Credits

Credits & Dependencies

LrGeniusAI is made possible by these amazing open-source projects and AI frameworks.

Core Backend Dependencies

• InsightFace: State-of-the-art face analysis and recognition; the buffalo_l models power face detection and recognition. GitHub
• SigLIP2 / OpenCLIP: The vision-language models behind semantic search. GitHub
• ONNX Runtime: Cross-platform, high performance ML inferencing, used via the ort crate for SigLIP2 and InsightFace. Website
• LanceDB: Embedded vector database storing embeddings and metadata. Website
• axum / tokio: Async HTTP server and runtime for geniusai-server. GitHub
• Hugging Face Tokenizers: Fast tokenizers used for the SigLIP2 text tower. GitHub

Local Inference Engines

• llama.cpp: Runs GGUF vision models in-process (Metal on macOS, Vulkan on Windows), via the llama-cpp-2 bindings. GitHub
• llguidance: Turns JSON Schemas into decode-time constraints, so local models return valid structured output. GitHub
• MLX & mlx-swift-lm: Apple's array framework and its language-model package, powering the lrgenius-mlx sidecar on Apple silicon. GitHub
• Gemma, Qwen-VL and SmolVLM: The open-weights vision models offered in the built-in model catalogs.

AI Model Providers & Interfaces

• Google Gemini: Large language models for multimodal analysis.
• Google Vertex AI: Enterprise AI platform for training and deploying models.
• OpenAI / ChatGPT: Advanced conversational AI and embeddings.
• Ollama: Run open-source large language models locally. Website
• LM Studio: Discover, download, and run local LLMs. Website

Utilities & SDKs

• JSON.lua: A complete JSON encoder/decoder in Lua by Jeffrey Friedl.
• Adobe Lightroom Classic SDK: The Lua API the plugin frontend is built on.
• Hugging Face Hub: Distribution for the downloadable local models.

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Developed by Bastian Machek (LrGenius / Fokuspunk) and AI agents.