Dylan Ebert is a highly regarded research scientist and engineer recognized for his pivotal contributions to the field of generative artificial intelligence. He gained widespread prominence for his work on Stable Diffusion, a groundbreaking open-source text-to-image model developed during his tenure at Stability AI. His expertise lies in deep learning, neural networks, and the development of large-scale AI models that push the boundaries of creative content generation and AI accessibility. Ebert is known for his commitment to open research and democratizing AI technologies.
Dylan Ebert's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a fundamental role in the research, development, and successful launch of Stable Diffusion, a powerful and widely adopted open-source text-to-image model that has significantly impacted the AI and creative industries.
Contributed to significant advancements in the architecture, training, and capabilities of generative AI models, particularly in the domain of image synthesis and diffusion models.
Advocated for and contributed to open-source AI initiatives, making powerful AI tools and research more accessible to the broader community, fostering innovation and collaboration.
Liberty University - Year 2021
St. Bonaventure University - Year 2006
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Bank of America is one of the world's leading financial institutions, serving individual consumers, small and middle-market businesses, and large corporations with a full range of banking, investing, asset management, and other financial and risk management products and services. The company provides unmatched convenience in the United States, serving approximately 69 million client relationships through its retail banking footprint, preferred banking, Merrill wealth management, and global banking and markets segments. It is focused on responsible growth and ESG leadership.
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