Want to use some weekend time to develop some useful open source tools- what would be useful?

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion
Machine Learning Tensorflow Python Deep Learning deep-neural-networks

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  • tensorflow

    An Open Source Machine Learning Framework for Everyone

    • Heck, I don't know how involved you feel like getting, but providing Python 3.11 support for tensorflow would be super awesome.

  • ComfyUI

    The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

    • Since the VAE is shared between all SD1.x, SD2.x and likely future versions it would be extremely useful. I'm currently experimenting with tiled VAE decoding in my ComfyUI to try to solve this but it's not ideal.

  • 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.

    InfluxDB logo

  • civitai

    A repository of models, textual inversions, and more

    • Some models on civitai.com list their composition, but most of them don't. Also, some model take publicly available models such as Analog Diffusion, then blend them with their own custom DreamBooth model and only release their final model. In that case, the information is not very useful because one of the source models is not publicly available.

  • lyne

    Python processing pipelines

    • Turn this mask creation tool into an A1111 extension.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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