[Tutorial] "Fine Tuning" Stable Diffusion using only 5 Images Using Textual Inversion.

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

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  • textual_inversion

    Go to the textual_inversion repository link here

  • stable-diffusion

    This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI] (by lstein)

    Find SIGUSR1 (& 2), and change it to SIGTERM.. Can also recommend lstein's fork, which is Stable Diffusion with a "Dream" Prompt and Textual Inversion built in https://github.com/lstein/stable-diffusion

  • Scout APM

    Truly a developer’s best friend. Scout APM is great for developers who want to find and fix performance issues in their applications. With Scout, we'll take care of the bugs so you can focus on building great things 🚀.

  • stable-diffusion-dream

    This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface.

    or a fork based on lstein that sometimes has some branches with new stuff, but they're pretty even at the moment. https://github.com/BaristaLabs/stable-diffusion-dream

  • yolov3

    YOLOv3 in PyTorch > ONNX > CoreML > TFLite

    Hey. I only have experience using the official repository, and only use Linux. Could you try the solutions here and see if it helps? https://github.com/ultralytics/yolov3/issues/1643

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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