Dreambooth-Stable-Diffusion
civitai
Dreambooth-Stable-Diffusion | civitai | |
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100 | 642 | |
3,213 | 6,557 | |
0.4% | 1.7% | |
6.8 | 10.0 | |
over 1 year ago | about 16 hours ago | |
Jupyter Notebook | TypeScript | |
MIT License | Apache License 2.0 |
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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?
civitai
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Top 13 Most-Starred Open Source Next.js Projects on GitHub ⭐
🔗 GitHub: https://github.com/civitai/civitai
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The Yoga of Image Generation – Part 1
The open availability of these models has fostered a dynamic and contributing ecosystem. A community has emerged around fine-tuned versions and additional models like Refiners, Upscalers, ControlNets, and Low-Rank Adapters (which will be introduced in this series). This vibrant community also offers tools like user-friendly interfaces to interact with the models (such as Automatic1111 Web UI or ComfyUI) and tools to aid the fine-tuning process, like Dreambooth or Kohya SS. Platforms like Hugging Face and civitai.com allow the community to share models, prompts, images, and tutorials.
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Ask HN: Well architected React and Node repos?
You can check out civitai's repo if you want smth for NextJS: https://github.com/civitai/civitai
Found it pretty useful for my usecase at least since most of my tech stack aligns with them, along with the component framework they use(Mantine)
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Washington's Lottery forced to pull site after creating AI porn of lotto user
I find it quite funny, especially if you realize that something like 90% of the Stable Diffusion model fine-tunes out there are actually made for generating porn or images of females. Go to the website that has the most image generation models to verify this for yourself: https://civitai.com
WARNING don't visit this site on your work computer.
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JavaScript Bloat in 2024
Remember The Website Obesity Crisis [1] article from 2015, since then [2] things only got worse, and it is been almost 10 years already (at the end of 2024).
Is it foolish to say that in 10 more years you wont be able to navigate the web on a circa 2015 PC ? If nothing changes seems like it.
My old macbook from 2013 with latest Firefox is already can not handle loading https://civitai.com web page with 23.98 MB of JavaScript, it is just hangs for half a minute while trying to render this disaster of web frontend.
[1] https://idlewords.com/talks/website_obesity.htm
[2] https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...
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Generate Unlimited AI Images for Free Online
One of the most popular free AI image generators right now is Civitai. Civitai uses a cutting-edge AI model to turn text prompts into photorealistic images in seconds.
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Ask HN: Those making $500/month on side projects in 2024 – Show and tell
Soz, I don't like to cross link my accounts, especially with all this TSWift shenanigans going around. But, if you look at https://civitai.com/ plenty of people have links to their ko-fi accounts where you can commission them (heck you may even find me somewhere on there).
- Google Imagen 2
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Help with finding an AI art site.
civitai.com ?
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Prompts?
all the samples images on models at https://civitai.com/ have prompts included. I used to have a bunch of sites that list prompts bookmarked, but I lost all my bookmarks recently :(
What are some alternatives?
Dreambooth-SD-optimized - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
huggingface_hub - The official Python client for the Huggingface Hub.
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
stable-diffusion-webui-colab - stable diffusion webui colab