--- title: MichelleAI V1 API | Text to Image | ModelsLab description: Generate images from text with MichelleAI V1. High-resolution AI image generation. Pay-per-use. Free tier. url: https://modelslab.com/models/modelslab/michelleai-v1.md canonical: https://modelslab.com/models/modelslab/michelleai-v1.md type: product component: Playground/Endpoint/Index generated_at: 2026-04-18T08:57:43.287455Z --- [![MichelleAI - V1 thumbnail](https://modelslab.com/images/logo-favicon.png)](https://modelslab.com/models/modelslab)MichelleAI - V1 --- [by ModelsLab](https://modelslab.com/models/modelslab)Initial test version.This LoRA is published for experimentation and learning purposes.Identity consistency is limited and this version is not intended as a final character model. `michelleai-v1` Open Source Model [Unlimited Usage](https://modelslab.com/pricing) [LLMs.txt](https://modelslab.com/models/modelslab/michelleai-v1/llms.txt) [API Playground](/models/modelslab/michelleai-v1) [API Documentation](/models/modelslab/michelleai-v1/api)Vibe 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 michelleai-v1 Width Height Advanced Settings Customize your input with more control. 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V1 into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v6/images/text2img" headers = { "Content-Type": "application/json" } data = { "model_id": "michelleai-v1", "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}") ``` View the [full API documentation](https://modelslab.com/models/modelslab/michelleai-v1/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing MichelleAI - V1 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) [Browse All Models](https://modelslab.com/models) [More from Modelslab](https://modelslab.com/models/modelslab) [View Pricing](https://modelslab.com/pricing) MichelleAI - V1 FAQ --- ### What is MichelleAI - V1? Initial test version.This LoRA is published for experimentation and learning purposes.Identity consistency is limited and this version is not intended as a final character model. ### How do I use the MichelleAI - V1 API? You can integrate MichelleAI - V1 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "michelleai-v1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does MichelleAI - V1 cost? MichelleAI - V1 costs $0.0047 per API call. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the MichelleAI - V1 model ID? The model ID for MichelleAI - V1 is "michelleai-v1". Use this ID in your API requests to specify this model. ### Does MichelleAI - V1 have a free tier? Yes, ModelsLab offers a free tier that lets you try MichelleAI - V1 and other AI models. Sign up to get free API credits and start building immediately. --- *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 - 2026-04-18*