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Fine-Tuning Methods for Text-to-Image Models
March 30 @ 7:00 pm - 9:00 pm +04
About the Event:
The American University of Armenia (AUA) Akian College of Science and Engineering is excited to announce that PyData Yerevan Meetups are returning!
During the 5th #PyDataYVN meetup, Arman Chopikyan, ML Science team lead at Picsart with extensive experience in computer vision will give a talk on “Fine-tuning methods for text-to-image models.”
Modern text-to-image models such as Stable Diffusion, Karlo are resource-demanding architectures that require an immense scale of data and huge computational power for training. Fine-tuning of those models is critical for adapting them to various use cases.
During the talk, you will get a hands-on introduction, draw comparison lines, and explore the application details of several novel approaches, such as:
- Regularized Fine-tuning
- Textual Inversion
Do not miss out on the chance to join us on March 30 at 7 p.m. in room 313W, PAB and mark the beginning of the meetups.
Prior registration is required. Please register here.
About the Speaker:
Arman Chopikyan is an ML science team lead at Picsart. He has extensive experience in computer vision. His expertise includes image-to-image translations, generative adversarial networks, diffusion models, and generative artificial intelligence in general.