Showing 4 open source projects for "serial key generator"

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  • 1
    AI Logo Generator

    AI Logo Generator

    A free + OSS logo generator powered by Flux on Together AI

    AI Logo Generator is an open-source AI logo generator that lets you create professional-looking logos in seconds from a simple text prompt. It uses the Flux Pro 1.1 model hosted on Together AI to generate logos, so the heavy lifting is done by a state-of-the-art image model while the app focuses on UX and workflow. The project is built with Next.js and TypeScript, and it uses shadcn/ui plus Tailwind CSS for a modern, responsive interface that feels like a polished SaaS product rather than a demo. ...
    Downloads: 4 This Week
    Last Update:
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  • 2
    WanGP

    WanGP

    AI video generator optimized for low VRAM and older GPUs use

    Wan2GP is an open source AI video generation toolkit designed to make modern generative models accessible on consumer-grade hardware with limited GPU memory. It acts as a unified interface for running multiple video, image, and audio generation models, including Wan-based models as well as other systems like Hunyuan Video, Flux, and Qwen. A key focus of the project is reducing VRAM requirements, enabling some workflows to run on as little as 6 GB while still supporting older Nvidia and...
    Downloads: 22 This Week
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  • 3
    Corporate Bullshit Generator

    Corporate Bullshit Generator

    A high-performance random text generator focused on corporate bullshit

    The Corporate Bullshit Generator is a best-in-class, high-performance random text generator that is focused on corporate bullshit. It is able to produce, per second, 1000 A4 full pages of inspired sentences like "Our turn-key branding strategy drives corporate, scalable, wide-ranging and profit-oriented idiosyncratic incentives." Online app: visit ----> https://tinyurl.com/y3d6wyd6 .
    Downloads: 5 This Week
    Last Update:
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  • 4
    InfoGAN

    InfoGAN

    Code for reproducing key results in the paper

    The InfoGAN repository contains the original implementation used to reproduce the results in the paper “InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets”. InfoGAN is a variant of the GAN (Generative Adversarial Network) architecture that aims to learn disentangled and interpretable latent representations by maximizing the mutual information between a subset of the latent codes and the generated outputs. That extra incentive encourages the...
    Downloads: 0 This Week
    Last Update:
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