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Most frequent cause of crash is not enough memory on the host. Symptom is biniou program closing and returning to/closing the terminal without specific error message. You can use biniou with 8GB RAM, but 16GB at least is recommended to avoid OOM (out of memory) error.
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biniou use a lot of differents AI models, which requires a lot of space : if you want to use all the modules in biniou, you will need around 100GB of disk space only for the default model of each module. Models are downloaded on the first run of each module or when you select a new model in a module and generate content. Models are stored in the directory /models of the biniou installation. Unused models could be deleted to save some space.
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Consequently, you will need a fast internet access to download models.
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A backup of every content generated is available inside the /outputs directory of the biniou folder.
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biniou doesn't still use CUDA and only rely on CPU for all operations. It use a specific CPU-only version of pyTorch. The result is a better compatibility with a wide range of hardware, but degraded performances. Depending on your hardware, expect slowness.
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Defaults settings are selected to permit generation of contents on low-end computers, with the best ratio performance/quality. If you have a configuration above the minimal settings, you could try using other models, increase media dimensions or duration, modify inference parameters or others settings (like token merging for images) to obtain better quality contents.
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biniou is licensed under GNU GPL3, but each model used in biniou has its own license. Please consult each model license to know what you can and cannot do with the models. For each model, you can find a link to the huggingface page of the model in the "About" section of the associated module.
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Don't have too much expectations : biniou is in an early stage of development, and most open source software used in it are in development (some are still experimentals).
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Every biniou modules offers 2 accordions elements About and Settings :
- About is a quick help features that describes the module and give instructions and tips on how to use it.
- Settings is a panel setting specific to the module that let you configure the generation parameters.