이미지 생성

curl -X POST "https://api.marswave.ai/openapi/v1/images/generation" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "provider": "google",
    "model": "gemini-3-pro-image",
    "prompt": "A serene mountain landscape at sunset with a reflective lake",
    "imageConfig": {
      "aspectRatio": "16:9",
      "imageSize": "2K"
    }
  }'

const response = await fetch(
  'https://api.marswave.ai/openapi/v1/images/generation',
  {
    method: 'POST',
    headers: {
      Authorization: `Bearer ${process.env.LISTENHUB_API_KEY}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      provider: 'google',
      model: 'gemini-3-pro-image',
      prompt: 'A serene mountain landscape at sunset with a reflective lake',
      imageConfig: {
        aspectRatio: '16:9',
        imageSize: '2K',
      },
    }),
  },
)
const data = await response.json()
// data.candidates[0].content.parts[0].inlineData holds the generated image

import os
import requests

response = requests.post(
    'https://api.marswave.ai/openapi/v1/images/generation',
    headers={'Authorization': f'Bearer {os.environ["LISTENHUB_API_KEY"]}'},
    json={
        'provider': 'google',
        'model': 'gemini-3-pro-image',
        'prompt': 'A serene mountain landscape at sunset with a reflective lake',
        'imageConfig': {
            'aspectRatio': '16:9',
            'imageSize': '2K',
        },
    },
)
data = response.json()
# data['candidates'][0]['content']['parts'][0]['inlineData'] holds the generated image

curl -X POST "https://api.marswave.ai/openapi/v1/images/generation" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "provider": "google",
    "model": "gemini-3-pro-image",
    "prompt": "Transform this scene into a watercolor painting style",
    "referenceImages": [
      {
        "fileData": {
          "fileUri": "https://example.com/my-photo.jpg",
          "mimeType": "image/jpeg"
        }
      }
    ],
    "imageConfig": {
      "aspectRatio": "1:1",
      "imageSize": "2K"
    }
  }'

const response = await fetch(
  'https://api.marswave.ai/openapi/v1/images/generation',
  {
    method: 'POST',
    headers: {
      Authorization: `Bearer ${process.env.LISTENHUB_API_KEY}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      provider: 'google',
      model: 'gemini-3-pro-image',
      prompt: 'Transform this scene into a watercolor painting style',
      referenceImages: [
        {
          fileData: {
            fileUri: 'https://example.com/my-photo.jpg',
            mimeType: 'image/jpeg',
          },
        },
      ],
      imageConfig: {
        aspectRatio: '1:1',
        imageSize: '2K',
      },
    }),
  },
)
const data = await response.json()

import os
import requests

response = requests.post(
    'https://api.marswave.ai/openapi/v1/images/generation',
    headers={'Authorization': f'Bearer {os.environ["LISTENHUB_API_KEY"]}'},
    json={
        'provider': 'google',
        'model': 'gemini-3-pro-image',
        'prompt': 'Transform this scene into a watercolor painting style',
        'referenceImages': [
            {
                'fileData': {
                    'fileUri': 'https://example.com/my-photo.jpg',
                    'mimeType': 'image/jpeg',
                }
            }
        ],
        'imageConfig': {
            'aspectRatio': '1:1',
            'imageSize': '2K',
        },
    },
)
data = response.json()

curl -X POST "https://api.marswave.ai/openapi/v1/images/generation" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "provider": "google",
    "model": "gemini-3-pro-image",
    "prompt": "Create a cartoon version of this portrait",
    "referenceImages": [
      {
        "inlineData": {
          "data": "<BASE64_ENCODED_IMAGE>",
          "mimeType": "image/png"
        }
      }
    ]
  }'

import { readFileSync } from 'fs'

const imageBase64 = readFileSync('reference.png').toString('base64')

const response = await fetch(
  'https://api.marswave.ai/openapi/v1/images/generation',
  {
    method: 'POST',
    headers: {
      Authorization: `Bearer ${process.env.LISTENHUB_API_KEY}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      provider: 'google',
      model: 'gemini-3-pro-image',
      prompt: 'Create a cartoon version of this portrait',
      referenceImages: [
        {
          inlineData: {
            data: imageBase64,
            mimeType: 'image/png',
          },
        },
      ],
    }),
  },
)
const data = await response.json()

import os
import base64
import requests

with open('reference.png', 'rb') as f:
    image_base64 = base64.b64encode(f.read()).decode('utf-8')

response = requests.post(
    'https://api.marswave.ai/openapi/v1/images/generation',
    headers={'Authorization': f'Bearer {os.environ["LISTENHUB_API_KEY"]}'},
    json={
        'provider': 'google',
        'model': 'gemini-3-pro-image',
        'prompt': 'Create a cartoon version of this portrait',
        'referenceImages': [
            {
                'inlineData': {
                    'data': image_base64,
                    'mimeType': 'image/png',
                }
            }
        ],
    },
)
data = response.json()

curl -X POST "https://api.marswave.ai/openapi/v1/images/generation/estimate-credits" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "imageConfig": {
      "imageSize": "2K",
      "aspectRatio": "1:1",
      "quality": "medium"
    }
  }'

const response = await fetch(
  'https://api.marswave.ai/openapi/v1/images/generation/estimate-credits',
  {
    method: 'POST',
    headers: {
      Authorization: `Bearer ${process.env.LISTENHUB_API_KEY}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      model: 'gpt-image-2',
      imageConfig: { imageSize: '2K', aspectRatio: '1:1', quality: 'medium' },
    }),
  },
)
const { data } = await response.json()
console.log(data.credits, data.canGenerate)

import os
import requests

response = requests.post(
    'https://api.marswave.ai/openapi/v1/images/generation/estimate-credits',
    headers={'Authorization': f'Bearer {os.environ["LISTENHUB_API_KEY"]}'},
    json={
        'model': 'gpt-image-2',
        'imageConfig': {'imageSize': '2K', 'aspectRatio': '1:1', 'quality': 'medium'},
    },
)
data = response.json()['data']
print(data['credits'], data['canGenerate'])

curl -X POST "https://api.marswave.ai/openapi/v1/images/generation/async" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "provider": "google",
    "model": "gemini-3-pro-image",
    "prompt": "An astronaut riding a horse on Mars, photorealistic",
    "imageConfig": { "imageSize": "4K", "aspectRatio": "16:9" }
  }'

const res = await fetch(
  'https://api.marswave.ai/openapi/v1/images/generation/async',
  {
    method: 'POST',
    headers: {
      Authorization: `Bearer ${process.env.LISTENHUB_API_KEY}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      provider: 'google',
      model: 'gemini-3-pro-image',
      prompt: 'An astronaut riding a horse on Mars, photorealistic',
      imageConfig: { imageSize: '4K', aspectRatio: '16:9' },
    }),
  },
)
const { data } = await res.json()
const taskId = data.taskId

import os
import requests

res = requests.post(
    'https://api.marswave.ai/openapi/v1/images/generation/async',
    headers={'Authorization': f'Bearer {os.environ["LISTENHUB_API_KEY"]}'},
    json={
        'provider': 'google',
        'model': 'gemini-3-pro-image',
        'prompt': 'An astronaut riding a horse on Mars, photorealistic',
        'imageConfig': {'imageSize': '4K', 'aspectRatio': '16:9'},
    },
)
task_id = res.json()['data']['taskId']