inuwamobarak/img-2-img-generation

This repository contains a stable diffusion costumed pipeline for generating images from images. The project aims to develop a robust system that leverages image-to-image generation techniques to create new images based on existing images. The pipeline utilizes a diffusion model and provides a stable and reliable approach to image generation.

27
/ 100
Experimental

This tool helps creative professionals like graphic designers, artists, or marketers transform existing images into new, unique visuals. You provide an initial image, and the system generates a variety of stable, high-quality derivative images. It's designed for anyone needing to quickly iterate on visual concepts or produce variations from a base image.

No commits in the last 6 months.

Use this if you need to create multiple visual variations or artistic interpretations from a single input image.

Not ideal if you're looking to generate entirely new images from scratch based only on text prompts, or for simple image editing tasks like resizing or cropping.

graphic-design digital-art visual-content-creation marketing-asset-generation creative-prototyping
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 15 / 25

How are scores calculated?

Stars

7

Forks

4

Language

Jupyter Notebook

License

Last pushed

Jul 10, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/inuwamobarak/img-2-img-generation"

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