
ModelsLab
4.5 (42 reviews)
Stable Diffusion & LLM API for next-generation AI products.
About ModelsLab
Overview of ModelsLab: the API for Stable Diffusion and LLMs
Models Lab is a suite of APIs that make it easy for businesses to create visual content. Their APIs are easy to use and integrate with various applications, making it possible for businesses of all sizes to take advantage of their services.
The main selling point for ModelsLab is the benefit when it comes to the convenience of not maintaining GPUs and the option to train models on your dataset for customized image generation.
How ModelsLab works
ModelsLab allows users to focus on building AI products without the need to maintain GPUs. Providing a range of APIs, including Stable Diffusion, LLM, Image Editing, Training, Enterprise, Text to 3D, Voice Cloning, and Interior APIs.
The Lora & Dreambooth API enables users to train models on their dataset for image generation, and there are 1000+ pre-trained models available for generating images with a single click.
Available models
ModelsLab offers APIs for multiple categories of AI models.
Stable Diffusion models
Voice Cloning models
Large Lanugage models
Who is it for?
ModelsLab is primarily used by developers, researchers, and businesses involved in the field of artificial intelligence, particularly in image processing and generation.
ModelsLab pricing plans
ModelsLab offers three pricing plans on both monthly and yearly bases:
Basic plan ($29/month)
- Upto 13000 Image Generations
- 3250 API calls
- No Controlnet APIs
- Best for personal or freelance
- Shared GPU
- 5 Request Per Second Limit
Standard plan ($49/month)
- Upto 40000 Image Generations
- 10000 API Calls
- Access All APIs
- Best for personal or freelance
- Shared GPUs
- 10 Request per second Limit
Premium plan ($149/month)
- Unlimited API calls
- Unlimited Image Generation
- Best for high growth apps
- Shared GPUs
- 15 Request per second Limit
- Image Editing APIs
- Video Generation APIs
- All LLM APIs
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Application Details
- Category
AI API
- Added
April 9, 2025
- Support
Email, Documentation, Knowledge Base