efficient-dreambooth VS memory_efficient_dreambooth

Compare efficient-dreambooth vs memory_efficient_dreambooth and see what are their differences.

efficient-dreambooth

[Moved to: https://github.com/smy20011/dreambooth-docker] (by smy20011)
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efficient-dreambooth memory_efficient_dreambooth
9 2
45 55
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10.0 10.0
over 1 year ago over 1 year ago
Dockerfile Python
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

efficient-dreambooth

Posts with mentions or reviews of efficient-dreambooth. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-02.

memory_efficient_dreambooth

Posts with mentions or reviews of memory_efficient_dreambooth. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-01.
  • Dreambooth: Are more images better?
    1 project | /r/StableDiffusion | 6 Oct 2022
    Yeah, all were the same subject. I used this script for running dreambooth https://github.com/matteoserva/memory_efficient_dreambooth and to my understanding this does not use the class images at all. I had another training earlier with 1400 faces only @ 20k steps which had much better results. Maybe I should've used 40k steps? I don't know :)
  • Dreambooth in 11GB of VRAM
    11 projects | /r/StableDiffusion | 1 Oct 2022
    This is my repository with the updated source and a sample launcher: https://github.com/matteoserva/memory_efficient_dreambooth

What are some alternatives?

When comparing efficient-dreambooth and memory_efficient_dreambooth you can also consider the following projects:

fast-stable-diffusion - fast-stable-diffusion + DreamBooth

stable-dreambooth-optimized - Dreambooth implementation based on Stable Diffusion with minimal code.

Dreambooth-Stable-Diffusion-cpu - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

dreambooth-docker

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

stable-diffusion-webui - Stable Diffusion web UI

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.