![]() To avoid import errors on such systems, specify the correct path in waf configure using a -pythondir option or the PYTHONDIR environmental variable. Note that when installing Essentia to the default /usr/local prefix, on some Linux distributions this results in a wrong /usr/local/lib/python3/dist-packages/ package installation path (for example, Ubuntu, see Alternatively, you can set a specific Python binary using the -python=PYTHON configuration option. To build Essentia with Python 3 bindings, use the -with-python configuration flag.īy default, the waf build script will auto-detect the site-packages (or dist-packages) directory to install Essentia’s Python package according to the Python binary used to execute it. You can install those dependencies on a Debian/Ubuntu system from official repositories using the command below: TensorFlow: for inference with TensorFlow deep learning models (optional)Īll dependencies are optional, and some functionality will be excluded when a dependency is not found. Gaia: for using SVM classifier models (optional)Ĭhromaprint: for audio fingerprinting (optional) LibYAML: for YAML files input/output (optional) TagLib: for reading audio metadata tags (optional) ![]() Libsamplerate: for resampling audio (optional) Libavcodec/libavformat/libavutil/libswresample (from the FFmpeg/LibAv project): for loading/saving any type of audio files (optional) Compiling Essentia from source ¶Įssentia depends on (at least) the following libraries:įFTW: for the FFT implementation (optional) Windows, Android, iOS ¶Ĭross-compile Essentia from Linux/macOS (see below). This guide is intentionally doing a "kitchen sink" approach of installing everything, because this can help our people with more capabilities as they try Stable Diffusion.For other needs, you need to compile Essentia from source (see below). This guide is intentionally using steps that help multiple macOS users on the same system, because we want this guide to be able to help people who share a computer, such as teachers and students in schools. This guide is intentionally step-by-step, because we want to help more people be successful, including people who are trying these kinds of software installs for the first time. ![]() If you want maximum configurability on macOS, and you willing to install a bunch of software pieces, then try this guide. If you want an easy way to try Stable Diffusion on macOS and other operating systems, then try this first: If you want an easy way to try Stable Diffusion on macOS, then try this first: This guide is our notes about our preferred way of installing Stable Diffusion. MacBook Pro with M1 ARM chip and 32GB free RAM, not x86-64 Intel chip, not less than 32GB free RAM Stable Diffusion macOS install help is our guide for this kind of setup:Īpple macOS Monterey operating system, current version ![]()
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