Man I wish I could do all this cool shit too

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion

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.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • stable-diffusion-webui

    Stable Diffusion web UI

  • it used to be horrible, but very recently there has been updates. Scripts now work out-of-the-box, except my 5700 needs these COMMANDLINE_ARGS --opt-sub-quad-attention --medvram --disable-nan-check --precision full --no-half

  • fast-stable-diffusion

    fast-stable-diffusion + DreamBooth

  • Just use the A1111 colab from TheLastBen

  • 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
  • k-diffusion-directml

    Karras et al. (2022) diffusion models for PyTorch

  • Download k-diffusion and stablediffusion folders. (click green button "Code" and download as ZIP). Go to the folder you installed in step 1 and browse to repositories, extract these two folders there. Rename them to k-diffusion and stable-diffusion-stability-ai. If you already have these folders delete them first.

  • stablediffusion-directml

    High-Resolution Image Synthesis with Latent Diffusion Models

  • Download k-diffusion and stablediffusion folders. (click green button "Code" and download as ZIP). Go to the folder you installed in step 1 and browse to repositories, extract these two folders there. Rename them to k-diffusion and stable-diffusion-stability-ai. If you already have these folders delete them first.

  • MIOpen

    AMD's Machine Intelligence Library

  • SHARK

    SHARK - High Performance Machine Learning Distribution

  • You should try, doesnt have all the features of auto1111 but the speed is solid on AMD, works on Intel and NVidia too. https://github.com/nod-ai/SHARK

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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