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This project is mirrored from
https://github.com/lucidrains/DALLE2-pytorch
. Pull mirroring updated
Sep 19, 2024
.
1.15.6
dab2f746
·
fix self_attn type on unetconfig
·
Oct 18, 2023
1.15.5
1e173f4c
·
more fixes to config
·
Oct 18, 2023
1.15.4
410a6144
·
new einops is torch compile friendly
·
Oct 18, 2023
1.15.3
c6c3882d
·
fix all optional types in train config
·
Oct 07, 2023
1.15.2
512b52bd
·
1.15.2
·
Oct 04, 2023
1.15.1
40843bcc
·
pydantic 2
·
Jul 15, 2023
1.14.3
c56336a1
·
pydantic 2
·
Jul 15, 2023
1.14.2
00e07b7d
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force einops 0.6.1 or greater and call allow_ops_in_compiled_graph
·
Apr 20, 2023
1.14.1
deda18fb
·
force einops 0.6.1 or greater and call allow_ops_in_compiled_graph
·
Apr 20, 2023
1.14.0
0069857c
·
remove einops exts for better pytorch 2.0 compile compatibility
·
Apr 20, 2023
1.12.4
580274be
·
use .to(device) to avoid copy, within one_unet_in_gpu context
·
Mar 07, 2023
1.12.3
848e8a48
·
always rederive the predicted noise from the clipped x0 for ddim + predict noise objective
·
Mar 05, 2023
1.12.2
cc58f754
·
bump to newer package of clip-anytorch that allows for text encodings < maximum context length
·
Mar 04, 2023
1.12.1
3b2cf7b0
·
fix for self conditioning in diffusion prior network...
·
Feb 11, 2023
1.12.0
984d62a3
·
default ddim sampling eta to 0
·
Dec 23, 2022
1.11.4
683dd98b
·
extra insurance in case eos id is not there
·
Dec 15, 2022
1.11.2
067ac323
·
address
https://github.com/lucidrains/DALLE2-pytorch/issues/266
·
Nov 23, 2022
1.11.1
fbba0f9a
·
bring in prediction of v objective, combining the findings from progressive...
·
Oct 28, 2022
1.11.0
1892f1ac
·
bring in prediction of v objective, combining the findings from progressive...
·
Oct 28, 2022
1.10.9
c3df46e3
·
fix openclipadapter to be able to use latest open sourced sota model
·
Oct 23, 2022
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