jaaz
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Basic Information
This repository provides Jaaz, an open-source multimodal creative assistant intended as a privacy‚Äëfocused, local‚Äëfirst alternative to Canva and similar cloud design tools. It bundles a UI and server components to let users generate and edit images and videos, build visual storyboards on an infinite canvas, and use AI agents to insert objects or control scene logic. The project supports both local model workflows and cloud APIs, and includes instructions for local builds. The repo targets designers, content creators, and teams who want rapid one‚Äëprompt generation, sketch‚Äëbased editing, and the option to run or host processing locally for privacy and enterprise deployments.
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App Details
Features
One‚Äëprompt image and video generation that turns a single instruction into finished media, with auto‚Äëoptimized prompts and multi‚Äëturn refinement. Support for multiple model backends including GPT‚Äë4o, Midjourney, VEO3 and other listed engines. Magic Canvas and Magic Video tools for prompt‚Äëfree, sketch‚Äëdriven creation and stepwise video generation. Infinite Canvas and visual storyboarding with linked layouts, media management and real‚Äëtime collaboration. Smart AI agent system for chat‚Äëbased insertion, style transfer and multi‚Äëcharacter coherence, compatible with local ComfyUI and cloud models. Flexible deployment supporting fully offline or hybrid setups, built‚Äëin media and prompt libraries, cross‚Äëplatform Windows and macOS support, and local‚Äëfirst privacy features.
Use Cases
Jaaz speeds up creative workflows by letting users generate high‚Äëquality images and videos from a single prompt or by sketching directly on a canvas, reducing the need for manual prompt engineering. The infinite canvas and storyboard tools help plan scenes and sequence media visually, while the AI agent chat enables quick edits, object placement and style transfers. Local and hybrid deployment options preserve data privacy and allow offline or enterprise installations. Cross‚Äëplatform desktop builds and provided manual install/development steps make it possible to run Jaaz locally. The project also supports team and private deployments for enterprise use and provides a path to use low‚Äëcost API models when desired.
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