| import torch | |
| from PIL import Image | |
| from diffusers import StableDiffusionImg2ImgPipeline | |
| model_id = "CompVis/stable-diffusion-v1-4" | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| pipeline = StableDiffusionImg2ImgPipeline.from_pretrained(model_id) | |
| pipeline = pipeline.to(device) |
| INSERT INTO `countries` (`id`, `phone_code`, `country_code`, `country_name`) VALUES | |
| (1, 93, 'AF', 'Afghanistan'), | |
| (2, 358, 'AX', 'Aland Islands'), | |
| (3, 355, 'AL', 'Albania'), | |
| (4, 213, 'DZ', 'Algeria'), | |
| (5, 1684, 'AS', 'American Samoa'), | |
| (6, 376, 'AD', 'Andorra'), | |
| (7, 244, 'AO', 'Angola'), | |
| (8, 1264, 'AI', 'Anguilla'), | |
| (9, 672, 'AQ', 'Antarctica'), |