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https://github.com/invoke-ai/InvokeAI
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feat(ui): update openapi-fetch; fix upload issue
My PR to fix an issue with the handling of formdata in `openapi-fetch` is released. This means we no longer need to patch the package (no patches at all now!). This PR bumps its version and adds a transformer to our typegen script to handle typing binary form fields correctly as `Blob`. Also regens types.
This commit is contained in:
psychedelicious
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7481508282
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803e1aaa17
@ -23,7 +23,7 @@
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"dev": "concurrently \"vite dev\" \"yarn run theme:watch\"",
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"dev:host": "concurrently \"vite dev --host\" \"yarn run theme:watch\"",
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"build": "yarn run lint && vite build",
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"typegen": "npx openapi-typescript http://localhost:9090/openapi.json --output src/services/api/schema.d.ts -t",
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"typegen": "npx ts-node scripts/typegen.ts",
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"preview": "vite preview",
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"lint:madge": "madge --circular src/main.tsx",
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"lint:eslint": "eslint --max-warnings=0 .",
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@ -83,7 +83,7 @@
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"konva": "^9.2.0",
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"lodash-es": "^4.17.21",
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"nanostores": "^0.9.2",
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"openapi-fetch": "0.4.0",
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"openapi-fetch": "^0.6.1",
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"overlayscrollbars": "^2.2.0",
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"overlayscrollbars-react": "^0.5.0",
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"patch-package": "^7.0.0",
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@ -1,55 +0,0 @@
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diff --git a/node_modules/openapi-fetch/dist/index.js b/node_modules/openapi-fetch/dist/index.js
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index cd4528a..8976b51 100644
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--- a/node_modules/openapi-fetch/dist/index.js
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+++ b/node_modules/openapi-fetch/dist/index.js
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@@ -1,5 +1,5 @@
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// settings & const
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-const DEFAULT_HEADERS = {
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+const CONTENT_TYPE_APPLICATION_JSON = {
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"Content-Type": "application/json",
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};
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const TRAILING_SLASH_RE = /\/*$/;
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@@ -29,18 +29,29 @@ export function createFinalURL(url, options) {
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}
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return finalURL;
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}
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+function stringifyBody(body) {
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+ if (body instanceof ArrayBuffer || body instanceof File || body instanceof DataView || body instanceof Blob || ArrayBuffer.isView(body) || body instanceof URLSearchParams || body instanceof FormData) {
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+ return;
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+ }
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+
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+ if (typeof body === "string") {
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+ return body;
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+ }
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+
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+ return JSON.stringify(body);
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+ }
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+
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export default function createClient(clientOptions = {}) {
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const { fetch = globalThis.fetch, ...options } = clientOptions;
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- const defaultHeaders = new Headers({
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- ...DEFAULT_HEADERS,
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- ...(options.headers ?? {}),
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- });
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+ const defaultHeaders = new Headers(options.headers ?? {});
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async function coreFetch(url, fetchOptions) {
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const { headers, body: requestBody, params = {}, parseAs = "json", querySerializer = defaultSerializer, ...init } = fetchOptions || {};
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// URL
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const finalURL = createFinalURL(url, { baseUrl: options.baseUrl, params, querySerializer });
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+ // Stringify body if needed
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+ const stringifiedBody = stringifyBody(requestBody);
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// headers
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- const baseHeaders = new Headers(defaultHeaders); // clone defaults (don’t overwrite!)
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+ const baseHeaders = new Headers(stringifiedBody ? { ...CONTENT_TYPE_APPLICATION_JSON, ...defaultHeaders } : defaultHeaders); // clone defaults (don’t overwrite!)
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const headerOverrides = new Headers(headers);
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for (const [k, v] of headerOverrides.entries()) {
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if (v === undefined || v === null)
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@@ -54,7 +65,7 @@ export default function createClient(clientOptions = {}) {
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...options,
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...init,
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headers: baseHeaders,
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- body: typeof requestBody === "string" ? requestBody : JSON.stringify(requestBody),
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+ body: stringifiedBody ?? requestBody,
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});
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// handle empty content
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// note: we return `{}` because we want user truthy checks for `.data` or `.error` to succeed
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3
invokeai/frontend/web/scripts/package.json
Normal file
3
invokeai/frontend/web/scripts/package.json
Normal file
@ -0,0 +1,3 @@
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{
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"type": "module"
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}
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23
invokeai/frontend/web/scripts/typegen.ts
Normal file
23
invokeai/frontend/web/scripts/typegen.ts
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@ -0,0 +1,23 @@
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import fs from 'node:fs';
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import openapiTS from 'openapi-typescript';
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const OPENAPI_URL = 'http://localhost:9090/openapi.json';
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const OUTPUT_FILE = 'src/services/api/schema.d.ts';
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async function main() {
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process.stdout.write(
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`Generating types "${OPENAPI_URL}" --> "${OUTPUT_FILE}"...`
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);
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const types = await openapiTS(OPENAPI_URL, {
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exportType: true,
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transform: (schemaObject, metadata) => {
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if ('format' in schemaObject && schemaObject.format === 'binary') {
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return schemaObject.nullable ? 'Blob | null' : 'Blob';
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}
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},
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});
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fs.writeFileSync(OUTPUT_FILE, types);
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process.stdout.write(` OK!\r\n`);
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}
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main();
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417
invokeai/frontend/web/src/services/api/schema.d.ts
vendored
417
invokeai/frontend/web/src/services/api/schema.d.ts
vendored
@ -75,25 +75,37 @@ export type paths = {
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* @description Gets a list of models
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*/
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get: operations["list_models"];
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/**
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* Update Model
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* @description Add Model
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*/
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post: operations["update_model"];
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};
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"/api/v1/models/import": {
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/**
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* Import Model
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* @description Add a model using its local path, repo_id, or remote URL
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*/
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post: operations["import_model"];
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};
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"/api/v1/models/{model_name}": {
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"/api/v1/models/{base_model}/{model_type}/{model_name}": {
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/**
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* Delete Model
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* @description Delete Model
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*/
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delete: operations["del_model"];
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/**
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* Update Model
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* @description Add Model
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*/
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patch: operations["update_model"];
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};
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"/api/v1/models/convert/{base_model}/{model_type}/{model_name}": {
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/**
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* Convert Model
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* @description Convert a checkpoint model into a diffusers model
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*/
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put: operations["convert_model"];
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};
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"/api/v1/models/merge/{base_model}": {
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/**
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* Merge Models
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* @description Convert a checkpoint model into a diffusers model
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*/
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put: operations["merge_models"];
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};
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"/api/v1/images/": {
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/**
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@ -234,23 +246,6 @@ export type components = {
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*/
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b?: number;
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};
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/** AddModelResult */
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AddModelResult: {
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/**
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* Name
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* @description The name of the model after import
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*/
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name: string;
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/** @description The type of model */
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model_type: components["schemas"]["ModelType"];
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/** @description The base model */
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base_model: components["schemas"]["BaseModelType"];
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/**
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* Config
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* @description The configuration of the model
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*/
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config: components["schemas"]["ModelConfigBase"];
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};
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/**
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* BaseModelType
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* @description An enumeration.
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@ -324,6 +319,48 @@ export type components = {
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*/
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image_name: string;
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};
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/** Body_import_model */
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Body_import_model: {
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/**
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* Location
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* @description A model path, repo_id or URL to import
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*/
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location: string;
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/**
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* Prediction Type
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* @description Prediction type for SDv2 checkpoint files
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* @default v_prediction
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* @enum {string}
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*/
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prediction_type?: "v_prediction" | "epsilon" | "sample";
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};
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/** Body_merge_models */
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Body_merge_models: {
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/**
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* Model Names
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* @description model name
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*/
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model_names: (string)[];
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/**
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* Merged Model Name
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* @description Name of destination model
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*/
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merged_model_name: string;
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/**
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* Alpha
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* @description Alpha weighting strength to apply to 2d and 3d models
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* @default 0.5
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*/
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alpha?: number;
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/** @description Interpolation method */
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interp: components["schemas"]["MergeInterpolationMethod"];
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/**
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* Force
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* @description Force merging of models created with different versions of diffusers
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* @default false
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*/
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force?: boolean;
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};
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/** Body_remove_board_image */
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Body_remove_board_image: {
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/**
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@ -343,7 +380,7 @@ export type components = {
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* File
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* Format: binary
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*/
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file: string;
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file: Blob;
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};
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/**
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* CannyImageProcessorInvocation
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@ -385,55 +422,6 @@ export type components = {
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*/
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high_threshold?: number;
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};
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/** CkptModelInfo */
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CkptModelInfo: {
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/**
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* Description
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* @description A description of the model
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*/
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description?: string;
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/**
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* Model Name
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* @description The name of the model
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*/
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model_name: string;
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/**
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* Model Type
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* @description The type of the model
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*/
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model_type: string;
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/**
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* Format
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* @default ckpt
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* @enum {string}
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*/
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format?: "ckpt";
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/**
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* Config
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* @description The path to the model config
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*/
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config: string;
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/**
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* Weights
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* @description The path to the model weights
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*/
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weights: string;
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/**
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* Vae
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* @description The path to the model VAE
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*/
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vae: string;
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/**
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* Width
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* @description The width of the model
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*/
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width?: number;
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/**
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* Height
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* @description The height of the model
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*/
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height?: number;
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};
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/** ClipField */
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ClipField: {
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/**
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@ -836,19 +824,6 @@ export type components = {
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*/
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control?: components["schemas"]["ControlField"];
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};
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/** CreateModelRequest */
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CreateModelRequest: {
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/**
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* Name
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* @description The name of the model
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*/
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name: string;
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/**
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* Info
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* @description The model info
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*/
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info: components["schemas"]["CkptModelInfo"] | components["schemas"]["DiffusersModelInfo"];
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};
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/**
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* CvInpaintInvocation
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* @description Simple inpaint using opencv.
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@ -882,45 +857,6 @@ export type components = {
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*/
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mask?: components["schemas"]["ImageField"];
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};
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/** DiffusersModelInfo */
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DiffusersModelInfo: {
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/**
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* Description
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* @description A description of the model
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*/
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description?: string;
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/**
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* Model Name
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* @description The name of the model
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*/
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model_name: string;
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/**
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* Model Type
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* @description The type of the model
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*/
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model_type: string;
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/**
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* Format
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* @default folder
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* @enum {string}
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*/
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format?: "folder";
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/**
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* Vae
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* @description The VAE repo to use for this model
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*/
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vae?: components["schemas"]["VaeRepo"];
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/**
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* Repo Id
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* @description The repo ID to use for this model
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*/
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repo_id?: string;
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/**
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* Path
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* @description The path to the model
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*/
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path?: string;
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};
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/**
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* DivideInvocation
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* @description Divides two numbers
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@ -1110,7 +1046,7 @@ export type components = {
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* @description The nodes in this graph
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*/
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nodes?: {
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[key: string]: (components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
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[key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
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};
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/**
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* Edges
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@ -1153,7 +1089,7 @@ export type components = {
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* @description The results of node executions
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*/
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results: {
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[key: string]: (components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
|
||||
[key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
|
||||
};
|
||||
/**
|
||||
* Errors
|
||||
@ -2055,24 +1991,6 @@ export type components = {
|
||||
*/
|
||||
thumbnail_url: string;
|
||||
};
|
||||
/** ImportModelResponse */
|
||||
ImportModelResponse: {
|
||||
/**
|
||||
* Name
|
||||
* @description The name of the imported model
|
||||
*/
|
||||
name: string;
|
||||
/**
|
||||
* Info
|
||||
* @description The model info
|
||||
*/
|
||||
info: components["schemas"]["AddModelResult"];
|
||||
/**
|
||||
* Status
|
||||
* @description The status of the API response
|
||||
*/
|
||||
status: string;
|
||||
};
|
||||
/**
|
||||
* InfillColorInvocation
|
||||
* @description Infills transparent areas of an image with a solid color
|
||||
@ -3020,6 +2938,12 @@ export type components = {
|
||||
*/
|
||||
min_confidence?: number;
|
||||
};
|
||||
/**
|
||||
* MergeInterpolationMethod
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
MergeInterpolationMethod: "weighted_sum" | "sigmoid" | "inv_sigmoid" | "add_difference";
|
||||
/**
|
||||
* MidasDepthImageProcessorInvocation
|
||||
* @description Applies Midas depth processing to image
|
||||
@ -3112,16 +3036,6 @@ export type components = {
|
||||
*/
|
||||
thr_d?: number;
|
||||
};
|
||||
/** ModelConfigBase */
|
||||
ModelConfigBase: {
|
||||
/** Path */
|
||||
path: string;
|
||||
/** Description */
|
||||
description?: string;
|
||||
/** Model Format */
|
||||
model_format?: string;
|
||||
error?: components["schemas"]["ModelError"];
|
||||
};
|
||||
/**
|
||||
* ModelError
|
||||
* @description An enumeration.
|
||||
@ -3184,7 +3098,7 @@ export type components = {
|
||||
/** ModelsList */
|
||||
ModelsList: {
|
||||
/** Models */
|
||||
models: (components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"])[];
|
||||
models: (components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"])[];
|
||||
};
|
||||
/**
|
||||
* MultiplyInvocation
|
||||
@ -4462,24 +4376,6 @@ export type components = {
|
||||
* @enum {string}
|
||||
*/
|
||||
VaeModelFormat: "checkpoint" | "diffusers";
|
||||
/** VaeRepo */
|
||||
VaeRepo: {
|
||||
/**
|
||||
* Repo Id
|
||||
* @description The repo ID to use for this VAE
|
||||
*/
|
||||
repo_id: string;
|
||||
/**
|
||||
* Path
|
||||
* @description The path to the VAE
|
||||
*/
|
||||
path?: string;
|
||||
/**
|
||||
* Subfolder
|
||||
* @description The subfolder to use for this VAE
|
||||
*/
|
||||
subfolder?: string;
|
||||
};
|
||||
/** ValidationError */
|
||||
ValidationError: {
|
||||
/** Location */
|
||||
@ -4517,18 +4413,18 @@ export type components = {
|
||||
*/
|
||||
image?: components["schemas"]["ImageField"];
|
||||
};
|
||||
/**
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion2ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
};
|
||||
responses: never;
|
||||
parameters: never;
|
||||
@ -4639,7 +4535,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
@ -4676,7 +4572,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["UpscaleInvocation"] | components["schemas"]["RestoreFaceInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
@ -4895,59 +4791,35 @@ export type operations = {
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* Update Model
|
||||
* @description Add Model
|
||||
*/
|
||||
update_model: {
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["CreateModelRequest"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
/** @description Successful Response */
|
||||
200: {
|
||||
content: {
|
||||
"application/json": unknown;
|
||||
};
|
||||
};
|
||||
/** @description Validation Error */
|
||||
422: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["HTTPValidationError"];
|
||||
};
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* Import Model
|
||||
* @description Add a model using its local path, repo_id, or remote URL
|
||||
*/
|
||||
import_model: {
|
||||
parameters: {
|
||||
query: {
|
||||
/** @description A model path, repo_id or URL to import */
|
||||
name: string;
|
||||
/** @description Prediction type for SDv2 checkpoint files */
|
||||
prediction_type?: "v_prediction" | "epsilon" | "sample";
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["Body_import_model"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
/** @description The model imported successfully */
|
||||
201: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["ImportModelResponse"];
|
||||
"application/json": components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
|
||||
};
|
||||
};
|
||||
/** @description The model could not be found */
|
||||
404: never;
|
||||
/** @description There is already a model corresponding to this path or repo_id */
|
||||
409: never;
|
||||
/** @description Validation Error */
|
||||
422: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["HTTPValidationError"];
|
||||
};
|
||||
};
|
||||
/** @description The model appeared to import successfully, but could not be found in the model manager */
|
||||
424: never;
|
||||
};
|
||||
};
|
||||
/**
|
||||
@ -4957,6 +4829,11 @@ export type operations = {
|
||||
del_model: {
|
||||
parameters: {
|
||||
path: {
|
||||
/** @description Base model */
|
||||
base_model: components["schemas"]["BaseModelType"];
|
||||
/** @description The type of model */
|
||||
model_type: components["schemas"]["ModelType"];
|
||||
/** @description model name */
|
||||
model_name: string;
|
||||
};
|
||||
};
|
||||
@ -4979,6 +4856,114 @@ export type operations = {
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* Update Model
|
||||
* @description Add Model
|
||||
*/
|
||||
update_model: {
|
||||
parameters: {
|
||||
path: {
|
||||
/** @description Base model */
|
||||
base_model: components["schemas"]["BaseModelType"];
|
||||
/** @description The type of model */
|
||||
model_type: components["schemas"]["ModelType"];
|
||||
/** @description model name */
|
||||
model_name: string;
|
||||
};
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
/** @description The model was updated successfully */
|
||||
200: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
|
||||
};
|
||||
};
|
||||
/** @description Bad request */
|
||||
400: never;
|
||||
/** @description The model could not be found */
|
||||
404: never;
|
||||
/** @description Validation Error */
|
||||
422: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["HTTPValidationError"];
|
||||
};
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* Convert Model
|
||||
* @description Convert a checkpoint model into a diffusers model
|
||||
*/
|
||||
convert_model: {
|
||||
parameters: {
|
||||
path: {
|
||||
/** @description Base model */
|
||||
base_model: components["schemas"]["BaseModelType"];
|
||||
/** @description The type of model */
|
||||
model_type: components["schemas"]["ModelType"];
|
||||
/** @description model name */
|
||||
model_name: string;
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
/** @description Model converted successfully */
|
||||
200: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
|
||||
};
|
||||
};
|
||||
/** @description Bad request */
|
||||
400: never;
|
||||
/** @description Model not found */
|
||||
404: never;
|
||||
/** @description Validation Error */
|
||||
422: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["HTTPValidationError"];
|
||||
};
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* Merge Models
|
||||
* @description Convert a checkpoint model into a diffusers model
|
||||
*/
|
||||
merge_models: {
|
||||
parameters: {
|
||||
path: {
|
||||
/** @description Base model */
|
||||
base_model: components["schemas"]["BaseModelType"];
|
||||
};
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["Body_merge_models"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
/** @description Model converted successfully */
|
||||
200: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
|
||||
};
|
||||
};
|
||||
/** @description Incompatible models */
|
||||
400: never;
|
||||
/** @description One or more models not found */
|
||||
404: never;
|
||||
/** @description Validation Error */
|
||||
422: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["HTTPValidationError"];
|
||||
};
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* List Images With Metadata
|
||||
* @description Gets a list of images
|
||||
|
||||
@ -157,8 +157,6 @@ export const imageUploaded = createAppAsyncThunk<
|
||||
session_id,
|
||||
} = arg;
|
||||
const { post } = $client.get();
|
||||
const formData = new FormData();
|
||||
formData.append('file', file);
|
||||
const { data, error, response } = await post('/api/v1/images/', {
|
||||
params: {
|
||||
query: {
|
||||
@ -167,10 +165,12 @@ export const imageUploaded = createAppAsyncThunk<
|
||||
session_id,
|
||||
},
|
||||
},
|
||||
// TODO: Proper handling of `multipart/form-data` is coming soon, will fix type issues
|
||||
// https://github.com/drwpow/openapi-typescript/issues/1123
|
||||
// @ts-ignore
|
||||
body: formData,
|
||||
body: { file },
|
||||
bodySerializer: (body) => {
|
||||
const formData = new FormData();
|
||||
formData.append('file', body.file);
|
||||
return formData;
|
||||
},
|
||||
});
|
||||
|
||||
if (error) {
|
||||
|
||||
@ -23,5 +23,11 @@
|
||||
},
|
||||
"include": ["src/**/*.ts", "src/**/*.tsx", "*.d.ts"],
|
||||
"exclude": ["src/services/fixtures/*", "node_modules", "dist"],
|
||||
"references": [{ "path": "./tsconfig.node.json" }]
|
||||
"references": [{ "path": "./tsconfig.node.json" }],
|
||||
"ts-node": {
|
||||
"compilerOptions": {
|
||||
"jsx": "preserve"
|
||||
},
|
||||
"esm": true
|
||||
}
|
||||
}
|
||||
|
||||
@ -4941,10 +4941,10 @@ open@^8.4.0:
|
||||
is-docker "^2.1.1"
|
||||
is-wsl "^2.2.0"
|
||||
|
||||
openapi-fetch@0.4.0:
|
||||
version "0.4.0"
|
||||
resolved "https://registry.yarnpkg.com/openapi-fetch/-/openapi-fetch-0.4.0.tgz#45c368321ba6c15bc2e168e7dc3fbf322e9cca6d"
|
||||
integrity sha512-4lzZtH5J1ZH9EXfmpcmKi0gOgjy0hc6BAcucAdCmLHY6jZopMeGP51vD3Cd4rE1nTFMfJzmYDc8ar0+364gBVw==
|
||||
openapi-fetch@^0.6.1:
|
||||
version "0.6.1"
|
||||
resolved "https://registry.yarnpkg.com/openapi-fetch/-/openapi-fetch-0.6.1.tgz#90d785ead213b82beb8f094a756ad9320ba28b32"
|
||||
integrity sha512-CGWPqqtL31uC2e4eEU9NHoqYMXnJ7Jk4H/4Yguil4tO22MIZi91hlQJ/51E8CiaKdSTODh03yF4ndjIOABVHUw==
|
||||
|
||||
openapi-types@^12.1.3:
|
||||
version "12.1.3"
|
||||
|
||||
Loading…
Reference in New Issue
Block a user