---
license: cc-by-nc-4.0
pretty_name: Lip Biting
task_categories:
  - text-to-image
tags:
  - lora
  - lora-training
  - image
  - portrait
  - facial-expression
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train/*
---

# 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

```python
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.