FLUX.1 Kontext Pro Image Generation
Generate and edit context-aware images with FLUX.1 Kontext Pro.
Context-aware image generation and editing that preserves subjects and visual style across changes.
Provider
Black Forest LabsModel ID
flux-kontext-proEndpoint
POST /api-platform/v1/generationsAuthentication
Base URL: https://aihub-admin.aimix.pro. Send Authorization: Bearer <PIXMIND_API_KEY> on both creation and polling requests, and Content-Type: application/json when submitting JSON. Keep your key in a server environment variable.
Model notes
- For editing, include at least one referenceImages URL.
Request parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | Yes | Stable PixMind model ID. Use `flux-kontext-pro`. Allowed values: |
prompt | string | Yes | Natural-language generation or editing instructions. |
aspectRatio | string | No | Requested output aspect ratio. Allowed values: Default: |
referenceImages | string[] (URI) | No | Reference image URLs used for editing, composition, subject, or style guidance. |
Request example
curl --request POST 'https://aihub-admin.aimix.pro/api-platform/v1/generations' \
-H "Authorization: Bearer $PIXMIND_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "flux-kontext-pro",
"prompt": "Replace the background with a warm modern kitchen while keeping the product unchanged",
"aspectRatio": "4:3",
"referenceImages": [
"https://example.com/source.jpg"
]
}'// Node.js 20+. Keep the API key on your server.
const apiKey = process.env.PIXMIND_API_KEY;
if (!apiKey) throw new Error("PIXMIND_API_KEY is required");
const response = await fetch("https://aihub-admin.aimix.pro/api-platform/v1/generations", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "flux-kontext-pro",
"prompt": "Replace the background with a warm modern kitchen while keeping the product unchanged",
"aspectRatio": "4:3",
"referenceImages": [
"https://example.com/source.jpg"
]
}),
signal: AbortSignal.timeout(30_000)
});
const task = await response.json();
if (!response.ok || task.code !== 1000) {
throw new Error(task.message ?? task.error?.message ?? `HTTP ${response.status}`);
}
console.log(task);Accepted task response
Generation is asynchronous. Save taskId and poll GET /api-platform/v1/tasks/{taskId} until status is ready or failed.
{
"code": 1000,
"data": {
"id": "img_44160",
"taskId": 44160,
"type": "image",
"model": "flux-kontext-pro",
"status": "processing"
}
}Query the task and retrieve results
Replace 44160 with data.taskId from the accepted response, using a key belonging to the same user. pending and processing are non-terminal; ready and failed are terminal. On ready, read images (images) or videoUrl (videos); on failed, read errorMessage. The example stops after 60 queries. If it times out, save taskId and query again later instead of creating a duplicate task. Example result URLs are placeholders.
curl 'https://aihub-admin.aimix.pro/api-platform/v1/tasks/44160' \
-H "Authorization: Bearer $PIXMIND_API_KEY"// Continue after the request example above.
const taskId = task.data?.taskId;
if (!Number.isInteger(taskId)) throw new Error("Missing numeric taskId");
async function waitForTask(taskId) {
for (let attempt = 0; attempt < 60; attempt++) {
await new Promise(resolve => setTimeout(resolve, Math.min(2000 * 1.5 ** attempt, 10000)));
const response = await fetch(`https://aihub-admin.aimix.pro/api-platform/v1/tasks/${taskId}`, {
headers: { Authorization: `Bearer ${apiKey}` },
signal: AbortSignal.timeout(30_000)
});
const result = await response.json();
if (!response.ok || result.code !== 1000) {
throw new Error(result.message ?? `HTTP ${response.status}`);
}
const data = result.data;
if (data.status === "ready") return data;
if (data.status === "failed") {
throw new Error(data.errorMessage ?? "Generation failed");
}
if (!["pending", "processing"].includes(data.status)) {
throw new Error(`Unexpected task status: ${data.status}`);
}
}
throw new Error(`Polling timed out; save taskId ${taskId} to query again later`);
}
const result = await waitForTask(taskId);
console.log(result.images);{
"code": 1000,
"data": {
"taskId": 44160,
"type": "image",
"model": "flux-kontext-pro",
"status": "ready",
"progress": 100,
"images": [
"https://example.com/result.png"
]
}
}