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| 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 | |