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aljaz/DALLE2-pytorch
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mirror of https://github.com/lucidrains/DALLE2-pytorch.git synced 2025-12-20 02:04:19 +01:00
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8260fc933a9a5118e18f209314ecfad246a42454
DALLE2-pytorch/dalle2_pytorch
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Phil Wang 8260fc933a allows one to shortcut sampling at a specific unet number, if one were to be training in stages
2022-04-30 15:10:25 -07:00
..
data
bring in the simple tokenizer released by openai, but also plan on leaving room for custom tokenizer with yttm
2022-04-12 09:23:17 -07:00
__init__.py
simplify Decoder training for the public
2022-04-30 11:45:18 -07:00
cli.py
some outlines to the eventual CLI endpoint
2022-04-24 09:27:15 -07:00
dalle2_pytorch.py
allows one to shortcut sampling at a specific unet number, if one were to be training in stages
2022-04-30 15:10:25 -07:00
optimizer.py
now completely OpenAI CLIP compatible for training
2022-04-29 13:05:01 -07:00
tokenizer.py
bring in the simple tokenizer released by openai, but also plan on leaving room for custom tokenizer with yttm
2022-04-12 09:23:17 -07:00
train.py
DecoderTrainer sample method uses the exponentially moving averaged
2022-04-30 14:55:34 -07:00
vqgan_vae.py
vqgan-vae codebook dims should be 256 or smaller
2022-04-28 08:59:03 -07:00
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