No Priors: Artificial Intelligence | Technology | Startups

The Future of AI Artistry with Suhail Doshi from Playground AI

Apr 18, 2024

24:31

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Suhail Doshi, Founder of Playground AI, discusses multimodal models in AI art, user-friendly interfaces, and the future of image generation. Topics include training diffusion models, evolving AI architecture, and the capabilities of multimodal models in creative tools.

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Quick takeaways

Multimodal models enhance AI artistry by integrating language and vision capabilities for creative expression.

Playground AI focuses on user-friendly AI image editing tools while advancing diffusion models to improve image quality.

Deep dives

Playground AI's Journey and Inspiration

Sue Hale-Doshi, founder of Playground AI, embarked on creating AI pixel generation models like Playground 2.5 after witnessing breakthroughs in AI with GPT-3 and Dolly-2 in 2022. Focused on image generation, Playground aimed to streamline the creation process, offering a user-friendly platform. Doshi's background in music led to a fascination with AI's creative applications and the desire for practical image editing, beyond just art creation.

Introduction

2min

Exploring AI Art: Building Custom Models for Image Generation

10min

Exploring User Preferences and Data Curation in AI Artistry

3min

Multimodal Models in AI: Integrating Language and Vision

6min

Exploring Data Sources for AI Models and AI Tools in Music Production

4min

Multimodal models are making it possible to create AI art and augment creativity across artistic mediums. This week on No Priors, Sarah and Elad talk with Suhail Doshi, the founder of Playground AI, an image generator and editor. Playground AI has been open-sourcing foundation diffusion models, most recently releasing Playground V2.5.

In this episode, Suhail talks with Sarah and Elad about how the integration of language and vision models enhances the multimodal capabilities, how the Playground team thought about creating a user-friendly interface to make AI-generated content more accessible, and the future of AI-powered image generation and editing.

Show Notes:

(0:00) Introduction

(0:52) Focusing on image generation

(3:01) Differentiating from other AI creative tools

(5:58) Training a Stable Diffusion model

(8:31) Long term vision for Playground AI

(15:00) Evolution of AI architecture

(17:21) Capabilities of multimodal models

(22:30) Parallels between audio AI tools and image-generation

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