stable-diffusion-api/dist/types/index.d.ts

API translation for Automatic1111 Stable Diffusion WebUI

import { AxiosResponse } from "axios";
import { ControlNetUnit } from "../lib/ControlNetUnit";
import { type Sharp } from "sharp";
export type SamplerName = "Euler a" | "Euler" | "LMS" | "Heun" | "DPM2" | "DPM2 a" | "DPM++ 2S a" | "DPM++ 2M" | "DPM++ SDE" | "DPM fast" | "DPM adaptive" | "LMS Karras" | "DPM2 Karras" | "DPM2 a Karras" | "DPM++ 2S a Karras" | "DPM++ 2M Karras" | "DPM++ SDE Karras" | "DDIM" | "PLMS" | "UniPC" | string;
export type StableDiffusionApiConfig = {
    host?: string;
    port?: number | null;
    baseUrl?: string | null;
    timeout?: number;
    defaultSampler?: SamplerName;
    defaultStepCount?: number;
    protocol?: "http" | "https";
};
export type ApiRawResponse = {
    image?: string;
    images?: string[];
    info?: any;
    html_info?: any;
    parameters?: any;
};
export type AxiosApiRawResponse = AxiosResponse<ApiRawResponse>;
export type UpscalerName = "None" | "Lanczos" | "Nearest" | "LDSR" | "BSRGAN" | "ESRGAN_4x" | "R-ESRGAN General 4xV3" | "ScuNET GAN" | "ScuNET PSNR" | "SwinIR 4x" | string;
export type HiResUpscalerName = "None" | "Latent" | "Latent (antialiased)" | "Latent (bicubic)" | "Latent (bicubic antialiased)" | "Latent (nearist)" | "Latent (nearist-exact)" | "Lanczos" | "Nearest" | "ESRGAN_4x" | "LDSR" | "ScuNET GAN" | "ScuNET PSNR" | "SwinIR 4x" | string;
export type Txt2ImgOptions = {
    enable_hr?: boolean;
    hr_scale?: number;
    hr_upscaler?: HiResUpscalerName;
    hr_second_pass_steps?: number;
    hr_resize_x?: number;
    hr_resize_y?: number;
    denoising_strength?: number;
    firstphase_width?: number;
    firstphase_height?: number;
    prompt?: string;
    styles?: string[];
    seed?: number;
    subseed?: number;
    subseed_strength?: number;
    seed_resize_from_h?: number;
    seed_resize_from_w?: number;
    batch_size?: number;
    n_iter?: number;
    steps?: number;
    cfg_scale?: number;
    width?: number;
    height?: number;
    restore_faces?: boolean;
    tiling?: boolean;
    do_not_save_samples?: boolean;
    do_not_save_grid?: boolean;
    negative_prompt?: string;
    eta?: number;
    s_churn?: number;
    s_tmax?: number;
    s_tmin?: number;
    s_noise?: number;
    override_settings?: Record<string, unknown>;
    override_settings_restore_afterwards?: boolean;
    script_args?: unknown[];
    script_name?: string;
    send_images?: boolean;
    save_images?: boolean;
    alwayson_scripts?: Record<string, unknown>;
    controlnet_units?: ControlNetUnit[];
    sampler_name?: SamplerName;
    use_deprecated_controlnet?: boolean;
};
export type Img2ImgOptions = {
    init_images: Sharp[];
    resize_mode?: number;
    denoising_strength?: number;
    image_cfg_scale?: number;
    mask_image?: any;
    mask_blur?: number;
    inpainting_fill?: number;
    inpaint_full_res?: number;
    inpaint_full_res_padding?: number;
    inpainting_mask_invert?: number;
    initial_noise_multiplier?: number;
    prompt?: string;
    styles?: [];
    seed?: number;
    subseed?: number;
    subseed_strength?: number;
    seed_resize_from_h?: number;
    seed_resize_from_w?: number;
    sampler_name?: SamplerName;
    batch_size?: number;
    n_iter?: number;
    steps?: number;
    cfg_scale?: number;
    width?: number;
    height?: number;
    restore_faces?: boolean;
    tiling?: boolean;
    do_not_save_samples?: boolean;
    do_not_save_grid?: boolean;
    negative_prompt?: string;
    eta?: number;
    s_churn?: number;
    s_tmax?: number;
    s_tmin?: number;
    s_noise?: number;
    override_settings?: {};
    override_settings_restore_afterwards?: boolean;
    script_args?: [];
    include_init_images?: boolean;
    script_name?: string;
    send_images?: boolean;
    save_images?: boolean;
    alwayson_scripts?: {};
    controlnet_units?: ControlNetUnit[];
    use_deprecated_controlnet?: boolean;
};
export type ExtraBaseOptions = {
    image: Sharp;
    resize_mode?: number;
    show_extras_results?: boolean;
    gfpgan_visibility?: number;
    codeformer_weight?: number;
    upscaling_resize?: number;
    upscaling_resize_w?: number;
    upscaling_resize_h?: number;
    upscaling_resize_crop?: boolean;
    upscaler_1?: UpscalerName;
    upscaler_2?: UpscalerName;
    extras_upscaler_2_visibility?: number;
    upscale_first?: boolean;
};
export type ExtraSingleOptions = {
    image: Sharp;
} & ExtraBaseOptions;
export type ExtraBatchOptions = {
    images: Sharp[];
    name_list: string[];
} & ExtraBaseOptions;
type ControlNetModule = "none" | "canny" | "depth" | "depth_leres" | "hed" | "mlsd" | "normal_map" | "openpose" | "openpose_hand" | "clip_vision" | "color" | "pidinet" | "scribble" | "fake_scribble" | "segmentation" | "binary" | string;
export type ResizeMode = "Scale to Fit (Inner Fit)";
export type Progress = {
    progress: number;
    eta_relative: number;
    state: {
        skipped: boolean;
        interrupted: boolean;
        job: string;
        job_count: number;
        job_timestamp: string;
        job_no: number;
        sampling_step: number;
        sampling_steps: number;
    };
    current_image: string;
    textinfo: string;
};
export type Sampler = {
    name: string;
    aliases: string[];
    options: Record<string, unknown>;
};
export type Upscaler = {
    name: string;
    model_name: string;
    model_path: string;
    model_url: string;
    scale: number;
};
export type StableDiffusionModel = {
    title: string;
    model_name: string;
    hash: string;
    sha256: string;
    filename: string;
    config: string;
};
export type HyperNetwork = {
    name: string;
    path: string;
};
export type FaceRestorer = {
    name: string;
    cmd_dir: string;
};
export type RealESRGanModel = {
    name: string;
    path: string;
    scale: number;
};
export type PromptStyle = {
    name: string;
    prompt: string;
    negative_prompt: string;
};
export type ControlNetUnitConfig = {
    input_image: Sharp;
    mask?: Sharp;
    module: ControlNetModule;
    model?: string;
    weight?: number;
    resize_mode?: ResizeMode;
    lowvram?: boolean;
    processor_res?: number;
    threshold_a?: number;
    threshold_b?: number;
    guidance?: number;
    guidance_start?: number;
    guidance_end?: number;
    guessmode?: boolean;
};
export type ControlNetDetectOptions = {
    controlnet_module?: ControlNetModule | string;
    controlnet_input_images: Sharp[];
    controlnet_processor_res?: number;
    controlnet_threshold_a?: number;
    controlnet_threshold_b?: number;
};
export type ControlNetTxt2ImgOptions = {};
export {};
//# sourceMappingURL=index.d.ts.map