ML Blocks

ML Blocks is a no-code platform for designing, running, and managing AI-powered image generation and analysis workflows. It enables users to visually compose complex pipelines that combine multiple AI models and processing steps, without needing to write or maintain code. The primary purpose of ML Blocks is to make advanced computer vision and image generation capabilities accessible to teams that want rapid experimentation, iteration, and deployment.

The platform provides a block-based workflow builder where each block represents a specific function, such as image generation from text prompts, object detection, image classification, segmentation, or image enhancement. Users can chain these blocks together to create end-to-end workflows that ingest images, apply AI models, post-process outputs, and route results to downstream tools or storage. ML Blocks supports configuration of model parameters, branching logic, and conditional steps, allowing users to build reusable, modular pipelines. The visual interface also helps with debugging and optimization by making the flow of data and transformations transparent.