xandergos/sCM-mnist
Unofficial implementation of "Simplifying, Stabilizing & Scaling Continuous-Time Consistency Models" for MNIST
This project provides a straightforward way to implement and experiment with a specific type of AI model called "Continuous-Time Consistency Models" for generating images. It takes raw image data, like the MNIST handwritten digits, and trains models to produce new, similar images. This is for researchers or students exploring advanced image generation techniques and model training.
No commits in the last 6 months.
Use this if you are an AI researcher or student wanting to quickly understand and adapt state-of-the-art image generation techniques, specifically consistency models, for your own datasets or experiments.
Not ideal if you are looking for a pre-trained, ready-to-use image generation tool or a high-level API without diving into the underlying model architecture and training process.
Stars
89
Forks
8
Language
Python
License
MIT
Category
Last pushed
Mar 26, 2025
Commits (30d)
0
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