الصور

تكبير الصور وتحسينها

Upscale an image to a higher resolution. The image can be provided either as a multipart form-data file upload or as a base64-encoded string in a JSON request.

Authentication: This endpoint accepts either a Bearer API key or a SIGN-IN-WITH-X header for x402 wallet-based authentication. The legacy X-Sign-In-With-X header is also accepted during migration. When using x402, a 402 Payment Required response indicates insufficient balance and includes top-up instructions.

POST

image

upscale

/api/v1/image/upscale

curl --request POST \
  --url https://api.venice.ai/api/v1/image/upscale \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "creativity": 0.01,
  "image": "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...",
  "scale": 2
}
'

import requests

url = "https://api.venice.ai/api/v1/image/upscale"

payload = {
    "creativity": 0.01,
    "image": "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...",
    "scale": 2
}
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({
    creativity: 0.01,
    image: 'iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...',
    scale: 2
  })
};

fetch('https://api.venice.ai/api/v1/image/upscale', 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.venice.ai/api/v1/image/upscale",
  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([
    'creativity' => 0.01,
    'image' => 'iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...',
    'scale' => 2
  ]),
  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.venice.ai/api/v1/image/upscale"

	payload := strings.NewReader("{\n  \"creativity\": 0.01,\n  \"image\": \"iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...\",\n  \"scale\": 2\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.venice.ai/api/v1/image/upscale")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"creativity\": 0.01,\n  \"image\": \"iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...\",\n  \"scale\": 2\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.venice.ai/api/v1/image/upscale")

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  \"creativity\": 0.01,\n  \"image\": \"iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...\",\n  \"scale\": 2\n}"

response = http.request(request)
puts response.read_body

"<string>"

{
  "error": "<string>",
  "details": {
    "_errors": [],
    "field": {
      "_errors": [
        "Field is required"
      ]
    }
  }
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

مجموعة Postman

للمزيد من الأمثلة، يرجى مراجعة مجموعة Postman هذه.

التفويضات

Authorization

string

header

مطلوب

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

الجسم

Upscale an image to a higher resolution.

image

مطلوب

The image to upscale. Can be either a file upload or a base64-encoded string. Image dimensions must be at least 65536 pixels and final dimensions after scaling must not exceed 16777216 pixels. File size must be less than 25MB.

creativity

number | null

افتراضي:0.01

How much detail and texture the upscaler adds. Higher values add more; lower values stay closer to the source. Clamped to the 0–0.02 range.

مثال:

0.01

scale

number

افتراضي:2

The scale factor for upscaling the image. Must be either 2 or 4. A scale of 4 with large images will result in the scale being dynamically reduced to ensure the final image stays within the maximum size limits.

النطاق المطلوب: 2 <= x <= 4

مثال:

2

الاستجابة

The response is of type file.

توليد الصور

تحرير (المعروف بـ Inpaint)

⌘I

/api/v1/image/upscale

curl --request POST \
  --url https://api.venice.ai/api/v1/image/upscale \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "creativity": 0.01,
  "image": "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...",
  "scale": 2
}
'

import requests

url = "https://api.venice.ai/api/v1/image/upscale"

payload = {
    "creativity": 0.01,
    "image": "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...",
    "scale": 2
}
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({
    creativity: 0.01,
    image: 'iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...',
    scale: 2
  })
};

fetch('https://api.venice.ai/api/v1/image/upscale', 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.venice.ai/api/v1/image/upscale",
  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([
    'creativity' => 0.01,
    'image' => 'iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...',
    'scale' => 2
  ]),
  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.venice.ai/api/v1/image/upscale"

	payload := strings.NewReader("{\n  \"creativity\": 0.01,\n  \"image\": \"iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...\",\n  \"scale\": 2\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.venice.ai/api/v1/image/upscale")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"creativity\": 0.01,\n  \"image\": \"iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...\",\n  \"scale\": 2\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.venice.ai/api/v1/image/upscale")

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  \"creativity\": 0.01,\n  \"image\": \"iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAAIGNIUk0A...\",\n  \"scale\": 2\n}"

response = http.request(request)
puts response.read_body

"<string>"

{
  "error": "<string>",
  "details": {
    "_errors": [],
    "field": {
      "_errors": [
        "Field is required"
      ]
    }
  }
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

​مجموعة Postman

التفويضات

الجسم

الاستجابة

مجموعة Postman