AI Art via Stable Diffusion and Google Colab
Taught by: Gennaro Schiano
Thursday 16th February 4pm UK, 5pm Berlin, 8am LA, 11am NYC
Learn how to generate AI art in the cloud via the Stable Diffusion algorithm and Google Colab notebooks
- Learn how to set up and run Google Colab notebooks in the cloud
- Explore machine learning and AI algorithms using Python code in your browser
- Run the popular text to image algorithm Stable Diffusion to create machine learning art
- Use open-source alternative to MidJourney and DALL-E platforms
- Execute basic Python and Bash commands with your browser to access an AI art generator on a Google cloud GPU
- Explore the vast landscape of ML & AI networks available on Colab
Level
Starts on: 16/02/2023 16:00 London time
Tribe start time
2023-02-16 16:00:00{{ distance }}
What you'll learn
- Run a cloud version of Discoart and Stable Diffusion using Google Colab
- Execute basic bash and python commands to generate AI art in the cloud
- Hack and deploy AI and machine learning notebooks running on cloud GPUs
- Begin to explore the Google Colab landscape of ML and AI notebooks for art
Course content
- Open the course in Zoom to access all the features
Buy this single course:
£ 30
Requirements
- A computer and internet connection
- A web cam and mic
- A Zoom account
- Chrome web browser
- Google account (i.e. G drive linked an email address)
- Huggingface.co account
- Jina.ai account (for saving training for discoart and recalling images)
Who is this course for
- Anyone who wants to get started with cloud computing and accessing ML & AI algorithms
- Visual artists who want to leverage free AI generation tools
Useful links
About the workshop leader
Gennaro Schiano is a multidimensional musician and artist playing a digital nomad in the current stem of reality. He is a three time Grammy winning recording/mixing Engineer, Zen practitioner and computer enthusiast/educator. He is researching new and interesting ways for independent artists to create their own economies and generate unique content in real time using the right amount of effort.
