The concept of blending image/text and providing ad variations is very impressive :)
The next question comes up / How does it compete against other models? Text to image generator options?
My Understanding
- Have variations for text
- Have Variations for image
- Leverage past data
- Position according to domain/data
- Generate variations
30% image variations
30% text variations
40% templates and positioning based on domain / data / templates
Keep Exploring!!!
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