: A6000
/// License Type: research
pub fn ip_adapter_face_id(
params: IpAdapterFaceIdInput,
) -> FalRequest<IpAdapterFaceIdInput, IpAdapterFaceIdOutput> {
FalRequest::new("fal-ai/ip-adapter-face-id", params)
}