Generate images from a prompt (and optional trained models)
curl --request POST \
--url https://api.samsa.ai/public/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "A minimalist product shot of a ceramic mug on linen, soft daylight",
"style_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"object_ids": [
"3c90c3cc-0d44-4b50-8888-8dd25736052a"
],
"person_ids": [
"3c90c3cc-0d44-4b50-8888-8dd25736052a"
],
"setting_ids": [
"3c90c3cc-0d44-4b50-8888-8dd25736052a"
],
"color_palette_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"engine": "nano_banana_pro",
"num_outputs": 1,
"aspect_ratio": "1:1",
"resolution": "1K",
"output_format": "png",
"webhook_url": "https://example.com/webhooks/samsa"
}
'import requests
url = "https://api.samsa.ai/public/v1/images/generations"
payload = {
"prompt": "A minimalist product shot of a ceramic mug on linen, soft daylight",
"style_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"object_ids": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
"person_ids": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
"setting_ids": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
"color_palette_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"engine": "nano_banana_pro",
"num_outputs": 1,
"aspect_ratio": "1:1",
"resolution": "1K",
"output_format": "png",
"webhook_url": "https://example.com/webhooks/samsa"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: 'A minimalist product shot of a ceramic mug on linen, soft daylight',
style_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
object_ids: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
person_ids: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
setting_ids: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
color_palette_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
engine: 'nano_banana_pro',
num_outputs: 1,
aspect_ratio: '1:1',
resolution: '1K',
output_format: 'png',
webhook_url: 'https://example.com/webhooks/samsa'
})
};
fetch('https://api.samsa.ai/public/v1/images/generations', 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://api.samsa.ai/public/v1/images/generations",
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' => 'A minimalist product shot of a ceramic mug on linen, soft daylight',
'style_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'object_ids' => [
'3c90c3cc-0d44-4b50-8888-8dd25736052a'
],
'person_ids' => [
'3c90c3cc-0d44-4b50-8888-8dd25736052a'
],
'setting_ids' => [
'3c90c3cc-0d44-4b50-8888-8dd25736052a'
],
'color_palette_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'engine' => 'nano_banana_pro',
'num_outputs' => 1,
'aspect_ratio' => '1:1',
'resolution' => '1K',
'output_format' => 'png',
'webhook_url' => 'https://example.com/webhooks/samsa'
]),
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;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.samsa.ai/public/v1/images/generations"
payload := strings.NewReader("{\n \"prompt\": \"A minimalist product shot of a ceramic mug on linen, soft daylight\",\n \"style_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"object_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"person_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"setting_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"color_palette_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"engine\": \"nano_banana_pro\",\n \"num_outputs\": 1,\n \"aspect_ratio\": \"1:1\",\n \"resolution\": \"1K\",\n \"output_format\": \"png\",\n \"webhook_url\": \"https://example.com/webhooks/samsa\"\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.samsa.ai/public/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"A minimalist product shot of a ceramic mug on linen, soft daylight\",\n \"style_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"object_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"person_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"setting_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"color_palette_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"engine\": \"nano_banana_pro\",\n \"num_outputs\": 1,\n \"aspect_ratio\": \"1:1\",\n \"resolution\": \"1K\",\n \"output_format\": \"png\",\n \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.samsa.ai/public/v1/images/generations")
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\": \"A minimalist product shot of a ceramic mug on linen, soft daylight\",\n \"style_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"object_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"person_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"setting_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"color_palette_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"engine\": \"nano_banana_pro\",\n \"num_outputs\": 1,\n \"aspect_ratio\": \"1:1\",\n \"resolution\": \"1K\",\n \"output_format\": \"png\",\n \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}"
response = http.request(request)
puts response.read_body{
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"status": "pending",
"estimated_credits": 5
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}Bildgenerierung
Bilder generieren
Reiche einen Bildgenerierungs-Job ein — Prompt plus optionale trainierte Modelle — und erhalte eine Job-id zurück.
POST
/
images
/
generations
Generate images from a prompt (and optional trained models)
curl --request POST \
--url https://api.samsa.ai/public/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "A minimalist product shot of a ceramic mug on linen, soft daylight",
"style_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"object_ids": [
"3c90c3cc-0d44-4b50-8888-8dd25736052a"
],
"person_ids": [
"3c90c3cc-0d44-4b50-8888-8dd25736052a"
],
"setting_ids": [
"3c90c3cc-0d44-4b50-8888-8dd25736052a"
],
"color_palette_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"engine": "nano_banana_pro",
"num_outputs": 1,
"aspect_ratio": "1:1",
"resolution": "1K",
"output_format": "png",
"webhook_url": "https://example.com/webhooks/samsa"
}
'import requests
url = "https://api.samsa.ai/public/v1/images/generations"
payload = {
"prompt": "A minimalist product shot of a ceramic mug on linen, soft daylight",
"style_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"object_ids": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
"person_ids": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
"setting_ids": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
"color_palette_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"engine": "nano_banana_pro",
"num_outputs": 1,
"aspect_ratio": "1:1",
"resolution": "1K",
"output_format": "png",
"webhook_url": "https://example.com/webhooks/samsa"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: 'A minimalist product shot of a ceramic mug on linen, soft daylight',
style_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
object_ids: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
person_ids: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
setting_ids: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
color_palette_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
engine: 'nano_banana_pro',
num_outputs: 1,
aspect_ratio: '1:1',
resolution: '1K',
output_format: 'png',
webhook_url: 'https://example.com/webhooks/samsa'
})
};
fetch('https://api.samsa.ai/public/v1/images/generations', 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://api.samsa.ai/public/v1/images/generations",
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' => 'A minimalist product shot of a ceramic mug on linen, soft daylight',
'style_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'object_ids' => [
'3c90c3cc-0d44-4b50-8888-8dd25736052a'
],
'person_ids' => [
'3c90c3cc-0d44-4b50-8888-8dd25736052a'
],
'setting_ids' => [
'3c90c3cc-0d44-4b50-8888-8dd25736052a'
],
'color_palette_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'engine' => 'nano_banana_pro',
'num_outputs' => 1,
'aspect_ratio' => '1:1',
'resolution' => '1K',
'output_format' => 'png',
'webhook_url' => 'https://example.com/webhooks/samsa'
]),
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;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.samsa.ai/public/v1/images/generations"
payload := strings.NewReader("{\n \"prompt\": \"A minimalist product shot of a ceramic mug on linen, soft daylight\",\n \"style_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"object_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"person_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"setting_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"color_palette_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"engine\": \"nano_banana_pro\",\n \"num_outputs\": 1,\n \"aspect_ratio\": \"1:1\",\n \"resolution\": \"1K\",\n \"output_format\": \"png\",\n \"webhook_url\": \"https://example.com/webhooks/samsa\"\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.samsa.ai/public/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"A minimalist product shot of a ceramic mug on linen, soft daylight\",\n \"style_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"object_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"person_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"setting_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"color_palette_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"engine\": \"nano_banana_pro\",\n \"num_outputs\": 1,\n \"aspect_ratio\": \"1:1\",\n \"resolution\": \"1K\",\n \"output_format\": \"png\",\n \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.samsa.ai/public/v1/images/generations")
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\": \"A minimalist product shot of a ceramic mug on linen, soft daylight\",\n \"style_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"object_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"person_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"setting_ids\": [\n \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n ],\n \"color_palette_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"engine\": \"nano_banana_pro\",\n \"num_outputs\": 1,\n \"aspect_ratio\": \"1:1\",\n \"resolution\": \"1K\",\n \"output_format\": \"png\",\n \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}"
response = http.request(request)
puts response.read_body{
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"status": "pending",
"estimated_credits": 5
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}{
"error": {
"type": "authentication_error",
"code": "invalid_api_key",
"message": "The provided API key is invalid, expired, or revoked.",
"request_id": "8f14e45fceea167a5a36dedd4bea2543",
"param": "aspect_ratio"
}
}Sende einen Prompt, um ein bis vier Bilder zu generieren. Der Aufruf gibt
202 Accepted mit einer Job-id zurück; frage
GET /images/generations/{id} nach dem
Ergebnis ab. Kombiniere die trainierten Modelle deiner Organisation, indem du ihre
ids oder Namen übergibst — style_id, object_ids, person_ids, setting_ids —
plus eine color_palette_id. Jede Referenz akzeptiert einen Namen oder eine id,
die zu einem für dich sichtbaren Modell oder einer für dich sichtbaren Palette
aufgelöst wird.
Beispiel: mehrere trainierte Modelle komponieren
Übergib einstyle-Modell, ein oder mehrere person- und setting-Modelle sowie
eine color palette gemeinsam in einer Anfrage. Jede Modellreferenz — per id oder
Name — muss auf ein für dich sichtbares completed-Modell aufgelöst werden.
curl -X POST https://api.samsa.ai/public/v1/images/generations \
-H "Authorization: Bearer $SAMSA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Our founder presenting on stage at the product launch, cinematic lighting",
"style_id": "2b9d1f7a-3c4e-4a5b-9c8d-0e1f2a3b4c5d",
"person_ids": ["c1a2b3d4-e5f6-4a7b-8c9d-0e1f2a3b4c5d"],
"setting_ids": ["a9b8c7d6-e5f4-4a3b-2c1d-0e1f2a3b4c5d"],
"color_palette_id": "7f6e5d4c-3b2a-4c1d-9e8f-0a1b2c3d4e5f",
"engine": "nano_banana_pro",
"aspect_ratio": "16:9",
"resolution": "2K",
"num_outputs": 2
}'
{
"prompt": "Our founder presenting on stage at the product launch, cinematic lighting",
"style_id": "2b9d1f7a-3c4e-4a5b-9c8d-0e1f2a3b4c5d",
"person_ids": ["c1a2b3d4-e5f6-4a7b-8c9d-0e1f2a3b4c5d"],
"setting_ids": ["a9b8c7d6-e5f4-4a3b-2c1d-0e1f2a3b4c5d"],
"color_palette_id": "7f6e5d4c-3b2a-4c1d-9e8f-0a1b2c3d4e5f",
"engine": "nano_banana_pro",
"aspect_ratio": "16:9",
"resolution": "2K",
"num_outputs": 2
}
object_ids, person_ids und setting_ids sind Arrays; style_id und
color_palette_id nehmen einen einzelnen Wert (einen Namen oder eine id).
num_outputs (1–4) ist standardmäßig 1 und jedes Ergebnis (output) wird
abgerechnet. Lass engine weg, um die Standard-Engine nano_banana_pro zu
verwenden. aspect_ratio akzeptiert 1:1 (Standard), 2:3, 3:2, 3:4,
4:3, 4:5, 5:4, 9:16, 16:9, 21:9, 1:4, 4:1, 1:8 und 8:1; ein
nicht unterstütztes Seitenverhältnis gibt 422 zurück, bevor Credits berechnet
werden.Autorisierungen
Organization API key as a bearer token: Authorization: Bearer samsa_sk_....
Body
application/json
POST /images/generations body (ADR §8, §10).
Trained-model refs (style_id, object_ids, person_ids, setting_ids) and the
color_palette_id color-palette ref combine on the Gemini path — each accepts a NAME
or its UUID id, resolved within your visible set (a model/palette you own, including
private ones, or a non-private one shared within your organization); setting_ids
maps to the internal scene_ids (ADR §8.2). engine is a public-safe subset of the
image engines (ADR §8.3). Note num_outputs defaults to 1 for API
ergonomics — the internal app default is 4.
Text prompt. Runs the same validation as the app (rejects empty / malformed / policy-violating prompts with a 422).
Minimum string length:
1Beispiel:
"A minimalist product shot of a ceramic mug on linen, soft daylight"
A style model NAME or its UUID id (from list_models), resolved within your visible set — a model you own (including your own private models) or a non-private one shared with your organization. A name matching more than one visible model is rejected — pass the id. Must be completed.
object models to compose in — each a model NAME or its UUID id (from list_models), resolved within your visible set (a model you own, including private, or a non-private one your organization shares). A name matching more than one visible model is rejected — pass the id.
person models to compose in — each a model NAME or its UUID id (from list_models), resolved within your visible set (a model you own, including private, or a non-private one your organization shares). A name matching more than one visible model is rejected — pass the id.
setting models to compose in — each a model NAME or its UUID id (from list_models), resolved within your visible set (a model you own, including private, or a non-private one your organization shares). A name matching more than one visible model is rejected — pass the id. Maps to internal scenes.
A color palette NAME or its UUID id, resolved within your visible set — a palette you created (including private ones) or a non-private palette shared with your organization. A name matching more than one visible palette is rejected — pass the id.
Generation engine — one of nano_banana_pro (default) or nano_banana_2. Omit to use the default. Unknown engines return 422.
Beispiel:
"nano_banana_pro"
Number of images to generate (1-4). Defaults to 1 (the app default is 4); each output is billed.
Erforderlicher Bereich:
1 <= x <= 4Beispiel:
1
Aspect ratio for the generated image(s). One of 1:1 (default), 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9, 1:4, 4:1, 1:8, 8:1. Unsupported ratios return 422 before any credits are charged.
Beispiel:
"1:1"
Output resolution — 1K, 2K, or 4K. Credits scale 1K:1x, 2K:2x, 4K:4x per output.
Beispiel:
"1K"
Encoding of the returned images. v1 supports png only.
Verfügbare Optionen:
png Beispiel:
"png"
Optional https webhook notified once on terminal status (signed per the webhook signature scheme; see the webhooks docs).
Beispiel:
"https://example.com/webhooks/samsa"
Antwort
Successful Response
202 body for POST /images/generations (ADR §7.1).
The image job id — poll GET /images/generations/{id}.
Initial status: always pending at submit.
Verfügbare Optionen:
pending, processing, completed, failed, cancelled Beispiel:
"pending"
Credits this job is expected to cost (base 5 x num_outputs x resolution multiplier).
Beispiel:
5