WORKSHOP
Text-to-Image with Stable Diffusion: Why should I care, and how?
Thursday, November 3, 2022
6:30–9pm ET
$25-60 Sliding Scale
CultureHub NYC
47 Great Jones Street
3rd Fl
New York, NY 10012
Over the past year, the unprecedented advancement in text-to-image artificial intelligence models has sparked widespread attention, discussion, and mainstream adoption of these innovative co-creative interfaces, which has resulted in novelty, excitement, and curiosity, as well as concern, anger, and insult.
Alongside this, the booming open-sourced text-to-image model development contributes to expanding access to working with AI tools beyond experts, tech giants, and professional technologists. Among all these open-sourced treasures, the recently-released Stable Diffusion text-to-image model by stability.ai outperforms for its fast training speed, highly customizable settings, and impressive generating quality.
In this workshop led by Tong Wu and Yuguang Zhang, we will go over the landscape of text-to-image AIs and dive deep into Stable Diffusion (SD), to see what potential they have in exploring new modes of content creation and helping us re-examine our language pattern. We’ll discuss how such tools could intervene in the workflows of artists and technologists, what they can provide for researchers, and what are the caveats and things we should look out for when we’re creating with these AIs.
This is an in-person workshop that will take place at the CultureHub studio in NYC. If you are experiencing financial hardship and would like to request a free spot in the workshop, please email info@culturehub.org. If you have any accessibility needs, please email info@culturehub.org.