SPRIGHT-T2I/SPRIGHT

[ECCV 2024] Official PyTorch implementation of "Getting it Right: Improving Spatial Consistency in Text-to-Image Models"

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Emerging

This tool helps creative professionals and artists generate images from text prompts with significantly improved spatial accuracy. You provide a text description, and it outputs an image where elements like 'a cat above a dog' are correctly positioned, addressing a common issue where previous models struggled with spatial relationships. It's designed for anyone who uses text-to-image models to create visual content.

103 stars. No commits in the last 6 months.

Use this if you need text-to-image models to consistently generate images that faithfully follow the spatial relationships described in your text prompts.

Not ideal if your primary concern is generating hyper-realistic images without specific spatial constraints.

generative-art digital-illustration content-creation text-to-image visual-design
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

103

Forks

5

Language

Python

License

Apache-2.0

Last pushed

Jul 05, 2024

Commits (30d)

0

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