New (simple) Dreambooth method is out, train under 10 minutes without class images on multiple subjects, retrainable-ish model

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

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  • diffusers

    🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch (by ShivamShrirao)

    Since all the images must have the same token, wouldn't it be easier to input subject tokens into a list instead of renaming everything? Kinda like Shivam's json approach.

  • DeepSpeed

    DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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  • diffusers

    🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

    https://github.com/huggingface/diffusers This diffusers?

  • fast-stable-diffusion

    fast-stable-diffusion + DreamBooth

    Open an issue in the repo https://github.com/TheLastBen/fast-stable-diffusion, use a screenshot to describe the problem

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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