create video by text or image or reference image
curl --request POST \
--url https://pollo.ai/api/platform/generation/luma/luma-ray-2-0 \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"input": {
"image": "<string>",
"prompt": "<string>",
"resolution": "540p",
"length": 5,
"aspectRatio": "16:9",
"imageTail": "<string>"
},
"webhookUrl": "<string>",
"clientSource": "<string>"
}
'import requests
url = "https://pollo.ai/api/platform/generation/luma/luma-ray-2-0"
payload = {
"input": {
"image": "<string>",
"prompt": "<string>",
"resolution": "540p",
"length": 5,
"aspectRatio": "16:9",
"imageTail": "<string>"
},
"webhookUrl": "<string>",
"clientSource": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
input: {
image: '<string>',
prompt: '<string>',
resolution: '540p',
length: 5,
aspectRatio: '16:9',
imageTail: '<string>'
},
webhookUrl: '<string>',
clientSource: '<string>'
})
};
fetch('https://pollo.ai/api/platform/generation/luma/luma-ray-2-0', 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://pollo.ai/api/platform/generation/luma/luma-ray-2-0",
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([
'input' => [
'image' => '<string>',
'prompt' => '<string>',
'resolution' => '540p',
'length' => 5,
'aspectRatio' => '16:9',
'imageTail' => '<string>'
],
'webhookUrl' => '<string>',
'clientSource' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($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://pollo.ai/api/platform/generation/luma/luma-ray-2-0"
payload := strings.NewReader("{\n \"input\": {\n \"image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"resolution\": \"540p\",\n \"length\": 5,\n \"aspectRatio\": \"16:9\",\n \"imageTail\": \"<string>\"\n },\n \"webhookUrl\": \"<string>\",\n \"clientSource\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
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://pollo.ai/api/platform/generation/luma/luma-ray-2-0")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"input\": {\n \"image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"resolution\": \"540p\",\n \"length\": 5,\n \"aspectRatio\": \"16:9\",\n \"imageTail\": \"<string>\"\n },\n \"webhookUrl\": \"<string>\",\n \"clientSource\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://pollo.ai/api/platform/generation/luma/luma-ray-2-0")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"input\": {\n \"image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"resolution\": \"540p\",\n \"length\": 5,\n \"aspectRatio\": \"16:9\",\n \"imageTail\": \"<string>\"\n },\n \"webhookUrl\": \"<string>\",\n \"clientSource\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"taskId": "<string>"
}{
"message": "<string>",
"code": "<string>",
"issues": [
{
"message": "<string>"
}
]
}Luma
Luma Ray 2.0 API Documentation
Luma Ray 2.0 is the advanced video generation model from Luma AI, focusing on high-quality visual effects and detailed text and image to video transformations. Learn how to integrate it here.
POST
/
generation
/
luma
/
luma-ray-2-0
create video by text or image or reference image
curl --request POST \
--url https://pollo.ai/api/platform/generation/luma/luma-ray-2-0 \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"input": {
"image": "<string>",
"prompt": "<string>",
"resolution": "540p",
"length": 5,
"aspectRatio": "16:9",
"imageTail": "<string>"
},
"webhookUrl": "<string>",
"clientSource": "<string>"
}
'import requests
url = "https://pollo.ai/api/platform/generation/luma/luma-ray-2-0"
payload = {
"input": {
"image": "<string>",
"prompt": "<string>",
"resolution": "540p",
"length": 5,
"aspectRatio": "16:9",
"imageTail": "<string>"
},
"webhookUrl": "<string>",
"clientSource": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
input: {
image: '<string>',
prompt: '<string>',
resolution: '540p',
length: 5,
aspectRatio: '16:9',
imageTail: '<string>'
},
webhookUrl: '<string>',
clientSource: '<string>'
})
};
fetch('https://pollo.ai/api/platform/generation/luma/luma-ray-2-0', 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://pollo.ai/api/platform/generation/luma/luma-ray-2-0",
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([
'input' => [
'image' => '<string>',
'prompt' => '<string>',
'resolution' => '540p',
'length' => 5,
'aspectRatio' => '16:9',
'imageTail' => '<string>'
],
'webhookUrl' => '<string>',
'clientSource' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($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://pollo.ai/api/platform/generation/luma/luma-ray-2-0"
payload := strings.NewReader("{\n \"input\": {\n \"image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"resolution\": \"540p\",\n \"length\": 5,\n \"aspectRatio\": \"16:9\",\n \"imageTail\": \"<string>\"\n },\n \"webhookUrl\": \"<string>\",\n \"clientSource\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
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://pollo.ai/api/platform/generation/luma/luma-ray-2-0")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"input\": {\n \"image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"resolution\": \"540p\",\n \"length\": 5,\n \"aspectRatio\": \"16:9\",\n \"imageTail\": \"<string>\"\n },\n \"webhookUrl\": \"<string>\",\n \"clientSource\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://pollo.ai/api/platform/generation/luma/luma-ray-2-0")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"input\": {\n \"image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"resolution\": \"540p\",\n \"length\": 5,\n \"aspectRatio\": \"16:9\",\n \"imageTail\": \"<string>\"\n },\n \"webhookUrl\": \"<string>\",\n \"clientSource\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"taskId": "<string>"
}{
"message": "<string>",
"code": "<string>",
"issues": [
{
"message": "<string>"
}
]
}Check out Luma Ray 2.0 API pricing here, cheaper than Fal AI.
Authorizations
API key to authorize requests
Body
application/json
⌘I