FaceFusion
Industry leading face manipulation platform
Jellyfish es un proyecto de vídeo de código abierto de Forget-C (Forget-C/Jellyfish en GitHub). Tiene 6.599 estrellas en GitHub y 1.134 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 30 de julio de 2026.
An end-to-end production workspace for AI-generated short dramas. From script input to structured storyboarding, consistency management,…
Generation, restoration, upscaling, face swap, or lip sync — each project here specializes, so start from the job to be done.
Download the model files the project needs; most READMEs link exact versions and where to place them.
Python environments or Docker images are the norm — follow the install section for your GPU.
Feed in prompts or source media, tune the settings, and re-run until the result lands.
Real model files you download and run — no API key, no per-second billing.
Everything happens on your machine; footage never uploads anywhere.
Each tool focuses on one job and does it well, instead of a shallow all-in-one.
Many of these ship alongside papers and keep absorbing new techniques.
Shared settings, presets, and integrations (especially around ComfyUI) multiply what one tool can do.
Several use permissive licenses — always confirm the model license for your use case.
Download the source and move into the project folder.
git clone https://github.com/Forget-C/Jellyfish.git
cd JellyfishIsolate dependencies so nothing clashes with your other projects.
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activateInstall the requirements, then follow the README's launch command (it varies per project).
pip install -r requirements.txtIt varies widely — upscalers run on modest cards, while full video diffusion wants serious VRAM. Check each project's docs.
Often yes for the code, but model weights carry their own licenses — read both.
It is an open-source project at Forget-C/Jellyfish with 1,134 forks. Check the repo's contributors and recent commits to see how active maintenance is.
The gap keeps shrinking; for restoration and upscaling, open tools already match or beat paid ones.
Some do via MPS or CPU, but NVIDIA on Linux/Windows is the best-supported path.
GitHub issues and Discussions on each repo, plus Discord communities for the popular ones.
Industry leading face manipulation platform
Bring portraits to life!
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018
A fully automated short-video engine: script, images, voiceover and edit — generated end to end
An AI-native video production workspace for Claude Code: script, voice, visuals, music, and MP4 render.
PRINTFILM turns scripts and topics into finished AI short videos and animated short dramas
Los demás proyectos de Vídeo con más estrellas del catálogo de LibreAI: la lista realista de alternativas si Jellyfish no es lo que buscas.
A feature-rich command-line audio/video downloader
real time face swap and one-click video deepfake with only a single image
OBS Studio - Free and open source software for live streaming and screen recording
Mirror of https://git.ffmpeg.org/ffmpeg.git
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your A…
Proyectos de Vídeo cercanos en el catálogo, los más próximos en estrellas a Jellyfish: sigue explorando a ambos lados.
A general-purpose AIGC video engine that takes a script to a finished film in one pipeline.
OpenShot Video Editor is an award-winning free and open-source video editor for Linux, Mac, and Windows, and is dedicated to delivering high quality video ed…
Pythonic AI generation of images and videos
Open-source video compositing software. Node-graph based. Similar in functionalities to Adobe After Effects and Nuke by The Foundry.
A lean, fast video generator tuned to squeeze big results out of modest GPUs.
PRINTFILM turns scripts and topics into finished AI short videos and animated short dramas
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.