BhanuPrakashPebbeti/Image-Generation-Using-VQVAE

Image Generation using VQVAE and GPT Models

22
/ 100
Experimental

This project helps creators and designers generate unique, high-quality images from scratch. You provide a dataset of existing images, and the system learns their style and features, then generates entirely new images that fit that aesthetic. It's ideal for anyone needing diverse visual content, such as graphic designers, marketers, or artists.

No commits in the last 6 months.

Use this if you need to quickly generate a large volume of diverse, high-fidelity images that maintain a consistent style based on your input examples.

Not ideal if you need to precisely control every aspect of the generated image or if you require very high-resolution outputs without further architectural modifications.

digital-art content-creation graphic-design image-synthesis creative-asset-generation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 8 / 25

How are scores calculated?

Stars

20

Forks

2

Language

Jupyter Notebook

License

Last pushed

Mar 03, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/BhanuPrakashPebbeti/Image-Generation-Using-VQVAE"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.