a1111-sd-webui-tagcomplete
Dreambooth-Stable-Diffusion
a1111-sd-webui-tagcomplete | Dreambooth-Stable-Diffusion | |
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24 | 100 | |
2,435 | 3,170 | |
- | - | |
8.9 | 6.8 | |
13 days ago | 4 months ago | |
JavaScript | Jupyter Notebook | |
MIT License | MIT License |
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a1111-sd-webui-tagcomplete
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How do people get that prompt helper that shows suggestions when you type in some prompt keywords?
Do you mean this?
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Any prompt tag autocomplete plugin?
Is there a ComfyUI plugin like the tag autocomplete for a1111 which suggests keywords from a CSV file with danbooru and e621 tags?
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Please help, no lora button. Been searching for hours how to add or fix the issue. Just newly installed auto111 and stable diffusion.
I'm uve fixed the problem but here's an extension that really helps me get to Loras quickly: https://github.com/DominikDoom/a1111-sd-webui-tagcomplete
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ControlNet Reference-Only problems
https://github.com/ljleb/prompt-fusion-extension https://github.com/DominikDoom/a1111-sd-webui-tagcomplete https://github.com/adieyal/sd-dynamic-prompts https://github.com/yfszzx/stable-diffusion-webui-images-browser
- Exploring the new ControlNet inpaint model for architectural design - combining it with input sketch
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Adora and Catra Celebrate Pride (Catradora AI Art)
There's a lot of Automatic1111 extensions available. I would suggest you get at least Controlnet and Booru tag autocomplete. Their github pages include guides on how to set them up and how to use them.
- Ocean, Clouds, Space, Nebula mix
- How to get this prompt recommendation list?
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What are some of the best and the easiest to install modules for this? I got web ui. And I got some face restoration thing. (Apologies, I'm not very smart.)
a1111-sd-webui-tagcomplete: that helps to auto-complete the words you are typing
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Architectural design using Stable Diffusion and ControlNet
My bad sorry, was using a google colab notebook and had no idea it was installed.. it's an extension called tagcomplete: https://github.com/DominikDoom/a1111-sd-webui-tagcomplete
Dreambooth-Stable-Diffusion
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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?
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
Dreambooth-SD-optimized - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
sd-dynamic-prompts - A custom script for AUTOMATIC1111/stable-diffusion-webui to implement a tiny template language for random prompt generation
Stable-Diffusion-Regularization-Images - For use with fine-tuning, especially the current implementation of "Dreambooth".
unprompted - Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI.
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
sd-webui-cutoff - Cutoff - Cutting Off Prompt Effect
civitai - A repository of models, textual inversions, and more
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
stable-diffusion-webui-composable-lora - This extension replaces the built-in LoRA forward procedure.
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.