Using DreamBooth on SD on a 3090 w/24gb VRAM (about 1.5 hrs to train)

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  • Dreambooth-Stable-Diffusion

    Implementation of Dreambooth ( by way of Textual Inversion ( for Stable Diffusion ( Tweaks focused on training faces, objects, and styles. (by JoePenna)

    Here is a version on put on RunPod which seems to work for me so far-

  • Stable-textual-inversion_win

    Would it be possible for you to add this new code in the "regular" textual inversion code? like in this one : - I'm using a 3090, batch size of 3, workers 10, size 384 - works pretty good but if your modification could reduce the VRAM, it could go faster.

  • Zigi

    Delete the most useless function ever: context switching.. Zigi monitors Jira and GitHub updates, pings you when PRs need approval and lets you take fast actions - all directly from Slack! Plus it reduces cycle time by up to 75%.

  • bitsandbytes

    8-bit CUDA functions for PyTorch

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