- Some graphic design experience
- Familiarity with Python
Audience
- Digital artists and designers
- Image content creators
- Graphic designers
- Anyone interested in image generation with AI
DALL-E (or DALL·E) and DALL-E 2 are deep learning models developed by OpenAI that generate digital images from natural language descriptions, called "prompts."
This instructor-led, live training (online or onsite) is aimed at digital artists and AI enthusiasts who wish to use DALL-E and DALL-E 2 to generate images for various purposes.
By the end of this training, participants will be able to:
- Understand the concepts behind DALL-E and DALL-E 2.
- Use DALL-E and DALL-E 2 to generate images from prompts.
- Fine-tune DALL-E and DALL-E 2 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 and DALL-E 2
- What is DALL-E and DALL-E 2?
- The role of machine learning and deep learning in image generation
- Applications of DALL-E and DALL-E 2
Working with DALL-E and DALL-E 2
- Understanding the DALL-E and DALL-E 2 models
- Generating images from prompts using DALL-E and DALL-E 2
- Fine-tuning DALL-E and DALL-E 2 on a custom dataset
Limitations and Challenges
- Understanding the limitations of DALL-E and DALL-E 2
- Challenges in training and using DALL-E and DALL-E 2
- Future directions of DALL-E and DALL-E 2
Summary and Next Steps
- Review of key concepts and topics
- Q&A session
- Next steps for DALL-E and DALL-E 2 users
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