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Explore the fascinating world of Generative Art with Stable Diffusion in this 44-minute conference talk presented by Hunter Kempf, a Data Scientist and Z by HP Global Data Science Ambassador. Gain insights into the open-source Latent Diffusion model's architecture, development, and training process. Examine ethical implications of AI art and receive practical guidance on using Stable Diffusion, including tips and real-world examples for image generation. Learn about hardware considerations for local use and future possibilities in generative art models. Suitable for both beginners and experienced professionals in machine learning and deep learning, this presentation covers model architecture overview, ethical considerations, practical aspects, getting started guide, query optimization, and workflow examples, offering a comprehensive look at the intersection of technology and creativity in AI-generated art.
Syllabus
- Introductions
- Model Architecture Overview
- Ethical Considerations
- Practical Considerations
- Getting Started
- Optimzing Queries
- Workflow/App Examples
Taught by
Open Data Science