Get Public Models List
Overview
This endpoint returns a list of all the public models available.
This endpoint returns an array with the IDs of the public models and information about them: status, name, description, etc.
Request
--request POST 'https://modelslab.com/api/v4/dreambooth/model_list' \
Send a POST
request to https://modelslab.com/api/v4/dreambooth/model_list endpoint to obtain a list with the available public models and their IDs.
Attributes
Parameter | Type | Description |
---|---|---|
key | String | Your API Key used for request authorization |
Example
Body
Body Raw
{
"key": ""
}
Request
- JS
- PHP
- NODE
- PYTHON
- JAVA
var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"key": ""
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://modelslab.com/api/v4/dreambooth/model_list", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
<?php
$payload = [
"key" => ""
];
$curl = curl_init();
curl_setopt_array($curl, array(
CURLOPT_URL => 'https://modelslab.com/api/v4/dreambooth/model_list',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => '',
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 0,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => 'POST',
CURLOPT_POSTFIELDS => json_encode($payload),
CURLOPT_HTTPHEADER => array(
'Content-Type: application/json'
),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
var request = require('request');
var options = {
'method': 'POST',
'url': 'https://modelslab.com/api/v4/dreambooth/model_list',
'headers': {
'Content-Type': 'application/json'
},
body: JSON.stringify({
"key": ""
})
};
request(options, function (error, response) {
if (error) throw new Error(error);
console.log(response.body);
});
import requests
import json
url = "https://modelslab.com/api/v4/dreambooth/model_list"
payload = json.dumps({
"key": ""
})
headers = {
'Content-Type': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
OkHttpClient client = new OkHttpClient().newBuilder()
.build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\n \"key\": \"\"\n}");
Request request = new Request.Builder()
.url("https://modelslab.com/api/v4/dreambooth/model_list")
.method("POST", body)
.addHeader("Content-Type", "application/json")
.build();
Response response = client.newCall(request).execute();
Response
The example response below is truncated after the initial 3 model entries; the list is too long to show it completely.
[
{
"model_id": "midjourney",
"status": "model_ready",
"created_at": null,
"instance_prompt": "mdjrny-v4 style",
"model_name": "MidJourney V4",
"description": "Openjourney is an open source Stable Diffusion fine tuned model on Midjourney images, by PromptHero",
"screenshots": "https://d1okzptojspljx.cloudfront.net/generations/14853540911669470514.png"
},
{
"model_id": "anything-v3",
"status": "model_ready",
"created_at": null,
"instance_prompt": null,
"model_name": "Anything V3",
"description": "This model is intended to produce high-quality, highly detailed anime style with just a few prompts.",
"screenshots": "https://d1okzptojspljx.cloudfront.net/generations/8589140601669473451.png"
},
{
"model_id": "wifu-diffusion",
"status": "model_ready",
"created_at": null,
"instance_prompt": null,
"model_name": "Wifu Diffusion",
"description": "waifu-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality anime images through fine-tuning.",
"screenshots": "https://d1okzptojspljx.cloudfront.net/generations/21468819471669474933.png"
},
...
]