Image Generation API

curl https://www.silvamux.com/api/v3/images/generations \
  -H "Authorization: Bearer $SILVAMUX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "doubao-seedream-5-0-260128",
    "prompt": "A shiba inu wearing sunglasses sitting in a café",
    "size": "2048x2048",
    "n": 1
  }'

# pip install openai
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["SILVAMUX_API_KEY"],
    base_url="https://www.silvamux.com/api/v3",
)

result = client.images.generate(
    model="doubao-seedream-5-0-260128",
    prompt="A shiba inu wearing sunglasses sitting in a café",
    size="2048x2048",
    n=1,
)

for item in result.data:
    print(item.url)

// npm install openai
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.SILVAMUX_API_KEY,
  baseURL: "https://www.silvamux.com/api/v3",
});

const result = await client.images.generate({
  model: "doubao-seedream-5-0-260128",
  prompt: "A shiba inu wearing sunglasses sitting in a café",
  size: "2048x2048",
  n: 1,
});

for (const item of result.data) {
  console.log(item.url);
}

// Standard library only
package main

import (
    "bytes"
    "fmt"
    "io"
    "net/http"
    "os"
)

func main() {
    payload := []byte(`{
        "model": "doubao-seedream-5-0-260128",
        "prompt": "A shiba inu wearing sunglasses sitting in a café",
        "size": "2048x2048",
        "n": 1
    }`)

    req, err := http.NewRequest("POST", "https://www.silvamux.com/api/v3/images/generations", bytes.NewReader(payload))
    if err != nil {
        panic(err)
    }
    req.Header.Set("Authorization", "Bearer "+os.Getenv("SILVAMUX_API_KEY"))
    req.Header.Set("Content-Type", "application/json")

    resp, err := http.DefaultClient.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}