Showing 4 open source projects for "video processing"

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    SeedVR2 Upscaler ComfyUI

    SeedVR2 Upscaler ComfyUI

    Official SeedVR2 Video Upscaler for ComfyUI

    ...The underlying SeedVR2 model is known for delivering high-quality video enhancement with strong temporal consistency and improved detail preservation by using diffusion-based techniques that are trained specifically on video sequences. Within the ComfyUI ecosystem, the upscaler integrates with existing nodes and pipelines, making it easier to combine with other processing steps such as denoising, color correction, or format conversion.
    Downloads: 17 This Week
    Last Update:
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  • 2
    Warlock-Studio

    Warlock-Studio

    Suite with Real-ESRGAN, BSRGAN , RealESRNet, IRCNN, GFPGAN & RIFE.

    v5.1.1. Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos. the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads. It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system...
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    Downloads: 19 This Week
    Last Update:
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  • 3
    ESRM

    ESRM

    Un "Screen Recorder" codificado 100% con AI, escrito en python.

    🎥 Effect Screen Recorder Master (ESRM) ESRM es un programa para grabación de pantalla con efectos visuales en tiempo real, hecho 100% con chat GPT, está escrito en python y con interfaz gráfica en Custom Tkinter, se usa FFMPEG para realizar las grabaciones (en cualquier caso, debe instalar FFMPEG y añadirlo al PATH). Está escrito en python v3.12.8, pero está disponible desde las 3.11.6 y superiores. Usa CustomTkinter para una interfaz moderna y ffmpeg para realizar las grabaciones en...
    Downloads: 0 This Week
    Last Update:
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  • 4
    VSGAN

    VSGAN

    VapourSynth Single Image Super-Resolution Generative Adversarial

    Single Image Super-Resolution Generative Adversarial Network (GAN) which uses the VapourSynth processing framework to handle input and output image data. Transform, Filter, or Enhance your input video, or the VSGAN result with VapourSynth, a Script-based NLE. You can chain models or re-run the model twice-over (or more). Have low VRAM? Don’t worry! The Network will be applied in quadrants of the image to reduce up-front VRAM usage.
    Downloads: 0 This Week
    Last Update:
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