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- Content Intro
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Classroom Contents
AI Workshop - Build Your Own Text-to-Image Application with DALL-E Mini in Python from Scratch
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- 1 - Content Intro
- 2 - Why Text-to-image AI Research?
- 3 - Previous reference videos
- 4 - Solution Design and components
- 5 - Finalizing Models for the solution
- 6 - DALL-e mini model resources
- 7 - Components and Model Finalization
- 8 - Coding at Colab Starts
- 9 - Package Installation
- 10 - Downloading all files to local folder
- 11 - Instantiate DALL-e mini main model
- 12 - Instantiate VQGAN Model
- 13 - Loading Tokenizer to create text processor
- 14 - Creating Inference function
- 15 - Creating Decode Function
- 16 - Setting Text Input Prompt
- 17 - Defining Model Parameters
- 18 - Processing Text and Generating Results
- 19 - Hitting known error and by passing it
- 20 - Text to Image Results
- 21 - Re-testing app with different input
- 22 - Workshop Code at GitHub
- 23 - Conclusion
