Outpaint (Zoom Out)
The outpaint endpoint enlarges an image's canvas beyond its original size while keeping the contents of the original image unchanged. Of course you first need to Upscale 1x.
POST
https://api.apiframe.pro/outpaint
Headers
Content-Type
application/json
Authorization*
Your APIFRAME API Key
Body
parent_task_id
*
string
The task ID of the original task
zoom_ratio
*
number
Can be:
1.5 for MJ button "zoom out 1.5x"
2 for MJ button "zoom out 2x"
(1, 2] for MJ button "custom zoom"
1 for MJ button "make square"
You can take a look here
aspect_ratio
string
Aspect ratio of the image default value 1:1
prompt
string
Drawing prompt for new areas
webhook_url
string
The final result and updates of this task will be posted at this URL.
webhook_secret
string
Will be passed as x-webhook-secret
in the webhook call headers for authentication.
Response
// Success, the task has been submitted
{
"task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a"
}
This endpoint doesn't generate images instantly, you can use the Fetch endpoint to fetch the result or use webhooks.
The result (posted to the webhook_url
or retrieved with the Fetch endpoint) looks like this:
{
"task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
"task_type": "outpaint-2",
"original_image_url": "https://.../xxxxxxxx.png", // grid image
"image_urls": [
"https://.../xxxx1.png",
"https://.../xxxx2.png",
"https://.../xxxx3.png",
"https://.../xxxx4.png"
]
}
If the job is not completed, you will get a result like this:
{
"task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
"task_type": "outpaint-2",
"status": "processing",
"percentage": "80"
}
Code samples
const axios = require('axios');
let data = JSON.stringify({
"parent_task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
"zoom_ratio": "2"
});
let config = {
method: 'post',
maxBodyLength: Infinity,
url: 'https://api.apiframe.pro/outpaint',
headers: {
'Content-Type': 'application/json',
'Authorization': 'YOUR_API_KEY'
},
data : data
};
axios.request(config)
.then((response) => {
console.log(JSON.stringify(response.data));
})
.catch((error) => {
console.log(error);
});
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