MonsterMMORPG
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README.md
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This is a training of a public LoRA style (
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Experimenting captions vs non-captions. So we will see which yields best results for style training on FLUX.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/jK75d8i1x5hAHSYSsJNBd.png" alt="Training configuration" style="max-height: 500px; width: auto;">
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Total step count is being 500 * 114 / 4 (4x GPU - batch size 1) = 14250
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Will save a checkpoint once every 25 epochs
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1 : https://youtu.be/bupRePUOA18
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This is a training of a public LoRA style (4 seperate training each on 4x A6000).
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Experimenting captions vs non-captions. So we will see which yields best results for style training on FLUX.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/jK75d8i1x5hAHSYSsJNBd.png" alt="Training configuration" style="max-height: 500px; width: auto;">
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## Inconsistent Dataset Training
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This is the first training I made with the below dataset
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[Inconsistent-Training-Dataset-Images-Grid.jpg](https://huggingface.co/MonsterMMORPG/3D-Cartoon-Style-FLUX/resolve/main/Inconsistent-Training-Dataset-Images-Grid.jpg)
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When you pay attention to the grid image above shared, you will see that the dataset is not consistent
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It has total 114 images
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This training total step count was 500 * 114 / 4 (4x GPU - batch size 1) = 14250
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It took like 37 hours on 4x RTX A6000 GPU with slow config - faster config would take like half
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There were 2 trainings made with this dataset. Epoch 500 checkpoints are named as below
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SECourses_Style_Inconsistent_DATASET_NO_Captions.safetensors
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SECourses_Style_Inconsistent_DATASET_With_Captions.safetensors
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Their checkpoints are saved in below folders
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Training-Checkpoints-NO-Captions
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Training-Checkpoints-With-Captions
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Its grid results are shared below
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https://huggingface.co/MonsterMMORPG/3D-Cartoon-Style-FLUX/resolve/main/Inconsistent-Training-Dataset-Results-Grid-26100x23700px.jpg
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When you pay attention to above image you will see that it has inconsistent results
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1 : https://youtu.be/bupRePUOA18
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