CLIP
memories
CLIP | memories | |
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103 | 82 | |
22,209 | 2,782 | |
6.3% | - | |
1.2 | 9.9 | |
18 days ago | 5 days ago | |
Jupyter Notebook | Vue | |
MIT License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
CLIP
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How to Cluster Images
We will also need two more libraries: OpenAI’s CLIP GitHub repo, enabling us to generate image features with the CLIP model, and the umap-learn library, which will let us apply a dimensionality reduction technique called Uniform Manifold Approximation and Projection (UMAP) to those features to visualize them in 2D:
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Show HN: Memories, FOSS Google Photos alternative built for high performance
Biggest missing feature for all these self hosted photo hosting is the lack of a real search. Being able to search for things like "beach at night" is a time saver instead of browsing through hundreds or thousands of photos. There are trained neural networks out there like https://github.com/openai/CLIP which are quite good.
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Zero-Shot Prediction Plugin for FiftyOne
In computer vision, this is known as zero-shot learning, or zero-shot prediction, because the goal is to generate predictions without explicitly being given any example predictions to learn from. With the advent of high quality multimodal models like CLIP and foundation models like Segment Anything, it is now possible to generate remarkably good zero-shot predictions for a variety of computer vision tasks, including:
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A History of CLIP Model Training Data Advances
(Github Repo | Most Popular Model | Paper | Project Page)
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NLP Algorithms for Clustering AI Content Search Keywords
the first thing that comes to mind is CLIP: https://github.com/openai/CLIP
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How to Build a Semantic Search Engine for Emojis
Whenever I’m working on semantic search applications that connect images and text, I start with a family of models known as contrastive language image pre-training (CLIP). These models are trained on image-text pairs to generate similar vector representations or embeddings for images and their captions, and dissimilar vectors when images are paired with other text strings. There are multiple CLIP-style models, including OpenCLIP and MetaCLIP, but for simplicity we’ll focus on the original CLIP model from OpenAI. No model is perfect, and at a fundamental level there is no right way to compare images and text, but CLIP certainly provides a good starting point.
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COMFYUI SDXL WORKFLOW INBOUND! Q&A NOW OPEN! (WIP EARLY ACCESS WORKFLOW INCLUDED!)
in the modal card it says: pretrained text encoders (OpenCLIP-ViT/G and CLIP-ViT/L).
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Stability Matrix v1.1.0 - Portable mode, Automatic updates, Revamped console, and more
Command: "C:\StabilityMatrix\Packages\stable-diffusion-webui\venv\Scripts\python.exe" -m pip install https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip --prefer-binary
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[D] LLM or model that does image -> prompt?
CLIP might work for your needs.
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Where can this be used? I have seen some tutorials to run deepfloyd on Google colab. Any way it can be done on local?
pip install deepfloyd_if==1.0.2rc0 pip install xformers==0.0.16 pip install git+https://github.com/openai/CLIP.git --no-deps pip install huggingface_hub --upgrade
memories
- Show HN: Memories, FOSS Google Photos alternative built for high performance
- Google Photos Replacement
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Self-hosted Web Image Gallery
Nextcloud with the "memories"-app. Works great and really snappy with 25k+ photos. Plus you have Nextcloud so file-sharing, calendar, etc. Installation is easy with Docker AIO. see https://memories.gallery for a demo
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Immich - Self-hosted photos and videos backup solution from your mobile phone (AKA Google Photos replacement you have been waiting for!) - June 2023 Update - Initial support for existing galleries (read-only mode), memories feature, XMP sidecar support, and more 🎉
Might want to look into https://github.com/pulsejet/memories , which is a nextcloud app
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Memories slow movie viewing (regardless of network speed), sharing issues
This is a known issue in the latest Memories release and will be fixed in the next release: https://github.com/pulsejet/memories/issues/620
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Help installing Memories, cannot run occ memories:index (Permission denied error)
I was able to install Memories through the app store, and as per Configuration page, was able to successfully run occ memories:places-setup
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Yet another Google Photos replacement post
I'll be honest in that I don't know if this meets all your requirements but I saw this a few weeks back: https://github.com/pulsejet/memories
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Setting up a photos backup server
Set up Nextcloud on it with https://github.com/pulsejet/memories.
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So how do you share your photos?
The third option is to have separate photo libraries and just share albums with each other. But this option will not allow you to see your partner's photos from the shared albums in your timeline =( At least yet.
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Appreciation post: Memories nextcloud is just fantastic
Does anyone know, How does search work and what kind of search terms are supported? I was looking here https://memories.gallery/ but could not find anything particular.
What are some alternatives?
open_clip - An open source implementation of CLIP.
immich - High performance self-hosted photo and video management solution.
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
photoprism - Personal Photo Management powered by Go and Google TensorFlow
disco-diffusion
photos - 📸 Your memories under your control
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
all-in-one - 📦 The official Nextcloud installation method. Provides easy deployment and maintenance with most features included in this one Nextcloud instance.
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
foss_photo_libraries - Free and Open Source Photo Libraries