# Architecture Tuned Model

> dvArch is a custom trained model that uses three separate trigger words:

dvArchModern

dvArchGothic

dvArchVictorian

Each of the trigger words will create buildings in that style of architecture. You can also use the three trigger words together to generate whole cities in a mix of buildings in those styles.

dvArchInterior is a custom trained model that uses three separate trigger words:

dvArchInteriorModern

dvArchInteriorGothic

dvArchInteriorVictorian

Each of the trigger words will create interior rooms in that style of building. Use "bedroom" "living room" "bathroom" etc to specify type of room.

## Overview

- **Model ID**: `architecture-tuned-model`
- **Category**: stable diffusion
- **Provider**: modelslab
- **Status**: model_ready
- **Screenshot**: `https://assets.modelslab.com/generations/20e573eb-224f-4a02-b2c5-ef58aa98133c-0.png`

## API Information

This model can be used via our HTTP API. See the API documentation and usage examples below.

### Endpoint

- **URL**: `https://modelslab.com/api/v6/images/text2img`
- **Method**: POST

### Parameters

- **`prompt`** (required): prompt help in image generation
  - Type: textarea
  - Example: Enter prompt

- **`model_id`** (required): Enter model_id that can help in image generation
  - Type: text
  - Example: Enter model_id here

- **`lora_model`** (required): 
  - Type: multiple_models

- **`width`** (required): width of the image 
  - Type: number (range: 512-1024)

- **`height`** (required): height of the image 
  - Type: number (range: 512-1024)

- **`negative_prompt`** (optional): Negative prompt help in avoid things that you do not want in image 
  - Type: textarea
  - Example: Enter negative prompt that you do not want see in image

- **`scheduler`** (optional): 
  - Type: select (options: DPM++ 2M, DPM++ SDE, Euler, Euler a)

- **`guidance_scale`** (optional): 
  - Type: number (range: 1-10)

## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://modelslab.com/api/v6/images/text2img \
  --header "Content-Type: application/json" \
  --data '{
    "key": "YOUR_API_KEY",
    "model_id": "architecture-tuned-model",
    "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro",
    "width": "1024",
    "height": "1024",
    "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry",
    "scheduler": "DPMSolverMultistepScheduler",
    "guidance_scale": "7.5"
  }'
```

### Python

```python
import requests

response = requests.post(
    "https://modelslab.com/api/v6/images/text2img",
    headers={
        "Content-Type": "application/json"
    },
    json={
        "key": "YOUR_API_KEY",
        "model_id": "architecture-tuned-model",
        "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro",
        "width": "1024",
        "height": "1024",
        "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry",
        "scheduler": "DPMSolverMultistepScheduler",
        "guidance_scale": "7.5"
    }
)

print(response.json())
```

### JavaScript

```javascript
fetch("https://modelslab.com/api/v6/images/text2img", {
  method: "POST",
  headers: {
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "key": "YOUR_API_KEY",
    "model_id": "architecture-tuned-model",
    "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro",
    "width": "1024",
    "height": "1024",
    "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry",
    "scheduler": "DPMSolverMultistepScheduler",
    "guidance_scale": "7.5"
  })
})
.then(response => response.json())
.then(data => console.log(data));
```

## Links

- [Model Playground](https://modelslab.com/models/community-model/architecture-tuned-model)
- [API Documentation](https://docs.modelslab.com)
- [ModelsLab Platform](https://modelslab.com)