Search Results for "z-image"
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Showing 11 open source projects for "z-image"
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Get full visibility and control over your tasks and projects with Wrike.Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
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Securden Privileged Account ManagerDiscover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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koishi-plugin-novelai
Koishi plugin for NovelAI image generation with advanced controls
A Koishi-based plugin that enables image generation through NovelAI, designed for chat-driven workflows and flexible prompt control. It supports multiple configuration options, including model switching, sampler selection, and adjustable image sizes, giving users control over output quality and style. It includes advanced prompt syntax to refine results and allows automatic translation of Chinese keywords to improve usability across languages. -
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civitai
Open platform for sharing and discovering Stable Diffusion models
Civitai is an open source project that provides the codebase for a platform designed to share and manage generative AI models used for image generation. It focuses primarily on models compatible with Stable Diffusion and related technologies, allowing creators to upload, organize, and distribute custom AI models and related resources. These resources can include textual inversions, hypernetworks, aesthetic gradients, and variational autoencoders that modify or extend the capabilities of diffusion-based image generation systems. ... -
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ALLWEONE
AI tool that generates custom presentations with real-time editing
...You can define slide count, language, and tone, then review or edit the AI-generated outline before finalising. Slides are built in real time, allowing you to watch content develop as the system works. Presentation AI by ALLWEONE includes image generation, rich text editing, and drag-and-drop functionality for easy adjustments. It also supports presentation mode, so you can present directly within the app. Built with modern technologies like Next.js, React, and Tailwind CSS, it integrates AI services such as OpenAI for content generation. It is fully open source under the MIT licence, making it suitable for developers who want to customise or extend its capabilities. -
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Harbor LLM
Run a full local LLM stack with one command using Docker
...Harbor supports multiple inference engines, including llama.cpp and vLLM, and connects them seamlessly to user interfaces. It also includes tools for web retrieval, image generation, voice interaction, and workflow automation. Built on Docker, Harbor allows services to run in isolated containers while communicating over a local network. It is intended for local development and experimentation rather than production deployment, giving developers a flexible way to explore AI systems, test configurations, and manage complex LLM stacks without manual wiring or setup overhead. -
The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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5
Jaaz
Open source multimodal creative AI assistant with infinite canvas tool
Jaaz is an open source multimodal creative assistant designed to help users generate and organize visual media using artificial intelligence. It functions as a creative workspace where images, videos, and visual storyboards can be produced and arranged on an infinite canvas environment. It combines AI agents with visual editing tools, allowing users to generate media through prompts, sketches, or simple instructions. Jaaz supports multiple AI models and can integrate both local and... -
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Redoc
OpenAPI/Swagger-generated API Reference Documentation
Redoc is an open source tool for generating documentation from OpenAPI (formerly Swagger) definitions. With Redoc, you can generate beautiful API documentation from OpenAPI. Redoc is provided as a CLI tool (also distributed as a Docker image), HTML tag, and React component. If you have Node installed, quickly generate documentation using npx. Open the HTML file in your browser, and your API documentation is shown on the page. Redoc is highly configurable. Redoc offers OpenAPI specification extensions. -
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Generative AI for Beginners (Version 3)
21 Lessons, Get Started Building with Generative AI
...Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals. The course covers everything from model selection, prompt engineering, and chat/text/image app patterns to secure development practices and UX for AI. It also walks through modern application techniques such as function calling, RAG with vector databases, working with open source models, agents, fine-tuning, and using SLMs. Each lesson includes a short video, a written guide, runnable samples for Azure OpenAI, the GitHub Marketplace Model Catalog, and the OpenAI API, plus a “Keep Learning” section for deeper study. -
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ComfyUI-Copilot
AI assistant for ComfyUI workflow generation, debugging, and tuning
...It functions as a custom node integrated directly into the ComfyUI environment, allowing users to interact with workflows through natural language and intelligent suggestions. ComfyUI-Copilot focuses on reducing the complexity of building node-based pipelines for generative AI tasks such as image generation, making it more accessible to both beginners and experienced users. It supports the entire workflow lifecycle, including generation, debugging, rewriting, and parameter optimization, helping users iterate more efficiently. ComfyUI-Copilot leverages large language model capabilities to analyze user intent, recommend nodes, and suggest models that match specific requirements. ... -
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RuoYi AI
Enterprise AI platform for building, deploying, and managing apps
RuoYi AI is a full-stack enterprise-oriented AI development platform designed to help developers rapidly build, deploy, and manage intelligent applications using modern large language models and AI ecosystems. It provides a unified framework for integrating multiple AI models from different providers, allowing teams to switch or combine models through a consistent interface without vendor lock-in. RuoYi AI includes built-in support for retrieval-augmented generation, enabling organizations... -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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10
OpenPromptStudio
Visual editor for AI prompts with translation, categories, and tools
OpenPromptStudio is an open source visual editor designed to help users create, organize, and manage prompts for AI image generation tools. It focuses on improving the workflow for building prompts by turning them into structured, visual components that are easier to edit and rearrange. It supports the creation and classification of prompt segments, allowing users to organize them into different types such as styles, quality modifiers, commands, or general prompt elements. -
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Framelink MCP for Figma
MCP server enabling AI coding tools to access Figma design data
Figma-Context-MCP is an open source server that connects Figma design data with AI-powered coding tools through the Model Context Protocol (MCP). It allows coding assistants to retrieve structured information from Figma files so they can better translate visual designs into working code. Instead of relying on screenshots or manual descriptions, Figma-Context-MCP accesses layout, styling, and component metadata directly from the Figma API and presents it in a simplified format optimized for...
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