Showing 4 open source projects for "jargs/gnu/cmdlineparser"

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  • 1
    Diffusion Bee

    Diffusion Bee

    Diffusion Bee is the easiest way to run Stable Diffusion locally

    Diffusion Bee is a user-friendly local application designed to make running the Stable Diffusion text-to-image generative model as simple as possible on macOS machines, including both Intel and Apple Silicon. It wraps Stable Diffusion and its dependencies into a one-click installer so users don’t need to manually install Python, drivers, or machine-learning frameworks to generate images. The app runs entirely on the local machine so images are created offline and no user data is sent to...
    Downloads: 24 This Week
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  • 2
    Stable Diffusion WebUI Forge

    Stable Diffusion WebUI Forge

    Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion

    Stable Diffusion WebUI Forge is a performance- and feature-oriented fork of the popular AUTOMATIC1111 interface that experiments with new backends, memory optimizations, and UX improvements. It targets heavy users and researchers who push large models, control nets, and high-resolution pipelines where default settings can become bottlenecks. The fork typically introduces toggles for scheduler behavior, attention implementations, caching, and precision modes to reach better speed or quality...
    Downloads: 7 This Week
    Last Update:
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  • 3
    pyllama

    pyllama

    LLaMA: Open and Efficient Foundation Language Models

    πŸ“’ pyllama is a hacked version of LLaMA based on original Facebook's implementation but more convenient to run in a Single consumer grade GPU.
    Downloads: 0 This Week
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  • 4
    Qwable-v1

    Qwable-v1

    Agentic coding model combining Opus reasoning and Fable tools

    Qwable-v1 is an open-weight agentic coding model created through a chained distillation process based on Qwen3.6-35B-A3B. The model combines two distinct training stages: first, it was fine-tuned on reasoning traces derived from Claude Opus 4.7 to improve structured reasoning, and then further trained on Claude Fable-5 agentic tool-use traces to develop autonomous coding and tool-calling behavior. The result is a 35B Mixture-of-Experts model with only 3B active parameters that can switch...
    Downloads: 0 This Week
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