| from bs4 import BeautifulSoup |
| import requests |
|
|
|
|
| def model_url_list(): |
| url_list = [] |
| for i in range(0, 5): |
| url_list.append( |
| f"https://huggingface.co/models?p={i}&sort=downloads&search=dreambooth") |
| return url_list |
|
|
|
|
| def data_scraping(url_list): |
| model_list = [] |
| for url in url_list: |
| response = requests.get(url) |
| soup = BeautifulSoup(response.text, "html.parser") |
| div_class = 'grid grid-cols-1 gap-5 2xl:grid-cols-2' |
| div = soup.find('div', {'class': div_class}) |
| for a in div.find_all('a', href=True): |
| model_list.append(a['href']) |
| return model_list |
|
|
|
|
| def get_model_list(): |
| model_list = data_scraping(model_url_list()) |
| for i in range(len(model_list)): |
| model_list[i] = model_list[i][1:] |
|
|
| best_model_list = [ |
| "dreamlike-art/dreamlike-photoreal-2.0", |
| "dreamlike-art/dreamlike-diffusion-1.0", |
| "runwayml/stable-diffusion-v1-5", |
| "CompVis/stable-diffusion-v1-4", |
| "prompthero/openjourney", |
| ] |
|
|
| model_list = best_model_list + model_list |
| return model_list |
|
|
