CompVis/zigma
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)
This project creates realistic, high-resolution images and videos from noise using a novel 'zigzag' pattern. It takes an initial noisy image or video and refines it iteratively, producing clear, high-quality visual content. Researchers and creators working with generative AI for image and video synthesis would find this tool valuable.
345 stars. No commits in the last 6 months.
Use this if you need to generate high-quality images of faces, landscapes, or videos efficiently from scratch or enhance existing noisy visual data.
Not ideal if you are looking for tools to analyze existing images, perform image classification, or conduct traditional video editing.
Stars
345
Forks
23
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 17, 2025
Commits (30d)
0
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