efficient-dreambooth
[Moved to: https://github.com/smy20011/dreambooth-docker] (by smy20011)
memory_efficient_dreambooth
By matteoserva
efficient-dreambooth | memory_efficient_dreambooth | |
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9 | 2 | |
45 | 55 | |
- | - | |
10.0 | 10.0 | |
over 1 year ago | over 1 year ago | |
Dockerfile | Python | |
- | - |
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
- Want to use your own face ? Uploading a Tutorial today !
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Inserting your face to any picture after Dreambooth (or other faces)
Well, i don't better make a video to install this repo https://github.com/smy20011/efficient-dreambooth in windows, so we all can train our models?
- Automatic1111 with WORKING local textual inversion on 8GB 2090 Super !!!
- Show HN: Train Stable Diffusion Dreambooth on 1080ti
- Train dreambooth on 11GB GPU with prebuilt docker image
- Dreambooth in 11GB of VRAM
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Help with Dreambooth
Option1: you wait for people to push the limits. its currently at 11gb.
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.
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Dreambooth: Are more images better?
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 :)
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Dreambooth in 11GB of VRAM
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.
efficient-dreambooth vs fast-stable-diffusion
memory_efficient_dreambooth vs stable-dreambooth-optimized
efficient-dreambooth vs Dreambooth-Stable-Diffusion-cpu
memory_efficient_dreambooth vs Dreambooth-Stable-Diffusion-cpu
efficient-dreambooth vs dreambooth-docker
memory_efficient_dreambooth vs diffusers
efficient-dreambooth vs diffusers
memory_efficient_dreambooth vs fast-stable-diffusion
efficient-dreambooth vs stable-diffusion-webui
memory_efficient_dreambooth vs Dreambooth-Stable-Diffusion
efficient-dreambooth vs Dreambooth-Stable-Diffusion
efficient-dreambooth vs stable-dreambooth-optimized