ArchDiffusion v4.1

curl -X POST https://api.mnmlai.dev/v1/archDiffusion-v41 \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F "image=@/path/to/building.jpg" \
  -F "expert_name=exterior" \
  -F "prompt=Modern commercial building with glass facade"

curl -X POST https://api.mnmlai.dev/v1/archDiffusion-v41 \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F "image=@/path/to/interior.jpg" \
  -F "expert_name=interior" \
  -F "prompt=Luxury hotel lobby with marble finishes" \
  -F "context=["lobby","hotel_room"]" \
  -F "scene_mood=golden_hour" \
  -F "render_style=cinematic"

curl -X POST https://api.mnmlai.dev/v1/archDiffusion-v41 \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F "image=@/path/to/building.jpg" \
  -F "expert_name=exterior" \
  -F "prompt=Modern residential building with natural materials" \
  -F "imagetype=3dmass" \
  -F "camera_angle=eye_level" \
  -F "scene_mood=sunset" \
  -F "render_style=realistic" \
  -F "render_scenario=balanced" \
  -F "context=["residential"]" \
  -F "reference_image_1=@/path/to/style-ref-1.jpg" \
  -F "reference_image_2=@/path/to/style-ref-2.jpg" \
  -F "seed=123456"

curl -X POST https://api.mnmlai.dev/v1/archDiffusion-v41 \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F "image=@/path/to/product-sketch.jpg" \
  -F "expert_name=product" \
  -F "prompt=Modern minimalist product design with clean lines" \
  -F "imagetype=sketch" \
  -F "context=["realistic","minimal"]" \
  -F "render_style=realistic"

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('expert_name', 'exterior');
form.append('prompt', 'Modern commercial building with glass facade');
form.append('imagetype', 'photo');
form.append('camera_angle', 'same_as_input');
form.append('scene_mood', 'auto_daylight');
form.append('render_style', 'realistic');
form.append('render_scenario', 'precise');
form.append('context', JSON.stringify(['commercial']));
form.append('seed', '123456');

const response = await axios.post(
  'https://api.mnmlai.dev/v1/archDiffusion-v41',
  form,
  {
    headers: {
      'Accept': 'application/json',
      'Authorization': 'Bearer YOUR_API_KEY',
      ...form.getHeaders()
    }
  }
);

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

import requests
import json

url = 'https://api.mnmlai.dev/v1/archDiffusion-v41'

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

data = {
    'expert_name': 'exterior',
    'prompt': 'Modern commercial building with glass facade',
    'imagetype': 'photo',
    'camera_angle': 'same_as_input',
    'scene_mood': 'auto_daylight',
    'render_style': 'realistic',
    'render_scenario': 'precise',
    'context': json.dumps(['commercial']),
    'seed': '123456'
}

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"Expert: {result['expert_name']}")
print(f"Seed: {result['seed']}")
print(f"Remaining credits: {result['credits']}")