memory_efficient_dreambooth
By matteoserva
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch (by ShivamShrirao)
| memory_efficient_dreambooth | diffusers | |
|---|---|---|
| 2 | 105 | |
| 55 | 1,870 | |
| - | - | |
| 10.0 | 7.0 | |
| over 1 year ago | 11 months ago | |
| Python | Python | |
| - | Apache License 2.0 |
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.
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
diffusers
Posts with mentions or reviews of diffusers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-09.
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Useful Links
ShivamShrirao's Diffusers Pretrained diffusion models across multiple modalities.
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DreamBooth fine-tuning failing to get the style
Like the title say I'm trying to fine-tune a model to match a style of a popular manhwa. I'm using the ShivamShrirao Google Colab to accomplish this.
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How to resume Dreambooth training?
I am running the DreamBooth_Stable_Diffusion.ipynb notebook from ShivamShrirao locally on my machine. Let's say I have trained for 500 iterations and it hasn't converged yet. How do I make it resume training from that iteration so it can do another 500?
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Non web-ui colab
My understanding, based on messages from an (alleged) representative of colabs, is that the webui is the problem, not SD itself. This also seems to be the consensus in the comments section of other posts. I have not yet seen a link to colab based webui alternatives so here is something I found from a tutorial. I am certain that there are better alternatives. Anyone have a better idea? This will still probably be useful to other people like me who are just messing around.
- [Stablediffusion] Guide pour DreamBooth avec 8 Go de vram sous Windows
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Finally got Dreambooth running without errors... but is it even using the model I trained?
I'm running ShivamShrirao's fork of diffusers; ran into a fp16 issue and had to patch in a fix from the main branch ( #1567 ).
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Shivam Stable Diffusion: Getting same example models repeatedly (SD + Dreambooth)
I am running Shivam Stable Diffusion Jupyter notebook: diffusers/DreamBooth_Stable_Diffusion.ipynb at main · ShivamShrirao/diffusers · GitHub.
- Running Stable Diffusion locally with personalized changes
- Can't create embedding's with dreambooth ckpt
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Weird issue using Shivam's Diffuser notebook
Are you using this one? https://github.com/S
What are some alternatives?
When comparing memory_efficient_dreambooth and diffusers you can also consider the following projects:
stable-dreambooth-optimized - Dreambooth implementation based on Stable Diffusion with minimal code.
stable-diffusion-webui - Stable Diffusion web UI
Dreambooth-Stable-Diffusion-cpu - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
efficient-dreambooth - [Moved to: https://github.com/smy20011/dreambooth-docker]
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
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.
Dreambooth-SD-optimized - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
memory_efficient_dreambooth vs stable-dreambooth-optimized
diffusers vs stable-diffusion-webui
memory_efficient_dreambooth vs Dreambooth-Stable-Diffusion-cpu
diffusers vs fast-stable-diffusion
memory_efficient_dreambooth vs efficient-dreambooth
diffusers vs A1111-Web-UI-Installer
memory_efficient_dreambooth vs fast-stable-diffusion
diffusers vs xformers
memory_efficient_dreambooth vs Dreambooth-Stable-Diffusion
diffusers vs efficient-dreambooth
diffusers vs Dreambooth-Stable-Diffusion
diffusers vs Dreambooth-SD-optimized