Can we identify most Stable Diffusion Model issues with just a few circles?

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

Scout Monitoring - Free Django app performance insights with Scout Monitoring
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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.
www.influxdata.com
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  • stable_diffusion_tools

    Stable Diffusion Tools

  • Running the comparison took around 3.5 hours on RTX 2080 8GB Vram. I'm not sure how long it took to prepare and organize everything, much more... Most models were downloaded manually. For the last ~50 models, I created a download script: civitai_download.py(configurations) available from my GitHub, that you can use and adapt. I created it with ChatGPT. Civitai search is very bad at finding anything, Google search works better. Here is a list of the models:

  • EveryDream2trainer

  • I recoment EveryDream2 for training, it has a lot of nice features. I'm not sure there is a proper manual to learn how to train, but there is a lot of information available. I have been learning this subjects for a few months myself.

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring logo
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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