Vídeo
moviepy
Video editing with Python
★ 14,9 mil estrelasMIT
Ver o guia →Awesome-World-Models é um projeto de vídeo de código aberto de leofan90 (leofan90/Awesome-World-Models no GitHub). Tem 2.032 estrelas no GitHub e 80 forks, é publicado sob a licença BSD-3-Clause e foi atualizado pela última vez no GitHub em 28 de setembro de 2026.
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, i…
Generation, editing, conversion, or capture — match the tool to the job; most of these do one stage brilliantly.
Desktop builds, Docker images, and package-manager installs cover every major OS.
Drop in clips, images, or audio; AI tools may need a model download on first run.
Render to standard formats (MP4, WebM, GIF) ready for any platform.
Neural models do the heavy lifting behind a simple interface.
Standard containers and codecs — no lock-in, no proprietary projects.
Hardware encoding and CUDA/Metal paths keep renders fast.
Scriptable pipelines chew through folders of clips unattended.
Timelines, keyframes, and effects that rival paid suites.
Text-to-video and image-to-video models turn prompts into motion.
Download the source and move into the project folder.
git clone https://github.com/leofan90/Awesome-World-Models.git
cd Awesome-World-ModelsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at leofan90/Awesome-World-Models with 80 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under BSD-3-Clause — check the repo for commercial-use terms.
AI generation benefits hugely from one; editors and converters run fine on modest hardware.
Yes — exports carry no watermark and the open licenses let you monetize your work.
For most creator workflows, yes. High-end collaborative post-production still favors the big suites.
Video editing with Python
The ultimate collection of high-fidelity Seedance 2.0 prompts and Seedance AI resources. Discover Seedance 2.0 how to use for cinematic film, anime, UGC, soc…
A custom node set for Video Frame Interpolation in ComfyUI.
Time-lapse video generation that simulates how the world changes.
The benchmark suite for evaluating AI video generation models.
Research model enforcing 3D constraints in text-to-video generation.
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Mirror of https://git.ffmpeg.org/ffmpeg.git
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.