Creative Prototyping with Generative AI: Augmenting Creative Workflows with Generative AI (Design Thinking)

Reimagine different generative AI as useful creative prototyping tools that can be used to augment your own creative process and projects. Gain a deeper understanding of how generative AI can elevate your creative future. You will acquire a comprehensive understanding of how AI works, uncover tools that can enhance your AI interactions, learn how to extract maximum potential from AI-produced content, and experiment with methods for assessing, refining, and boosting the content to transform your creative projects. You'll also explore how creative professionals from varied disciplines are employing generative AI in their workflows to produce distinctive contributions to the world. Each chapter provides examples of how designers and other creative individuals can utilize these technological wonders, adopting various prototyping techniques to fast-track and optimize design processes and workflows. Creators from all disciplines can tap into the vast capabilities and benefits of generative AI, enabling them to rapidly experiment and prototype their ideas. You Will Learn: Understand how generative AI can support your own creative process Learn tools to get the most out of text-text, text-image, and text-video generative AI Augment your design practices using generative AI Draw inspiration from AI generated content to create unique creative work Improve and streamline creatives processes and workflows Who This Book Is For Digital media professionals who want to access off-the shelf creative tools to improve and accelerate their creativity and workflow. Designers and engineers who are looking at novel ways to improve their prototyping and testing processes. Students who want to use AI to rapidly generate ideas to support them in prototyping assignments. Instructors interested in pointing their students to a variety of accessible AI resources to manage their own creativity. Table of Contents About the Author About the Technical Reviewers Acknowledgments Foreword Terminology Introduction Chapter 1: Generating Creativity from Negativity Differentiating Between Narrow and General AI More Relevant Historical Contributions to Computer Science Tech Is Bad... AI Is Bad Tech Is Good... AI Is Good Reconciling the Hype and the Vilification of AI Positive Headlines Negative Headlines Human-Generated Headlines Creative Activities to Try While Skynet Thrives Five Why’s Acknowledgments References Chapter 2: Being Creative with Machines Intelligent Machines Simulating Human Creative Intelligence Automata Ancient Musical Robot Bands Key Takeaways for Creatives Automata That Wrote and Drew Key Takeaway for Creatives Why Play the Piano When the Piano Can Play the Piano? Key Takeaways for Creatives Machine Intelligence in the Twentieth Century Simulated Patterns and Patterns of Disruption Generative Art Key Takeaways for Creatives Machine Intelligence and Games Intelligent Machines with Names Creative Activities to Try Based on This Chapter Acknowledgments References Chapter 3: Generative AI with Personalities The Personas of AI Prompting the AI Persona AI Agents Behind the Curtain Activities to Try Based on This Chapter Acknowledgments Chapter 4: Creative Companion Generative AI as Muse Creativity, AI, and You Understanding Your Own Creative Process Key Takeaways for Creatives Roleplaying with Your Muse Accelerating Your Creative Process with AI Activities to Try Based on This Chapter Chapter 5: Prototyping with Generative AI Asking a Prototype What It Is Aha Moments with Generative AI Mechanics of Prototyping Prototyping Tasks Us to Iterate Prototyping Asks for Persistent Refinement Prototyping Requires Experimentation Prototyping Phases Fidelity and Resolution of a Prototype Lower-Fidelity Prototypes Lower- to Medium-Fidelity Prototypes Prototyping with Generative AI Rapid Generative AI Prototypes Regenerative Testing Acknowledgments Chapter 6: Building Blocks Components or Building Blocks Building Blocks in the Prompt Box Breakfast as Data Set Variation Experimenting with Seeds for More Subtle Variations Addition and Subtraction Substitution Masking to Substitute Parts of an Image Iteration Augmentation Diminution Transposition Prompt and Response Acknowledgments Chapter 7: Generative AI Form and Composition Combining and Manipulating Existing Forms: Shakespeare as a Data set Deforming and Transforming Acknowledgments Chapter 8: The Art of the Prompt The Ins and Outs A Mini Glossary of Prompting The Not-So-Basic Rules of Play Genres and Styles Im(promptu) Experiment 1: Same Prompt, Different AI Experiment 1A: Stable Diffusion V.2.1 Experiment 1B: Stable Diffusion V.1.5 Through Third-Party AI Experiment 1C: Stable Diffusion V.2.1 Through Third-Party AI Experiment 1D: DALL-E 2 Experiment 1E: Midjourney Experiment 1F Takeaways for Creatives Experiment 2: From Complex to Simple Experiment 2A: Eliminate Artists from Prompts Experiment 2B: Substitute Words Experiment 2C: Add Words; Take Away Words Experiment 2D: Add Context Experiment 2E: Emphasis, Weight, Simplicity Experiment 2F: Refining the Text Prompt (Again) Narrative Prompting in Our Future Experiment 3: Comparing Descriptive and Narrative Prompts Tricking the AI Through Creative Prompting Beyond the Text-Based Prompt Takeaways from Experimenting with Prompts Acknowledgments Chapter 9: The Master of Mashup A Mashup on Mashup Digital Art to the Canvas New Forms of Writing AI Art Generation Styles Graphic Novels and Doujinshi From Comic Supervillains to Musical Generative NFTs Counterfeiting GAN Takeaways for Creatives Acknowledgments Chapter 10: Uncanny by Nature The Not-Quite-Human-Not-Quite-Other Disrupting Boundaries in the Arts Uncanny AI Historical Precedence to the Uncanny The Imperfect Stochastic Parrot The Role of Adversarial AI Generative Adversarial Art The Unanticipated Prompting Single-Word Characters, Creatures, Animals, or Cats Simulating the Human in the Writing From Bad to Better Ideas Can Bad Ideas Be Turned Around? Takeaways for Creatives Acknowledgments Chapter 11: Dilemmas Interacting with Generative AI Bringing Existing Dilemmas to the Surface (Again) Persistent Myths About AI Takeaways Bad Bots, Fuzzy Pixels, and Iterative Forgery Takeaways The Hallucinating Dev Takeaways The Stochastic (Sarcastic) Parrot Takeaways Exclusion of Voices and Gender Polarization The Machine Is Hallucinating NSFW and Deep Fakes FrankenAI Job (Re)placement A Saturated AI Ecosystem Ethical Futures of AI Creative Activities to Try Based on This Chapter Resources Chapter 12: Use Cases Workflows vs. Pipelines Examples of Workflow Types Use Cases for Creatives in Education Use Case: Catching AI Untruths Use Case: Integrating ChatGPT in Critical Studies Use Case: Increasing Public Understanding of ML Referenced Papers Takeaways Use Cases for Creatives in Industries Use Case: Concept Art for Animation Use Case: AI-Generated Talking Heads Use Case: Fact-Checking Code Use Cases: Integrating Different APIs and Local Networks Community-Based Initiatives Takeaways from Using AI in the Film Industry Use Case 1: Souki Mehdaoui Takeaways Use Case 2: Ollie Rankin Acknowledgments Chapter 13: AI and the Future of Creative Work Managing Automated Creativity Bread and Washing Machines Two Themes Every Creative Needs to Address Integrating AI into Your Workflows Day in the Life Steps Distinguishing Between Art and Design Processes Takeaways for Creatives Future AI Jobs Now Acknowledgments Impossibly Generated Conclusions Appendix: Image and Text Sources Walk Through Figure 2, FrankenAI Lab Index