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YouTube

Text to Image AI Models - Different Methodologies and How It Works

Prodramp via YouTube

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Overview

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This course explains the main methodologies behind text-to-image generation, covering autoregressive models, GANs, VQ-VAE transformers, and diffusion models through examples including DALL-E 2 and Imagen.

Syllabus

- Content Intro
- 4 Different Methods
- Our Objective
- Text to Image Generation Methods
- Autoregressive Models
- GANs
- GANs Introduction
- VQ-VAE Transformers
- VQ-VAE - DALL-E mini/mega Models
- VQ-VAE - ruDALL-E Models
- Diffusion Models
- Diffusion Models Technology
- Diffusion Models - GLIDE by Open AI
- Diffusion Models - DALL-E 2 by Open AI
- Diffusion Models - Imagen by Google
- Google Pathway Models
- GitHub Resources
- Conclusion

Taught by

Prodramp

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