Analysis updated 2026-08-08 · repo last pushed 2023-05-02
Click through interactive notebooks to generate AI art, music, and animations directly in your browser.
Apply the visual style of one image to another using style transfer demos.
Explore text-to-image and text-to-video generation without setting up any coding environment.
| vision-cair/saai-factory-tutorial-creative-ai | 100/stock-analysis-markov | 100/tab-organizer | |
|---|---|---|---|
| Stars | 11 | 11 | 11 |
| Language | — | Java | JavaScript |
| Last pushed | 2023-05-02 | 2016-12-25 | 2021-03-01 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 3/5 | 1/5 |
| Audience | general | researcher | general |
Figures from each repo's GitHub metadata at analysis time.
No setup needed, all demos are links to Google Colab notebooks that run in your browser.
This repository is a companion to a tutorial called "Creative AI for Visual Art and Music," presented at the SAAI Factory symposium. It serves as a central hub linking to presentation slides and interactive demos that show how artificial intelligence can be used to create visual art, animations, and music. Think of it as a curated list of hands-on starting points for exploring creative AI. The repo itself does not contain code directly. Instead, it links out to Google Slides and Google Colab notebooks, which are interactive documents where you can run AI code in your browser without needing to install anything. The demos cover a range of creative techniques: style transfer (applying one image's style to another), image generation, and music generation. There are also demos for animating static images and generating video from text prompts. The project references well-known text-to-image tools like DALL-E 2, Midjourney, and Stable Diffusion. This collection would appeal to artists, musicians, hobbyists, or students curious about experimenting with generative AI but who may not want to set up complex coding environments. A founder or product manager exploring creative AI features could also use these demos to understand what is possible. Because each demo is a link to an interactive notebook, a beginner can simply click through and experiment with generating art or music. The README does not go into detail about the underlying technology or how the demos were built. It is purely a resource list. Its trade-off is simplicity over depth, it provides easy, clickable access to working demos but assumes you will explore the notebooks themselves to understand the mechanics behind each technique.
A curated list of links to interactive demos and slides from a creative AI tutorial, covering AI for visual art, animation, and music. No code to install, just click and experiment in your browser.
Dormant — no commits in 2+ years (last push 2023-05-02).
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.