Showing 7 open source projects for "stable-diffusion"

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  • 1
    Crush

    Crush

    The glamourous AI CLI coding agent for your favourite terminal 💘

    ...Built for portability, it offers first-class support across macOS, Linux, Windows (PowerShell and WSL), and BSD systems. Backed by the Charm ecosystem, Crush is a stable, actively maintained evolution of the original OpenCode project.
    Downloads: 44 This Week
    Last Update:
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  • 2
    Junie

    Junie

    An AI coding agent by JetBrains that ships code from your terminal

    ...The tool integrates with real-world development workflows and can assist across local projects, repositories, and automated GitHub processes. Developers can use Junie through multiple release channels, including stable, EAP, nightly, and experimental builds. Its focus on practical coding automation makes it a useful assistant for speeding up software development while fitting into existing tools and workflows.
    Downloads: 2 This Week
    Last Update:
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  • 3
    Dao Code

    Dao Code

    Open-source TypeScript terminal coding agent for DeepSeek-V4

    Dao Code is an open-source terminal-native AI coding assistant built around DeepSeek V4 and a cost-conscious agent architecture. It reads code, writes code, runs commands, fixes bugs, and streams tool usage inside the terminal. The project emphasizes byte-stable prompts, prefix-cache reuse, and low-cost reflection or memory forks so longer coding sessions can remain affordable. It also includes cross-session memory that verifies saved facts against the current codebase instead of blindly trusting old context. Dao Code supports approval gates, slash commands, skills, MCP tools, hooks, custom subagents, permissions, crash recovery, shadow-git checkpoints, and autonomous long-task mode. ...
    Downloads: 3 This Week
    Last Update:
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  • 4
    Mermaid.js to SVG Converter

    Mermaid.js to SVG Converter

    Visualize the diagrams of your projects

    While coding with AI assist, I noticed bigger projects need something more rigid as context so the AI coder doesn't stray away when I try to add new features. You know, to keeps its memory fresh and not change the stuff that already works. The trick is to ask the AI to write a diagram in Mermaid.js format that solidifies the structure of the project and then use that as context to keep the AI reminded at all times what the project is as a whole. This will prevent it from changing things...
    Downloads: 2 This Week
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  • 5
    Luna Code Checker

    Luna Code Checker

    An advanced web-based tool for checking JavaScript code using ESLint.

    Luna Code Checker An advanced web-based tool for checking JavaScript code using ESLint. How to Use Clone the repository. Run npm install to install the dependencies. Run npm start to start the server. Open http://localhost:3000 in your web browser. Write or paste your JavaScript code in the textarea. Click the "Check Code" button to see linting results. Features Comprehensive syntax and style checking using ESLint. Detailed error messages including line numbers and...
    Downloads: 0 This Week
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  • 6
    lastest

    lastest

    AI-supported visual verification and tests you can actually trust.

    Lastest.cloud is a free, open-source verification of development, self-hosted visual regression and end-to-end testing platform for web applications. An AI agent records you clicking through your running app and generates Playwright tests with multi-selector fallback. Replays are deterministic and token-free, so your CI/CD bill doesn't scale with your test suite. Lastest ships three diff engines side-by-side — pixel (pixelmatch), structural (SSIM), and perceptual (Butteraugli) — so...
    Downloads: 0 This Week
    Last Update:
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  • 7
    LongCat-2.0

    LongCat-2.0

    Trillion-parameter MoE model for coding and million-token reasoning

    ...It features 1.6 trillion total parameters with approximately 48 billion activated per token, combining high capability with efficient sparse inference. The model was pretrained on more than 35 trillion tokens and trained entirely on a large-scale cluster of domestically developed AI accelerators, demonstrating stable frontier-scale training without rollback events. LongCat-2.0 introduces LongCat Sparse Attention and extensive 1M-context training, enabling native processing of million-token inputs for long-document analysis, repository-scale coding, and complex multi-step reasoning. Dedicated post-training further strengthens coding and agent performance, producing competitive benchmark results against leading proprietary models.
    Downloads: 0 This Week
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