Tags · Казакова Маргарита Александровна / Video Diffusion Pytorch · GitLab

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0.6.3

f68f31ea · 0.6.3 · Nov 28, 2023

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0.6.2

9630374a · 0.6.2 · Nov 26, 2023

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0.6.1

9a71ea7a · try adding hf transformers as dep · Nov 26, 2023

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0.6.0

601aceec · move first residual after initial temporal attention · Jul 24, 2022

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v0.5.3

e4d9e9d2 · fix a bug with bert encoding · Jul 14, 2022

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v0.5.2

98d64b43 · one more residual · Jun 16, 2022

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v0.5.1

4590f60b · fix a bug where the highest resolution unet residual was not being concatted... · Jun 15, 2022

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v0.5.0

485186f5 · fix a bug where the highest resolution unet residual was not being concatted... · Jun 15, 2022

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v0.4.2

275998c6 · move to film-like conditioning for time · May 24, 2022

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v0.4.1

89d3c229 · move to film-like conditioning for time · May 24, 2022

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v0.4.0

9aecf568 · bring in dynamic thresholding, from Imagen paper, which purportedly improves... · May 24, 2022

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0.3.19

7e5686e0 · higher default lr · May 16, 2022

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0.3.18

492ec084 · take care of normalization and inverse normalization of image for ddpm, so... · May 14, 2022

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0.3.17

cab9ec29 · for numerical accuracy · May 10, 2022

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0.3.16

cbd19780 · allow for mask to be passed in for directly specifying which batch element... · May 10, 2022

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0.3.15

6ed37a69 · attempt to fix long description problem · May 10, 2022

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0.3.14

fbb0ef5e · fix focus-present masking, thanks to @CiaoHe yet again! · May 10, 2022

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0.3.12

aded599b · allow for non-strict load_state_dict · May 09, 2022

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0.3.11

01f7f82b · initial temporal attention should be prenorm residual · May 09, 2022

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0.3.10

2a78aac0 · make sure initial temporal attention gets rotary embeddings · May 09, 2022

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