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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.
Track-Anything: a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.
3 projects | reddit.com/r/StableDiffusion | 25 Apr 2023
Nvm just found the occlusion video on https://github.com/hkchengrex/XMem holy shit
[D] Most important AI Paper´s this year so far in my opinion + Proto AGI speculation at the end
10 projects | reddit.com/r/MachineLearning | 14 Aug 2022
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model ( Added because of the Atkinson-Shiffrin Memory Model ) Paper: https://arxiv.org/abs/2207.07115 Github: https://github.com/hkchengrex/XMem
[D] Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
10 projects | reddit.com/r/MachineLearning | 6 Aug 2022
Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
10 projects | reddit.com/r/learnmachinelearning | 2 Aug 2022
I trained a neural net to watch Super Smash Bros
3 projects | reddit.com/r/computervision | 25 Jul 2022
Yeah MiVOS would speed up your tagging a lot. I also was curious if you saw XMem which just came out. I found that worked really well too.
[R] Unicorn: 🦄 : Towards Grand Unification of Object Tracking(Video Demo)
2 projects | reddit.com/r/MachineLearning | 18 Jul 2022
Have you check XMem?
I've been collecting millions of images of only public domain /cc0 licensing. I'd like to train a stable diffusion model on the collection. Could some one share their knowledge of what this would take? Otherwise, simply enjoy my library.
5 projects | reddit.com/r/StableDiffusion | 21 Feb 2023
CompVis/latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models (github.com)
Run Clip on iPhone to Search Photos
3 projects | news.ycombinator.com | 6 Feb 2023
The "retrieval based model" refers to https://github.com/CompVis/latent-diffusion#retrieval-augmen..., which uses ScaNN to train a knn embedding searcher.
Class Action Lawsuit filed against Stable Diffusion and Midjourney.
2 projects | reddit.com/r/StableDiffusion | 14 Jan 2023
Stability is basically https://github.com/CompVis/latent-diffusion + training data.
[D] Influential papers round-up 2022. What are your favorites?
5 projects | reddit.com/r/MachineLearning | 3 Jan 2023
Found relevant code at https://github.com/CompVis/latent-diffusion + all code implementations here
Can anyone explain differences between sampling methods and their uses to me in simple terms, because all the info I've found so far is either very contradicting or complex and goes over my head
2 projects | reddit.com/r/StableDiffusion | 9 Dec 2022
DDIM and PLMS were the original samplers. They were part of Latent Diffusion's repository. They stand for the papers that introduced them, Denoising Diffusion Implicit Models and Pseudo Numerical Methods for Diffusion Models on Manifolds.
[Hobby Scuffles] Week of October 10, 2022
2 projects | reddit.com/r/HobbyDrama | 11 Oct 2022
Auto refuses to comply, and explains that the code he wrote is based upon research and development that was done quite some time ago already and is open-source. The function in question was published on December 21, 2021 here: https://github.com/CompVis/latent-diffusion/commit/e66308c7f2e64cb581c6d27ab6fbeb846828253b. But that is in fact still not the original source. The original source code was published on On August 3, 2021 here: https://github.com/lucidrains/perceiver-pytorch. The original code's license allows commercial use, so nobody is wrong for using it. The license can be read here: https://github.com/lucidrains/perceiver-pytorch/blob/main/LICENSE.
Creators of AI Art generator exclude Automatic1111 when his work eclipses their own in popularity. Appearing to be moving to /r/sdforall (+2000 users in 8 hours). Automatic1111's windows install supports features unpopular with the original authors that are ultimately open source (sources below).
2 projects | reddit.com/r/SubredditDrama | 11 Oct 2022
AUTOMATIC111 Code reference
6 projects | reddit.com/r/StableDiffusion | 9 Oct 2022
So am I. Latent Diffusion.6 projects | reddit.com/r/StableDiffusion | 9 Oct 2022
Recent announcement from Emad
11 projects | reddit.com/r/StableDiffusion | 8 Oct 2022
What are some alternatives?
dalle-mini - DALL·E Mini - Generate images from a text prompt
hent-AI - Automation of censor bar detection
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
stable-diffusion - A latent text-to-image diffusion model
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
glid-3-xl - 1.4B latent diffusion model fine tuning
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality