ArchDiffusion v4.2

curl -X POST https://api.mnmlai.dev/v1/archDiffusion-v42 \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F "image=@/path/to/building.jpg" \
  -F "prompt=Modern commercial building with glass facade" \
  -F "expert_name=exterior" \
  -F "render_style=photoreal"

curl -X POST https://api.mnmlai.dev/v1/archDiffusion-v42 \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F "image=@/path/to/room.jpg" \
  -F "prompt=Luxury penthouse living room" \
  -F "expert_name=interior" \
  -F "render_style=photoreal" \
  -F "room_type=living room" \
  -F "room_style=Modern interior" \
  -F "furnishing_level=full" \
  -F "indoor_plants=some" \
  -F "lighting_mode=natural" \
  -F "ambience=golden_hour"

curl -X POST https://api.mnmlai.dev/v1/archDiffusion-v42 \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F "image=@/path/to/chair-sketch.jpg" \
  -F "prompt=Designer lounge chair with walnut frame" \
  -F "expert_name=product" \
  -F "render_style=photoreal" \
  -F "product_category=furniture" \
  -F "background=studio" \
  -F "product_lighting=soft" \
  -F "material_finish=wood" \
  -F "shadow_style=soft"

const FormData = require('form-data');
const fs = require('fs');
const axios = require('axios');

const form = new FormData();
form.append('image', fs.createReadStream('building.jpg'));
form.append('prompt', 'Modern residential building');
form.append('expert_name', 'exterior');
form.append('render_style', 'photoreal');
form.append('geometry', 'precise');
form.append('time_of_day', 'golden_hour');
form.append('greenery', 'lush');
form.append('weather', 'clear');

const response = await axios.post(
  'https://api.mnmlai.dev/v1/archDiffusion-v42',
  form,
  {
    headers: {
      'Accept': 'application/json',
      'Authorization': 'Bearer YOUR_API_KEY',
      ...form.getHeaders()
    }
  }
);

console.log('Request ID:', response.data.id);
console.log('Remaining credits:', response.data.credits);

import requests

url = 'https://api.mnmlai.dev/v1/archDiffusion-v42'

files = {
    'image': open('building.jpg', 'rb')
}

data = {
    'prompt': 'Modern commercial building with glass facade',
    'expert_name': 'exterior',
    'render_style': 'photoreal',
    'geometry': 'precise',
    'camera_angle': 'eye_level',
    'time_of_day': 'golden_hour',
    'greenery': 'some',
    'vehicles': 'few',
    'people': 'few'
}

headers = {
    'Accept': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
}

response = requests.post(url, headers=headers, files=files, data=data)
result = response.json()

print(f"Request ID: {result['id']}")
print(f"Remaining credits: {result['credits']}")