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Lip Biting

104 portrait images for training a LoRA on a lip-biting expression. Trigger word: lpb1te.

This is the training set exactly as it was used, published to get feedback on curating it.

Contents

Images 104 (102 PNG, 2 JPEG)
Typical size 1024×1536 portrait (87 of the images). 12 are 1024×1024; the other 5 range from 3:2 landscape to 4:5 portrait.
Subjects Women, head and shoulders, clothed, biting or pressing the lower lip, often smiling
Captions None yet
Metadata Stripped (EXIF removed from the two JPEGs; the PNGs carried none)

Usage

from datasets import load_dataset

ds = load_dataset("abide1622/lip-biting", split="train")  # one "image" column

To train, caption each image (a short description, plus lpb1te where the expression should be learned) as same-named .txt files, or as a metadata.jsonl with file_name and text columns in data/train/.

Known limitations

  • No captions. Every image teaches the trigger word the whole picture (face, hair, lighting), not just the expression.
  • Narrow subject range. All the subjects are young women, the framing is similar throughout, and many share a warm studio look. A LoRA trained on this set will carry that bias.
  • Near-duplicates. Several images show the same subject and pose with small variations.

Feedback

Suggestions on what to remove, add or caption are welcome. Please open a discussion.

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