@molecule/api-ai-image-generation-stability
Provider bond · ai-image-generation · API (Node) · v1.0.3 · Apache-2.0
Stability AI image generation provider for molecule.dev — Stable Diffusion 3, Stable Image Core/Ultra
npm install @molecule/api-ai-image-generation-stabilitynpm · Source on GitHub · Implements @molecule/api-ai-image-generation
How it works
@molecule/api-ai-image-generation-stability is a provider bond on the API (Node) side: it implements the ai-image-generation core interface (@molecule/api-ai-image-generation) with a concrete vendor or library behind it.
Your code calls the core; you wire this provider once at startup. Swapping vendors later is one line in that wiring, not a rewrite.
// npm install @molecule/api-ai-image-generation-stability --workspace=api
import { setProvider, requireProvider } from '@molecule/api-ai-image-generation'
import { provider } from '@molecule/api-ai-image-generation-stability'
setProvider(provider) // reads STABILITY_API_KEY from the environment
const { images } = await requireProvider().generate({
prompt: 'A watercolor fox reading a book',
aspectRatio: '16:9', // or width/height — see @molecule/api-ai-image-generation
})
// images[0] may carry url, base64, or data — persist what the app needs to keep.Works with: @molecule/api-ai-image-generation, @molecule/api-secrets
Secrets: STABILITY_API_KEY
Reference
Stability AI image generation provider for molecule.dev.
Auto-generated, AI-first package reference for the molecule.dev ecosystem. It is written to be read by coding agents as much as by people, and is generated from this package's source — edit
src/index.tsJSDoc, not this file.
Quick Start
// npm install @molecule/api-ai-image-generation-stability --workspace=api
import { setProvider, requireProvider } from '@molecule/api-ai-image-generation'
import { provider } from '@molecule/api-ai-image-generation-stability'
setProvider(provider) // reads STABILITY_API_KEY from the environment
const { images } = await requireProvider().generate({
prompt: 'A watercolor fox reading a book',
aspectRatio: '16:9', // or width/height — see @molecule/api-ai-image-generation
})
// images[0] may carry url, base64, or data — persist what the app needs to keep.
Type
provider
Installation
npm install @molecule/api-ai-image-generation-stability @molecule/api-ai-image-generation @molecule/api-secrets
API
Interfaces
StabilityConfig
Configuration for the Stability AI image generation provider.
interface StabilityConfig {
/** Stability AI API key. Defaults to STABILITY_API_KEY env var. */
apiKey?: string
/** Default generation model. Defaults to 'sd3.5-large'. */
defaultModel?: string
/** Base URL for the Stability AI API. Defaults to 'https://api.stability.ai'. */
baseUrl?: string
/** Maximum number of retry attempts for transient failures. Defaults to 3. */
maxRetries?: number
}
Classes
StabilityAIProvider
Stability AI image generation provider.
Supports Stable Diffusion 3 (sd3.5-large, sd3.5-medium, sd3-large, etc.), Stable Image Core, and Stable Image Ultra models via the Stability AI REST API.
class StabilityAIProvider implements AIImageGenerationProvider {
/** @inheritdoc */
readonly name = 'stability'
private readonly apiKey: string
private readonly defaultModel: string
private readonly baseUrl: string
private readonly maxRetries: number
/**
* Create a new Stability AI provider.
*
* @param config - Provider configuration. API key defaults to STABILITY_API_KEY env var.
*/
constructor(config: StabilityConfig = {}) {
const apiKey = config.apiKey ?? process.env['STABILITY_API_KEY']
if (!apiKey) {
throw new Error(
'Stability AI API key is required. Set STABILITY_API_KEY or pass apiKey in config.',
)
}
this.apiKey = apiKey
this.defaultModel = config.defaultModel ?? DEFAULT_MODEL
this.baseUrl = config.baseUrl ?? process.env.STABILITY_BASE_URL ?? DEFAULT_BASE_URL
this.maxRetries = config.maxRetries ?? 3
}
/**
* Generate images from a text prompt using the Stability AI API.
*
* @param params - Generation parameters.
* @returns Generated images with metadata.
*/
async generate(params: GenerateImageParams): Promise<ImageGenerationResult> {
const model = params.model ?? this.defaultModel
const endpoint = this.getGenerateEndpoint(model)
const outputFormat = params.outputFormat ?? 'png'
const images: GeneratedImage[] = []
const count = params.count ?? 1
for (let i = 0; i < count; i++) {
const form = new FormData()
form.append('prompt', params.prompt)
if (params.negativePrompt) {
form.append('negative_prompt', params.negativePrompt)
}
if (SD3_MODELS.has(model)) {
form.append('model', model)
}
this.appendDimensionParams(form, params, model)
if (params.seed !== undefined) {
form.append('seed', String(params.seed + i))
}
if (params.guidanceScale !== undefined) {
form.append('cfg_scale', String(params.guidanceScale))
}
if (params.steps !== undefined && SD3_MODELS.has(model)) {
form.append('steps', String(params.steps))
}
if (params.stylePreset && !SD3_MODELS.has(model)) {
form.append('style_preset', params.stylePreset)
}
form.append('output_format', outputFormat)
const response = await this.sendRequest(endpoint, form)
images.push(this.parseImageResponse(response, outputFormat))
}
return { images, model }
}
/**
* Transform an existing image guided by a text prompt.
*
* @param params - Image-to-image parameters.
* @returns Transformed images with metadata.
*/
async imageToImage(params: ImageToImageParams): Promise<ImageGenerationResult> {
const model = params.model ?? this.defaultModel
const endpoint = `${this.baseUrl}/v2beta/stable-image/generate/sd3`
const imageBuffer =
typeof params.image === 'string' ? Buffer.from(params.image, 'base64') : params.image
const outputFormat = params.outputFormat ?? 'png'
const images: GeneratedImage[] = []
const count = params.count ?? 1
for (let i = 0; i < count; i++) {
const form = new FormData()
form.append('prompt', params.prompt)
form.append('mode', 'image-to-image')
form.append('image', new Blob([new Uint8Array(imageBuffer)]), 'image.png')
if (SD3_MODELS.has(model)) {
form.append('model', model)
}
if (params.strength !== undefined) {
form.append('strength', String(params.strength))
}
if (params.negativePrompt) {
form.append('negative_prompt', params.negativePrompt)
}
if (params.seed !== undefined) {
form.append('seed', String(params.seed + i))
}
form.append('output_format', outputFormat)
const response = await this.sendRequest(endpoint, form)
images.push(this.parseImageResponse(response, outputFormat))
}
return { images, model }
}
/**
* Upscale an image to a higher resolution using Stability AI's conservative upscaler.
*
* @param params - Upscale parameters.
* @returns Upscaled image with metadata.
*/
async upscale(params: UpscaleImageParams): Promise<ImageGenerationResult> {
const endpoint = `${this.baseUrl}/v2beta/stable-image/upscale/conservative`
const form = new FormData()
const imageBuffer =
typeof params.image === 'string' ? Buffer.from(params.image, 'base64') : params.image
form.append('image', new Blob([new Uint8Array(imageBuffer)]), 'image.png')
if (params.prompt) {
form.append('prompt', params.prompt)
}
if (params.width) {
form.append('width', String(params.width))
}
if (params.height) {
form.append('height', String(params.height))
}
const outputFormat = params.outputFormat ?? 'png'
form.append('output_format', outputFormat)
const response = await this.sendRequest(endpoint, form)
const image = this.parseImageResponse(response, outputFormat)
return { images: [image], model: 'upscale-conservative' }
}
/**
* Determine the generation endpoint URL for a given model.
*
* @param model - The model identifier.
* @returns The full endpoint URL.
*/
private getGenerateEndpoint(model: string): string {
if (ULTRA_MODELS.has(model)) {
return `${this.baseUrl}/v2beta/stable-image/generate/ultra`
}
if (CORE_MODELS.has(model)) {
return `${this.baseUrl}/v2beta/stable-image/generate/core`
}
return `${this.baseUrl}/v2beta/stable-image/generate/sd3`
}
/**
* Append width/height or aspect_ratio to the form data depending on the model.
*
* @param form - The FormData to append to.
* @param params - The generation params.
* @param model - The model being used.
*/
private appendDimensionParams(form: FormData, params: GenerateImageParams, model: string): void {
if (params.aspectRatio) {
form.append('aspect_ratio', params.aspectRatio)
} else if (params.width || params.height) {
if (CORE_MODELS.has(model) || ULTRA_MODELS.has(model)) {
const ratio = this.dimensionsToAspectRatio(params.width ?? 1024, params.height ?? 1024)
form.append('aspect_ratio', ratio)
} else {
if (params.width) form.append('width', String(params.width))
if (params.height) form.append('height', String(params.height))
}
}
}
/**
* Convert pixel dimensions to the closest supported aspect ratio string.
*
* @param width - Image width in pixels.
* @param height - Image height in pixels.
* @returns An aspect ratio string (e.g. '16:9').
*/
private dimensionsToAspectRatio(width: number, height: number): string {
const ratio = width / height
const supported: [string, number][] = [
['1:1', 1],
['16:9', 16 / 9],
['9:16', 9 / 16],
['21:9', 21 / 9],
['9:21', 9 / 21],
['2:3', 2 / 3],
['3:2', 3 / 2],
['4:5', 4 / 5],
['5:4', 5 / 4],
]
let closest = '1:1'
let closestDiff = Infinity
for (const [name, value] of supported) {
const diff = Math.abs(ratio - value)
if (diff < closestDiff) {
closestDiff = diff
closest = name
}
}
return closest
}
/**
* Parse the raw API response into a GeneratedImage.
*
* @param response - The API response body as a Buffer.
* @param outputFormat - The requested output format.
* @returns A parsed GeneratedImage.
*/
private parseImageResponse(response: StabilityResponse, outputFormat: string): GeneratedImage {
const mimeType = `image/${outputFormat === 'jpeg' ? 'jpeg' : outputFormat}`
if (response.image) {
const data = Buffer.from(response.image, 'base64')
return { data, mimeType, base64: response.image, seed: response.seed }
}
if (response.data) {
return { data: response.data, mimeType, seed: response.seed }
}
throw new Error('Stability AI returned an unexpected response format.')
}
/**
// … truncated — the full declaration is in node_modules/@molecule/api-ai-image-generation-stability/dist/provider.d.ts
Functions
createProvider(config)
Create a Stability AI image generation provider.
function createProvider(config?: StabilityConfig): StabilityAIProvider
config— Provider configuration. API key defaults to STABILITY_API_KEY env var.
Returns: A configured StabilityAIProvider instance.
Constants
provider
The provider implementation.
const provider: AIImageGenerationProvider
aiImageGenerationStabilitySecretDefinitions
Secret definitions required by the Stability AI image generation bond.
const aiImageGenerationStabilitySecretDefinitions: SecretDefinition[]
Core Interface
Implements @molecule/api-ai-image-generation interface.
Bond Wiring
Setup function to register this provider with the core interface:
import { setProvider } from '@molecule/api-ai-image-generation'
import { provider } from '@molecule/api-ai-image-generation-stability'
export function setupAiImageGenerationStability(): void {
setProvider(provider)
}
Injection Notes
Requirements
Peer dependencies:
@molecule/api-ai-image-generation>=1.0.1@molecule/api-secrets^1.0.1
Environment Variables
STABILITY_API_KEY(required) — Stability AI API key- Setup: Create an API key under Account → API keys on the Stability platform.
- Get it here: https://platform.stability.ai/account/keys
- Example:
sk-...
Runtime Dependencies
@molecule/api-ai-image-generation@molecule/api-secrets
E2E Tests
Integration checklist — drive the real UI (live preview, no mocks), adapt each item to this app's actual screens/flows, and check every box off one by one. A box you can't check is an integration bug to fix — not a skip:
- Entering a prompt in the UI and submitting produces a REAL rendered
image in the live preview — not a broken img (image icon / alt text), a
grey placeholder, or an error toast. Confirm the
imgelement actually decoded (itsnaturalWidth/naturalHeightare non-zero) and the picture visibly reflects the prompt (a "red bicycle" prompt shows a red bicycle). - Two different prompts produce two visibly different images — a fixed stub, or a cached first result that never changes, is a broken integration.
- The image is STORED AND SERVED FROM THE APP'S OWN ORIGIN: the rendered
imgsrc(and any saved record) points at the app's uploads/storage, not the provider's temporary URL. Providerurlresults expire — reload the page (or revisit the record later) and the image must still load. Download the provider result server-side and persist it (uploads bond); never hotlink the provider URL — it 404s later and can leak the API request context. (base64/dataresults must likewise be saved, not held only in the response.) - Any exposed generation options take effect: changing size/dimensions
yields a differently-sized image; requesting a count (
n) of N renders N images. If the UI exposes no such options, this box is n/a — say so. - A rejected or policy-violating prompt, or a provider/rate-limit error, surfaces a clear message in the UI — not a crash, a blank screen, or a silently-broken img. The user can recover and try another prompt.
- Generation is server-side and authorized: the provider API key never reaches the browser (check the network tab / built client bundle — no key, no direct provider call from the page), the generate endpoint requires auth, and a caller cannot run unbounded costly generations through an open or unrate-limited route. Every image is billed.