meme

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

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  • InfluxDB - Build time-series-based applications quickly and at scale.
  • SonarQube - Static code analysis for 29 languages.
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  • BLIP

    PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation (by salesforce)

    GitHub - salesforce/BLIP: PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  • Dreambooth-Stable-Diffusion

    Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles. (by JoePenna)

    I made that model about 2 months ago using JoePenna's Dreambooth repo. I upgraded from my 1080TI to a used 3090, specifically to be able to train models. Here's the specifics for training:

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

  • Regularization Images: Euler Woman

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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