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g-diffuser-lib
Discontinued Discord bot and utilities for the diffusers library (stable-diffusion) [Moved to: https://github.com/parlance-zz/g-diffuser-bot]
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Installation: 1) clone this repository to a folder of your choice (or click the green "code" button up top and click "download zip") 2) download / install miniconda (https://docs.conda.io/en/latest/miniconda.html) 3) open a conda prompt (click on the start menu and look for "anaconda prompt"), then navigate to the folder where you cloned / downloaded this repository. 4) run "conda env create -f environment.yaml" 5) place any pre-downloaded models into the models folder, if you want to use a hugging-face token instead, enter it in g_diffuser_config.py for specific instructions on model download / installation please see models/README.md (https://github.com/parlance-zz/g-diffuser-lib/tree/g-diffuser-bot-beta2/models) 6) If you are running Windows 10 you may need to turn on "developer mode". Look for "developer settings" in the start menu.
Vision for the g-diffuser-lib project: - In the near future the diffusers library (https://github.com/huggingface/diffusers) being developed and promoted by hugging-face will expose multi-modality sampling abilities, meaning we will be able to arbitrarily mix and match input and output types. Tasks like txt2music, music2img, and everything in-between will be possible, and all of this will be coming within the next few months, not the next few years. - The goal of the project is to provide the best possible front-end, interface, and utilities for the diffusers library and to enable regular users to access these powerful abilities with a free and easy-to-use package that supports their local GPU and as many OS's / platforms as possible.
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