Interfaz mj-v8.2-upload-paint
curl --request POST \
--url https://api.evolink.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "mj-v8.2-upload-paint",
"prompt": "Beautiful mountain scenery background",
"image_urls": [
"https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg"
],
"model_params": {
"mask": {
"areas": [
{
"width": 1200,
"height": 630,
"points": [
100,
100,
400,
100,
400,
400,
100,
400
]
}
]
},
"canvas": {
"width": 1200,
"height": 630
},
"img_pos": {
"width": 1200,
"height": 630,
"x": 0,
"y": 0
},
"speed": "fast"
}
}
'import requests
url = "https://api.evolink.ai/v1/images/generations"
payload = {
"model": "mj-v8.2-upload-paint",
"prompt": "Beautiful mountain scenery background",
"image_urls": ["https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg"],
"model_params": {
"mask": { "areas": [
{
"width": 1200,
"height": 630,
"points": [100, 100, 400, 100, 400, 400, 100, 400]
}
] },
"canvas": {
"width": 1200,
"height": 630
},
"img_pos": {
"width": 1200,
"height": 630,
"x": 0,
"y": 0
},
"speed": "fast"
}
}
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({
model: 'mj-v8.2-upload-paint',
prompt: 'Beautiful mountain scenery background',
image_urls: ['https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg'],
model_params: {
mask: {
areas: [{width: 1200, height: 630, points: [100, 100, 400, 100, 400, 400, 100, 400]}]
},
canvas: {width: 1200, height: 630},
img_pos: {width: 1200, height: 630, x: 0, y: 0},
speed: 'fast'
}
})
};
fetch('https://api.evolink.ai/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.evolink.ai/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([
'model' => 'mj-v8.2-upload-paint',
'prompt' => 'Beautiful mountain scenery background',
'image_urls' => [
'https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg'
],
'model_params' => [
'mask' => [
'areas' => [
[
'width' => 1200,
'height' => 630,
'points' => [
100,
100,
400,
100,
400,
400,
100,
400
]
]
]
],
'canvas' => [
'width' => 1200,
'height' => 630
],
'img_pos' => [
'width' => 1200,
'height' => 630,
'x' => 0,
'y' => 0
],
'speed' => 'fast'
]
]),
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.evolink.ai/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"mj-v8.2-upload-paint\",\n \"prompt\": \"Beautiful mountain scenery background\",\n \"image_urls\": [\n \"https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg\"\n ],\n \"model_params\": {\n \"mask\": {\n \"areas\": [\n {\n \"width\": 1200,\n \"height\": 630,\n \"points\": [\n 100,\n 100,\n 400,\n 100,\n 400,\n 400,\n 100,\n 400\n ]\n }\n ]\n },\n \"canvas\": {\n \"width\": 1200,\n \"height\": 630\n },\n \"img_pos\": {\n \"width\": 1200,\n \"height\": 630,\n \"x\": 0,\n \"y\": 0\n },\n \"speed\": \"fast\"\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.evolink.ai/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"mj-v8.2-upload-paint\",\n \"prompt\": \"Beautiful mountain scenery background\",\n \"image_urls\": [\n \"https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg\"\n ],\n \"model_params\": {\n \"mask\": {\n \"areas\": [\n {\n \"width\": 1200,\n \"height\": 630,\n \"points\": [\n 100,\n 100,\n 400,\n 100,\n 400,\n 400,\n 100,\n 400\n ]\n }\n ]\n },\n \"canvas\": {\n \"width\": 1200,\n \"height\": 630\n },\n \"img_pos\": {\n \"width\": 1200,\n \"height\": 630,\n \"x\": 0,\n \"y\": 0\n },\n \"speed\": \"fast\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.ai/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 \"model\": \"mj-v8.2-upload-paint\",\n \"prompt\": \"Beautiful mountain scenery background\",\n \"image_urls\": [\n \"https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg\"\n ],\n \"model_params\": {\n \"mask\": {\n \"areas\": [\n {\n \"width\": 1200,\n \"height\": 630,\n \"points\": [\n 100,\n 100,\n 400,\n 100,\n 400,\n 400,\n 100,\n 400\n ]\n }\n ]\n },\n \"canvas\": {\n \"width\": 1200,\n \"height\": 630\n },\n \"img_pos\": {\n \"width\": 1200,\n \"height\": 630,\n \"x\": 0,\n \"y\": 0\n },\n \"speed\": \"fast\"\n }\n}"
response = http.request(request)
puts response.read_body{
"created": 1757165031,
"id": "task-unified-1757165031-mjv82",
"model": "<string>",
"object": "image.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"estimated_time": 45
},
"type": "image",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 1.8,
"user_group": "default"
}
}{
"error": {
"code": "invalid_request",
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": "unauthorized",
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": "insufficient_quota",
"message": "Insufficient quota. Please top up your account.",
"type": "insufficient_quota"
}
}{
"error": {
"code": "model_access_denied",
"message": "Token does not have access to model: mj-v8.2-upload-paint",
"type": "invalid_request_error"
}
}{
"error": {
"code": "rate_limit_exceeded",
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": "internal_error",
"message": "Internal server error",
"type": "api_error"
}
}Midjourney V8.2
Midjourney V8.2 Edición avanzada
- Cargue imágenes para edición avanzada en lienzo, soporta especificación de área de máscara y ajuste de posición
- Similar a mj-v8.2-edit, pero no depende de tareas existentes, pasa imágenes directamente
- El resultado de una tarea de upload-paint no puede usarse como origen (
task_id) de variation, remix o edit; el proveedor solo permite hacerle upscale, algo que esta ruta no expone - Modo de procesamiento asíncrono, use el ID de la tarea devuelto para consultar
POST
/
v1
/
images
/
generations
Interfaz mj-v8.2-upload-paint
curl --request POST \
--url https://api.evolink.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "mj-v8.2-upload-paint",
"prompt": "Beautiful mountain scenery background",
"image_urls": [
"https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg"
],
"model_params": {
"mask": {
"areas": [
{
"width": 1200,
"height": 630,
"points": [
100,
100,
400,
100,
400,
400,
100,
400
]
}
]
},
"canvas": {
"width": 1200,
"height": 630
},
"img_pos": {
"width": 1200,
"height": 630,
"x": 0,
"y": 0
},
"speed": "fast"
}
}
'import requests
url = "https://api.evolink.ai/v1/images/generations"
payload = {
"model": "mj-v8.2-upload-paint",
"prompt": "Beautiful mountain scenery background",
"image_urls": ["https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg"],
"model_params": {
"mask": { "areas": [
{
"width": 1200,
"height": 630,
"points": [100, 100, 400, 100, 400, 400, 100, 400]
}
] },
"canvas": {
"width": 1200,
"height": 630
},
"img_pos": {
"width": 1200,
"height": 630,
"x": 0,
"y": 0
},
"speed": "fast"
}
}
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({
model: 'mj-v8.2-upload-paint',
prompt: 'Beautiful mountain scenery background',
image_urls: ['https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg'],
model_params: {
mask: {
areas: [{width: 1200, height: 630, points: [100, 100, 400, 100, 400, 400, 100, 400]}]
},
canvas: {width: 1200, height: 630},
img_pos: {width: 1200, height: 630, x: 0, y: 0},
speed: 'fast'
}
})
};
fetch('https://api.evolink.ai/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.evolink.ai/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([
'model' => 'mj-v8.2-upload-paint',
'prompt' => 'Beautiful mountain scenery background',
'image_urls' => [
'https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg'
],
'model_params' => [
'mask' => [
'areas' => [
[
'width' => 1200,
'height' => 630,
'points' => [
100,
100,
400,
100,
400,
400,
100,
400
]
]
]
],
'canvas' => [
'width' => 1200,
'height' => 630
],
'img_pos' => [
'width' => 1200,
'height' => 630,
'x' => 0,
'y' => 0
],
'speed' => 'fast'
]
]),
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.evolink.ai/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"mj-v8.2-upload-paint\",\n \"prompt\": \"Beautiful mountain scenery background\",\n \"image_urls\": [\n \"https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg\"\n ],\n \"model_params\": {\n \"mask\": {\n \"areas\": [\n {\n \"width\": 1200,\n \"height\": 630,\n \"points\": [\n 100,\n 100,\n 400,\n 100,\n 400,\n 400,\n 100,\n 400\n ]\n }\n ]\n },\n \"canvas\": {\n \"width\": 1200,\n \"height\": 630\n },\n \"img_pos\": {\n \"width\": 1200,\n \"height\": 630,\n \"x\": 0,\n \"y\": 0\n },\n \"speed\": \"fast\"\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.evolink.ai/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"mj-v8.2-upload-paint\",\n \"prompt\": \"Beautiful mountain scenery background\",\n \"image_urls\": [\n \"https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg\"\n ],\n \"model_params\": {\n \"mask\": {\n \"areas\": [\n {\n \"width\": 1200,\n \"height\": 630,\n \"points\": [\n 100,\n 100,\n 400,\n 100,\n 400,\n 400,\n 100,\n 400\n ]\n }\n ]\n },\n \"canvas\": {\n \"width\": 1200,\n \"height\": 630\n },\n \"img_pos\": {\n \"width\": 1200,\n \"height\": 630,\n \"x\": 0,\n \"y\": 0\n },\n \"speed\": \"fast\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.ai/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 \"model\": \"mj-v8.2-upload-paint\",\n \"prompt\": \"Beautiful mountain scenery background\",\n \"image_urls\": [\n \"https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg\"\n ],\n \"model_params\": {\n \"mask\": {\n \"areas\": [\n {\n \"width\": 1200,\n \"height\": 630,\n \"points\": [\n 100,\n 100,\n 400,\n 100,\n 400,\n 400,\n 100,\n 400\n ]\n }\n ]\n },\n \"canvas\": {\n \"width\": 1200,\n \"height\": 630\n },\n \"img_pos\": {\n \"width\": 1200,\n \"height\": 630,\n \"x\": 0,\n \"y\": 0\n },\n \"speed\": \"fast\"\n }\n}"
response = http.request(request)
puts response.read_body{
"created": 1757165031,
"id": "task-unified-1757165031-mjv82",
"model": "<string>",
"object": "image.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"estimated_time": 45
},
"type": "image",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 1.8,
"user_group": "default"
}
}{
"error": {
"code": "invalid_request",
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": "unauthorized",
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": "insufficient_quota",
"message": "Insufficient quota. Please top up your account.",
"type": "insufficient_quota"
}
}{
"error": {
"code": "model_access_denied",
"message": "Token does not have access to model: mj-v8.2-upload-paint",
"type": "invalid_request_error"
}
}{
"error": {
"code": "rate_limit_exceeded",
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": "internal_error",
"message": "Internal server error",
"type": "api_error"
}
}Midjourney cuenta con un sistema de moderación de contenido integrado. Cada imagen se modera por separado: las imágenes filtradas no aparecen en los resultados y el resto se entrega con normalidad, por lo que puedes recibir menos imágenes de lo habitual. Si al menos una imagen supera la revisión, la tarea queda en
completed y se factura con normalidad; si se filtran todas las imágenes, la tarea termina en failed y los créditos reservados se reembolsan íntegramente. Asegúrate de que tus prompts e imágenes de referencia cumplan las directrices de contenido.Autorizaciones
Todas las interfaces requieren autenticación con Bearer Token
Obtener API Key:
Visite la página de gestión de API Key para obtener su API Key
Agregue lo siguiente al encabezado de la solicitud:
Authorization: Bearer YOUR_API_KEY
Cuerpo
application/json
Nombre del modelo
Opciones disponibles:
mj-v8.2-upload-paint Ejemplo:
"mj-v8.2-upload-paint"
Prompt de edición
Maximum string length:
8100Ejemplo:
"Beautiful mountain scenery background"
URL de imagen de entrada (se usa la primera). URL HTTP(S) pública de como máximo 1024 caracteres; formatos .png, .gif, .webp, .jpg, .jpeg
Maximum array length:
1Ejemplo:
[
"https://cdn.evolink.ai/model-cards/midjourney-v8-2/midjourney-v8-2-og-v1.jpg"
]
Parámetros de edición avanzada
Show child attributes
Show child attributes
Dirección de callback HTTPS después de completar la tarea
Momento del callback:
- Se activa cuando la tarea se completa (completed) o falla (failed)
- Se envía después de confirmar la facturación
Restricciones de seguridad:
- Solo se admite el protocolo HTTPS
- Se prohíbe el callback a direcciones IP de red interna (127.0.0.1, 10.x.x.x, 172.16-31.x.x, 192.168.x.x, etc.)
- La longitud de la URL no debe exceder
2048caracteres
Mecanismo de callback:
- Tiempo de espera:
10segundos - Máximo
3reintentos después de fallar (a los1s/2s/4s respectivamente) - El formato de respuesta del callback es consistente con el de la interfaz de consulta de tareas
- Si la dirección de callback devuelve un código 2xx se considera exitoso, otros códigos activan reintentos
Ejemplo:
"https://your-domain.com/webhooks/image-task-completed"
Respuesta
Tarea de generación de imágenes creada exitosamente
Marca de tiempo de creación de la tarea
Ejemplo:
1757165031
ID de la tarea
Ejemplo:
"task-unified-1757165031-mjv82"
Nombre del modelo utilizado
Tipo de tarea
Opciones disponibles:
image.generation.task Porcentaje de progreso (0-100)
Rango requerido:
0 <= x <= 100Ejemplo:
0
Estado de la tarea
Opciones disponibles:
pending, processing, completed, failed Ejemplo:
"pending"
Show child attributes
Show child attributes
Opciones disponibles:
text, image, audio, video Ejemplo:
"image"
Show child attributes
Show child attributes