Get Public Models List
curl --request POST \
--url https://modelslab.com/api/v4/dreambooth/model_list \
--header 'Content-Type: application/json' \
--data '{
"key": ""
}'import requests
url = "https://modelslab.com/api/v4/dreambooth/model_list"
payload = { "key": "" }
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({key: ''})
};
fetch('https://modelslab.com/api/v4/dreambooth/model_list', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://modelslab.com/api/v4/dreambooth/model_list",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'key' => ''
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://modelslab.com/api/v4/dreambooth/model_list"
payload := strings.NewReader("{\n \"key\": \"\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://modelslab.com/api/v4/dreambooth/model_list")
.header("Content-Type", "application/json")
.body("{\n \"key\": \"\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://modelslab.com/api/v4/dreambooth/model_list")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"key\": \"\"\n}"
response = http.request(request)
puts response.read_body[
{
"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"
}
]{
"status": "error",
"message": "<string>",
"code": 123
}Model Operations
Get Public Models List
This endpoint returns a list of all the public models available.
POST
/
model_list
Get Public Models List
curl --request POST \
--url https://modelslab.com/api/v4/dreambooth/model_list \
--header 'Content-Type: application/json' \
--data '{
"key": ""
}'import requests
url = "https://modelslab.com/api/v4/dreambooth/model_list"
payload = { "key": "" }
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({key: ''})
};
fetch('https://modelslab.com/api/v4/dreambooth/model_list', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://modelslab.com/api/v4/dreambooth/model_list",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'key' => ''
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://modelslab.com/api/v4/dreambooth/model_list"
payload := strings.NewReader("{\n \"key\": \"\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://modelslab.com/api/v4/dreambooth/model_list")
.header("Content-Type", "application/json")
.body("{\n \"key\": \"\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://modelslab.com/api/v4/dreambooth/model_list")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"key\": \"\"\n}"
response = http.request(request)
puts response.read_body[
{
"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"
}
]{
"status": "error",
"message": "<string>",
"code": 123
}Request
Send aPOST request to below endpoint to obtain a list with the available public models and their IDs.
curl
--request POST 'https://modelslab.com/api/v4/dreambooth/model_list' \
Body
json
{
"key": "your_api_key"
}
Body
application/json
Your API Key used for request authorization
Example:
""
Response
Successful response with list of public models
Unique identifier for the model
Example:
"midjourney"
Current status of the model
Example:
"model_ready"
Creation timestamp of the model
Example:
null
Prompt to use this model effectively
Example:
"mdjrny-v4 style"
Display name of the model
Example:
"MidJourney V4"
Description of the model's capabilities
Example:
"Openjourney is an open source Stable Diffusion fine tuned model on Midjourney images, by PromptHero"
URL to preview image showcasing the model's output
Example:
"https://d1okzptojspljx.cloudfront.net/generations/14853540911669470514.png"
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