xie-lab-ml/Zigzag-Diffusion-Sampling
[ICLR2025] The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection".
This project offers an advanced method for generating images from text descriptions using Stable Diffusion XL. It takes your text prompt as input and produces higher-quality, more accurate images than standard methods, especially for complex or challenging prompts. Image creators, digital artists, and marketing professionals can use this to get better visual outputs from AI.
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Use this if you are using Stable Diffusion XL for text-to-image generation and need to improve the quality, detail, and prompt alignment of your generated images.
Not ideal if you are not working with Stable Diffusion models or primarily need to generate images from scratch without text prompts.
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Language
Python
License
Apache-2.0
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Last pushed
Feb 19, 2025
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