File size: 1,455 Bytes
8b7a3d1 c0a7c3c 8b7a3d1 c0a7c3c 8b7a3d1 c0a7c3c 8b7a3d1 c0a7c3c 8b7a3d1 c0a7c3c 8b7a3d1 c0a7c3c 8b7a3d1 c0a7c3c 8b7a3d1 c0a7c3c 8b7a3d1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
from __future__ import annotations
import pathlib
def find_exp_dirs() -> list[str]:
repo_dir = pathlib.Path(__file__).parent
exp_root_dir = repo_dir / 'experiments'
if not exp_root_dir.exists():
return []
exp_dirs = sorted(exp_root_dir.glob('*'))
exp_dirs = [
exp_dir for exp_dir in exp_dirs
if (exp_dir / 'model_index.json').exists()
]
return [path.relative_to(repo_dir).as_posix() for path in exp_dirs]
def save_model_card(
save_dir: pathlib.Path,
base_model: str,
training_prompt: str,
test_prompt: str = '',
test_image_dir: str = '',
) -> None:
image_str = ''
if test_prompt and test_image_dir:
image_paths = sorted((save_dir / test_image_dir).glob('*.gif'))
if image_paths:
image_path = image_paths[-1]
rel_path = image_path.relative_to(save_dir)
image_str = f'Test prompt: {test_prompt}\n' + f'\n'
model_card = f'''---
license: creativeml-openrail-m
base_model: {base_model}
training_prompt: {training_prompt}
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- text-to-video
- tune-a-video
inference: false
---
# Tune-A-Video - {save_dir.name}
Base model: [{base_model}](https://huggingface.co/{base_model}).
Training prompt: {training_prompt}
{image_str}
'''
with open(save_dir / 'README.md', 'w') as f:
f.write(model_card)
|