Generating More Creative and Curated Ghibli-Style Images with GPT-4o and Milvus

What this post added

This post demonstrates the integration of Milvus with GPT-4o for generating curated images. It details the technical steps involved: setting up dependencies, preparing a dataset of images, defining a feature extractor using ResNet-50 from the `timm` library to generate embeddings, creating a Milvus collection with `COSINE` metric type and a vector dimension of 2048, inserting image embeddings along with filenames into Milvus, and performing similarity searches using a query image. The post also provides example prompts and outputs for generating Ghibli-style images and comic strips based on the search results. It highlights the use of Milvus Lite for local setup and suggests scaling to a Milvus server for larger datasets.