Developer-friendly & type-safe Typescript SDK specifically catered to leverage stabilityai-client-typescript API.
Important
This SDK is not yet ready for production use. To complete setup please follow the steps outlined in your workspace. Delete this section before > publishing to a package manager.
StabilityAI REST API: Welcome to the Stability Platform API. As of March 2024, we are building the REST v2beta API service to be the primary API service for the Stability Platform. All AI services on other APIs (gRPC, REST v1, RESTv2alpha) will continue to be maintained, however they will not receive new features or parameters.
If you are a REST v2alpha user, we strongly recommend that you adjust the URL calls for the specific services that you are using over to the equivalent REST v2beta URL. Normally, this means simply replacing "v2alpha" with "v2beta". We are not deprecating v2alpha URLs at this time for users that are currently using them.
You will need your Stability API key in order to make requests to this API.
Make sure you never share your API key with anyone, and you never commit it to a public repository. Include this key in
the Authorization header of your requests.
This API is rate-limited to 150 requests every 10 seconds. If you exceed this limit, you will receive a 429 response
and be timed out for 60 seconds. If you find this limit too restrictive, please reach out to us via this form.
Please see our FAQ for answers to common questions. If you have any other questions or concerns, please reach out to us via this form.
To see the health of our APIs, please check our Status Page.
Tip
To finish publishing your SDK to npm and others you must run your first generation action.
The SDK can be installed with either npm, pnpm, bun or yarn package managers.
npm add <UNSET>pnpm add <UNSET>bun add <UNSET>yarn add <UNSET> zod
# Note that Yarn does not install peer dependencies automatically. You will need
# to install zod as shown above.Note
This package is published with CommonJS and ES Modules (ESM) support.
This SDK is also an installable MCP server where the various SDK methods are exposed as tools that can be invoked by AI applications.
Node.js v20 or greater is required to run the MCP server.
Claude installation steps
Add the following server definition to your claude_desktop_config.json file:
{
"mcpServers": {
"StabilityAIClient": {
"command": "npx",
"args": [
"-y", "--package", "stabilityai-client-typescript",
"--",
"mcp", "start",
"--stability-api-key", "..."
]
}
}
}Cursor installation steps
Go to Cursor Settings > Features > MCP Servers > Add new MCP server and use the following settings:
- Name: StabilityAIClient
- Type:
command - Command:
npx -y --package stabilityai-client-typescript -- mcp start --stability-api-key ... For a full list of server arguments, run:
npx -y --package stabilityai-client-typescript -- mcp start --helpFor supported JavaScript runtimes, please consult RUNTIMES.md.
import { StabilityAIClient } from "stabilityai-client-typescript";
const stabilityAIClient = new StabilityAIClient({
stabilityApiKey: process.env["STABILITYAICLIENT_STABILITY_API_KEY"] ?? "",
});
async function run() {
const result = await stabilityAIClient.version1.image.generateFromText({
engineId: "stable-diffusion-v1-6",
organization: "org-123456",
stabilityClientID: "my-great-plugin",
stabilityClientVersion: "1.2.1",
textToImageRequestBody: {
textPrompts: [
{
text: "A lighthouse on a cliff",
weight: 1,
},
],
sampler: "K_DPM_2_ANCESTRAL",
},
});
// Handle the result
console.log(result);
}
run();This SDK supports the following security scheme globally:
| Name | Type | Scheme | Environment Variable |
|---|---|---|---|
stabilityApiKey |
apiKey | API key | STABILITYAICLIENT_STABILITY_API_KEY |
To authenticate with the API the stabilityApiKey parameter must be set when initializing the SDK client instance. For example:
import { StabilityAIClient } from "stabilityai-client-typescript";
const stabilityAIClient = new StabilityAIClient({
stabilityApiKey: process.env["STABILITYAICLIENT_STABILITY_API_KEY"] ?? "",
});
async function run() {
const result = await stabilityAIClient.version1.image.generateFromText({
engineId: "stable-diffusion-v1-6",
organization: "org-123456",
stabilityClientID: "my-great-plugin",
stabilityClientVersion: "1.2.1",
textToImageRequestBody: {
textPrompts: [
{
text: "A lighthouse on a cliff",
weight: 1,
},
],
sampler: "K_DPM_2_ANCESTRAL",
},
});
// Handle the result
console.log(result);
}
run();Available methods
- fetchList - List engines
- generateFromText - Text-to-image
- generateFromImageWithText - Image-to-image with prompt
- generateFromImageWithTextAndMask - Image-to-image with a mask
- fetchAccount - Account details
- fetchBalance - Account balance
All the methods listed above are available as standalone functions. These functions are ideal for use in applications running in the browser, serverless runtimes or other environments where application bundle size is a primary concern. When using a bundler to build your application, all unused functionality will be either excluded from the final bundle or tree-shaken away.
To read more about standalone functions, check FUNCTIONS.md.
Available standalone functions
version1EnginesFetchList- List enginesversion1ImageGenerateFromImageWithText- Image-to-image with promptversion1ImageGenerateFromImageWithTextAndMask- Image-to-image with a maskversion1ImageGenerateFromText- Text-to-imageversion1UserFetchAccount- Account detailsversion1UserFetchBalance- Account balance
Certain SDK methods accept files as part of a multi-part request. It is possible and typically recommended to upload files as a stream rather than reading the entire contents into memory. This avoids excessive memory consumption and potentially crashing with out-of-memory errors when working with very large files. The following example demonstrates how to attach a file stream to a request.
Tip
Depending on your JavaScript runtime, there are convenient utilities that return a handle to a file without reading the entire contents into memory:
- Node.js v20+: Since v20, Node.js comes with a native
openAsBlobfunction innode:fs. - Bun: The native
Bun.filefunction produces a file handle that can be used for streaming file uploads. - Browsers: All supported browsers return an instance to a
Filewhen reading the value from an<input type="file">element. - Node.js v18: A file stream can be created using the
fileFromhelper fromfetch-blob/from.js.
import { openAsBlob } from "node:fs";
import { StabilityAIClient } from "stabilityai-client-typescript";
const stabilityAIClient = new StabilityAIClient({
stabilityApiKey: process.env["STABILITYAICLIENT_STABILITY_API_KEY"] ?? "",
});
async function run() {
const result = await stabilityAIClient.version1.image
.generateFromImageWithText({
engineId: "stable-diffusion-v1-6",
organization: "org-123456",
stabilityClientID: "my-great-plugin",
stabilityClientVersion: "1.2.1",
imageToImageRequestBody: {
initImage: await openAsBlob("example.file"),
textPrompts: [
{
text: "A lighthouse on a cliff",
weight: 0.8167237,
},
],
sampler: "K_DPM_2_ANCESTRAL",
},
});
// Handle the result
console.log(result);
}
run();Some of the endpoints in this SDK support retries. If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API. However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.
To change the default retry strategy for a single API call, simply provide a retryConfig object to the call:
import { StabilityAIClient } from "stabilityai-client-typescript";
const stabilityAIClient = new StabilityAIClient({
stabilityApiKey: process.env["STABILITYAICLIENT_STABILITY_API_KEY"] ?? "",
});
async function run() {
const result = await stabilityAIClient.version1.image.generateFromText({
engineId: "stable-diffusion-v1-6",
organization: "org-123456",
stabilityClientID: "my-great-plugin",
stabilityClientVersion: "1.2.1",
textToImageRequestBody: {
textPrompts: [
{
text: "A lighthouse on a cliff",
weight: 1,
},
],
sampler: "K_DPM_2_ANCESTRAL",
},
}, {
retries: {
strategy: "backoff",
backoff: {
initialInterval: 1,
maxInterval: 50,
exponent: 1.1,
maxElapsedTime: 100,
},
retryConnectionErrors: false,
},
});
// Handle the result
console.log(result);
}
run();If you'd like to override the default retry strategy for all operations that support retries, you can provide a retryConfig at SDK initialization:
import { StabilityAIClient } from "stabilityai-client-typescript";
const stabilityAIClient = new StabilityAIClient({
retryConfig: {
strategy: "backoff",
backoff: {
initialInterval: 1,
maxInterval: 50,
exponent: 1.1,
maxElapsedTime: 100,
},
retryConnectionErrors: false,
},
stabilityApiKey: process.env["STABILITYAICLIENT_STABILITY_API_KEY"] ?? "",
});
async function run() {
const result = await stabilityAIClient.version1.image.generateFromText({
engineId: "stable-diffusion-v1-6",
organization: "org-123456",
stabilityClientID: "my-great-plugin",
stabilityClientVersion: "1.2.1",
textToImageRequestBody: {
textPrompts: [
{
text: "A lighthouse on a cliff",
weight: 1,
},
],
sampler: "K_DPM_2_ANCESTRAL",
},
});
// Handle the result
console.log(result);
}
run();Some methods specify known errors which can be thrown. All the known errors are enumerated in the models/errors/errors.ts module. The known errors for a method are documented under the Errors tables in SDK docs. For example, the generateFromText method may throw the following errors:
| Error Type | Status Code | Content Type |
|---|---|---|
| errors.ErrorT | 400, 401, 403, 404 | application/json |
| errors.ErrorT | 500 | application/json |
| errors.APIError | 4XX, 5XX | */* |
If the method throws an error and it is not captured by the known errors, it will default to throwing a APIError.
import { StabilityAIClient } from "stabilityai-client-typescript";
import {
ErrorT,
SDKValidationError,
} from "stabilityai-client-typescript/models/errors";
const stabilityAIClient = new StabilityAIClient({
stabilityApiKey: process.env["STABILITYAICLIENT_STABILITY_API_KEY"] ?? "",
});
async function run() {
let result;
try {
result = await stabilityAIClient.version1.image.generateFromText({
engineId: "stable-diffusion-v1-6",
organization: "org-123456",
stabilityClientID: "my-great-plugin",
stabilityClientVersion: "1.2.1",
textToImageRequestBody: {
textPrompts: [
{
text: "A lighthouse on a cliff",
weight: 1,
},
],
sampler: "K_DPM_2_ANCESTRAL",
},
});
// Handle the result
console.log(result);
} catch (err) {
switch (true) {
// The server response does not match the expected SDK schema
case (err instanceof SDKValidationError): {
// Pretty-print will provide a human-readable multi-line error message
console.error(err.pretty());
// Raw value may also be inspected
console.error(err.rawValue);
return;
}
case (err instanceof ErrorT): {
// Handle err.data$: ErrorTData
console.error(err);
return;
}
case (err instanceof ErrorT): {
// Handle err.data$: ErrorTData
console.error(err);
return;
}
default: {
// Other errors such as network errors, see HTTPClientErrors for more details
throw err;
}
}
}
}
run();Validation errors can also occur when either method arguments or data returned from the server do not match the expected format. The SDKValidationError that is thrown as a result will capture the raw value that failed validation in an attribute called rawValue. Additionally, a pretty() method is available on this error that can be used to log a nicely formatted multi-line string since validation errors can list many issues and the plain error string may be difficult read when debugging.
In some rare cases, the SDK can fail to get a response from the server or even make the request due to unexpected circumstances such as network conditions. These types of errors are captured in the models/errors/httpclienterrors.ts module:
| HTTP Client Error | Description |
|---|---|
| RequestAbortedError | HTTP request was aborted by the client |
| RequestTimeoutError | HTTP request timed out due to an AbortSignal signal |
| ConnectionError | HTTP client was unable to make a request to a server |
| InvalidRequestError | Any input used to create a request is invalid |
| UnexpectedClientError | Unrecognised or unexpected error |
The default server can be overridden globally by passing a URL to the serverURL: string optional parameter when initializing the SDK client instance. For example:
import { StabilityAIClient } from "stabilityai-client-typescript";
const stabilityAIClient = new StabilityAIClient({
serverURL: "https://api.stability.ai",
stabilityApiKey: process.env["STABILITYAICLIENT_STABILITY_API_KEY"] ?? "",
});
async function run() {
const result = await stabilityAIClient.version1.image.generateFromText({
engineId: "stable-diffusion-v1-6",
organization: "org-123456",
stabilityClientID: "my-great-plugin",
stabilityClientVersion: "1.2.1",
textToImageRequestBody: {
textPrompts: [
{
text: "A lighthouse on a cliff",
weight: 1,
},
],
sampler: "K_DPM_2_ANCESTRAL",
},
});
// Handle the result
console.log(result);
}
run();The TypeScript SDK makes API calls using an HTTPClient that wraps the native
Fetch API. This
client is a thin wrapper around fetch and provides the ability to attach hooks
around the request lifecycle that can be used to modify the request or handle
errors and response.
The HTTPClient constructor takes an optional fetcher argument that can be
used to integrate a third-party HTTP client or when writing tests to mock out
the HTTP client and feed in fixtures.
The following example shows how to use the "beforeRequest" hook to to add a
custom header and a timeout to requests and how to use the "requestError" hook
to log errors:
import { StabilityAIClient } from "stabilityai-client-typescript";
import { HTTPClient } from "stabilityai-client-typescript/lib/http";
const httpClient = new HTTPClient({
// fetcher takes a function that has the same signature as native `fetch`.
fetcher: (request) => {
return fetch(request);
}
});
httpClient.addHook("beforeRequest", (request) => {
const nextRequest = new Request(request, {
signal: request.signal || AbortSignal.timeout(5000)
});
nextRequest.headers.set("x-custom-header", "custom value");
return nextRequest;
});
httpClient.addHook("requestError", (error, request) => {
console.group("Request Error");
console.log("Reason:", `${error}`);
console.log("Endpoint:", `${request.method} ${request.url}`);
console.groupEnd();
});
const sdk = new StabilityAIClient({ httpClient });You can setup your SDK to emit debug logs for SDK requests and responses.
You can pass a logger that matches console's interface as an SDK option.
Warning
Beware that debug logging will reveal secrets, like API tokens in headers, in log messages printed to a console or files. It's recommended to use this feature only during local development and not in production.
import { StabilityAIClient } from "stabilityai-client-typescript";
const sdk = new StabilityAIClient({ debugLogger: console });You can also enable a default debug logger by setting an environment variable STABILITYAICLIENT_DEBUG to true.
This SDK is in beta, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning usage to a specific package version. This way, you can install the same version each time without breaking changes unless you are intentionally looking for the latest version.
While we value open-source contributions to this SDK, this library is generated programmatically. Any manual changes added to internal files will be overwritten on the next generation. We look forward to hearing your feedback. Feel free to open a PR or an issue with a proof of concept and we'll do our best to include it in a future release.