Showing 6 open source projects for "generative art"

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  • 1
    Perfect Pixel

    Perfect Pixel

    Refine and quantize messy AI pixel art into clean, perfect pixels

    perfectPixel is a workflow tool for turning messy “pixel-style” images, especially those produced by generative models, into truly grid-aligned pixel art that reads cleanly at any scale. It tackles a common problem with AI pixel art: edges that look pixelated at first glance but are not actually aligned to a coherent pixel grid, which causes shimmer, blur, and uneven block sizes when you zoom in. The tool analyzes an image to infer the intended grid size, then refines and quantizes the artwork so pixels snap into consistent cells and the final result looks crisp and intentional. ...
    Downloads: 1 This Week
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  • 2
    Dream Textures

    Dream Textures

    Stable Diffusion built-in to Blender

    Create textures, concept art, background assets, and more with a simple text prompt. Use the 'Seamless' option to create textures that tile perfectly with no visible seam. Texture entire scenes with 'Project Dream Texture' and depth to image. Re-style animations with the Cycles render pass. Run the models on your machine to iterate without slowdowns from a service. Create textures, concept art, and more with text prompts. Learn how to use the various configuration options to get exactly what...
    Downloads: 14 This Week
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  • 3
    glChAoS.P

    glChAoS.P

    3D GPUs Strange Attractors and Hypercomplex Fractals explorer

    ...The software includes extensive customization of rendering parameters, camera movement, and output formats, including support for VR and 360-degree panoramic videos. It’s widely used for both scientific visualization and generative art.
    Downloads: 0 This Week
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  • 4
    EnCodec

    EnCodec

    State-of-the-art deep learning based audio codec

    Encodec is a neural audio codec developed by Meta for high-fidelity, low-bitrate audio compression using end-to-end deep learning. Unlike traditional codecs (like MP3 or Opus), Encodec uses a learned quantizer and decoder to reconstruct complex waveforms with remarkable accuracy at bitrates as low as 1.5 kbps. It employs a convolutional encoder–decoder architecture trained with perceptual loss functions that optimize for human auditory quality rather than raw waveform distance. The model can...
    Downloads: 3 This Week
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  • 5
    generativeart

    generativeart

    Create Generative Art with R

    generativeart is an R package for creating algorithmic art by computing the positions of many thousands of points according to user-defined mathematical formulas with randomized parameters. Each render uses a seed to introduce controlled randomness, so every image is unique while remaining reproducible when the same seed and formula are reused. The package logs the seed, formula, and file name to a CSV, which makes it easy to catalog outputs, re-generate favorites, and track experiments. A...
    Downloads: 0 This Week
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  • 6
    konte
    Konte is a java-based scripting engine for generative art.
    Downloads: 0 This Week
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