Face Morphing in Images is an advanced facial identity transformation model that enables smooth, continuous cycling of identities across multiple faces within a single image. Using precise landmark detection and feature-aligned blending, it delivers seamless transitions, accurate geometry mapping, and visually coherent morphing across varying face sizes, angles, and expressions.
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HuggingChat's goal is to provide an AI assistant with a friendly, human-like personality and the ability to understand and respond to natural language queries from users like you.
The biggest update in 5 years. v5 brings a modular design, first-class quantization, and a new OpenAI-compatible serving API. Optimized for PyTorch and fully interoperable with the modern AI stack (vLLM, llama.cpp, GGUF).
This application lets you manage Hugging Face datasets by fetching dataset splits, previewing data, and uploading CSV files to update datasets. Users need to provide dataset repository details and ...
HuggingChat is back, now powered by Omni. It's a smart chat interface that automatically routes your prompt to the best open-source model for the job, selecting from over 115 models across 15 providers.
