bala1802/StableDiffusionModel
0
1import torch2from diffusers import DiffusionPipeline3import config4 5def initialize_diffusion_model():6 pretrained_model_name_or_path = config.STABLE_DIFFUSION_MODEL7 pipe = DiffusionPipeline.from_pretrained(pretrained_model_name_or_path,8 torch_dtype=torch.float16).to(config.DEVICE)9 10 pipe.load_textual_inversion("sd-concepts-library/dreams")11 pipe.load_textual_inversion("sd-concepts-library/midjourney-style") 12 pipe.load_textual_inversion("sd-concepts-library/moebius") 13 pipe.load_textual_inversion("sd-concepts-library/style-of-marc-allante") 14 pipe.load_textual_inversion("sd-concepts-library/wlop-style")15 16 return pipe