Creative Coding
AI Art via Stable Diffusion and Google Colab
Generate AI images with Stable Diffusion in Google Colab, covering Colab basics, machine-learning pipelines, text-to-image setup, installation and running inference from your own prompts.
Course overview
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
Learning outcomes
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
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
Requirements
- • Chrome web browser to run Google Colab
- • Google account
- • Huggingface.co account (optional)
- • Jina.ai account for saving training for discoart and recalling images (optional)
Course content
Course materials
1 lesson
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Course materials
1 lesson
Google Colab project ready to go
Follow the step-by-step project to set up the environment and get started prompting AI images from Stable Diffusion
https://colab.research.google.com/drive/1C3wmPmLgSsPwf0eSrnVoHIxBUNabjm6S?usp=sharing
Reference copy of the project's notebook
https://colab.research.google.com/drive/1zeSsALRHUv5un6L75lUoaxNLz2_HyMEh?usp=sharing
How to use miniconda in Google Colab (example file useful to understand the processes above)
https://colab.research.google.com/drive/1C_CQ9gIluQOEOeaVQ3SrF5nOiR3jFHQ1
AI art via Stable Diffusion and Google Colab
20 videos
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AI art via Stable Diffusion and Google Colab
20 videos
1. Introduction
Checking access...2. Intro by AIG
Checking access...3. Finding your focus
Checking access...4. Introduction to Google Colab
Checking access...5. What AIG has to say
Checking access...6. Google Colab basics
Checking access...7. Adding to the file
Checking access...7.1. File system director
Checking access...8. Intro to Machine learning model piplines
Checking access...9. Machine learning
Checking access...10. Stable diffusion, text to image
Checking access...11. Installation
Checking access...12. Environment variables & C++
Checking access...13. Keep running code
Checking access...14. Zen dirctory
Checking access...15. Restart runtime
Checking access...16. Learning real inputs
Checking access...17. Input cells
Checking access...18. Inference
Checking access...19. AIG closing remarks
Checking access...
Instructors
Gennaro Schiano
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.