#typescript #cancer_imaging_research #dicom #dicom_viewer #hacktoberfest #healthcare_imaging #image_analysis #imaging #imaging_informatics #javascript #medical #medical_image_processing #medical_imaging #nci_itcr #nci_qin #quantitative_imaging #reactjs
The OHIF Medical Imaging Viewer is a powerful tool for viewing medical images. It can load images from various sources and formats, and it supports 2D, 3D, and other advanced viewing options like volume rendering and segmentation. The viewer is highly customizable and extendable, allowing you to add new features as needed. It also supports internationalization, offline use, and user access control. The benefit to you is that it provides a flexible and robust platform for medical image analysis, tailored to your specific needs, with a strong community and extensive support resources.
https://github.com/OHIF/Viewers
The OHIF Medical Imaging Viewer is a powerful tool for viewing medical images. It can load images from various sources and formats, and it supports 2D, 3D, and other advanced viewing options like volume rendering and segmentation. The viewer is highly customizable and extendable, allowing you to add new features as needed. It also supports internationalization, offline use, and user access control. The benefit to you is that it provides a flexible and robust platform for medical image analysis, tailored to your specific needs, with a strong community and extensive support resources.
https://github.com/OHIF/Viewers
GitHub
GitHub - OHIF/Viewers: OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages - OHIF/Viewers
#python #ade20k #image_classification #imagenet #mask_rcnn #mscoco #object_detection #semantic_segmentation #swin_transformer
The Swin Transformer is a powerful tool for computer vision tasks like image classification, object detection, semantic segmentation, and video recognition. It uses a hierarchical structure with shifted windows to efficiently process images, making it more efficient than other models. Here are the key benefits Swin Transformer achieves state-of-the-art results in various tasks such as COCO object detection, ADE20K semantic segmentation, and ImageNet classification.
- **Efficiency** The model supports multiple tasks including image classification, object detection, instance segmentation, semantic segmentation, and video action recognition.
- **Improved Speed** The model is integrated into popular frameworks like Hugging Face Spaces and PaddleClas, making it easy to use and deploy.
Overall, the Swin Transformer offers high accuracy, efficiency, and versatility, making it a valuable tool for various computer vision applications.
https://github.com/microsoft/Swin-Transformer
The Swin Transformer is a powerful tool for computer vision tasks like image classification, object detection, semantic segmentation, and video recognition. It uses a hierarchical structure with shifted windows to efficiently process images, making it more efficient than other models. Here are the key benefits Swin Transformer achieves state-of-the-art results in various tasks such as COCO object detection, ADE20K semantic segmentation, and ImageNet classification.
- **Efficiency** The model supports multiple tasks including image classification, object detection, instance segmentation, semantic segmentation, and video action recognition.
- **Improved Speed** The model is integrated into popular frameworks like Hugging Face Spaces and PaddleClas, making it easy to use and deploy.
Overall, the Swin Transformer offers high accuracy, efficiency, and versatility, making it a valuable tool for various computer vision applications.
https://github.com/microsoft/Swin-Transformer
GitHub
GitHub - microsoft/Swin-Transformer: This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer…
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows". - microsoft/Swin-Transformer
#cplusplus #ai #api #audio_generation #distributed #gemma #gpt4all #image_generation #kubernetes #llama #llama3 #llm #mamba #mistral #musicgen #p2p #rerank #rwkv #stable_diffusion #text_generation #tts
LocalAI is a free, open-source alternative to OpenAI that you can run on your own computer or server. It allows you to generate text, images, and audio locally without needing a GPU. You can use it with various models and it supports multiple functionalities like text-to-audio, audio-to-text, and image generation. LocalAI is easy to set up using an installer script or Docker, and it has a user-friendly web interface. This tool is beneficial because it saves you money by not requiring cloud services and gives you full control over your data privacy. Plus, it's community-driven, so there are many resources and integrations available to help you get started and customize it to your needs.
https://github.com/mudler/LocalAI
LocalAI is a free, open-source alternative to OpenAI that you can run on your own computer or server. It allows you to generate text, images, and audio locally without needing a GPU. You can use it with various models and it supports multiple functionalities like text-to-audio, audio-to-text, and image generation. LocalAI is easy to set up using an installer script or Docker, and it has a user-friendly web interface. This tool is beneficial because it saves you money by not requiring cloud services and gives you full control over your data privacy. Plus, it's community-driven, so there are many resources and integrations available to help you get started and customize it to your needs.
https://github.com/mudler/LocalAI
GitHub
GitHub - mudler/LocalAI: :robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop…
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf,...
#python #artificial_intelligence #attention_mechanism #computer_vision #image_classification #transformers
This text describes a comprehensive implementation of Vision Transformers (ViT) in PyTorch, offering various models and techniques for image classification. Here’s the key information and benefits**
- The repository provides multiple ViT variants, including the original ViT, Simple ViT, NaViT, Deep ViT, CaiT, Token-to-Token ViT, CCT, Cross ViT, PiT, LeViT, CvT, Twins SVT, RegionViT, CrossFormer, ScalableViT, SepViT, MaxViT, NesT, MobileViT, XCiT, and others.
- Each variant introduces different architectural improvements such as efficient attention mechanisms, multi-scale processing, and innovative embedding techniques.
- The implementation includes pre-trained models and supports various tasks like masked image modeling, distillation, and self-supervised learning.
**Benefits** Users can choose from a wide range of ViT models tailored for different needs, such as efficiency, performance, or specific tasks.
- **Performance** Some models, like NaViT and ScalableViT, are designed to be more efficient in terms of computational resources and training time.
- **Ease of Use** The inclusion of various research ideas and techniques allows users to explore new approaches in vision transformer research.
Overall, this repository offers a powerful toolkit for anyone working with vision transformers, providing both practical solutions and cutting-edge research opportunities.
https://github.com/lucidrains/vit-pytorch
This text describes a comprehensive implementation of Vision Transformers (ViT) in PyTorch, offering various models and techniques for image classification. Here’s the key information and benefits**
- The repository provides multiple ViT variants, including the original ViT, Simple ViT, NaViT, Deep ViT, CaiT, Token-to-Token ViT, CCT, Cross ViT, PiT, LeViT, CvT, Twins SVT, RegionViT, CrossFormer, ScalableViT, SepViT, MaxViT, NesT, MobileViT, XCiT, and others.
- Each variant introduces different architectural improvements such as efficient attention mechanisms, multi-scale processing, and innovative embedding techniques.
- The implementation includes pre-trained models and supports various tasks like masked image modeling, distillation, and self-supervised learning.
**Benefits** Users can choose from a wide range of ViT models tailored for different needs, such as efficiency, performance, or specific tasks.
- **Performance** Some models, like NaViT and ScalableViT, are designed to be more efficient in terms of computational resources and training time.
- **Ease of Use** The inclusion of various research ideas and techniques allows users to explore new approaches in vision transformer research.
Overall, this repository offers a powerful toolkit for anyone working with vision transformers, providing both practical solutions and cutting-edge research opportunities.
https://github.com/lucidrains/vit-pytorch
GitHub
GitHub - lucidrains/vit-pytorch: Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with…
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch - lucidrains/vit-pytorch
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#python #annotation #annotation_tool #annotations #boundingbox #computer_vision #computer_vision_annotation #dataset #deep_learning #image_annotation #image_classification #image_labeling #image_labelling_tool #imagenet #labeling #labeling_tool #object_detection #pytorch #semantic_segmentation #tensorflow #video_annotation
CVAT is a powerful tool for annotating videos and images, especially useful for computer vision projects. It helps developers and companies annotate data quickly and efficiently. You can use CVAT online for free or subscribe for more features like unlimited data and integrations with other tools. It also offers a self-hosted option with enterprise support. CVAT supports many annotation formats and has automatic labeling options to speed up your work. It's widely used by many teams worldwide, making it a reliable choice for your data annotation needs.
https://github.com/cvat-ai/cvat
CVAT is a powerful tool for annotating videos and images, especially useful for computer vision projects. It helps developers and companies annotate data quickly and efficiently. You can use CVAT online for free or subscribe for more features like unlimited data and integrations with other tools. It also offers a self-hosted option with enterprise support. CVAT supports many annotation formats and has automatic labeling options to speed up your work. It's widely used by many teams worldwide, making it a reliable choice for your data annotation needs.
https://github.com/cvat-ai/cvat
GitHub
GitHub - cvat-ai/cvat: Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams…
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. - cvat-ai/cvat
#python #auto_regressive_model #autoregressive_models #diffusion_models #generative_ai #generative_model #gpt #gpt_2 #image_generation #large_language_models #neurips #transformers #vision_transformer
VAR (Visual Autoregressive Modeling) is a new way to generate images that improves upon existing methods. It uses a "next-scale prediction" approach, which means it generates images from coarse to fine details, unlike the traditional method of predicting pixel by pixel. This makes VAR models better than diffusion models for the first time. You can try VAR on a demo website and generate images interactively, which is fun and easy. VAR also follows power-law scaling laws, making it efficient and scalable. The benefit to you is that you can create high-quality images quickly and easily, and even explore technical details through provided scripts and models.
https://github.com/FoundationVision/VAR
VAR (Visual Autoregressive Modeling) is a new way to generate images that improves upon existing methods. It uses a "next-scale prediction" approach, which means it generates images from coarse to fine details, unlike the traditional method of predicting pixel by pixel. This makes VAR models better than diffusion models for the first time. You can try VAR on a demo website and generate images interactively, which is fun and easy. VAR also follows power-law scaling laws, making it efficient and scalable. The benefit to you is that you can create high-quality images quickly and easily, and even explore technical details through provided scripts and models.
https://github.com/FoundationVision/VAR
GitHub
GitHub - FoundationVision/VAR: [NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official…
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Predi...
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#python #3d_creation #3d_generation #aigc #diffusion_models #generative_model #image_to_3d
DreamCraft3D is a method to create highly detailed and realistic 3D objects using a combination of 2D reference images and advanced algorithms. It ensures that the 3D objects look consistent from all angles and have realistic textures. This is achieved by using a special technique called "Bootstrapped Score Distillation" which improves both the shape and texture of the 3D object in a way that reinforces each other. The benefit to the user is that they can generate very realistic 3D models quickly and accurately, which can be useful for various applications such as video games, movies, and architectural design.
https://github.com/deepseek-ai/DreamCraft3D
DreamCraft3D is a method to create highly detailed and realistic 3D objects using a combination of 2D reference images and advanced algorithms. It ensures that the 3D objects look consistent from all angles and have realistic textures. This is achieved by using a special technique called "Bootstrapped Score Distillation" which improves both the shape and texture of the 3D object in a way that reinforces each other. The benefit to the user is that they can generate very realistic 3D models quickly and accurately, which can be useful for various applications such as video games, movies, and architectural design.
https://github.com/deepseek-ai/DreamCraft3D
GitHub
GitHub - deepseek-ai/DreamCraft3D: [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped…
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior - deepseek-ai/DreamCraft3D
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#python #image_processing #ocr #pdf #python #tesseract
OCRmyPDF is a tool that makes scanned PDF files searchable and editable. It adds a text layer to the PDF, so you can search for words or copy and paste text from the document. It supports many languages, fixes misrotated or crooked pages, and optimizes the file size. The tool works on various operating systems like Linux, Windows, and macOS, and it uses multiple CPU cores to speed up the process. This makes it easier to work with scanned documents and keeps your files organized and searchable.
https://github.com/ocrmypdf/OCRmyPDF
OCRmyPDF is a tool that makes scanned PDF files searchable and editable. It adds a text layer to the PDF, so you can search for words or copy and paste text from the document. It supports many languages, fixes misrotated or crooked pages, and optimizes the file size. The tool works on various operating systems like Linux, Windows, and macOS, and it uses multiple CPU cores to speed up the process. This makes it easier to work with scanned documents and keeps your files organized and searchable.
https://github.com/ocrmypdf/OCRmyPDF
GitHub
GitHub - ocrmypdf/OCRmyPDF: OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched - ocrmypdf/OCRmyPDF
#kotlin #aes_256 #android #background_removal #clean_architecture #crop #djvu #edit_photo #exif #f_droid #filter_image #image_manipulation #jetpack_compose #jxl #kotlin #material_you #ocr_recognition #pdf #psd #qrcode_scanner #watermark
Image Toolbox is a powerful and versatile image editing tool that lets you do many things with your photos. You can crop, apply over 230 different filters, edit EXIF data, remove backgrounds, and even convert images to PDFs. It also allows you to add stickers and text, extract text from images in over 120 languages, and encrypt files with AES-256 encryption. You can resize images using various scaling algorithms, convert between multiple image formats, and create collages. The app also supports GIF, WEBP, APNG, and JXL conversions, document scanning, QR code scanning and creation, and more. It has a simple interface but offers many advanced features, making it useful for both photographers and developers.
https://github.com/T8RIN/ImageToolbox
Image Toolbox is a powerful and versatile image editing tool that lets you do many things with your photos. You can crop, apply over 230 different filters, edit EXIF data, remove backgrounds, and even convert images to PDFs. It also allows you to add stickers and text, extract text from images in over 120 languages, and encrypt files with AES-256 encryption. You can resize images using various scaling algorithms, convert between multiple image formats, and create collages. The app also supports GIF, WEBP, APNG, and JXL conversions, document scanning, QR code scanning and creation, and more. It has a simple interface but offers many advanced features, making it useful for both photographers and developers.
https://github.com/T8RIN/ImageToolbox
GitHub
GitHub - T8RIN/ImageToolbox: 🖼️ Image Toolbox is a powerful app for advanced image manipulation. It offers dozens of features,…
🖼️ Image Toolbox is a powerful app for advanced image manipulation. It offers dozens of features, from basic tools like crop and draw to filters, OCR, and a wide range of image processing options -...
#go #automation #c #go #golang #hook #image #mouse #opencv #robot #robotgo #rpa #window
Robotgo is a tool that helps automate tasks on your computer using the Go programming language. It can control the mouse and keyboard, capture screenshots, and work with windows. This means you can use it to automatically do things like scrolling, clicking, or typing text. Robotgo works on Windows, Mac, and Linux systems, making it very versatile. Using Robotgo can save time by automating repetitive tasks, allowing you to focus on more important things.
https://github.com/go-vgo/robotgo
Robotgo is a tool that helps automate tasks on your computer using the Go programming language. It can control the mouse and keyboard, capture screenshots, and work with windows. This means you can use it to automatically do things like scrolling, clicking, or typing text. Robotgo works on Windows, Mac, and Linux systems, making it very versatile. Using Robotgo can save time by automating repetitive tasks, allowing you to focus on more important things.
https://github.com/go-vgo/robotgo
GitHub
GitHub - go-vgo/robotgo: RobotGo, Go Native cross-platform RPA, GUI automation, Auto test and Computer use @vcaesar
RobotGo, Go Native cross-platform RPA, GUI automation, Auto test and Computer use @vcaesar - go-vgo/robotgo
#jupyter_notebook #cnn #colab #colab_notebook #computer_vision #deep_learning #deep_neural_networks #fourier #fourier_convolutions #fourier_transform #gan #generative_adversarial_network #generative_adversarial_networks #high_resolution #image_inpainting #inpainting #inpainting_algorithm #inpainting_methods #pytorch
LaMa is a powerful tool for removing objects from images. It uses special techniques called Fourier Convolutions, which help it understand the whole image at once. This makes it very good at filling in large areas that are missing. LaMa can even work well with high-resolution images, even if it was trained on smaller ones. This means you can use it to fix photos where objects are in the way, making them look natural and complete again.
https://github.com/advimman/lama
LaMa is a powerful tool for removing objects from images. It uses special techniques called Fourier Convolutions, which help it understand the whole image at once. This makes it very good at filling in large areas that are missing. LaMa can even work well with high-resolution images, even if it was trained on smaller ones. This means you can use it to fix photos where objects are in the way, making them look natural and complete again.
https://github.com/advimman/lama
GitHub
GitHub - advimman/lama: 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022 - advimman/lama
#python #3d #3d_aigc #3d_generation #diffusion_models #hunyuan3d #image_to_3d #shape #shape_generation #text_to_3d #texture_generation
Hunyuan3D 2.0 is a powerful tool that creates detailed 3D models with textures in two steps: first building the shape, then adding colors and materials. It works efficiently on standard computers (as low as 5GB VRAM for basic models) and offers multiple ways to use it, like coding, Blender plugins, or online demos, making it accessible for creating game-ready 3D assets, VR/AR content, or custom designs without needing advanced hardware.
https://github.com/Tencent/Hunyuan3D-2
Hunyuan3D 2.0 is a powerful tool that creates detailed 3D models with textures in two steps: first building the shape, then adding colors and materials. It works efficiently on standard computers (as low as 5GB VRAM for basic models) and offers multiple ways to use it, like coding, Blender plugins, or online demos, making it accessible for creating game-ready 3D assets, VR/AR content, or custom designs without needing advanced hardware.
https://github.com/Tencent/Hunyuan3D-2
GitHub
GitHub - Tencent-Hunyuan/Hunyuan3D-2: High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models. - Tencent-Hunyuan/Hunyuan3D-2
#python #diffusion_models #dit #image_to_video #image_to_video_generation #text_to_video #text_to_video_generation
LTX-Video is a powerful AI model that creates high-quality, realistic videos in real time, running faster than you can watch them. It can generate videos from text descriptions, images, or existing videos, and supports advanced features like keyframe animation and video extension. You can use it online or run it locally with easy setup. It offers great control over video details, smooth motion, and works well even on consumer hardware. This helps you quickly create custom videos for storytelling, social media, or prototyping, saving time and boosting creativity with detailed, lifelike results[2][4][5].
https://github.com/Lightricks/LTX-Video
LTX-Video is a powerful AI model that creates high-quality, realistic videos in real time, running faster than you can watch them. It can generate videos from text descriptions, images, or existing videos, and supports advanced features like keyframe animation and video extension. You can use it online or run it locally with easy setup. It offers great control over video details, smooth motion, and works well even on consumer hardware. This helps you quickly create custom videos for storytelling, social media, or prototyping, saving time and boosting creativity with detailed, lifelike results[2][4][5].
https://github.com/Lightricks/LTX-Video
GitHub
GitHub - Lightricks/LTX-Video: Official repository for LTX-Video
Official repository for LTX-Video. Contribute to Lightricks/LTX-Video development by creating an account on GitHub.
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#python #comfyui #diffusion_models #dit #image_to_video #image_to_video_generation #text_to_image #text_to_image_generation
ComfyUI-LTXVideo is a tool that helps create high-quality videos from images using AI. It offers features like key frame control, improved video quality, and faster generation speeds. This means you can make smooth videos with fewer errors and more control over how they look. It also supports commercial use, so you can use the videos for business projects. The tool is designed to work well with consumer-grade GPUs, making it accessible to more users. Overall, it helps you create professional-looking videos quickly and easily.
https://github.com/Lightricks/ComfyUI-LTXVideo
ComfyUI-LTXVideo is a tool that helps create high-quality videos from images using AI. It offers features like key frame control, improved video quality, and faster generation speeds. This means you can make smooth videos with fewer errors and more control over how they look. It also supports commercial use, so you can use the videos for business projects. The tool is designed to work well with consumer-grade GPUs, making it accessible to more users. Overall, it helps you create professional-looking videos quickly and easily.
https://github.com/Lightricks/ComfyUI-LTXVideo
GitHub
GitHub - Lightricks/ComfyUI-LTXVideo: LTX-Video Support for ComfyUI
LTX-Video Support for ComfyUI. Contribute to Lightricks/ComfyUI-LTXVideo development by creating an account on GitHub.
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#python #ai #ai_art #art #asset_generator #chatbot #deep_learning #desktop_app #image_generation #mistral #multimodal #privacy #pygame #pyside6 #python #self_hosted #speech_to_text #stable_diffusion #text_to_image #text_to_speech #text_to_speech_app
AI Runner is a tool that lets you use AI on your own computer without needing the internet. It can do many things like **voice chatbots**, **text-to-image** generation, and **image editing**. You can also make AI personalities for more interesting conversations. It runs fast and securely, keeping your data private. To use AI Runner, you need a good computer with a strong GPU, like an NVIDIA RTX 3060 or better. This helps keep your data safe and makes AI tasks faster.
https://github.com/Capsize-Games/airunner
AI Runner is a tool that lets you use AI on your own computer without needing the internet. It can do many things like **voice chatbots**, **text-to-image** generation, and **image editing**. You can also make AI personalities for more interesting conversations. It runs fast and securely, keeping your data private. To use AI Runner, you need a good computer with a strong GPU, like an NVIDIA RTX 3060 or better. This helps keep your data safe and makes AI tasks faster.
https://github.com/Capsize-Games/airunner
GitHub
GitHub - Capsize-Games/airunner: Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated…
Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows - Capsize-Games/airunner
#python #face_animation #image_animation #video_editing #video_generation
LivePortrait is a tool that uses AI to animate still photos, making them look like videos. It works by identifying key facial features and adding realistic movements. This technology helps create lifelike videos that can be used for personalized communication. The benefit to users is that they can easily create engaging animated portraits from static images, which can be fun and useful for various applications like social media or storytelling.
https://github.com/KwaiVGI/LivePortrait
LivePortrait is a tool that uses AI to animate still photos, making them look like videos. It works by identifying key facial features and adding realistic movements. This technology helps create lifelike videos that can be used for personalized communication. The benefit to users is that they can easily create engaging animated portraits from static images, which can be fun and useful for various applications like social media or storytelling.
https://github.com/KwaiVGI/LivePortrait
GitHub
GitHub - KlingTeam/LivePortrait: Bring portraits to life!
Bring portraits to life! Contribute to KlingTeam/LivePortrait development by creating an account on GitHub.
#typescript #alternative #converter #data_manipulation #developer_tools #devtools #frontend #good_first_issue #image_manipulation #image_processing #javascript #pdf_manipulation #productivity #react #self_hosted #swissarmyknife #tools #typescript #video_manipulation #webapp #website
OmniTools is a self-hosted web app that helps with many tasks like image and video editing, number crunching, and more. It offers tools for resizing images, converting videos, calculating dates, and generating prime numbers. You can run it on your own computer using Docker, which means your data stays local. This app is open-source and free, allowing you to contribute new features or tools easily. Using OmniTools simplifies many everyday tasks and keeps your data private.
https://github.com/iib0011/omni-tools
OmniTools is a self-hosted web app that helps with many tasks like image and video editing, number crunching, and more. It offers tools for resizing images, converting videos, calculating dates, and generating prime numbers. You can run it on your own computer using Docker, which means your data stays local. This app is open-source and free, allowing you to contribute new features or tools easily. Using OmniTools simplifies many everyday tasks and keeps your data private.
https://github.com/iib0011/omni-tools
GitHub
GitHub - iib0011/omni-tools: Self-hosted collection of powerful web-based tools for everyday tasks. No ads, no tracking, just fast…
Self-hosted collection of powerful web-based tools for everyday tasks. No ads, no tracking, just fast, accessible utilities right from your browser! - iib0011/omni-tools
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#rust #2d_graphics #art #compositor #design #graphic_design #graphics_editor #image_generation #image_manipulation #image_processing #node_editor #node_graph #photo_editing #photo_editor #procedural #procedural_art #procedural_drawing #svg_editor #vector_editor
Graphite is a free, open-source 2D graphics editor that combines vector and raster tools with a unique hybrid workflow using layers and nodes. It lets you create detailed vector art and designs with nondestructive editing, meaning you can change your work anytime without losing quality. The node-based system offers powerful, flexible control like visual programming, while the layer system keeps things simple and familiar. This makes it easy to create complex graphics, animations, and effects all in one tool. Graphite is still evolving but aims to be a versatile, all-in-one creative platform accessible to everyone, helping you unleash your artistic potential efficiently[1][2][4].
https://github.com/GraphiteEditor/Graphite
Graphite is a free, open-source 2D graphics editor that combines vector and raster tools with a unique hybrid workflow using layers and nodes. It lets you create detailed vector art and designs with nondestructive editing, meaning you can change your work anytime without losing quality. The node-based system offers powerful, flexible control like visual programming, while the layer system keeps things simple and familiar. This makes it easy to create complex graphics, animations, and effects all in one tool. Graphite is still evolving but aims to be a versatile, all-in-one creative platform accessible to everyone, helping you unleash your artistic potential efficiently[1][2][4].
https://github.com/GraphiteEditor/Graphite
GitHub
GitHub - GraphiteEditor/Graphite: Open source comprehensive 2D content creation tool suite for graphic design, digital art, and…
Open source comprehensive 2D content creation tool suite for graphic design, digital art, and interactive real-time motion graphics — featuring node-based procedural editing - GraphiteEditor/Graphite
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