Explorando Rectified Flow Objective Explained
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- Note at 02:45 I meant to say “x_txt_0 is a training image sample” not “x_txt_0 is noise for text” In this video, we go over the ...
- In this video, we continue our implementation of the joint image+text RF model by implementing joint inference Theory -
- Machine Learning: PyTorch implementation of the paper "
- Rectified flow
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NOTE: The canon way to do RF is sample x1 and move to x0. I did x0 to x1 in this video, but either works 00:00 Introduction 01:05 ... Can we generate images faster than diffusion models? [Project] Online Monte Carlo Seminar Website: sites.google.com/view/monte-carlo-seminar Speaker: Qiang Liu (UT Austin) Title:
Correction: At 09:50 I say "image conditioning" and I meant to say "text conditioning". For that particular reference, I trained a ...
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