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lucidrains authored May 24, 2022
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Expand Up @@ -72,6 +72,7 @@ images = imagen.sample(text_embeds = text_embeds) # (4, 3, 256, 256)
- [ ] add the noise level conditioning with the pseudocode in appendix, and figure out what is this sweep they do at inference time
- [ ] add dynamic thresholding, add to DALLE2 and video-diffusion repository as well
- [ ] port over some training code from DALLE2
- [ ] figure out if learned variance was used at all, and remove it if it was inconsequential

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