projects
Text-to-Image with Stable Diffusion
CultureHub

A hands-on workshop diving into the landscape of text-to-image AIs with a special focus on Stable Diffusion, exploring new modes of content creation and examining our relationship with AI tools.
Workshop Overview
Over the past year, the unprecedented advancement in text-to-image artificial intelligence models has sparked widespread attention and discussion. This workshop examines both the excitement and concerns surrounding these tools, particularly focusing on open-source developments like Stable Diffusion.
Key Topics Covered
- Overview of text-to-image AI landscape
- Deep dive into Stable Diffusion capabilities
- Practical applications for artists and technologists
- Ethical considerations and best practices
- Hands-on experimentation with the tools
Technical Focus
The workshop particularly emphasized:
- Stable Diffusion model architecture
- Prompt engineering techniques
- Custom model training possibilities
- Integration with creative workflows
- Resource optimization
Event Details
Date: November 3, 2022
Time: 6:30–9pm ET
Location: CultureHub NYC, 47 Great Jones Street
Format: In-person workshop
Cost: $25-60 Sliding Scale
Teaching Artists
Tong Wu
Creative technologist and multimedia artist focused on cyberculture and digital systems, exploring how individuals form relationships with their digital avatars in the AI era.
Yuguang Zhang
New media / AI artist working with interactive media, installation, and performance, investigating our connections with ubiquitous AI systems and the cultural shifts they bring.
Organized and hosted by CultureHub Inc., a global art & technology community.