Using AI to revolutionize video game development with Scenario CEO Emmanuel de Maistre | E1741 | Summary and Q&A

102.5K views
May 12, 2023
by
This Week in Startups
YouTube video player
Using AI to revolutionize video game development with Scenario CEO Emmanuel de Maistre | E1741

Install to Summarize YouTube Videos and Get Transcripts

Summary

In this video, the CEO and co-founder of Scenario, Emmanuel D'mastre, discusses how their startup is using generative AI to create and produce creative assets for the video game industry. He explains that Scenario allows game artists to train their own custom AI model with their own data, which can then be used to generate images based on specific prompts. Emmanuel showcases a demo of Scenario's capabilities, generating images of treasure chests and hamburgers, and discusses the potential for AI in creating 3D models and expanding into other industries.

Questions & Answers

Q: How are game assets typically created and how expensive is the process?

Game assets are typically created by a team of designers, game designers, product designers, art directors, and technical artists. The process is time-consuming and can be expensive, with costs ranging from hundreds of thousands to tens of millions of dollars, depending on the size and complexity of the game.

Q: How does Scenario use generative AI to create game assets?

Scenario allows game artists to train their own custom AI model with their own data. By providing text prompts, artists can generate images based on their desired shapes, colors, and proportions. The AI model learns from the data provided by the artists and generates consistent and high-quality images that match the artist's style.

Q: Can Scenario generate 3D models in addition to 2D images?

Yes, Scenario is working towards expanding its capabilities to generate 3D models. This would allow game artists to create not only 2D images but also fully realized 3D assets that could be used in games.

Q: How does Scenario help game studios save time and money in asset creation?

Scenario's AI-powered platform enables game studios to speed up their asset creation process by allowing artists to generate images quickly and efficiently. By training their own AI model, studios can ensure consistency in their artwork, reduce the time and cost associated with traditional asset creation methods, and even involve players in generating in-game content.

Q: How much does Scenario's platform cost?

Scenario offers a subscription-based pricing model, with costs ranging from $1,000 to $40,000 per year, depending on the size and requirements of the studio. They also offer custom pricing for enterprise clients. Additionally, they provide an API-based model for developers who want to integrate Scenario's capabilities into their own applications.

Q: Are there other potential applications for generative AI beyond the video game industry?

Yes, generative AI has the potential to be used in various industries that require the creation of images or other creative assets. For example, it could be used in marketing, movie production, or any industry that relies on visual content. The possibilities are vast, and as the technology continues to evolve, we can expect to see innovative applications emerge.

Q: What challenges do game studios face in asset creation, and how does Scenario address them?

Game studios face challenges such as the time and cost associated with creating assets, ensuring consistency in artwork, and meeting production deadlines. Scenario addresses these challenges by providing a platform that allows for quick and efficient asset generation, training custom AI models to maintain consistency, and providing tools for collaboration and asset management.

Q: How does generative AI impact the role of traditional artists in game development?

Generative AI augments the creativity of traditional artists by providing them with tools to speed up their workflow, explore new possibilities, and achieve even higher levels of creativity. While AI can assist in asset creation, it does not replace the artist's talent and expertise. Artists can leverage AI to enhance their work and focus on more complex and creative aspects of game development.

Q: What role does data play in training AI models for image generation?

Data is crucial in training AI models for image generation. The quality and diversity of the training data greatly influence the output of the model. To ensure legal and ethical use of data, it is important to select data that artists have the right to use or obtain appropriate permissions. Over time, AI models will likely be trained on data that has been vetted and cleared for use, potentially involving blockchain technology to track ownership and rights.

Q: What are the future plans for Scenario?

Scenario plans to expand into 3D asset generation and integrate with game engines such as Unity and Unreal. They are also working on improving asset management and collaboration features on their platform. Additionally, they are exploring the potential of using blockchain technology to track image flows and enable revenue sharing between artists and users of the generated assets.

Takeaways

Generative AI has the potential to revolutionize asset creation in the gaming industry by providing quick and efficient ways to generate images and 3D models. By training custom AI models, game studios can save time and money while maintaining artistic control and consistency. While generative AI augments the work of traditional artists, it does not replace their creativity and expertise. Instead, it empowers artists to explore new possibilities and enhance their artistic vision. As the technology continues to evolve, we can expect to see its applications expand beyond the gaming industry into various other sectors that require the creation of visual content.

Share This Summary 📚

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on:

Explore More Summaries from This Week in Startups 📚

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on: