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* Embedding normalization: Ignore tensors with grad = 0Volpeon2023-02-211-8/+0
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* Optimized embedding normalizationVolpeon2023-01-171-5/+2
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* UpdateVolpeon2023-01-171-0/+3
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* CleanupVolpeon2023-01-141-1/+4
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* More modularizationVolpeon2023-01-131-5/+1
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* Removed PromptProcessor, modularized training loopVolpeon2023-01-133-39/+39
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* Code deduplicationVolpeon2023-01-131-2/+2
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* Fixed TI decayVolpeon2023-01-121-1/+9
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* UpdateVolpeon2023-01-071-5/+0
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* UpdateVolpeon2023-01-061-1/+1
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* Added EMA to TIVolpeon2023-01-051-3/+3
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* UpdateVolpeon2023-01-051-4/+6
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* Various cleanupsVolpeon2023-01-052-7/+7
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* UpdateVolpeon2023-01-042-2/+4
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* Added vector dropoutVolpeon2023-01-031-2/+25
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* UpdateVolpeon2023-01-011-11/+11
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* CleanupVolpeon2023-01-012-11/+1
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* Fix MultiCLIPTokenizer (forgot to override encode)Volpeon2023-01-011-13/+20
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* UpdatesVolpeon2023-01-012-16/+71
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* Fixed accuracy calc, other improvementsVolpeon2023-01-011-7/+11
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* FixVolpeon2023-01-011-1/+1
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* Better token shufflingVolpeon2023-01-011-2/+3
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* FixVolpeon2022-12-311-5/+7
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* UpdateVolpeon2022-12-312-18/+18
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* Bugfixes for multi-vector token handlingVolpeon2022-12-312-22/+44
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* Simplified multi-vector embedding codeVolpeon2022-12-311-12/+11
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* FixesVolpeon2022-12-311-1/+1
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* Added multi-vector embeddingsVolpeon2022-12-313-3/+176
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* Fixed Textual InversionVolpeon2022-12-221-3/+3
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* Support attention_mask of text encoderVolpeon2022-12-101-3/+7
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* Make prompt processor compatible with any modelVolpeon2022-11-271-1/+2
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* Updated Dreambooth trainingVolpeon2022-10-191-1/+1
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* Improved prompt handlingVolpeon2022-10-181-0/+31