🎉 Welcome to our exciting day-long event exploring Stable Diffusion, the latest text-to-image generation model! We invite you to join us for a day filled with learning, creativity, and fun.
🤖 At this event, you will have the opportunity to learn how to fine-tune and adapt Stable Diffusion for creating unique manga styles. Our expert instructors from Weights & Biases, internationally leading MLOps platform, will guide you through the process, providing tips and tricks to help you create stunning visual masterpieces.
🤝 This event is all about collaboration! You'll have the chance to work in small teams of up to three people, allowing you to share your ideas and learn from others. Computing resources will be provided to all participants, so you'll have everything you need to bring your ideas to life.
🏆 In addition to learning new skills and collaborating with others, you'll also have the chance to compete for amazing prizes! Put your newly-acquired knowledge to the test and create manga masterpieces that will wow our judges.
🍕 Of course, we know that creativity requires sustenance, so we'll be providing plenty of pizza throughout the event to keep you fueled and energized.
We hope to see you there and can't wait to witness the amazing manga art you'll create!
🎨 Whether you're a seasoned artist or a complete beginner, this event is the perfect opportunity to learn new skills, meet like-minded individuals, and have fun creating unique manga art.
So, mark your calendars and join us for a day of learning, creativity, and fun! We can't wait to see what amazing manga masterpieces you'll create. 🤗
NB: Due to the limited spots available (60 participants), we require to register only if you know you can attend. Working teams will be formed on the day of the event. Please, make sure your friends register individually to the event too (and show up), if you would like to participate together in the same team. Thank you! 😃
Weights & BIases
Machine Learning Engineer
Thomas Capelle is a Machine Learning Engineer at Weights and Biases who works on the Growth Team. With a background in Urban Planning, Combinatorial Optimization, Transportation Economics, and Applied Math, Thomas brings a wealth of knowledge and experience to the table.
At Weights and Biases, Thomas is responsible for keeping the wandb/examples repository live and up to date. He also bu…
Thomas Capelle is a Machine Learning Engineer at Weights and Biases who works on the Growth Team. With a background in Urban Planning, Combinatorial Optimization, Transportation Economics, and Applied Math, Thomas brings a wealth of knowledge and experience to the table.
At Weights and Biases, Thomas is responsible for keeping the wandb/examples repository live and up to date. He also builds content on ML-OPS, application of wandb to industry, and many other deep learning projects. Prior to his work at Weights and Biases, he was using deep learning to solve short-term forecasting for solar energy at Steady Sun.
As a top machine learning engineer, Thomas is passionate about helping others improve their skills with Weights and Biases. He is dedicated to making complex topics more accessible and is always happy to answer questions and share his expertise.
ETH Zurich
GDSC Lead
ETH Zürich
GDSC Lead
ETH Zürich
MSc Graduate
Swiss Re Ltd
GDSC Core Team Member
ETH Zurich
GDSC Core Team Member
ETH Zürich
GDSC Core Team Member
GDSC Core Team Member
ETH Zürich
GDSC Core Team Member
ETH Zurich
GDSC Core Team Member
ETH Zurich
GDSC Core Team Member
ETH Zürich
GDSC Core Team Member
GDSC Core Team Member
University of Zurich
GDSC Core Team Member
GDSC Core Team Member
GDSC Core Team Member
GDSC Core Team Member
GDSC Core Team Member
ETH
Core Team Member
