ModelsLab
Official@modelslab
AI DevOps
Agent Skills by ModelsLab
Showing 13 vetted skills indexed across 1 GitHub repositories.
modelslab-image-editing
Edit images via API endpoints for background removal, upscaling, outpainting, and object manipulation.
modelslab-account-management
Automate ModelsLab account signup, login, and token lifecycle management.
modelslab-image-generation
Generate AI images from text prompts or transform images via ModelsLab's v7 API.
modelslab-model-discovery
Search, filter, and compare ModelsLab models with bearer authentication.
modelslab-sdk-usage
Integrate ModelsLab services using multi-language SDKs for Python, TypeScript, PHP, Go, and Dart.
modelslab-audio-generation
Generate audio from text or audio inputs using ModelsLab v7 Voice API endpoints.
modelslab-3d-generation
Generate 3D models from text prompts or 2D images via ModelsLab's 3D API.
modelslab-interior-design
Generate interior redesigns from room images and design prompts.
modelslab-deepfake
Swap faces in images and videos via the Deepfake API.
modelslab-video-generation
Generate AI videos from text, images, or footage via ModelsLab's v7 Video Fusion API.
modelslab-billing-subscriptions
Automate billing, wallet management, subscriptions, and invoices via the Agent Control Plane API.
modelslab-webhooks
Deliver asynchronous task results via webhooks with request ID validation.
modelslab-chat-generation
Chat with 60+ LLMs through one OpenAI-compatible endpoint.
Frequently Asked Questions About ModelsLab
FAQPage SchemaWhat specific media generation tasks are supported?▼
The platform enables text-to-image generation, video fusion, 3D model creation, and audio synthesis. Additionally, it supports advanced image manipulation tasks such as background removal, outpainting, object manipulation, and face swapping for video or static imagery.
Which technical personas benefit from these endpoints?▼
Software engineers and creative technologists building media-heavy applications benefit from these services. The platform is designed for developers requiring scalable access to generative media pipelines, face-swapping capabilities, and interior design visualization without managing underlying infrastructure.
How are task results delivered to the client?▼
Results are delivered asynchronously via webhooks, ensuring efficient processing for long-running media generation tasks. Developers must implement request ID validation to match incoming webhook payloads with their original submission, ensuring data integrity and successful task completion tracking.