Search Results for "visual-mingw"
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234 projects for "visual-mingw" with 2 filters applied:
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1D Visual Tokenization and Generation
This repo contains the code for 1D tokenizer and generator
The 1D Visual Tokenization and Generation project from ByteDance introduces a novel “one-dimensional” tokenizer designed for images: instead of representing images with large grids of 2D tokens (as in many prior generative/image-modeling systems), it compresses images into as few as 32 discrete tokens (or more, optionally) — thereby achieving a very compact, efficient representation that drastically speeds up generation and reconstruction while retaining strong fidelity. -
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DeepSeek-OCR 2
Visual Causal Flow
DeepSeek-OCR-2 is the second-generation optical character recognition system developed to improve document understanding by introducing a “visual causal flow” mechanism, enabling the encoder to reorder visual tokens in a way that better reflects semantic structure rather than strict raster scan order. It is designed to handle complex layouts and noisy documents by giving the model causal reasoning capabilities that mimic human visual scanning behavior, enhancing OCR performance on documents with rich spatial structure. ... -
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Ian Xiaohei Illustrations
Chinese Little Black Weird Text Illustration Generation Skill
Ian Xiaohei Illustrations is a Codex Skill for generating distinctive hand-drawn illustrations for Chinese articles, posts, blogs, Notion documents, and methodology content. It is centered on the “Xiaohei” visual character and turns abstract ideas, judgments, metaphors, and workflows into clear editorial images. The skill is not a generic illustration prompt pack, because it gives AI agents a specific visual system to follow. Its default style uses a 16:9 white-background composition with rough hand-drawn lines and small red, orange, or blue annotation marks. ... -
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DESIGN.md
A format specification for describing a visual identity
design.md is an open specification created by Google Labs that defines a standardized way to describe design systems for AI coding agents. It allows developers to encode visual identity elements such as colors, typography, spacing, and components in a structured format. The file combines machine-readable design tokens with human-readable explanations, enabling agents to generate consistent user interfaces aligned with a brand. By providing persistent design context, it eliminates the need to repeatedly describe styling requirements to AI tools. ... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Graphify
AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw)
...The architecture emphasizes flexibility, enabling users to customize how data is mapped and displayed. It may also include analytical features to explore patterns, clusters, or anomalies within the graph. Overall, Graphify serves as a bridge between raw data and visual insight. -
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CC Workflow Studio
Accelerate Claude Code/GitHub Copilot
CC Workflow Studio is a powerful Visual Studio Code extension that accelerates AI-assisted development by providing a visual workflow editor tailored for AI automation and agent orchestration, particularly with tools like Claude Code, GitHub Copilot, OpenAI Codex, and others. The extension lets developers and creators design complex AI workflows using intuitive drag-and-drop canvases or via conversational AI commands, blending graphical editing with natural language refinement. ... -
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ComfyUI-LTXVideo
LTX-Video Support for ComfyUI
ComfyUI-LTXVideo is a bridge between ComfyUI’s node-based generative workflow environment and the LTX-Video multimedia processing framework, enabling creators to orchestrate complex video tasks within a visual graph paradigm. Instead of writing code to apply effects, transitions, edits, and data flows, users can assemble nodes that represent video inputs, transformations, and outputs, letting them prototype and automate video production pipelines visually. This integration empowers non-programmers and rapid-iteration teams to harness the performance of LTX-Video while maintaining the clarity and flexibility of a dataflow graph model. ... -
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InternGPT
Open source demo platform where you can easily showcase your AI models
InternGPT is an open-source multimodal AI framework designed to extend large language models beyond text interactions into visual reasoning and image manipulation tasks. The system integrates conversational AI with computer vision models so users can interact with images, videos, and visual environments through natural language instructions. Unlike traditional chat systems that rely solely on text prompts, InternGPT allows users to interact with visual content using both language and nonverbal signals such as pointing or highlighting objects within images. ... -
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InternLM-XComposer-2.5
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System
...It incorporates visual understanding modules that allow the model to analyze images and integrate them into coherent narrative outputs. The framework also supports tasks such as image captioning, multimodal reasoning, and layout generation for structured visual documents. By combining language generation with visual composition capabilities, the system enables new forms of content creation that integrate written explanations with automatically generated visual components. -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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WeChatMsg
Project aimed at extracting, exporting, and analyzing chat records
...It provides tools that read local WeChat database files and allow users to convert chat data into readable formats such as HTML, Word, and CSV, making it possible to inspect conversations outside the mobile app environment. Beyond simple export, the project includes mechanisms for analyzing chat histories and generating annual reports or visual summaries about messaging trends, interaction patterns, and more. The original README communicates a guiding philosophy about owning personal data and using it responsibly to train personalized AI agents or preserve memories. Although the repository has seen periods of inactivity and may not receive frequent updates, its widespread use indicates community interest in preserving chat logs and understanding conversation data outside of the WeChat interface. -
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Puck
Open source visual editor for building React drag-and-drop pages
Puck is an open source visual editor designed for React applications that enables developers to build customizable drag-and-drop page editing experiences. It allows teams to create their own page builders by defining React components that can be arranged and configured through a visual interface. Puck is component-based and configuration-driven, meaning developers specify how components render and which editable fields control their properties. -
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Skywork-R1V4
Skywork-R1V is an advanced multimodal AI model series
Skywork-R1V is an open-source multimodal reasoning model designed to extend the capabilities of large language models into vision-language tasks that require complex logical reasoning. The project introduces a model architecture that transfers the reasoning abilities of advanced text-based models into visual domains so the system can interpret images and perform multi-step reasoning about them. Instead of retraining both language and vision models from scratch, the framework uses a lightweight visual projection layer that connects a pretrained vision backbone with a reasoning-capable language model. This design allows the model to analyze images while maintaining strong textual reasoning performance, enabling tasks such as solving visual math problems, interpreting scientific diagrams, and answering questions about images. -
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LLM Vision
Visual intelligence for your home.
...The project enables Home Assistant to analyze images, video files, and live camera feeds using vision-capable AI models. Instead of relying only on traditional object detection pipelines, it allows users to send prompts about visual content and receive contextual descriptions or answers about what is happening in camera footage. The system can process events from surveillance platforms such as Frigate and convert them into meaningful summaries, notifications, or structured data for automation workflows. It also maintains a timeline of analyzed camera events that can be displayed in dashboards or queried through the assistant interface. -
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ComfyUI-3D-Pack
An extensive node suite that enables ComfyUI to process 3D inputs
...It incorporates modern 3D generation technologies including neural radiance fields, Gaussian splatting, and other AI-driven reconstruction techniques. Through these nodes, users can convert images into 3D models, manipulate geometry, and experiment with generative 3D workflows inside the visual pipeline editor. -
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SAM 3
Code for running inference and finetuning with SAM 3 model
SAM 3 (Segment Anything Model 3) is a unified foundation model for promptable segmentation in both images and videos, capable of detecting, segmenting, and tracking objects. It accepts both text prompts (open-vocabulary concepts like “red car” or “goalkeeper in white”) and visual prompts (points, boxes, masks) and returns high-quality masks, boxes, and scores for the requested concepts. Compared with SAM 2, SAM 3 introduces the ability to exhaustively segment all instances of an open-vocabulary concept specified by a short phrase or exemplars, scaling to a vastly larger set of categories than traditional closed-set models. ... -
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GalTransl
Automated translation solution for visual novels
GalTransl is an automated translation system specifically designed for visual novels, particularly those in the “galgame” genre, leveraging large language models to streamline and enhance the translation process. It integrates support for multiple advanced LLM providers such as GPT-4, Claude, DeepSeek, and other models, enabling high-quality, context-aware translations that go beyond traditional machine translation approaches. -
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OpenClaw Office
OpenClaw Office is the visual monitoring and management frontend
...Users can observe communication flows between agents through visual connections, track token usage and operational costs, and analyze performance through integrated dashboards and charts. The system also includes live chat capabilities, allowing users to monitor conversations and tool calls as they occur. -
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effective-html
Agent skill for elegant and simple html plans, architecture diagrams
...The skill emphasizes strong visual structure, high-quality SVG use, minimal prose, and deliverables that can be opened, shared, or annotated. It is useful for teams that want AI agents to produce clearer visual explanations instead of plain text planning documents. -
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Moondream
Tiny vision language model
...It serves as both a playground for the author’s artistic curiosity and a resource for other creative coders interested in generative art techniques. The repository may include shaders, canvas/WebGL code, visual demos, and utilities that demonstrate how mathematical functions or noise patterns can be harnessed for compelling visuals. -
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Guizang Social Card Skill
Claude Code / Codex skill — generate Xiaohongshu carousels
Guizang Social Card Skill is an AI-agent skill for generating polished social image packages in a Guizang-inspired visual style. It is designed for formats such as Xiaohongshu or Rednote carousels, WeChat Official Account covers, article covers, product update graphics, thumbnails, and screenshot-heavy posts. The skill turns articles, scripts, screenshots, product notes, subtitles, or photos into structured social card outputs. It supports editorial magazine layouts and Swiss-style visual systems, giving agents rules for typography, spacing, covers, and page rhythm. ... -
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LTX-2.3
Official Python inference and LoRA trainer package
...Unlike most earlier video generation systems that only produced silent clips, LTX-2 combines video and audio generation in a unified architecture capable of producing coherent audiovisual scenes. The model uses a diffusion-transformer-based architecture designed to generate high-fidelity visual frames while simultaneously producing corresponding audio elements such as speech, music, ambient sound, or effects. This unified approach allows creators to generate complete multimedia sequences where motion, timing, and sound are aligned automatically. LTX-2 is designed for both research and production workflows and can generate high-resolution video clips with precise control over structure, motion, and camera behavior. -
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Smart Excalidraw
A smart, powerful, and beautiful excalidraw drawing tool
Smart Excalidraw Next is an AI-powered diagramming tool that allows users to generate professional-quality visual diagrams directly from natural language descriptions, combining generative AI with the flexibility of the Excalidraw canvas. It leverages large language models to interpret user input and automatically produce structured diagrams such as flowcharts, architecture diagrams, ER diagrams, and mind maps with logical layouts and clean visual organization. -
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ClaudeBar
A macOS menu bar application that monitors AI coding assistant usage
...Rather than constantly running CLI commands or navigating web dashboards, users can glance at their quota statistics for services like Claude, Codex, Gemini, GitHub Copilot, and Antigravity directly from the menu bar. The application provides real-time tracking of session, weekly, and model-specific usage percentages, using visual indicators such as color-coded progress bars to communicate when quotas are healthy, nearing limits, or depleted. It includes options to enable or disable monitoring for individual providers, supports multiple visual themes (including dark mode and a festive theme), and refreshes data at configurable intervals so users always have up-to-date information. -
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Qwen-Image-Layered
Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
Qwen-Image-Layered is an extension of the Qwen series of multimodal models that introduces layered image understanding, enabling the model to reason about hierarchical visual structures — such as separating foreground, background, objects, and contextual layers within an image. This architecture allows richer semantic interpretation, enabling use cases such as scene decomposition, object-level editing, layered captioning, and more fine-grained multimodal reasoning than with flat image encodings alone. ... -
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StarVector
StarVector is a foundation model for SVG generation
...The system treats vector graphics creation as a code generation problem, producing SVG code that can render detailed vector images. Its architecture combines computer vision techniques with language modeling capabilities so it can understand visual inputs and textual prompts simultaneously. The model converts raster images or text instructions into structured vector representations, enabling high-quality vectorization and design generation. This approach allows StarVector to create scalable graphics that maintain visual quality regardless of resolution, which is especially useful for design tools and illustration workflows. ...
