Show HN: ML Blocks – Deploy multimodal AI workflows without code https://ift.tt/K4kgnTZ

Show HN: ML Blocks – Deploy multimodal AI workflows without code Hey everyone, ML Blocks is a node-based workflow builder to create multi-modal AI workflows without writing any code. You connect blocks that call various visual models like GPT4v, Segment Anything, Dino etc. along with basic image processing blocks like resize, invert color, blur, crop, and several others. The idea is to make it easier to deploy multi-step image processing workflows, without needing to spin up endless custom OpenCV cloud functions to glue together AI models. Usually, even if you're using cloud inference servers like Replicate, you still need to write your own image processing code to pre and post-process images in your pipeline. When you're trying to move fast, that's just unnecessary overhead. With ML Blocks, you can build a workflow and deploy the whole thing as a single API. AFAIK, ML Blocks is the only end-to-end workflow builder built specifically for image processing. If you're curious, our models run on Replicate, HuggingFace & Modal Labs cloud GPUs and we use React Flow for the node UX. https://ift.tt/YdR5jvM February 1, 2024 at 11:15PM

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