Transformer des images (img2img)

Transform reference images with a prompt (img2img)

curl --request POST \
  --url https://api.samsa.ai/public/v1/images/img2img \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "images": [
    {
      "image_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "url": "https://cdn.example.com/photo.png",
      "base64": "<string>",
      "mime_type": "image/png"
    }
  ],
  "prompt": "<string>",
  "engine": "nano_banana_pro",
  "aspect_ratio": "1:1",
  "resolution": "1K",
  "num_outputs": 1,
  "output_format": "png",
  "webhook_url": "https://example.com/webhooks/samsa"
}
'

import requests

url = "https://api.samsa.ai/public/v1/images/img2img"

payload = {
    "images": [
        {
            "image_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
            "url": "https://cdn.example.com/photo.png",
            "base64": "<string>",
            "mime_type": "image/png"
        }
    ],
    "prompt": "<string>",
    "engine": "nano_banana_pro",
    "aspect_ratio": "1:1",
    "resolution": "1K",
    "num_outputs": 1,
    "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({
    images: [
      {
        image_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
        url: 'https://cdn.example.com/photo.png',
        base64: '<string>',
        mime_type: 'image/png'
      }
    ],
    prompt: '<string>',
    engine: 'nano_banana_pro',
    aspect_ratio: '1:1',
    resolution: '1K',
    num_outputs: 1,
    output_format: 'png',
    webhook_url: 'https://example.com/webhooks/samsa'
  })
};

fetch('https://api.samsa.ai/public/v1/images/img2img', 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/img2img",
  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([
    'images' => [
        [
                'image_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
                'url' => 'https://cdn.example.com/photo.png',
                'base64' => '<string>',
                'mime_type' => 'image/png'
        ]
    ],
    'prompt' => '<string>',
    'engine' => 'nano_banana_pro',
    'aspect_ratio' => '1:1',
    'resolution' => '1K',
    'num_outputs' => 1,
    '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/img2img"

	payload := strings.NewReader("{\n  \"images\": [\n    {\n      \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n      \"url\": \"https://cdn.example.com/photo.png\",\n      \"base64\": \"<string>\",\n      \"mime_type\": \"image/png\"\n    }\n  ],\n  \"prompt\": \"<string>\",\n  \"engine\": \"nano_banana_pro\",\n  \"aspect_ratio\": \"1:1\",\n  \"resolution\": \"1K\",\n  \"num_outputs\": 1,\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/img2img")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"images\": [\n    {\n      \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n      \"url\": \"https://cdn.example.com/photo.png\",\n      \"base64\": \"<string>\",\n      \"mime_type\": \"image/png\"\n    }\n  ],\n  \"prompt\": \"<string>\",\n  \"engine\": \"nano_banana_pro\",\n  \"aspect_ratio\": \"1:1\",\n  \"resolution\": \"1K\",\n  \"num_outputs\": 1,\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/img2img")

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  \"images\": [\n    {\n      \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n      \"url\": \"https://cdn.example.com/photo.png\",\n      \"base64\": \"<string>\",\n      \"mime_type\": \"image/png\"\n    }\n  ],\n  \"prompt\": \"<string>\",\n  \"engine\": \"nano_banana_pro\",\n  \"aspect_ratio\": \"1:1\",\n  \"resolution\": \"1K\",\n  \"num_outputs\": 1,\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",
  "estimated_credits": 123
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

POST

images

img2img

Transform reference images with a prompt (img2img)

curl --request POST \
  --url https://api.samsa.ai/public/v1/images/img2img \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "images": [
    {
      "image_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "url": "https://cdn.example.com/photo.png",
      "base64": "<string>",
      "mime_type": "image/png"
    }
  ],
  "prompt": "<string>",
  "engine": "nano_banana_pro",
  "aspect_ratio": "1:1",
  "resolution": "1K",
  "num_outputs": 1,
  "output_format": "png",
  "webhook_url": "https://example.com/webhooks/samsa"
}
'

import requests

url = "https://api.samsa.ai/public/v1/images/img2img"

payload = {
    "images": [
        {
            "image_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
            "url": "https://cdn.example.com/photo.png",
            "base64": "<string>",
            "mime_type": "image/png"
        }
    ],
    "prompt": "<string>",
    "engine": "nano_banana_pro",
    "aspect_ratio": "1:1",
    "resolution": "1K",
    "num_outputs": 1,
    "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({
    images: [
      {
        image_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
        url: 'https://cdn.example.com/photo.png',
        base64: '<string>',
        mime_type: 'image/png'
      }
    ],
    prompt: '<string>',
    engine: 'nano_banana_pro',
    aspect_ratio: '1:1',
    resolution: '1K',
    num_outputs: 1,
    output_format: 'png',
    webhook_url: 'https://example.com/webhooks/samsa'
  })
};

fetch('https://api.samsa.ai/public/v1/images/img2img', 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/img2img",
  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([
    'images' => [
        [
                'image_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
                'url' => 'https://cdn.example.com/photo.png',
                'base64' => '<string>',
                'mime_type' => 'image/png'
        ]
    ],
    'prompt' => '<string>',
    'engine' => 'nano_banana_pro',
    'aspect_ratio' => '1:1',
    'resolution' => '1K',
    'num_outputs' => 1,
    '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/img2img"

	payload := strings.NewReader("{\n  \"images\": [\n    {\n      \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n      \"url\": \"https://cdn.example.com/photo.png\",\n      \"base64\": \"<string>\",\n      \"mime_type\": \"image/png\"\n    }\n  ],\n  \"prompt\": \"<string>\",\n  \"engine\": \"nano_banana_pro\",\n  \"aspect_ratio\": \"1:1\",\n  \"resolution\": \"1K\",\n  \"num_outputs\": 1,\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/img2img")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"images\": [\n    {\n      \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n      \"url\": \"https://cdn.example.com/photo.png\",\n      \"base64\": \"<string>\",\n      \"mime_type\": \"image/png\"\n    }\n  ],\n  \"prompt\": \"<string>\",\n  \"engine\": \"nano_banana_pro\",\n  \"aspect_ratio\": \"1:1\",\n  \"resolution\": \"1K\",\n  \"num_outputs\": 1,\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/img2img")

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  \"images\": [\n    {\n      \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n      \"url\": \"https://cdn.example.com/photo.png\",\n      \"base64\": \"<string>\",\n      \"mime_type\": \"image/png\"\n    }\n  ],\n  \"prompt\": \"<string>\",\n  \"engine\": \"nano_banana_pro\",\n  \"aspect_ratio\": \"1:1\",\n  \"resolution\": \"1K\",\n  \"num_outputs\": 1,\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",
  "estimated_credits": 123
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

Transforme 1 à 14 images sources avec un prompt. L’appel renvoie 202 Accepted avec un id de job ; interroge GET /images/img2img/{id} pour le résultat. Chaque entrée de images est un objet source prenant exactement un de image_id, url ou base64 + mime_type ; l’ordre est préservé. Requiert le scope images.edit.

Exemple : une source par mode

curl -X POST https://api.samsa.ai/public/v1/images/img2img \
  -H "Authorization: Bearer $SAMSA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "images": [{ "image_id": "123e4567-e89b-12d3-a456-426614174000" }],
    "prompt": "Place the product on a marble kitchen counter"
  }'

curl -X POST https://api.samsa.ai/public/v1/images/img2img \
  -H "Authorization: Bearer $SAMSA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "images": [{ "url": "https://cdn.example.com/photo.png" }],
    "prompt": "Turn this sketch into a photorealistic render",
    "resolution": "2K"
  }'

curl -X POST https://api.samsa.ai/public/v1/images/img2img \
  -H "Authorization: Bearer $SAMSA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "images": [{ "base64": "iVBORw0KGgoAAAANSUhEUg...", "mime_type": "image/png" }],
    "prompt": "Apply a warm sunset color grade",
    "num_outputs": 2
  }'

Exemple : mélanger plusieurs sources

Passe plusieurs sources — mélanger les modes est autorisé — et règle le moteur, le ratio et la résolution :

Body

{
  "images": [
    { "image_id": "123e4567-e89b-12d3-a456-426614174000" },
    { "url": "https://cdn.example.com/reference.jpg" },
    { "base64": "iVBORw0KGgoAAAANSUhEUg...", "mime_type": "image/webp" }
  ],
  "prompt": "Blend the subject into the reference scene",
  "engine": "nano_banana_2",
  "aspect_ratio": "16:9",
  "resolution": "4K",
  "webhook_url": "https://example.com/webhooks/samsa"
}

La réponse 202 est le handle de job asynchrone :

202 Accepted

{
  "id": "b3f1c2d4-5e6f-4a7b-8c9d-0e1f2a3b4c5d",
  "status": "pending",
  "estimated_credits": 20
}

images contient 1 à 14 sources ; chacune est exactement un de image_id, d’une url https ou de base64 + mime_type. prompt est requis. engine est nano_banana_pro (défaut) ou nano_banana_2 ; un moteur inconnu renvoie 422. aspect_ratio est validé par rapport à la liste supportée du moteur (1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 ; nano_banana_2 aussi 4:1, 1:4, 8:1, 1:8) ; omis, il préserve la forme de la source. resolution est 1K (défaut), 2K ou 4K. num_outputs (1 à 4) vaut 1 par défaut et chaque sortie (output) est facturée. output_format est png uniquement en v1.

Credits

Chaque sortie (output) coûte 5 credits en 1K, en fonction de la résolution (1K ×1, 2K ×2, 4K ×4) et multiplié par num_outputs. Voir Tarifs.

Erreurs

Statut	Code	Quand
`402`	`insufficient_credits` / `insufficient_team_credits` / `insufficient_unallocated_credits`	Le solde que ce credential peut dépenser est en dessous du coût du job. Les organisations avec au moins une équipe active reçoivent les codes liés aux équipes à la place de `insufficient_credits` (sauf les organisations système exemptées du budgeting par équipe). Une défaillance opérationnelle dans la déduction elle-même peut néanmoins renvoyer le générique `insufficient_credits`, quel que soit le régime.
`402`	`subscription_inactive`	L’organisation n’a aucun abonnement utilisable.
`403`	`missing_scope`	La clé n’a pas le scope `images.edit`.
`404`	`not_found`	Un `image_id` source est inconnu ou n’appartient pas au créateur de la clé — une image créée par un autre membre de ton organisation renvoie aussi un `404`.
`422`	`validation_error`	Zéro/plusieurs modes source, prompt invalide, moteur inconnu ou ratio non supporté.
`429`	`rate_limited` / `too_many_active_jobs`	Fenêtre de débit par clé ou plafond de concurrence par organisation dépassé.

Autorisations

Authorization

string

header

requis

Organization API key as a bearer token: Authorization: Bearer samsa_sk_....

Corps

application/json

POST /images/img2img body (SAM-815 / S8.3 — ADR §8, §10).

Transform 1-14 source images with a prompt (the app's Edit-tab img2img flow). Each source is exactly one of image_id (an image in your organization's context), an https url, or base64+mime_type. engine is a public-safe alias of the internal edit model (nano_banana_pro default, nano_banana_2); num_outputs defaults to 1 (the app default is 4). Each output is billed at 5 x resolution_multiplier credits (1K:1x, 2K:2x, 4K:4x).

images

PublicImageEditSource · object[]

requis

1-14 source images; each exactly one of image_id, an https url, or base64+mime_type. Order is preserved.

Required array length: 1 - 14 elements

Show child attributes

prompt

string

requis

Text prompt describing the transformation. Runs the same validation as the app (rejects empty / malformed / policy-violating prompts with a 422).

Minimum string length: 1

Exemple:

"Combine the products into one cohesive lifestyle scene"

engine

string | null

Img2img engine — one of nano_banana_pro (default) or nano_banana_2. Omit to use the default. Unknown engines return 422.

Exemple:

"nano_banana_pro"

aspect_ratio

string | null

Optional aspect ratio for the generated image(s), validated against the engine's supported list (1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9; nano_banana_2 additionally 4:1, 1:4, 8:1, 1:8). Omitted = the engine preserves the source shape.

Exemple:

"1:1"

resolution

string

défaut:1K

Output resolution — 1K (default), 2K, or 4K. Credits scale 1K:1x, 2K:2x, 4K:4x per output.

Exemple:

"1K"

num_outputs

integer

défaut:1

Number of images to generate (1-4). Defaults to 1 (the app default is 4); each output is billed.

Plage requise: 1 <= x <= 4

Exemple:

1

output_format

enum<string>

défaut:png

Encoding of the returned images. v1 supports png only.

Options disponibles:

png

Exemple:

"png"

webhook_url

string | null

Optional https webhook notified once on terminal status (signed per the webhook signature scheme; see the webhooks docs).

Exemple:

"https://example.com/webhooks/samsa"

Réponse

Successful Response

Shared 202 body for the transform-op submits (SAM-813 / S8 wave).

Every POST /images/<op> returns the async job handle {id, status, estimated_credits}. The initial status is pending (the job is queued), with ONE exception: background-removals and vectorizations answer an owned-image_id cache hit (a ready result already exists for that image) with status: "completed" and estimated_credits: 0 — no new job is queued, the completed webhook event is emitted immediately for a supplied webhook_url, and the result is already available from the op's GET .../{id} endpoint. The other transform ops (img2img, variations, resizes, upscales) always start pending.

string<uuid>

requis

The job id — poll the op's GET .../{id} endpoint.

status

enum<string>

requis

Initial status: pending (job queued — enter the polling flow), or completed with estimated_credits: 0 when background-removals / vectorizations serve an owned-image cache hit (the result is immediately available).

Options disponibles:

pending,

processing,

completed,

failed,

cancelled

Exemple:

"pending"

estimated_credits

integer

requis

Credits this job is expected to cost — 0 on a cache-hit completed response.

Exemple:

5

Vue d'ensemble

Points de terminaison

Transformer des images (img2img)

Exemple : une source par mode

Exemple : mélanger plusieurs sources

Credits

Erreurs

Autorisations

Corps

Réponse

​Exemple : une source par mode

​Exemple : mélanger plusieurs sources

​Credits

​Erreurs

Autorisations

Corps

Réponse

Exemple : une source par mode

Exemple : mélanger plusieurs sources

Credits

Erreurs