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* UpdateVolpeon2022-10-246-17/+415
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* Revert lat; fix skip attribute in datasetVolpeon2022-10-222-76/+87
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* Training updateVolpeon2022-10-222-87/+75
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* Add optional TI functionality to DreamboothVolpeon2022-10-213-45/+77
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* Dreambooth: Added option to insert a new input token; removed Dreambooth PlusVolpeon2022-10-192-1029/+42
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* Updated Dreambooth trainingVolpeon2022-10-193-37/+76
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* Adapted other scripts for new prompt processingVolpeon2022-10-183-17/+23
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* Improved prompt handlingVolpeon2022-10-185-129/+100
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* Implemented extended prompt limitVolpeon2022-10-174-58/+108
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* Upstream updates; better handling of textual embeddingVolpeon2022-10-175-59/+82
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* UpdateVolpeon2022-10-163-9/+15
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* UpdateVolpeon2022-10-163-33/+69
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* UpdateVolpeon2022-10-153-26/+49
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* Removed aesthetic gradients; training improvementsVolpeon2022-10-146-243/+77
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* Added support for Aesthetic GradientsVolpeon2022-10-138-61/+245
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* Added TI+Dreambooth trainingVolpeon2022-10-134-12/+961
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* Various updatesVolpeon2022-10-127-223/+142
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* Added EMA support to Textual InversionVolpeon2022-10-102-17/+60
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* Remove unused codeVolpeon2022-10-101-138/+0
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* TI: Use different lr schedulerVolpeon2022-10-101-1/+1
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* Dreambooth: Add EMA supportVolpeon2022-10-101-6/+44
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* Updated default paramsVolpeon2022-10-102-7/+7
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* UpdateVolpeon2022-10-094-13/+146
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* UpdateVolpeon2022-10-086-144/+169
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* Fix small detailsVolpeon2022-10-073-57/+59
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* Training: Create multiple class images per training imageVolpeon2022-10-074-34/+101
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* UpdateVolpeon2022-10-068-1116/+159
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* Inference: Add support for embeddingsVolpeon2022-10-041-2/+30
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* Multi-vector TI was brokenVolpeon2022-10-041-69/+38
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* Add Textual Inversion with class dataset (a la Dreambooth)Volpeon2022-10-045-47/+968
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* Default sample steps 30 -> 40Volpeon2022-10-042-2/+2
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* Fix: PromptsVolpeon2022-10-041-2/+6
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* BugfixVolpeon2022-10-042-6/+6
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* FixVolpeon2022-10-031-8/+2
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* Dreambooth: Generate specialized class images from input promptsVolpeon2022-10-035-164/+129
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* Small perf improvementsVolpeon2022-10-035-51/+58
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* Added negative prompt support for training scriptsVolpeon2022-10-034-133/+63
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* Fixed euler_a generator argumentVolpeon2022-10-035-23/+10
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* Assign unused images in validation dataset to train datasetVolpeon2022-10-034-9/+26
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* Added script to convert Differs -> SDVolpeon2022-10-031-0/+234
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* Use euler_a for samples in learning scripts; backported improvement from ↵Volpeon2022-10-034-203/+230
| | | | Dreambooth to Textual Inversion
* Small performance improvementsVolpeon2022-10-023-17/+28
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* Fix img2imgVolpeon2022-10-023-60/+38
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* More consistent euler_aVolpeon2022-10-023-45/+33
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* WIP: img2imgVolpeon2022-10-022-39/+131
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* Fix seed, better progress bar, fix euler_a for batch size > 1Volpeon2022-10-013-15/+15
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* Made inference script interactiveVolpeon2022-10-013-216/+113
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* Added custom SD pipeline + euler_a schedulerVolpeon2022-09-305-36/+869
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* Better sample file structureVolpeon2022-09-281-5/+5
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* Batches of size 1 cause error: Expected query.is_contiguous() to be true, ↵Volpeon2022-09-282-29/+16
| | | | but got false