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World Congress 2023 • Oct 6, 2023

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative

David Estevez

If you could instantly visualize any concept, what would you build? Discover how advanced diffusion models and layout controls finally give creators absolute precision over AI generation.

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#1 about 5 min

Evolution of generative AI capabilities

Generative systems have progressed from limited, low-resolution capabilities to highly controllable, high-resolution models.

#2 about 3 min

Basic image generation using diffusion models

Diffusion models produce targeted visual outputs by progressively removing noise from randomized pixels based on text descriptions.

#3 about 2 min

Localized image editing using spatial context

Masked regions allow localized denoising to replace specific objects while preserving the surrounding image layout.

#4 about 5 min

Personalizing generation outputs through textual inversion

Textual inversion trains models to associate specific subjects or art styles with new vocabulary terms for customized outcomes.

#5 about 6 min

Controlling generative layouts with structured inputs

Supplying models with functional sketches, depth maps, or pose data constrains outputs to desired structural arrangements.

#6 about 12 min

Navigating model training and usage ethics

Considerations regarding video generation limits, open-source fine-tuning, ethical guardrails, and copyright implications require continuous evaluation.

Matching moments

2:01 min

Evolution of generative artificial intelligence in modern technology

Romero Romero · World Congress 2024

3:46 min

Overview of generative AI capabilities and current hype

Anonymized By Request +2 · World Congress 2025

1:37 min

Exploring common use cases for modern generative AI

Sandra Ahlgrimm Sandra Ahlgrimm +1 · World Congress 2024

3:47 min

Examples of generative AI applications in media and code

Cheuk Ho · World Congress 2023

2:24 min

Evaluating AI image generation tools for content creation

Chris Heilmann Chris Heilmann +2 · LIVE

4:46 min

How generative models disrupt traditional machine interaction

Mary Grygleski Mary Grygleski · LIVE

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