NVIDIA AI Developer Contest - Speech to Image TensorRT - GTC 2024

TL;DR

A YouTuber demonstrates their submission for the Nvidia AI RTX Developer Contest, showcasing a speech to image app using stable diffusion and tensor RT.

Transcript

in today's video we are going to take a look at my contribution to the Nvidia AI RTX developer contest I created a simple speech to image app with stable diffusion and tensor RT I'm going to show you how you also can enter this contest we also have some DLI credits from Nvidia that I will be giving away to the all about AI members Community next we... Read More

Key Insights

• 👏 The Nvidia AI RTX Developer Contest involves creating an app that uses stable diffusion and tensor RT for converting speech to images.
• 😫 The process for entering the contest includes setting up and building the project, sharing a demo on social media, and submitting the entry form.
• 🏆 The contest winners have a chance to win valuable prizes, including a high-end GPU and a conference pass.

Questions & Answers

Q: How does the speech to image app work?

The app takes speech as input, transcribes it using fast whisper, and uses the transcription as the input prompt for stable diffusion powered by Nvidia tensor RT. The generated image is then displayed.

Q: What is the process for entering the Nvidia AI RTX Developer Contest?

To enter the contest, you need to set up and build your project using tensor RT or tensor RT llm, share a demo of your project on social media, and submit the entry form provided. The YouTuber provides a detailed walkthrough of these steps.

Q: What are the prizes for the contest winners?

The winners of the contest have a chance to win a GeForce 49 GPU, a GTC conference in-person pass, travel expenses coverage, and other courses. The YouTuber expresses their hopes of winning and highlights the value of these prizes.

Q: How can the DLI credits from Nvidia be used?

The DLI credits can be spent on various self-paced courses, such as "Getting Started with Accelerated Computing with CUDA" and "Generative AI with Diffusion Models." They can also be used to attend in-person or virtual workshops during the Nvidia GTC conference.

Summary & Key Takeaways

• The YouTuber showcases their entry for the Nvidia AI RTX Developer Contest, which involves creating a speech to image app using stable diffusion and tensor RT.

• They provide step-by-step instructions on how to set up and build the project using the Nvidia tensor RT.

• The YouTuber demonstrates the app in action, generating an image based on a speech prompt and showcasing the submission process for the contest.