| """Caption templates. |
| |
| A single fixed template would teach the LoRA to render text only inside that |
| one sentence, and would fight other checkpoints' prompting styles -- which |
| directly undermines the plug-and-play goal. So: the scene wording varies, and |
| the quoted Hindi string is the one invariant anchor. |
| """ |
| from __future__ import annotations |
|
|
| import random |
|
|
| |
| NAMED = [ |
| 'a sign with the Hindi text "{t}"', |
| 'a photo of a sign reading "{t}" in Hindi', |
| 'Hindi text "{t}" on a {surface}', |
| 'a {surface} with Hindi writing "{t}"', |
| 'Devanagari text "{t}" on a {surface}', |
| '"{t}" written in Hindi on a {surface}', |
| ] |
|
|
| |
| |
| UNNAMED = [ |
| 'a {surface} with the text "{t}"', |
| 'a sign that reads "{t}"', |
| '"{t}" printed on a {surface}', |
| 'text "{t}" on a {surface}', |
| ] |
|
|
| SURFACES = [ |
| "sign", "signboard", "poster", "banner", "shop sign", "plaque", |
| "billboard", "notice board", "label", "book cover", "wall", "board", |
| ] |
|
|
| STYLES = [ |
| "", "", "", "", |
| ", photograph", ", high resolution", ", sharp focus", |
| ", clean design", ", studio lighting", ", flat design", |
| ] |
|
|
|
|
| def make_caption(text: str, rng: random.Random) -> str: |
| named = rng.random() > 0.20 |
| tpl = rng.choice(NAMED if named else UNNAMED) |
| cap = tpl.format(t=text, surface=rng.choice(SURFACES)) |
| return cap + rng.choice(STYLES) |
|
|
