A1111-Web-UI-Installer
Complete installer for Automatic1111's infamous Stable Diffusion WebUI (by EmpireMediaScience)
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. (by JoePenna)
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| A1111-Web-UI-Installer | Dreambooth-Stable-Diffusion | |
|---|---|---|
| 86 | 100 | |
| 1,813 | 3,162 | |
| 0.9% | - | |
| 3.3 | 6.8 | |
| 8 months ago | 4 months ago | |
| PowerShell | Jupyter Notebook | |
| - | MIT License |
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.
A1111-Web-UI-Installer
Posts with mentions or reviews of A1111-Web-UI-Installer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-29.
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SDXL is super sluggish on A1111?
GitHub - EmpireMediaScience/A1111-Web-UI-Installer: Complete installer for Automatic1111's infamous Stable Diffusion WebUI
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How do i get started with stable diffusion
You can use this launcher it will do everything for you, you just need to choice where to install it and wether you want to download the base model or not
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A1111 UI complete installers for Windows?
I've been out of the loop for a bit, and it seems that the web installer I ran the last time is not being updated anymore. Are there any other updated installers for Windows that will set up everything that people are using now?
- i want to start
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which AI is this?
Or this https://github.com/EmpireMediaScience/A1111-Web-UI-Installer seems like a simplified installer that might do the installation mostly for you. I have never tried it, so you are on your own with that. Be sure to read the whole page before attempting installation.
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How can I install DPM++ 2M SDE Karras?
I'm always install by this link: https://github.com/EmpireMediaScience/A1111-Web-UI-Installer/releases
- how the fuck do i install automatic1111
- Error completing request
- To all my haters .
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According to the poll on the recent thread, /r/dalle2 community decided to keep the subreddit restricted on Reddit.
This is a good place to start reading. Given the open-source nature of SD, there are setups of various difficulty available. A1111 is the "standard" people enjoy because it's easy to plug in new stuff (ControlNet, new models, etc.), but it's not inherently easy to set up and get going. There is an installer for it, but I haven't tried it.
Dreambooth-Stable-Diffusion
Posts with mentions or reviews of Dreambooth-Stable-Diffusion.
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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Will there be comprehensive tutorials for fine-tuning SD XL when it comes out?
Tons of stuff here, no? https://github.com/JoePenna/Dreambooth-Stable-Diffusion/
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Useful Links
Joe Penna's Dreambooth (Tutorial|24GB) Most popular DB repo with great results.
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Dreambooth / Custom Training / Model - what's the state of the art?
1) The https://github.com/JoePenna/Dreambooth-Stable-Diffusion instructions say to use the 1.5 checkpoints - is that the latest? Can I use the 2+ models or?
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My Experience with Training Real-Person Models: A Summary
I quickly turned to the second library, https://github.com/JoePenna/Dreambooth-Stable-Diffusion, because its readme was very encouraging, and its results were the best. Unfortunately, to use it on Colab, you need to sign up for Colab Pro to use advanced GPUs (at least 24GB of VRAM), and training a model requires at least 14 compute units. As a poor Chinese person, I could only buy Colab Pro from a proxy. The results from JoePenna/Dreambooth-Stable-Diffusion were fantastic, and the preparation was straightforward, requiring only <=20 512*512 photos without writing captions. I used it to create many beautiful photos.
- I Used Stable Diffusion and Dreambooth to Create an Art Portrait of My Dog
- training
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Training a model on Iwanaga Kotoko (from in/spectre), which step do you guys think the model is at its best?
I've found EveryDream to be brilliant and have switched from JoePenna's Dreambooth because I've found I get better results so long as I provide good captions for all the images, even if preparing the dataset takes 3x as long (took me 2 hours to crop and label the 54 images).
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Dreambooth training results for face, object and style datasets with various prior regularization settings.
From what I know you can train with whatever size you want. But you need software that will support it. For example, ShivamShrirao/diffusers repo seems to allow a change of dimension. Also, you need HW that would support the training, because bigger images need more VRAM, for example,Joe Penna repo is using ~23GB with 512x512px so probably it's not a valid option. But the ShivamShrirao repo has optimizations that allow to run it with less VRAM.
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Starting to get quite good results with Dreambooth. What do you think? (Follow @RokStrnisa on Twitter for more.)
This is a good starting place: https://github.com/JoePenna/Dreambooth-Stable-Diffusion
- I'm a N00b with training stuff. Trying to get runpod with Dreambooth training some images (80 total) and I'm getting this error. Help?
What are some alternatives?
When comparing A1111-Web-UI-Installer and Dreambooth-Stable-Diffusion you can also consider the following projects:
stable-diffusion-webui - Stable Diffusion web UI
Dreambooth-SD-optimized - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
Stable-Diffusion-Regularization-Images - For use with fine-tuning, especially the current implementation of "Dreambooth".
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
civitai - A repository of models, textual inversions, and more
OnnxDiffusersUI - UI for ONNX based diffusers
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
A1111-Web-UI-Installer vs stable-diffusion-webui
Dreambooth-Stable-Diffusion vs Dreambooth-SD-optimized
A1111-Web-UI-Installer vs InvokeAI
Dreambooth-Stable-Diffusion vs Stable-Diffusion-Regularization-Images
A1111-Web-UI-Installer vs stable-diffusion-ui
Dreambooth-Stable-Diffusion vs civitai
A1111-Web-UI-Installer vs OnnxDiffusersUI
Dreambooth-Stable-Diffusion vs stable-diffusion-webui
A1111-Web-UI-Installer vs diffusers
Dreambooth-Stable-Diffusion vs InvokeAI
A1111-Web-UI-Installer vs civitai
Dreambooth-Stable-Diffusion vs fast-stable-diffusion