curl --request POST \
--url 'https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse' \
--header 'Authorization: Bearer sk-xxxxxxxxxx' \
--header 'Content-Type: application/json' \
--no-buffer \
--data '{
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}'
import json
import requests
url = "https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse"
headers = {
"Authorization": "Bearer sk-xxxxxxxxxx",
"Content-Type": "application/json"
}
payload = {
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
with requests.post(url, json=payload, headers=headers, stream=True) as response:
response.raise_for_status()
for line in response.iter_lines(decode_unicode=True):
if not line or not line.startswith("data: "):
continue
chunk = json.loads(line.removeprefix("data: "))
print(chunk)
const response = await fetch('https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse', {
method: 'POST',
headers: {
'Authorization': 'Bearer sk-xxxxxxxxxx',
'Content-Type': 'application/json'
},
body: JSON.stringify({
contents: [
{
role: "user",
parts: [
{
text: "A cute orange kitten sitting in a garden"
}
]
}
],
generationConfig: {
responseModalities: [
"TEXT",
"IMAGE"
],
imageConfig: {
aspectRatio: "16:9",
imageSize: "2K"
}
}
})
});
const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = "";
while (true) {
const { value, done } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split("\n");
buffer = lines.pop() ?? "";
for (const line of lines) {
if (!line.startsWith("data: ")) continue;
const chunk = JSON.parse(line.slice("data: ".length));
console.log(chunk);
}
}
if (buffer.startsWith("data: ")) {
const chunk = JSON.parse(buffer.slice("data: ".length));
console.log(chunk);
}
<?php
$client = new GuzzleHttp\Client();
$response = $client->post('https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse', [
'headers' => [
'Authorization' => 'Bearer sk-xxxxxxxxxx',
'Content-Type' => 'application/json',
],
'stream' => true,
'json' => [
'contents' => [
[
'role' => 'user',
'parts' => [
[
'text' => 'A cute orange kitten sitting in a garden'
]
]
]
],
'generationConfig' => [
'responseModalities' => [
'TEXT',
'IMAGE'
],
'imageConfig' => [
'aspectRatio' => '16:9',
'imageSize' => '2K'
]
]
]
]);
$body = $response->getBody();
$buffer = '';
while (!$body->eof()) {
$buffer .= $body->read(8192);
$lines = explode("\n", $buffer);
$buffer = array_pop($lines);
foreach ($lines as $line) {
if (str_starts_with($line, 'data: ')) {
print_r(json_decode(substr($line, 6), true));
}
}
}
if (str_starts_with($buffer, 'data: ')) {
print_r(json_decode(substr($buffer, 6), true));
}
package main
import (
"bufio"
"bytes"
"encoding/json"
"fmt"
"net/http"
"strings"
)
func main() {
payload := map[string]interface{}{
"contents": []interface{}{
map[string]interface{}{
"role": "user",
"parts": []interface{}{
map[string]interface{}{
"text": "A cute orange kitten sitting in a garden",
},
},
},
},
"generationConfig": map[string]interface{}{
"responseModalities": []string{
"TEXT",
"IMAGE",
},
"imageConfig": map[string]interface{}{
"aspectRatio": "16:9",
"imageSize": "2K",
},
},
}
body, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", "https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse", bytes.NewBuffer(body))
req.Header.Set("Authorization", "Bearer sk-xxxxxxxxxx")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
reader := bufio.NewReader(resp.Body)
for {
line, err := reader.ReadString('\n')
if len(line) > 0 {
line = strings.TrimSuffix(line, "\n")
line = strings.TrimSuffix(line, "\r")
}
if strings.HasPrefix(line, "data: ") {
fmt.Println(strings.TrimPrefix(line, "data: "))
}
if err != nil {
break
}
}
}
import java.net.http.*;
import java.net.URI;
HttpClient client = HttpClient.newHttpClient();
String json = """
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
""";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse"))
.header("Authorization", "Bearer sk-xxxxxxxxxx")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<java.util.stream.Stream<String>> response = client.send(
request,
HttpResponse.BodyHandlers.ofLines()
);
response.body()
.filter(line -> line.startsWith("data: "))
.forEach(line -> System.out.println(line.substring("data: ".length())));
require 'net/http'
require 'json'
uri = URI('https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse')
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true
request = Net::HTTP::Post.new(uri)
request['Authorization'] = 'Bearer sk-xxxxxxxxxx'
request['Content-Type'] = 'application/json'
request.body = {
contents: [
{
role: 'user',
parts: [
{
text: 'A cute orange kitten sitting in a garden'
}
]
}
],
generationConfig: {
responseModalities: [
'TEXT',
'IMAGE'
],
imageConfig: {
aspectRatio: '16:9',
imageSize: '2K'
}
}
}.to_json
http.request(request) do |response|
buffer = ''
response.read_body do |chunk|
buffer << chunk
lines = buffer.split("\n")
buffer = lines.pop || ''
lines.each do |line|
line = line.delete_suffix("\r")
next unless line.start_with?('data: ')
puts JSON.parse(line.delete_prefix('data: '))
end
end
if buffer.start_with?('data: ')
puts JSON.parse(buffer.delete_prefix('data: '))
end
end
data: {"candidates":[{"content":{"role":"model","parts":[{"text":"Generating the image."}]}}],"modelVersion":"gemini-3.1-flash-image","responseId":"stream-response-id"}
data: {"candidates":[{"content":{"role":"model","parts":[{"inlineData":{"mimeType":"image/png","data":"iVBORw0KGgoAAAANSUhEUgAAAAQAAAAECAIA..."}}]},"finishReason":"STOP"}],"usageMetadata":{"promptTokenCount":13,"candidatesTokenCount":1680,"totalTokenCount":1693,"promptTokensDetails":[{"modality":"TEXT","tokenCount":13}],"candidatesTokensDetails":[{"modality":"IMAGE","tokenCount":1680}]},"modelVersion":"gemini-3.1-flash-image","responseId":"stream-response-id"}
Image Series
Gemini Native (Image, Streaming)
Gemini native image generation models, streaming text-to-image and image-to-image with streamGenerateContent
POST
/
v1
/
models
/
{model}
:streamGenerateContent
curl --request POST \
--url 'https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse' \
--header 'Authorization: Bearer sk-xxxxxxxxxx' \
--header 'Content-Type: application/json' \
--no-buffer \
--data '{
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}'
import json
import requests
url = "https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse"
headers = {
"Authorization": "Bearer sk-xxxxxxxxxx",
"Content-Type": "application/json"
}
payload = {
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
with requests.post(url, json=payload, headers=headers, stream=True) as response:
response.raise_for_status()
for line in response.iter_lines(decode_unicode=True):
if not line or not line.startswith("data: "):
continue
chunk = json.loads(line.removeprefix("data: "))
print(chunk)
const response = await fetch('https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse', {
method: 'POST',
headers: {
'Authorization': 'Bearer sk-xxxxxxxxxx',
'Content-Type': 'application/json'
},
body: JSON.stringify({
contents: [
{
role: "user",
parts: [
{
text: "A cute orange kitten sitting in a garden"
}
]
}
],
generationConfig: {
responseModalities: [
"TEXT",
"IMAGE"
],
imageConfig: {
aspectRatio: "16:9",
imageSize: "2K"
}
}
})
});
const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = "";
while (true) {
const { value, done } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split("\n");
buffer = lines.pop() ?? "";
for (const line of lines) {
if (!line.startsWith("data: ")) continue;
const chunk = JSON.parse(line.slice("data: ".length));
console.log(chunk);
}
}
if (buffer.startsWith("data: ")) {
const chunk = JSON.parse(buffer.slice("data: ".length));
console.log(chunk);
}
<?php
$client = new GuzzleHttp\Client();
$response = $client->post('https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse', [
'headers' => [
'Authorization' => 'Bearer sk-xxxxxxxxxx',
'Content-Type' => 'application/json',
],
'stream' => true,
'json' => [
'contents' => [
[
'role' => 'user',
'parts' => [
[
'text' => 'A cute orange kitten sitting in a garden'
]
]
]
],
'generationConfig' => [
'responseModalities' => [
'TEXT',
'IMAGE'
],
'imageConfig' => [
'aspectRatio' => '16:9',
'imageSize' => '2K'
]
]
]
]);
$body = $response->getBody();
$buffer = '';
while (!$body->eof()) {
$buffer .= $body->read(8192);
$lines = explode("\n", $buffer);
$buffer = array_pop($lines);
foreach ($lines as $line) {
if (str_starts_with($line, 'data: ')) {
print_r(json_decode(substr($line, 6), true));
}
}
}
if (str_starts_with($buffer, 'data: ')) {
print_r(json_decode(substr($buffer, 6), true));
}
package main
import (
"bufio"
"bytes"
"encoding/json"
"fmt"
"net/http"
"strings"
)
func main() {
payload := map[string]interface{}{
"contents": []interface{}{
map[string]interface{}{
"role": "user",
"parts": []interface{}{
map[string]interface{}{
"text": "A cute orange kitten sitting in a garden",
},
},
},
},
"generationConfig": map[string]interface{}{
"responseModalities": []string{
"TEXT",
"IMAGE",
},
"imageConfig": map[string]interface{}{
"aspectRatio": "16:9",
"imageSize": "2K",
},
},
}
body, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", "https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse", bytes.NewBuffer(body))
req.Header.Set("Authorization", "Bearer sk-xxxxxxxxxx")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
reader := bufio.NewReader(resp.Body)
for {
line, err := reader.ReadString('\n')
if len(line) > 0 {
line = strings.TrimSuffix(line, "\n")
line = strings.TrimSuffix(line, "\r")
}
if strings.HasPrefix(line, "data: ") {
fmt.Println(strings.TrimPrefix(line, "data: "))
}
if err != nil {
break
}
}
}
import java.net.http.*;
import java.net.URI;
HttpClient client = HttpClient.newHttpClient();
String json = """
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
""";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse"))
.header("Authorization", "Bearer sk-xxxxxxxxxx")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<java.util.stream.Stream<String>> response = client.send(
request,
HttpResponse.BodyHandlers.ofLines()
);
response.body()
.filter(line -> line.startsWith("data: "))
.forEach(line -> System.out.println(line.substring("data: ".length())));
require 'net/http'
require 'json'
uri = URI('https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse')
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true
request = Net::HTTP::Post.new(uri)
request['Authorization'] = 'Bearer sk-xxxxxxxxxx'
request['Content-Type'] = 'application/json'
request.body = {
contents: [
{
role: 'user',
parts: [
{
text: 'A cute orange kitten sitting in a garden'
}
]
}
],
generationConfig: {
responseModalities: [
'TEXT',
'IMAGE'
],
imageConfig: {
aspectRatio: '16:9',
imageSize: '2K'
}
}
}.to_json
http.request(request) do |response|
buffer = ''
response.read_body do |chunk|
buffer << chunk
lines = buffer.split("\n")
buffer = lines.pop || ''
lines.each do |line|
line = line.delete_suffix("\r")
next unless line.start_with?('data: ')
puts JSON.parse(line.delete_prefix('data: '))
end
end
if buffer.start_with?('data: ')
puts JSON.parse(buffer.delete_prefix('data: '))
end
end
data: {"candidates":[{"content":{"role":"model","parts":[{"text":"Generating the image."}]}}],"modelVersion":"gemini-3.1-flash-image","responseId":"stream-response-id"}
data: {"candidates":[{"content":{"role":"model","parts":[{"inlineData":{"mimeType":"image/png","data":"iVBORw0KGgoAAAANSUhEUgAAAAQAAAAECAIA..."}}]},"finishReason":"STOP"}],"usageMetadata":{"promptTokenCount":13,"candidatesTokenCount":1680,"totalTokenCount":1693,"promptTokensDetails":[{"modality":"TEXT","tokenCount":13}],"candidatesTokensDetails":[{"modality":"IMAGE","tokenCount":1680}]},"modelVersion":"gemini-3.1-flash-image","responseId":"stream-response-id"}
Introduction
streamGenerateContent is the streaming version of Gemini native generateContent. Nano Banana maps to Google Gemini’s native image generation capability, including Nano Banana (gemini-2.5-flash-image), Nano Banana 2 (gemini-3.1-flash-image, gemini-3.1-flash-image-preview), and Nano Banana Pro (gemini-3-pro-image). When calling the MixRoute native streaming API, use the endpoint POST /v1/models/<model>:streamGenerateContent?alt=sse and pass a JSON Payload that follows the Gemini native structure. It supports text-to-image, image-to-image, and multi-image fusion.
The streaming API returns Server-Sent Events (SSE). Clients should read the data: event content line by line instead of parsing the entire response body as a single JSON object.
For complete parameters and multi-model details, see Image generation.
Authentication
Bearer Token, such asBearer sk-xxxxxxxxxx
Supported Models
| Model ID | Description |
|---|---|
gemini-2.5-flash-image | Nano Banana, cost-effective text-to-image/image-to-image, with fixed 1024px-class output dimensions |
gemini-3.1-flash-image | Nano Banana 2, an excellent balance of image quality and speed, supporting 1K, 2K, and 4K output |
gemini-3.1-flash-image-preview | Nano Banana 2 preview, supports image generation testing |
gemini-3-pro-image | Nano Banana Pro, higher image quality and strong detail control, supporting 1K, 2K, and 4K output |
Basic Examples
- Text-to-image
- Image-to-image
curl -X POST "https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse" \
-H "Authorization: Bearer sk-xxxxxxxxxx" \
-H "Content-Type: application/json" \
--no-buffer \
-d '{
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden, bright sunshine, high-quality photography"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}'
curl -X POST "https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse" \
-H "Authorization: Bearer sk-xxxxxxxxxx" \
-H "Content-Type: application/json" \
--no-buffer \
-d '{
"contents": [
{
"role": "user",
"parts": [
{
"text": "Generate an image overlooking Canton Tower based on this image"
},
{
"inlineData": {
"mimeType": "image/png",
"data": "iVBORw0KGgoAAA..."
}
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}'
Request Parameters
string
required
The Gemini native (image) model identifier, located in the URL path, such as
gemini-3.1-flash-image or gemini-3-pro-image.string
Streaming response format. When
sse is passed, the API returns streaming GenerateContentResponse data as Server-Sent Events.array
required
Native conversation or image content list.
Show contents subfields
Show contents subfields
string
Role identifier, usually
"user".array
required
Content block list. Each element can be a text prompt (
{"text": "..."}) or inline media data ({"inlineData": {"mimeType": "...", "data": "<BASE64>"}}).object
Generation configuration parameters.
Show generationConfig subfields
Show generationConfig subfields
array
Response modalities. If this field is provided, it must include
"IMAGE"; the common form is ["TEXT", "IMAGE"].object
Image generation configuration.
Show imageConfig subfields
Show imageConfig subfields
string
The output image aspect ratio.
gemini-2.5-flash-image and gemini-3-pro-image support "1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9", and "21:9"; the gemini-3.1-flash-image series additionally supports "1:4", "4:1", "1:8", and "8:1".string
The output resolution or size tier.
gemini-2.5-flash-image does not use this field and returns fixed 1024px-class dimensions according to the aspect ratio; the gemini-3.1-flash-image series and gemini-3-pro-image support "1K", "2K", and "4K".Response Format
The API returns an SSE stream. Eachdata: event contains a JSON GenerateContentResponse instance; images may appear in one or more chunks’ candidates as one or more Base64-encoded inlineData entries. Clients should read SSE line by line and parse the JSON after each data: separately.
| Field | Type | Description |
|---|---|---|
data | string | SSE event data line, containing one JSON GenerateContentResponse |
candidates[].content.parts[].text | string | Text fragment returned by the model |
candidates[].content.parts[].inlineData.mimeType | string | Image MIME type, such as image/png |
candidates[].content.parts[].inlineData.data | string | Base64-encoded image data |
candidates[].finishReason | string | Generation finish reason, such as "STOP" |
usageMetadata.promptTokenCount | integer | Number of input tokens |
usageMetadata.candidatesTokenCount | integer | Number of output tokens (image tokens) |
modelVersion | string | The actual model version used |
responseId | string | Unique response identifier |
curl --request POST \
--url 'https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse' \
--header 'Authorization: Bearer sk-xxxxxxxxxx' \
--header 'Content-Type: application/json' \
--no-buffer \
--data '{
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}'
import json
import requests
url = "https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse"
headers = {
"Authorization": "Bearer sk-xxxxxxxxxx",
"Content-Type": "application/json"
}
payload = {
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
with requests.post(url, json=payload, headers=headers, stream=True) as response:
response.raise_for_status()
for line in response.iter_lines(decode_unicode=True):
if not line or not line.startswith("data: "):
continue
chunk = json.loads(line.removeprefix("data: "))
print(chunk)
const response = await fetch('https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse', {
method: 'POST',
headers: {
'Authorization': 'Bearer sk-xxxxxxxxxx',
'Content-Type': 'application/json'
},
body: JSON.stringify({
contents: [
{
role: "user",
parts: [
{
text: "A cute orange kitten sitting in a garden"
}
]
}
],
generationConfig: {
responseModalities: [
"TEXT",
"IMAGE"
],
imageConfig: {
aspectRatio: "16:9",
imageSize: "2K"
}
}
})
});
const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = "";
while (true) {
const { value, done } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split("\n");
buffer = lines.pop() ?? "";
for (const line of lines) {
if (!line.startsWith("data: ")) continue;
const chunk = JSON.parse(line.slice("data: ".length));
console.log(chunk);
}
}
if (buffer.startsWith("data: ")) {
const chunk = JSON.parse(buffer.slice("data: ".length));
console.log(chunk);
}
<?php
$client = new GuzzleHttp\Client();
$response = $client->post('https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse', [
'headers' => [
'Authorization' => 'Bearer sk-xxxxxxxxxx',
'Content-Type' => 'application/json',
],
'stream' => true,
'json' => [
'contents' => [
[
'role' => 'user',
'parts' => [
[
'text' => 'A cute orange kitten sitting in a garden'
]
]
]
],
'generationConfig' => [
'responseModalities' => [
'TEXT',
'IMAGE'
],
'imageConfig' => [
'aspectRatio' => '16:9',
'imageSize' => '2K'
]
]
]
]);
$body = $response->getBody();
$buffer = '';
while (!$body->eof()) {
$buffer .= $body->read(8192);
$lines = explode("\n", $buffer);
$buffer = array_pop($lines);
foreach ($lines as $line) {
if (str_starts_with($line, 'data: ')) {
print_r(json_decode(substr($line, 6), true));
}
}
}
if (str_starts_with($buffer, 'data: ')) {
print_r(json_decode(substr($buffer, 6), true));
}
package main
import (
"bufio"
"bytes"
"encoding/json"
"fmt"
"net/http"
"strings"
)
func main() {
payload := map[string]interface{}{
"contents": []interface{}{
map[string]interface{}{
"role": "user",
"parts": []interface{}{
map[string]interface{}{
"text": "A cute orange kitten sitting in a garden",
},
},
},
},
"generationConfig": map[string]interface{}{
"responseModalities": []string{
"TEXT",
"IMAGE",
},
"imageConfig": map[string]interface{}{
"aspectRatio": "16:9",
"imageSize": "2K",
},
},
}
body, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", "https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse", bytes.NewBuffer(body))
req.Header.Set("Authorization", "Bearer sk-xxxxxxxxxx")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
reader := bufio.NewReader(resp.Body)
for {
line, err := reader.ReadString('\n')
if len(line) > 0 {
line = strings.TrimSuffix(line, "\n")
line = strings.TrimSuffix(line, "\r")
}
if strings.HasPrefix(line, "data: ") {
fmt.Println(strings.TrimPrefix(line, "data: "))
}
if err != nil {
break
}
}
}
import java.net.http.*;
import java.net.URI;
HttpClient client = HttpClient.newHttpClient();
String json = """
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "A cute orange kitten sitting in a garden"
}
]
}
],
"generationConfig": {
"responseModalities": [
"TEXT",
"IMAGE"
],
"imageConfig": {
"aspectRatio": "16:9",
"imageSize": "2K"
}
}
}
""";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse"))
.header("Authorization", "Bearer sk-xxxxxxxxxx")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<java.util.stream.Stream<String>> response = client.send(
request,
HttpResponse.BodyHandlers.ofLines()
);
response.body()
.filter(line -> line.startsWith("data: "))
.forEach(line -> System.out.println(line.substring("data: ".length())));
require 'net/http'
require 'json'
uri = URI('https://api.mixroute.ai/v1/models/gemini-3.1-flash-image:streamGenerateContent?alt=sse')
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true
request = Net::HTTP::Post.new(uri)
request['Authorization'] = 'Bearer sk-xxxxxxxxxx'
request['Content-Type'] = 'application/json'
request.body = {
contents: [
{
role: 'user',
parts: [
{
text: 'A cute orange kitten sitting in a garden'
}
]
}
],
generationConfig: {
responseModalities: [
'TEXT',
'IMAGE'
],
imageConfig: {
aspectRatio: '16:9',
imageSize: '2K'
}
}
}.to_json
http.request(request) do |response|
buffer = ''
response.read_body do |chunk|
buffer << chunk
lines = buffer.split("\n")
buffer = lines.pop || ''
lines.each do |line|
line = line.delete_suffix("\r")
next unless line.start_with?('data: ')
puts JSON.parse(line.delete_prefix('data: '))
end
end
if buffer.start_with?('data: ')
puts JSON.parse(buffer.delete_prefix('data: '))
end
end
data: {"candidates":[{"content":{"role":"model","parts":[{"text":"Generating the image."}]}}],"modelVersion":"gemini-3.1-flash-image","responseId":"stream-response-id"}
data: {"candidates":[{"content":{"role":"model","parts":[{"inlineData":{"mimeType":"image/png","data":"iVBORw0KGgoAAAANSUhEUgAAAAQAAAAECAIA..."}}]},"finishReason":"STOP"}],"usageMetadata":{"promptTokenCount":13,"candidatesTokenCount":1680,"totalTokenCount":1693,"promptTokensDetails":[{"modality":"TEXT","tokenCount":13}],"candidatesTokensDetails":[{"modality":"IMAGE","tokenCount":1680}]},"modelVersion":"gemini-3.1-flash-image","responseId":"stream-response-id"}
⌘I