cymic/Waifu_Diffusion_Webui

1import os2import sys3import traceback4 5import cv26import torch7 8import modules.face_restoration9import modules.shared10from modules import shared, devices, modelloader11from modules.paths import script_path, models_path12 13# codeformer people made a choice to include modified basicsr library to their project which makes14# it utterly impossible to use it alongside with other libraries that also use basicsr, like GFPGAN.15# I am making a choice to include some files from codeformer to work around this issue.16model_dir = "Codeformer"17model_path = os.path.join(models_path, model_dir)18model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth'19 20have_codeformer = False21codeformer = None22 23 24def setup_model(dirname):25    global model_path26    if not os.path.exists(model_path):27        os.makedirs(model_path)28 29    path = modules.paths.paths.get("CodeFormer", None)30    if path is None:31        return32 33    try:34        from torchvision.transforms.functional import normalize35        from modules.codeformer.codeformer_arch import CodeFormer36        from basicsr.utils.download_util import load_file_from_url37        from basicsr.utils import imwrite, img2tensor, tensor2img38        from facelib.utils.face_restoration_helper import FaceRestoreHelper39        from modules.shared import cmd_opts40 41        net_class = CodeFormer42 43        class FaceRestorerCodeFormer(modules.face_restoration.FaceRestoration):44            def name(self):45                return "CodeFormer"46 47            def __init__(self, dirname):48                self.net = None49                self.face_helper = None50                self.cmd_dir = dirname51 52            def create_models(self):53 54                if self.net is not None and self.face_helper is not None:55                    self.net.to(devices.device_codeformer)56                    return self.net, self.face_helper57                model_paths = modelloader.load_models(model_path, model_url, self.cmd_dir, download_name='codeformer-v0.1.0.pth')58                if len(model_paths) != 0:59                    ckpt_path = model_paths[0]60                else:61                    print("Unable to load codeformer model.")62                    return None, None63                net = net_class(dim_embd=512, codebook_size=1024, n_head=8, n_layers=9, connect_list=['32', '64', '128', '256']).to(devices.device_codeformer)64                checkpoint = torch.load(ckpt_path)['params_ema']65                net.load_state_dict(checkpoint)66                net.eval()67 68                face_helper = FaceRestoreHelper(1, face_size=512, crop_ratio=(1, 1), det_model='retinaface_resnet50', save_ext='png', use_parse=True, device=devices.device_codeformer)69 70                self.net = net71                self.face_helper = face_helper72 73                return net, face_helper74 75            def send_model_to(self, device):76                self.net.to(device)77                self.face_helper.face_det.to(device)78                self.face_helper.face_parse.to(device)79 80            def restore(self, np_image, w=None):81                np_image = np_image[:, :, ::-1]82 83                original_resolution = np_image.shape[0:2]84 85                self.create_models()86                if self.net is None or self.face_helper is None:87                    return np_image88 89                self.send_model_to(devices.device_codeformer)90 91                self.face_helper.clean_all()92                self.face_helper.read_image(np_image)93                self.face_helper.get_face_landmarks_5(only_center_face=False, resize=640, eye_dist_threshold=5)94                self.face_helper.align_warp_face()95 96                for idx, cropped_face in enumerate(self.face_helper.cropped_faces):97                    cropped_face_t = img2tensor(cropped_face / 255., bgr2rgb=True, float32=True)98                    normalize(cropped_face_t, (0.5, 0.5, 0.5), (0.5, 0.5, 0.5), inplace=True)99                    cropped_face_t = cropped_face_t.unsqueeze(0).to(devices.device_codeformer)100 101                    try:102                        with torch.no_grad():103                            output = self.net(cropped_face_t, w=w if w is not None else shared.opts.code_former_weight, adain=True)[0]104                            restored_face = tensor2img(output, rgb2bgr=True, min_max=(-1, 1))105                        del output106                        torch.cuda.empty_cache()107                    except Exception as error:108                        print(f'\tFailed inference for CodeFormer: {error}', file=sys.stderr)109                        restored_face = tensor2img(cropped_face_t, rgb2bgr=True, min_max=(-1, 1))110 111                    restored_face = restored_face.astype('uint8')112                    self.face_helper.add_restored_face(restored_face)113 114                self.face_helper.get_inverse_affine(None)115 116                restored_img = self.face_helper.paste_faces_to_input_image()117                restored_img = restored_img[:, :, ::-1]118 119                if original_resolution != restored_img.shape[0:2]:120                    restored_img = cv2.resize(restored_img, (0, 0), fx=original_resolution[1]/restored_img.shape[1], fy=original_resolution[0]/restored_img.shape[0], interpolation=cv2.INTER_LINEAR)121 122                self.face_helper.clean_all()123 124                if shared.opts.face_restoration_unload:125                    self.send_model_to(devices.cpu)126 127                return restored_img128 129        global have_codeformer130        have_codeformer = True131 132        global codeformer133        codeformer = FaceRestorerCodeFormer(dirname)134        shared.face_restorers.append(codeformer)135 136    except Exception:137        print("Error setting up CodeFormer:", file=sys.stderr)138        print(traceback.format_exc(), file=sys.stderr)139 140   # sys.path = stored_sys_path141