---
title: Traditional Chinese Houses V1.0 | Text to Image | ModelsLab
description: Generate images from text with Traditional Chinese Houses V1.0. High-resolution AI image generation. Plans from $21/month.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/traditional-chinese-houses-v1-0.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/traditional-chinese-houses-v1-0
type: product
component: Playground/Endpoint/Index
generated_at: 2026-08-03T03:32:54.644110Z
---

[![Traditional Chinese houses - v1.0 thumbnail](https://assets.modelslab.ai/api-logos/01KPMZY676ZM0Z7YJWBM9C78QP.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab)Traditional Chinese Houses - V1.0
---

[by ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab)Generate photorealistic and imaginative images from text prompts with advanced detail, inpainting, and image-to-image translation features, ideal for creatives and marketers.

`traditional-chinese-houses-v1-0`

Open Source Model [Unlimited Usage](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/traditional-chinese-houses-v1-0/llms.txt)

Endpoint:Select Endpoint

[API Playground](/models/modelslab/traditional-chinese-houses-v1-0)ShowcaseAPI DocumentationVibe CodeRelated ModelsDeveloper SupportModel SpecsEnterprise Deployment

Input
---

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

Model 

Lora Model 

traditional-chinese-houses-v1-0

Width 

Height 

Advanced Settings Customize your input with more control.

Configure

Login to Generate

**Per image generation** will cost **0.0047$** 
**For premium plan image generation** will cost **0.00$** i.e **Free.**

Output
---

Idle

Unknown content type

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About Traditional Chinese Houses - V1.0
---

Traditional Chinese Houses - V1.0 is a text to image AI model by ModelsLab available on ModelsLab. Access Traditional Chinese Houses - V1.0 through our API with pay-per-use pricing and no minimum commitments.

### Technical Specifications

Model IDtraditional-chinese-houses-v1-0

ProviderModelsLab

CategoryImage Models

TaskText to Image

Price$0.0047 per API call

AddedNovember 21, 2025

### Key Features

- High-resolution AI image generation from text prompts
- Negative prompt support for precise control
- Multiple output formats and aspect ratios
- Adjustable inference steps and guidance scale
- Batch generation support via API

### Quick Start

Integrate Traditional Chinese Houses - V1.0 into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v6/images/text2img"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "traditional-chinese-houses-v1-0",
        "prompt": "your prompt here",
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

### Pricing

Traditional Chinese Houses - V1.0 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

### Use Cases

- Product photography and e-commerce visuals
- Marketing and social media content creation
- Concept art and design prototyping
- Custom illustrations and artwork

[Browse Image Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=imagen) [More from ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

Traditional Chinese Houses - V1.0 FAQ
---

### What is Traditional Chinese Houses - V1.0?

Traditional Chinese Houses - V1.0 is a text to image AI model by ModelsLab available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments.

### How do I use the Traditional Chinese Houses - V1.0 API?

You can integrate Traditional Chinese Houses - V1.0 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "traditional-chinese-houses-v1-0" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Traditional Chinese Houses - V1.0 cost?

Traditional Chinese Houses - V1.0 costs $0.0047 per API call. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.

### What is the Traditional Chinese Houses - V1.0 model ID?

The model ID for Traditional Chinese Houses - V1.0 is "traditional-chinese-houses-v1-0". Use this ID in your API requests to specify this model.

### Do I need a paid plan to use Traditional Chinese Houses - V1.0?

Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet.

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-08-03*