DALL·E 3: Creating High-Resolution Images with AI

• Basic understanding of machine learning and deep learning
• Familiarity with DALL-E and DALL-E 2

Audience

• Digital artists and designers
• Image content creators
• Graphic designers
• Anyone interested in image generation with AI

DALL·E 3 (or DALL-E 3) is a deep learning model developed by OpenAI that generates high-resolution digital images from natural language descriptions, called "prompts". DALL-E 3 builds on the success of DALL-E and DALL-E 2 by improving caption fidelity and image quality.

This instructor-led, live training (online or onsite) is aimed at intermediate-level digital artists and AI enthusiasts who wish to use DALL-E 3 to generate images for various purposes.

By the end of this training, participants will be able to:

• Understand the concepts behind DALL-E 3.
• Use DALL-E 3 to generate images from prompts.
• Fine-tune DALL-E 3 on a custom dataset.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to DALL-E 3

• What is DALL-E 3 and how is it different from DALL-E and DALL-E 2?
• The role of AI in image generation
• Applications of DALL-E 3

Working with DALL-E 3

• Understanding the DALL-E 3 model
• Generating images from prompts using DALL-E 3
• Exploring the features and options of DALL-E 3
• Fine-tuning DALL-E 3 on a custom dataset

Limitations and Challenges

• Understanding the limitations of DALL-E 3
• Challenges in training and using DALL-E 3
• Future directions of DALL-E 3

Summary and Next Steps

• Review of key concepts and topics
• Q&A session
• Next steps for DALL-E 3 users