FaceFusion
Industry leading face manipulation platform
ImaginAIry ist ein Open-Source-Projekt aus der Kategorie Video von brycedrennan (brycedrennan/imaginAIry auf GitHub). Es hat 8.189 Sterne auf GitHub und 470 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 24. Februar 2026 auf GitHub aktualisiert.
Pythonic AI generation of images and videos
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/brycedrennan/imaginAIry.git
cd imaginAIryIsolate 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 brycedrennan/imaginAIry with 470 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
Flatkey media generation CLI for images, videos, audio, text, credits, and model discovery.
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaV…
Translate videos end to end - speech recognition, translated subtitles and dubbing in one app
Die anderen Projekte der Kategorie Video mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls ImaginAIry nicht das Richtige ist.
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…
Verwandte Projekte der Kategorie Video im Katalog, die ImaginAIry bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
A lean, fast video generator tuned to squeeze big results out of modest GPUs.
A general-purpose AIGC video engine that takes a script to a finished film in one pipeline.
An agent skill that turns Claude Code or Codex into a motion-design studio for cinematic product videos.
An end-to-end production workspace for AI-generated short dramas. From script input to structured storyboarding, consistency management,…
Official repository for LTX-Video
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…
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.