#[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 FooocusImagePromptInput {
/// The size of the generated image. You can choose between some presets or
/// custom height and width that **must be multiples of 8**.
#[serde(skip_serializing_if = "Option::is_none")]
pub aspect_ratio: Option<String>,
/// If set to false, the safety checker will be disabled.
#[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>,
pub image_prompt_1: ImagePrompt,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_2: Option<ImagePrompt>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_3: Option<ImagePrompt>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_4: Option<ImagePrompt>,
/// Describe what you want to inpaint.
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_additional_prompt: Option<String>,
/// The image to use as a reference for inpainting.
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_image_url: Option<String>,
/// The mode to use for inpainting.
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_mode: Option<String>,
/// The LoRAs to use for the image generation. You can use up to 5 LoRAs
/// and they will be merged together to generate the final image.
#[serde(skip_serializing_if = "Option::is_none")]
pub loras: Option<Vec<Option<LoraWeight>>>,
/// The image to use as a mask for the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub mask_image_url: Option<String>,
/// Mixing Image Prompt and Inpaint
#[serde(skip_serializing_if = "Option::is_none")]
pub mixing_image_prompt_and_inpaint: Option<bool>,
/// Mixing Image Prompt and Vary/Upscale
#[serde(skip_serializing_if = "Option::is_none")]
pub mixing_image_prompt_and_vary_upscale: Option<bool>,
/// 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).
/// "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"
#[serde(skip_serializing_if = "Option::is_none")]
pub negative_prompt: Option<String>,
/// Number of images to generate in one request
#[serde(skip_serializing_if = "Option::is_none")]
pub num_images: Option<i64>,
/// The directions to outpaint.
#[serde(skip_serializing_if = "Option::is_none")]
pub outpaint_selections: Option<Vec<Option<String>>>,
/// The format of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_format: Option<String>,
/// You can choose Speed or Quality
#[serde(skip_serializing_if = "Option::is_none")]
pub performance: Option<String>,
/// The prompt to use for generating the image. Be as descriptive as possible for best results.
/// "pikachu"
#[serde(skip_serializing_if = "Option::is_none")]
pub prompt: Option<String>,
/// Refiner (SDXL or SD 1.5)
#[serde(skip_serializing_if = "Option::is_none")]
pub refiner_model: Option<String>,
/// Use 0.4 for SD1.5 realistic models; 0.667 for SD1.5 anime models
/// 0.8 for XL-refiners; or any value for switching two SDXL models.
#[serde(skip_serializing_if = "Option::is_none")]
pub refiner_switch: Option<f64>,
/// The same seed and the same prompt given to the same version of Stable Diffusion
/// will output the same image every time.
/// 176400
#[serde(skip_serializing_if = "Option::is_none")]
pub seed: Option<i64>,
/// The sharpness of the generated image. Use it to control how sharp the generated
/// image should be. Higher value means image and texture are sharper.
#[serde(skip_serializing_if = "Option::is_none")]
pub sharpness: Option<f64>,
/// The style to use.
#[serde(skip_serializing_if = "Option::is_none")]
pub styles: Option<Vec<Option<String>>>,
/// 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>,
/// The image to upscale or vary.
#[serde(skip_serializing_if = "Option::is_none")]
pub uov_image_url: Option<String>,
/// The method to use for upscaling or varying.
#[serde(skip_serializing_if = "Option::is_none")]
pub uov_method: Option<String>,
}
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct FooocusInpaintInput {
/// The size of the generated image. You can choose between some presets or
/// custom height and width that **must be multiples of 8**.
#[serde(skip_serializing_if = "Option::is_none")]
pub aspect_ratio: Option<String>,
/// If set to false, the safety checker will be disabled.
#[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>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_1: Option<ImagePrompt>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_2: Option<ImagePrompt>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_3: Option<ImagePrompt>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_4: Option<ImagePrompt>,
/// Describe what you want to inpaint.
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_additional_prompt: Option<String>,
/// If set to true, the initial preprocessing will be disabled.
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_disable_initial_latent: Option<bool>,
/// Version of Fooocus inpaint model
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_engine: Option<String>,
/// Positive value will make white area in the mask larger, negative value will
/// make white area smaller. (default is 0, always process before any mask
/// invert)
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_erode_or_dilate: Option<f64>,
/// The image to use as a reference for inpainting.
/// "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png"
pub inpaint_image_url: String,
/// The mode to use for inpainting.
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_mode: Option<String>,
/// The area to inpaint. Value 0 is same as "Only Masked" in A1111. Value 1 is
/// same as "Whole Image" in A1111. Only used in inpaint, not used in outpaint.
/// (Outpaint always use 1.0)
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_respective_field: Option<f64>,
/// Same as the denoising strength in A1111 inpaint. Only used in inpaint, not
/// used in outpaint. (Outpaint always use 1.0)
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_strength: Option<f64>,
/// If set to true, the mask will be inverted.
#[serde(skip_serializing_if = "Option::is_none")]
pub invert_mask: Option<bool>,
/// The LoRAs to use for the image generation. You can use up to 5 LoRAs
/// and they will be merged together to generate the final image.
#[serde(skip_serializing_if = "Option::is_none")]
pub loras: Option<Vec<Option<LoraWeight>>>,
/// The image to use as a mask for the generated image.
/// "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png"
#[serde(skip_serializing_if = "Option::is_none")]
pub mask_image_url: Option<String>,
/// Mixing Image Prompt and Inpaint
#[serde(skip_serializing_if = "Option::is_none")]
pub mixing_image_prompt_and_inpaint: Option<bool>,
/// 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).
/// "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"
#[serde(skip_serializing_if = "Option::is_none")]
pub negative_prompt: Option<String>,
/// Number of images to generate in one request
#[serde(skip_serializing_if = "Option::is_none")]
pub num_images: Option<i64>,
/// The directions to outpaint.
#[serde(skip_serializing_if = "Option::is_none")]
pub outpaint_selections: Option<Vec<Option<String>>>,
/// The format of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_format: Option<String>,
/// If set to true, the advanced inpaint options ('inpaint_disable_initial_latent',
/// 'inpaint_engine', 'inpaint_strength', 'inpaint_respective_field',
/// 'inpaint_erode_or_dilate') will be overridden.
/// Otherwise, the default values will be used.
#[serde(skip_serializing_if = "Option::is_none")]
pub override_inpaint_options: Option<bool>,
/// You can choose Speed or Quality
#[serde(skip_serializing_if = "Option::is_none")]
pub performance: Option<String>,
/// The prompt to use for generating the image. Be as descriptive as possible for best results.
/// "a cat on a bench, realistic, highly detailed, 8k"
#[serde(skip_serializing_if = "Option::is_none")]
pub prompt: Option<String>,
/// Refiner (SDXL or SD 1.5)
#[serde(skip_serializing_if = "Option::is_none")]
pub refiner_model: Option<String>,
/// Use 0.4 for SD1.5 realistic models; 0.667 for SD1.5 anime models
/// 0.8 for XL-refiners; or any value for switching two SDXL models.
#[serde(skip_serializing_if = "Option::is_none")]
pub refiner_switch: Option<f64>,
/// The same seed and the same prompt given to the same version of Stable Diffusion
/// will output the same image every time.
/// 176400
#[serde(skip_serializing_if = "Option::is_none")]
pub seed: Option<i64>,
/// The sharpness of the generated image. Use it to control how sharp the generated
/// image should be. Higher value means image and texture are sharper.
#[serde(skip_serializing_if = "Option::is_none")]
pub sharpness: Option<f64>,
/// The style to use.
#[serde(skip_serializing_if = "Option::is_none")]
pub styles: Option<Vec<Option<String>>>,
/// 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 FooocusLegacyInput {
/// The size of the generated image. You can choose between some presets or
/// custom height and width that **must be multiples of 8**.
#[serde(skip_serializing_if = "Option::is_none")]
pub aspect_ratio: Option<String>,
/// The stop at value of the control image. Use it to control how much the generated image
/// should look like the control image.
#[serde(skip_serializing_if = "Option::is_none")]
pub control_image_stop_at: Option<f64>,
/// The image to use as a reference for the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub control_image_url: Option<String>,
/// The strength of the control image. Use it to control how much the generated image
/// should look like the control image.
#[serde(skip_serializing_if = "Option::is_none")]
pub control_image_weight: Option<f64>,
/// The type of image control
/// "ImagePrompt"
/// "PyraCanny"
/// "CPDS"
/// "FaceSwap"
#[serde(skip_serializing_if = "Option::is_none")]
pub control_type: Option<String>,
/// If set to false, the safety checker will be disabled.
#[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 image to use as a reference for inpainting.
#[serde(skip_serializing_if = "Option::is_none")]
pub inpaint_image_url: Option<String>,
/// The LoRAs to use for the image generation. You can use up to 5 LoRAs
/// and they will be merged together to generate the final image.
#[serde(skip_serializing_if = "Option::is_none")]
pub loras: Option<Vec<Option<LoraWeight>>>,
/// The image to use as a mask for the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub mask_image_url: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub mixing_image_prompt_and_inpaint: Option<bool>,
/// 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).
/// "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"
#[serde(skip_serializing_if = "Option::is_none")]
pub negative_prompt: Option<String>,
/// Number of images to generate in one request
#[serde(skip_serializing_if = "Option::is_none")]
pub num_images: Option<i64>,
/// The format of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_format: Option<String>,
/// You can choose Speed or Quality
#[serde(skip_serializing_if = "Option::is_none")]
pub performance: Option<String>,
/// The prompt to use for generating the image. Be as descriptive as possible for best results.
/// "an astronaut in the jungle, cold color palette with butterflies in the background, highly detailed, 8k"
#[serde(skip_serializing_if = "Option::is_none")]
pub prompt: Option<String>,
/// Refiner (SDXL or SD 1.5)
#[serde(skip_serializing_if = "Option::is_none")]
pub refiner_model: Option<String>,
/// Use 0.4 for SD1.5 realistic models; 0.667 for SD1.5 anime models
/// 0.8 for XL-refiners; or any value for switching two SDXL models.
#[serde(skip_serializing_if = "Option::is_none")]
pub refiner_switch: Option<f64>,
/// The same seed and the same prompt given to the same version of Stable Diffusion
/// will output the same image every time.
/// 176400
#[serde(skip_serializing_if = "Option::is_none")]
pub seed: Option<i64>,
/// The sharpness of the generated image. Use it to control how sharp the generated
/// image should be. Higher value means image and texture are sharper.
#[serde(skip_serializing_if = "Option::is_none")]
pub sharpness: Option<f64>,
/// The style to use.
#[serde(skip_serializing_if = "Option::is_none")]
pub styles: Option<Vec<Option<String>>>,
/// 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)]
pub struct FooocusOutput {
/// Whether the generated images contain NSFW concepts.
pub has_nsfw_concepts: Vec<bool>,
/// The generated image file info.
pub images: Vec<Image>,
/// The time taken for the generation process.
pub timings: Timings,
}
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct FooocusUpscaleOrVaryInput {
/// The size of the generated image. You can choose between some presets or
/// custom height and width that **must be multiples of 8**.
#[serde(skip_serializing_if = "Option::is_none")]
pub aspect_ratio: Option<String>,
/// If set to false, the safety checker will be disabled.
#[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>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_1: Option<ImagePrompt>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_2: Option<ImagePrompt>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_3: Option<ImagePrompt>,
#[serde(skip_serializing_if = "Option::is_none")]
pub image_prompt_4: Option<ImagePrompt>,
/// The LoRAs to use for the image generation. You can use up to 5 LoRAs
/// and they will be merged together to generate the final image.
#[serde(skip_serializing_if = "Option::is_none")]
pub loras: Option<Vec<Option<LoraWeight>>>,
/// Mixing Image Prompt and Vary/Upscale
#[serde(skip_serializing_if = "Option::is_none")]
pub mixing_image_prompt_and_vary_upscale: Option<bool>,
/// 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).
/// "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"
#[serde(skip_serializing_if = "Option::is_none")]
pub negative_prompt: Option<String>,
/// Number of images to generate in one request
#[serde(skip_serializing_if = "Option::is_none")]
pub num_images: Option<i64>,
/// The format of the generated image.
#[serde(skip_serializing_if = "Option::is_none")]
pub output_format: Option<String>,
/// You can choose Speed or Quality
#[serde(skip_serializing_if = "Option::is_none")]
pub performance: Option<String>,
/// The prompt to use for generating the image. Be as descriptive as possible for best results.
/// "a basket of various fruits, bokeh, realistic, masterpiece"
#[serde(skip_serializing_if = "Option::is_none")]
pub prompt: Option<String>,
/// Refiner (SDXL or SD 1.5)
#[serde(skip_serializing_if = "Option::is_none")]
pub refiner_model: Option<String>,
/// Use 0.4 for SD1.5 realistic models; 0.667 for SD1.5 anime models
/// 0.8 for XL-refiners; or any value for switching two SDXL models.
#[serde(skip_serializing_if = "Option::is_none")]
pub refiner_switch: Option<f64>,
/// The same seed and the same prompt given to the same version of Stable Diffusion
/// will output the same image every time.
/// 176400
#[serde(skip_serializing_if = "Option::is_none")]
pub seed: Option<i64>,
/// The sharpness of the generated image. Use it to control how sharp the generated
/// image should be. Higher value means image and texture are sharper.
#[serde(skip_serializing_if = "Option::is_none")]
pub sharpness: Option<f64>,
/// The style to use.
#[serde(skip_serializing_if = "Option::is_none")]
pub styles: Option<Vec<Option<String>>>,
/// 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>,
/// The image to upscale or vary.
/// "https://storage.googleapis.com/falserverless/model_tests/fooocus/fruit_basket.jpeg"
pub uov_image_url: String,
/// The method to use for upscaling or varying.
#[serde(skip_serializing_if = "Option::is_none")]
pub uov_method: Option<String>,
}
#[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 ImagePrompt {
#[serde(skip_serializing_if = "Option::is_none")]
pub image_url: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub stop_at: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(rename = "type")]
pub ty: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub weight: Option<f64>,
}
#[derive(Debug, Serialize, Deserialize, Default)]
pub struct LoraWeight {
/// URL or the path to the LoRA weights.
/// "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors"
pub path: String,
/// The scale of the LoRA weight. This is used to scale the LoRA weight
/// before merging it with the base model.
#[serde(skip_serializing_if = "Option::is_none")]
pub scale: Option<f64>,
}
#[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>,
}
/// Fooocus
///
/// Category: text-to-image
/// Machine Type: A100
pub fn upscale_or_vary(
params: FooocusUpscaleOrVaryInput,
) -> FalRequest<FooocusUpscaleOrVaryInput, FooocusOutput> {
FalRequest::new("fal-ai/fooocus/upscale-or-vary", params)
}