Showing 5 open source projects for "example"

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  • 1
    Stable Diffusion WebUI Docker

    Stable Diffusion WebUI Docker

    Easy Docker setup for Stable Diffusion with user-friendly UI

    ...It integrates leading community UIs like AUTOMATIC1111 and ComfyUI into a Docker Compose setup that can be started with a single command, abstracting away dependency installation and environment configuration. Users can choose which UI profile they want to run — for example, full feature AUTOMATIC1111, CPU-only automatic builds, or ComfyUI workflows — and launch them in a consistent, isolated container environment with automatic model and data caching. The project supports mounting data and output directories so generated images and configurations persist outside the container, and it lets developers customize UI behavior through Docker Compose override files.
    Downloads: 5 This Week
    Last Update:
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  • 2
    website-to-gif

    website-to-gif

    Turn your website into a GIF

    ...In your GitHub repo, create a workflow file or extend an existing one. You have to also include a step to checkout and commit to the repo. You can use the following example gif.yml. Make sure to modify the url value and add any other input you want to use. WebP rendering will take a lot of time to benefit from lossless quality and file size optimization.
    Downloads: 7 This Week
    Last Update:
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  • 3
    FLUX.1 Krea

    FLUX.1 Krea

    Powerful open source image generation model

    ...FLUX.1 Krea is fully compatible with the FLUX.1 architecture, making it easy to integrate into existing workflows and pipelines. The repository offers easy-to-use inference scripts and a Jupyter Notebook example to facilitate quick experimentation and adoption. Users can run the model locally after downloading weights from Hugging Face and benefit from a live demo available on krea.ai.
    Downloads: 2 This Week
    Last Update:
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  • 4
    texturize

    texturize

    Generate photo-realistic textures based on source images

    ...It's useful in the context of computer graphics if you want to make variations on a theme or expand the size of an existing texture. This software is powered by deep learning technology, using a combination of convolution networks and example-based optimization to synthesize images. We're building texturize as the highest-quality open source library available! The examples are available as notebooks, and you can run them directly in-browser thanks to Jupyter and Google Colab.
    Downloads: 1 This Week
    Last Update:
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  • 5
    Deep Exemplar-based Video Colorization

    Deep Exemplar-based Video Colorization

    The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"

    ...Experiments show our result is superior to the state-of-the-art methods both quantitatively and qualitatively. In order to colorize your own video, it requires to extract the video frames, and provide a reference image as an example.
    Downloads: 0 This Week
    Last Update:
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