ArchiMickey/Just-a-DiT
A repo of a modified version of Diffusion Transformer
This is a specialized tool for machine learning practitioners and researchers focused on generating high-quality images. It takes training datasets of images as input and produces new, synthetic images that resemble the training data. The primary users are those working on advanced generative AI models who need to experiment with and deploy cutting-edge image synthesis techniques.
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Use this if you are a machine learning researcher or engineer looking to generate synthetic images using an advanced Diffusion Transformer model and want to experiment with recent optimization techniques like Flow Matching and tailored SNR samplers.
Not ideal if you need a simple, out-of-the-box image generation solution without deep technical customization or if your primary goal is not research into generative model architectures.
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Language
Python
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Last pushed
Sep 14, 2025
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