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* Fixed minor bugFampai2022-10-311-0/+1
| | | | | when unloading vae during TI training, generating images after training will error out
* Merge branch 'master' of ↵Fampai2022-10-313-39/+85
|\ | | | | | | https://github.com/AUTOMATIC1111/stable-diffusion-webui into TI_optimizations
| * Merge pull request #3928 from R-N/validate-before-loadAUTOMATIC11112022-10-302-25/+64
| |\ | | | | | | Optimize training a little
| | * Fix dataset still being loaded even when training will be skippedMuhammad Rizqi Nur2022-10-291-1/+1
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| | * Add missing info on hypernetwork/embedding model logMuhammad Rizqi Nur2022-10-291-13/+26
| | | | | | | | | | | | | | | | | | Mentioned here: https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/1528#discussioncomment-3991513 Also group the saving into one
| | * Revert "Add cleanup after training"Muhammad Rizqi Nur2022-10-291-95/+90
| | | | | | | | | | | | This reverts commit 3ce2bfdf95bd5f26d0f6e250e67338ada91980d1.
| | * Additional assert on datasetMuhammad Rizqi Nur2022-10-291-0/+2
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| | * Add cleanup after trainingMuhammad Rizqi Nur2022-10-291-90/+95
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| | * Add input validations before loading dataset for trainingMuhammad Rizqi Nur2022-10-291-12/+36
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| * | Improve lr schedule error messageMuhammad Rizqi Nur2022-10-291-2/+2
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| * | Allow trailing comma in learning rateMuhammad Rizqi Nur2022-10-291-13/+20
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* / Added TI training optimizationsFampai2022-10-312-2/+14
|/ | | | | option to use xattention optimizations when training option to unload vae when training
* Merge pull request #3858 from R-N/log-csvAUTOMATIC11112022-10-292-13/+13
|\ | | | | Fix log off by 1 #3847
| * Fix log off by 1Muhammad Rizqi Nur2022-10-282-13/+13
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* | Fix random dataset shuffle on TIFlameLaw2022-10-271-2/+2
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* typo: cmd_opts.embedding_dir to cmd_opts.embeddings_dirDepFA2022-10-261-1/+1
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* Implement PR #3625 but for embeddings.timntorres2022-10-261-1/+1
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* Implement PR #3309 but for embeddings.timntorres2022-10-261-1/+8
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* Implement PR #3189 but for embeddings.timntorres2022-10-261-5/+5
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* enable creating embedding with --medvramAUTOMATIC2022-10-261-0/+3
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* update default weightscaptin4112022-10-261-8/+8
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* download better face detection module dynamicallycaptin4112022-10-252-2/+31
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* Focal crop UI elementscaptin4112022-10-251-13/+13
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* Merge branch 'master' into focal-point-croppingcaptin4112022-10-255-40/+70
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| * prevent error spam when processing images without txt files for captionsAUTOMATIC2022-10-211-5/+4
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| * Merge branch 'master' into fix/train-preprocess-keep-ratioAUTOMATIC11112022-10-215-17/+36
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| | * Update image_embedding.pyDepFA2022-10-211-2/+2
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| | * Use opts in textual_inversion image_embedding.py for dynamic fontsDepFA2022-10-211-0/+1
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| | * Merge branch 'ae'AUTOMATIC2022-10-211-0/+1
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| | | * Merge branch 'master' into test_resolve_conflictsMalumaDev2022-10-181-0/+1
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| | | * \ Merge branch 'master' into test_resolve_conflictsMalumaDev2022-10-161-0/+1
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| | | * | | ui fix, re organization of the codeMalumaDev2022-10-161-1/+1
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| | | * | | Merge branch 'master' into test_resolve_conflictsMalumaDev2022-10-151-4/+13
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| | | * \ \ \ Merge branch 'master' into test_resolve_conflictsMalumaDev2022-10-152-37/+74
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| | | * | | | | initMalumaDev2022-10-142-11/+26
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| | * | | | | | Merge branch 'master' into training-help-textAUTOMATIC11112022-10-211-2/+2
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| | | * | | | | | Allow datasets with only 1 image in TIguaneec2022-10-211-2/+2
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| | * | | | | | do caption copy for both flipsDepFA2022-10-201-1/+1
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| | * | | | | | pass preprocess_txt_action paramDepFA2022-10-191-3/+3
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| | * | | | | | add existing caption file handlingDepFA2022-10-191-8/+24
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| | * | | | | | pass overwrite old flagDepFA2022-10-191-2/+2
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| | * | | | | | allow overwrite old embeddingDepFA2022-10-191-2/+3
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| * | | | | | train: ui: added `Split image threshold` and `Split image overlap ratio` to ↵Milly2022-10-201-5/+5
| | | | | | | | | | | | | | | | | | | | | | | | | | | | preprocess
| * | | | | | train: fixed preprocess image ratioMilly2022-10-201-19/+35
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* | | | | | improve debug markers, fix algo weightingcaptin4112022-10-251-78/+129
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* | | | | | auto cropping now works with non square cropscaptin4112022-10-231-240/+269
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* | | | | | improve face detection a lotcaptin4112022-10-201-37/+62
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* | | | | | face detection algo, configurability, reusabilitycaptin4112022-10-202-136/+230
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Try to move the crop in the direction of a face if it is present More internal configuration options for choosing weights of each of the algorithm's findings Move logic into its module
* | | | | | fix entropy point calculationcaptin4112022-10-191-15/+19
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* | | | | | Add auto focal point cropping to Preprocess imagescaptin4112022-10-191-5/+146
|/ / / / / | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This algorithm plots a bunch of points of interest on the source image and averages their locations to find a center. Most points come from OpenCV. One point comes from an entropy model. OpenCV points account for 50% of the weight and the entropy based point is the other 50%. The center of all weighted points is calculated and a bounding box is drawn as close to centered over that point as possible.
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