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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 CreativeUpscalerInput {
/// The URL to the additional embeddings to use for the upscaling. Default is None
#[serde(skip_serializing_if = "Option::is_none")]
pub additional_embedding_url: Option<String>,
/// The scale of the additional LORA model to use for the upscaling. Default is 1.0
#[serde(skip_serializing_if = "Option::is_none")]
pub additional_lora_scale: Option<f64>,
/// The URL to the additional LORA model to use for the upscaling. Default is None
#[serde(skip_serializing_if = "Option::is_none")]
pub additional_lora_url: Option<String>,
/// The URL to the base model to use for the upscaling
#[serde(skip_serializing_if = "Option::is_none")]
pub base_model_url: Option<String>,
/// How much the output can deviate from the original
#[serde(skip_serializing_if = "Option::is_none")]
pub creativity: Option<f64>,
/// How much detail to add
#[serde(skip_serializing_if = "Option::is_none")]
pub detail: Option<f64>,
/// If set to true, the resulting image will be checked whether it includes any
/// potentially unsafe content. If it does, it will be replaced with a black
/// image.
#[serde(skip_serializing_if = "Option::is_none")]
pub enable_safety_checks: 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 image to upscale.
/// "https://storage.googleapis.com/falserverless/model_tests/upscale/owl.png"
/// "https://storage.googleapis.com/falserverless/gallery/blue-bird.jpeg"
pub image_url: String,
/// The type of model to use for the upscaling. Default is SD_1_5
/// "SD_1_5"
/// "SDXL"
#[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>,
/// Allow for large uploads that could take a very long time.
#[serde(skip_serializing_if = "Option::is_none")]
pub override_size_limits: Option<bool>,
/// The prompt to use for generating the image. Be as descriptive as possible for best results. If no prompt is provide BLIP2 will be used to generate a prompt.
#[serde(skip_serializing_if = "Option::is_none")]
pub prompt: Option<String>,
/// The suffix to add to the prompt. This is useful to add a common ending to all prompts such as 'high quality' etc or embedding tokens.
#[serde(skip_serializing_if = "Option::is_none")]
pub prompt_suffix: Option<String>,
/// The scale of the output image. The higher the scale, the bigger the output image will be.
#[serde(skip_serializing_if = "Option::is_none")]
pub scale: Option<f64>,
/// 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>,
/// How much to preserve the shape of the original image
#[serde(skip_serializing_if = "Option::is_none")]
pub shape_preservation: Option<f64>,
/// If set to true, the image will not be processed by the CCSR model before
/// being processed by the creativity model.
#[serde(skip_serializing_if = "Option::is_none")]
pub skip_ccsr: Option<bool>,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct CreativeUpscalerOutput {
/// 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 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 ValidationError {
pub loc: Vec<serde_json::Value>,
pub msg: String,
#[serde(rename = "type")]
pub ty: String,
}
/// Creative Upscaler
///
/// Category: image-to-image
/// Machine Type: A100
pub fn creative_upscaler(
params: CreativeUpscalerInput,
) -> FalRequest<CreativeUpscalerInput, CreativeUpscalerOutput> {
FalRequest::new("fal-ai/creative-upscaler", params)
}