Gemini Omni Flash R2V
curl --request POST \
--url https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "Combine the character and the background style into one scene",
"referenceImages": [
"https://example.com/ref-1.jpg",
"https://example.com/ref-2.jpg"
]
}
'const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: 'Combine the character and the background style into one scene',
referenceImages: ['https://example.com/ref-1.jpg', 'https://example.com/ref-2.jpg']
})
};
fetch('https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));import requests
url = "https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v"
payload = {
"prompt": "Combine the character and the background style into one scene",
"referenceImages": ["https://example.com/ref-1.jpg", "https://example.com/ref-2.jpg"]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v"
payload := strings.NewReader("{\n \"prompt\": \"Combine the character and the background style into one scene\",\n \"referenceImages\": [\n \"https://example.com/ref-1.jpg\",\n \"https://example.com/ref-2.jpg\"\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"Combine the character and the background style into one scene\",\n \"referenceImages\": [\n \"https://example.com/ref-1.jpg\",\n \"https://example.com/ref-2.jpg\"\n ]\n}")
.asString();const url = 'https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v';
const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: 'Combine the character and the background style into one scene',
referenceImages: ['https://example.com/ref-1.jpg', 'https://example.com/ref-2.jpg']
})
};
fetch(url, options)
.then(res => res.json())
.then(json => console.log(json))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v",
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([
'prompt' => 'Combine the character and the background style into one scene',
'referenceImages' => [
'https://example.com/ref-1.jpg',
'https://example.com/ref-2.jpg'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}require 'uri'
require 'net/http'
url = URI("https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"Combine the character and the background style into one scene\",\n \"referenceImages\": [\n \"https://example.com/ref-1.jpg\",\n \"https://example.com/ref-2.jpg\"\n ]\n}"
response = http.request(request)
puts response.read_bodyimport Foundation
let parameters = [
"prompt": "Combine the character and the background style into one scene",
"referenceImages": ["https://example.com/ref-1.jpg", "https://example.com/ref-2.jpg"]
] as [String : Any?]
let postData = try JSONSerialization.data(withJSONObject: parameters, options: [])
let url = URL(string: "https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.timeoutInterval = 10
request.allHTTPHeaderFields = [
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
]
request.httpBody = postData
let (data, _) = try await URLSession.shared.data(for: request)
print(String(decoding: data, as: UTF8.self))$headers=@{}
$headers.Add("Authorization", "Bearer <token>")
$headers.Add("Content-Type", "application/json")
$response = Invoke-WebRequest -Uri 'https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
"prompt": "Combine the character and the background style into one scene",
"referenceImages": [
"https://example.com/ref-1.jpg",
"https://example.com/ref-2.jpg"
]
}'{
"code": 0,
"message": "success",
"data": {
"status": "pending",
"task_id": "task-omni001",
"model_id": "google/gemini-omni-flash-r2v",
"get_result": {
"method": "GET",
"url": "https://api.modellix.ai/api/v1/tasks/task-omni001"
}
}
}{
"code": 400,
"message": "Invalid parameters: parameter 'prompt' is required"
}{
"code": 401,
"message": "Authentication failed: invalid API key"
}{
"code": 429,
"message": "Rate limit exceeded: 100 requests per minute, retry after 60 seconds"
}{
"code": 500,
"message": "Internal server error"
}Gemini Omni Flash R2V
[Core Function] Gemini Omni Flash R2V (Reference-to-Video) generates a short 720p video guided by up to three reference images via the Interactions API. [Strengths] It fuses the styles, subjects, or elements from multiple reference images (referred to in the text prompt) into a single coherent animated clip with synchronized audio. [Best For] Highly recommended for: blending characters or visual styles from several images, reference-guided creative shots, and multi-subject compositions where the prompt directs how the references combine. [Limitations] Do NOT use this model if you only have a single starting frame (use I2V instead), or if you need 1080p or 4K or clips longer than 10 seconds; it accepts 1 to 3 reference images and outputs 720p up to 10 seconds (16:9 or 9:16). [Routing] Choose this when the user supplies multiple reference images to combine into one video. For single first-frame animation use Gemini Omni Flash I2V; to modify an existing video use Gemini Omni Flash Video Edit.
POST
/
google
/
gemini-omni-flash-r2v
Gemini Omni Flash R2V
curl --request POST \
--url https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "Combine the character and the background style into one scene",
"referenceImages": [
"https://example.com/ref-1.jpg",
"https://example.com/ref-2.jpg"
]
}
'const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: 'Combine the character and the background style into one scene',
referenceImages: ['https://example.com/ref-1.jpg', 'https://example.com/ref-2.jpg']
})
};
fetch('https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));import requests
url = "https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v"
payload = {
"prompt": "Combine the character and the background style into one scene",
"referenceImages": ["https://example.com/ref-1.jpg", "https://example.com/ref-2.jpg"]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v"
payload := strings.NewReader("{\n \"prompt\": \"Combine the character and the background style into one scene\",\n \"referenceImages\": [\n \"https://example.com/ref-1.jpg\",\n \"https://example.com/ref-2.jpg\"\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"Combine the character and the background style into one scene\",\n \"referenceImages\": [\n \"https://example.com/ref-1.jpg\",\n \"https://example.com/ref-2.jpg\"\n ]\n}")
.asString();const url = 'https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v';
const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: 'Combine the character and the background style into one scene',
referenceImages: ['https://example.com/ref-1.jpg', 'https://example.com/ref-2.jpg']
})
};
fetch(url, options)
.then(res => res.json())
.then(json => console.log(json))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v",
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([
'prompt' => 'Combine the character and the background style into one scene',
'referenceImages' => [
'https://example.com/ref-1.jpg',
'https://example.com/ref-2.jpg'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}require 'uri'
require 'net/http'
url = URI("https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"Combine the character and the background style into one scene\",\n \"referenceImages\": [\n \"https://example.com/ref-1.jpg\",\n \"https://example.com/ref-2.jpg\"\n ]\n}"
response = http.request(request)
puts response.read_bodyimport Foundation
let parameters = [
"prompt": "Combine the character and the background style into one scene",
"referenceImages": ["https://example.com/ref-1.jpg", "https://example.com/ref-2.jpg"]
] as [String : Any?]
let postData = try JSONSerialization.data(withJSONObject: parameters, options: [])
let url = URL(string: "https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.timeoutInterval = 10
request.allHTTPHeaderFields = [
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
]
request.httpBody = postData
let (data, _) = try await URLSession.shared.data(for: request)
print(String(decoding: data, as: UTF8.self))$headers=@{}
$headers.Add("Authorization", "Bearer <token>")
$headers.Add("Content-Type", "application/json")
$response = Invoke-WebRequest -Uri 'https://api.modellix.ai/api/v1/google/gemini-omni-flash-r2v' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
"prompt": "Combine the character and the background style into one scene",
"referenceImages": [
"https://example.com/ref-1.jpg",
"https://example.com/ref-2.jpg"
]
}'{
"code": 0,
"message": "success",
"data": {
"status": "pending",
"task_id": "task-omni001",
"model_id": "google/gemini-omni-flash-r2v",
"get_result": {
"method": "GET",
"url": "https://api.modellix.ai/api/v1/tasks/task-omni001"
}
}
}{
"code": 400,
"message": "Invalid parameters: parameter 'prompt' is required"
}{
"code": 401,
"message": "Authentication failed: invalid API key"
}{
"code": 429,
"message": "Rate limit exceeded: 100 requests per minute, retry after 60 seconds"
}{
"code": 500,
"message": "Internal server error"
}Authorizations
API Key authentication. Format: Bearer YOUR_API_KEY.
Body
application/json
Gemini Omni Flash reference-to-video request. Fuses 1 to 3 referenceImages guided by the prompt. Supports aspectRatio and duration (up to 10 seconds). Output is fixed at 720p.
Video description text
Minimum string length:
1Example:
"Combine the character and the background style into one scene"
1 to 3 reference image URLs whose subjects or styles are fused into the video, guided by the prompt.
Required array length:
1 - 3 elementsExample:
[
"https://example.com/ref-1.jpg",
"https://example.com/ref-2.jpg"
]
Video aspect ratio. Output resolution is fixed at 720p.
Available options:
16:9, 9:16 Example:
"16:9"
Video duration in seconds (string type). Maximum 10 seconds.
Available options:
4, 6, 8, 10 Example:
"8"