Showing 4 open source projects for "software without code"

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    MongoDB Atlas runs apps anywhere

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  • 1
    Wan2.2

    Wan2.2

    Wan2.2: Open and Advanced Large-Scale Video Generative Model

    Wan2.2 is a major upgrade to the Wan series of open and advanced large-scale video generative models, incorporating cutting-edge innovations to boost video generation quality and efficiency. It introduces a Mixture-of-Experts (MoE) architecture that splits the denoising process across specialized expert models, increasing total model capacity without raising computational costs. Wan2.2 integrates meticulously curated cinematic aesthetic data, enabling precise control over lighting,...
    Downloads: 94 This Week
    Last Update:
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  • 2
    LTX-2

    LTX-2

    Python inference and LoRA trainer package for the LTX-2 audio–video

    ...While being low-level, it also provides sensible defaults and helper abstractions that reduce boilerplate and help teams maintain clear, maintainable code.
    Downloads: 31 This Week
    Last Update:
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  • 3
    Story Flicks

    Story Flicks

    Generate high-definition story short videos with one click using AI

    Story Flicks is another open-source project in the AI-assisted video generation / editing space, focused on creating short, story-style videos from script or prompt inputs. It aims to let users generate high-definition short movies or video stories with minimal manual effort, using AI models under the hood to assemble visuals, timing, and possibly narration or subtitles. For creators who want to produce narrative short-form content — whether for social media, storytelling, or prototyping...
    Downloads: 1 This Week
    Last Update:
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  • 4
    DeepFaceLab

    DeepFaceLab

    The leading software for creating deepfakes

    DeepFaceLab is currently the world's leading software for creating deepfakes, with over 95% of deepfake videos created with DeepFaceLab. DeepFaceLab is an open-source deepfake system that enables users to swap the faces on images and on video. It offers an imperative and easy-to-use pipeline that even those without a comprehensive understanding of the deep learning framework or model implementation can use; and yet also provides a flexible and loose coupling structure for those who want to strengthen their own pipeline with other features without having to write complicated boilerplate code.
    Downloads: 119 This Week
    Last Update:
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