stable-diffusion-api
Version:
API translation for Automatic1111 Stable Diffusion WebUI
82 lines (81 loc) • 3.74 kB
JavaScript
;
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.ControlNetApi = void 0;
const base64_1 = require("../utils/base64");
const StableDiffusionResult_1 = __importDefault(require("./StableDiffusionResult"));
/**
* @class ControlNetApi
* @classdesc ControlNet API, a translation layer for Mikubill's ControlNet API
* @param {StableDiffusionApi} Stable Diffusion parent API
*/
class ControlNetApi {
constructor(sd) {
this.sd = sd;
}
/**
* 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) {
var _a, _b, _c, _d;
return __awaiter(this, void 0, void 0, function* () {
const input_images = yield Promise.all(options.controlnet_input_images.map((image) => __awaiter(this, void 0, void 0, function* () { return yield (0, base64_1.toBase64)(image); })));
const response = yield this.sd.api.post("/controlnet/detect", {
controlnet_module: (_a = options.controlnet_module) !== null && _a !== void 0 ? _a : "none",
controlnet_input_images: input_images,
controlnet_processor_res: (_b = options.controlnet_processor_res) !== null && _b !== void 0 ? _b : 512,
controlnet_threshold_a: (_c = options.controlnet_threshold_a) !== null && _c !== void 0 ? _c : 64,
controlnet_threshold_b: (_d = options.controlnet_threshold_b) !== null && _d !== void 0 ? _d : 64,
});
return new StableDiffusionResult_1.default(response);
});
}
/**
* Returns a list of available ControlNet models
* @returns {Promise<string[]>} List of available ControlNet models
*/
getModels() {
return __awaiter(this, void 0, void 0, function* () {
const response = yield this.sd.api.get("/controlnet/model_list");
return response.data.model_list;
});
}
/**
* Returns a list of available ControlNet modules
* @returns {Promise<string[]>} List of available ControlNet modules
*/
getModules() {
return __awaiter(this, void 0, void 0, function* () {
const response = yield this.sd.api.get("/controlnet/module_list");
return response.data.module_list;
});
}
}
exports.ControlNetApi = ControlNetApi;