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stable-diffusion-client

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import { ControlNetDetectOptions } from "../types.js"; import StableDiffusionResult from "./StableDiffusionResult.js"; import StableDiffusionApi from "./StableDiffusionApi.js"; /** * @class ControlNetApi * @classdesc ControlNet API, a translation layer for Mikubill's ControlNet API * @param {StableDiffusionApi} Stable Diffusion parent API */ export default class ControlNetApi { private sd; constructor(sd: StableDiffusionApi); /** * Uses the selected ControlNet proprocessor module to predict a detection * on the input image * @param {ControlNetDetectOptions} options * @returns {Promise<StableDiffusionResult>} ApiResult with the detection result * @example * const api = new StableDiffusionApi(); * const image = sharp("image.png"); * * const result = await api.controlnet.detect({ * controlnet_input_images: [image], * controlnet_module: "depth", * controlnet_processor_res: 512, * controlnet_threshold_a: 64, * controlnet_threshold_b: 64, * }); * * result.image.toFile("result.png"); */ detect(options: ControlNetDetectOptions): Promise<StableDiffusionResult<unknown, unknown>>; /** * Returns a list of available ControlNet models * @returns {Promise<string[]>} List of available ControlNet models */ getModels(): Promise<string[]>; /** * Returns a list of available ControlNet modules * @returns {Promise<string[]>} List of available ControlNet modules */ getModules(): Promise<string[]>; }