├── .github ├── case1.jpg ├── case2.jpg ├── case3.jpg └── preview.jpg ├── .gitignore ├── LICENSE ├── README.md ├── assets └── image │ ├── 01.png │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ ├── 05.jpg │ └── logo.png ├── docker └── Dockerfile ├── scripts └── build.sh ├── src ├── app.py └── code-fix.py └── weights └── .gitkeep /.github/case1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/soulteary/docker-codeformer/494449ef21290d440f0c399524b19ceb12d0a033/.github/case1.jpg -------------------------------------------------------------------------------- /.github/case2.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/soulteary/docker-codeformer/494449ef21290d440f0c399524b19ceb12d0a033/.github/case2.jpg -------------------------------------------------------------------------------- /.github/case3.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/soulteary/docker-codeformer/494449ef21290d440f0c399524b19ceb12d0a033/.github/case3.jpg -------------------------------------------------------------------------------- /.github/preview.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/soulteary/docker-codeformer/494449ef21290d440f0c399524b19ceb12d0a033/.github/preview.jpg -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_Store -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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-------------------------------------------------------------------------------- 1 | # Docker CodeFormer 2 | 3 | 快速体验 & 上手 CodeFormer。 4 | 5 | ![](.github/preview.jpg) 6 | 7 | ## 使用教程 8 | 9 | 《[Stable Diffusion 硬核生存指南：WebUI 中的 CodeFormer](https://soulteary.com/2023/08/02/stable-diffusion-hardcore-survival-guide-codeformer-in-webui.html)》 10 | 11 | 12 | ## 快速上手 13 | 14 | 从 `Docker CodeFormer` 项目下载代码，并进入项目目录： 15 | 16 | ```bash 17 | git clone https://github.com/soulteary/docker-codeformer.git 18 | 19 | cd docker-codeformer 20 | ``` 21 | 22 | 执行项目中的镜像构建工具： 23 | 24 | ```bash 25 | scripts/build.sh 26 | ``` 27 | 28 | 在完成基础镜像构建之后，可以从[网盘下载](https://pan.baidu.com/s/1rxaHRyYuff1gbt-g1y6DNA?pwd=soul) `weights.zip`。 29 | 30 | 模型应用运行需要的所有模型都在这里了，下载完毕后，解压缩模型压缩包，将 `CodeFormer`、`facelib`、`realesrgan` 三个目录放置到 `weights` 目录中，完整的项目结构这样的： 31 | 32 | ```bash 33 | ├── LICENSE 34 | ├── README.md 35 | ├── assets 36 | │ └── image 37 | ├── docker 38 | │ └── Dockerfile 39 | ├── scripts 40 | │ └── build.sh 41 | ├── src 42 | │ ├── app.py 43 | │ └── code-fix.py 44 | └── weights 45 | ├── CodeFormer 46 | ├── facelib 47 | └── realesrgan 48 | ``` 49 | 50 | 准备好模型文件之后，使用下面的命令启动模型应用： 51 | 52 | ```bash 53 | docker run --gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 --rm -it -v `pwd`/weights/:/app/CodeFormer/weights -p 7860:7860 soulteary/docker-codeformer 54 | ``` 55 | 56 | 稍等片刻，我们将看到类似下面的日志： 57 | 58 | ```bash 59 | Running on local URL: http://0.0.0.0:7860 60 | 61 | To create a public link, set `share=True` in `launch()`. 62 | ``` 63 | 64 | 接着，我们就可以打开浏览器访问 `http://localhost:7860` 或者 `http://你的IP地址:7860` 来试试看啦。 65 | 66 | 67 | ## 处理图片对比 68 | 69 | ![](.github/case1.jpg) 70 | 71 | ![](.github/case2.jpg) 72 | 73 | ![](.github/case3.jpg) 74 | 75 | ## 相关项目 76 | 77 | - [sczhou/CodeFormer](https://github.com/sczhou/CodeFormer) 78 | -------------------------------------------------------------------------------- /assets/image/01.png: 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-------------------------------------------------------------------------------- 1 | FROM nvcr.io/nvidia/pytorch:23.04-py3 2 | LABEL org.opencontainers.image.authors="soulteary@gmail.com" 3 | 4 | RUN pip install gradio==3.39.0 lpips==0.1.4 5 | 6 | WORKDIR /app 7 | RUN git clone https://github.com/sczhou/CodeFormer.git && \ 8 | cd CodeFormer && \ 9 | git checkout 8392d0334956108ab53d9439c4b9fc9c4af0d66d 10 | 11 | WORKDIR /app/CodeFormer/ 12 | COPY assets ./assets 13 | COPY src/*.py ./ 14 | RUN python code-fix.py 15 | CMD ["python", "app.py"] -------------------------------------------------------------------------------- /scripts/build.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | docker build -t soulteary/docker-codeformer . -f docker/Dockerfile -------------------------------------------------------------------------------- /src/app.py: -------------------------------------------------------------------------------- 1 | """ 2 | inspired by https://huggingface.co/spaces/sczhou/CodeFormer 3 | """ 4 | import os 5 | import cv2 6 | import torch 7 | import gradio as gr 8 | 9 | from torchvision.transforms.functional import normalize 10 | 11 | from basicsr.archs.rrdbnet_arch import RRDBNet 12 | from basicsr.utils import imwrite, img2tensor, tensor2img 13 | from basicsr.utils.misc import gpu_is_available, get_device 14 | from basicsr.utils.realesrgan_utils import RealESRGANer 15 | from basicsr.utils.registry import ARCH_REGISTRY 16 | 17 | from facelib.utils.face_restoration_helper import FaceRestoreHelper 18 | from facelib.utils.misc import is_gray 19 | 20 | model_realesrgan = "weights/realesrgan/RealESRGAN_x2plus.pth" 21 | model_codeformer = "weights/CodeFormer/codeformer.pth" 22 | model_detection = "retinaface_resnet50" 23 | device = get_device() 24 | 25 | def set_realesrgan(): 26 | model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=2) 27 | upsampler = RealESRGANer(model_path=model_realesrgan, model=model, tile=400, tile_pad=40, pre_pad=0, half=True if gpu_is_available() else False, scale=2) 28 | return upsampler 29 | 30 | def set_codeformer_net(): 31 | model = ARCH_REGISTRY.get("CodeFormer")(dim_embd=512, codebook_size=1024, n_head=8, n_layers=9, connect_list=["32", "64", "128", "256"]).to(device) 32 | model.load_state_dict(torch.load(model_codeformer)["params_ema"]) 33 | model.eval() 34 | return model 35 | 36 | def set_face_helper(upscale): 37 | face_helper = FaceRestoreHelper(upscale, face_size=512, crop_ratio=(1, 1), det_model=model_detection, save_ext="png", use_parse=True, device=device) 38 | return face_helper 39 | 40 | def set_upscale(upscale, img): 41 | upscale = int(upscale) 42 | if upscale > 4: 43 | upscale = 4 44 | if upscale > 2 and max(img.shape[:2])>1000: 45 | upscale = 2 46 | if max(img.shape[:2]) > 1500 or upscale <= 0: 47 | upscale = 1 48 | return upscale 49 | 50 | codeformer_net = set_codeformer_net() 51 | upsampler = set_realesrgan() 52 | 53 | os.makedirs('output', exist_ok=True) 54 | 55 | def inference(image, background_enhance, face_upsample, upscale, codeformer_fidelity): 56 | try: 57 | has_aligned = False 58 | only_center_face = False 59 | draw_box = False 60 | print('Inp:', image, background_enhance, face_upsample, upscale, codeformer_fidelity) 61 | 62 | img = cv2.imread(str(image), cv2.IMREAD_COLOR) 63 | print('\timage size:', img.shape) 64 | 65 | upscale = set_upscale(upscale, img) 66 | if upscale == 1: 67 | background_enhance = False 68 | face_upsample = False 69 | 70 | face_helper = set_face_helper(upscale) 71 | bg_upsampler = upsampler if background_enhance else None 72 | face_upsampler = upsampler if face_upsample else None 73 | 74 | if has_aligned: 75 | img = cv2.resize(img, (512, 512), interpolation=cv2.INTER_LINEAR) 76 | face_helper.is_gray = is_gray(img, threshold=5) 77 | if face_helper.is_gray: 78 | print('\tgrayscale input: True') 79 | face_helper.cropped_faces = [img] 80 | else: 81 | face_helper.read_image(img) 82 | num_det_faces = face_helper.get_face_landmarks_5(only_center_face=only_center_face, resize=640, eye_dist_threshold=5) 83 | print(f'\tdetect {num_det_faces} faces') 84 | face_helper.align_warp_face() 85 | 86 | for idx, cropped_face in enumerate(face_helper.cropped_faces): 87 | cropped_face_t = img2tensor(cropped_face / 255.0, bgr2rgb=True, float32=True) 88 | normalize(cropped_face_t, (0.5, 0.5, 0.5), (0.5, 0.5, 0.5), inplace=True) 89 | cropped_face_t = cropped_face_t.unsqueeze(0).to(device) 90 | 91 | try: 92 | with torch.no_grad(): 93 | output = codeformer_net(cropped_face_t, w=codeformer_fidelity, adain=True)[0] 94 | restored_face = tensor2img(output, rgb2bgr=True, min_max=(-1, 1)) 95 | del output 96 | torch.cuda.empty_cache() 97 | except RuntimeError as error: 98 | print(f"Failed inference for CodeFormer: {error}") 99 | restored_face = tensor2img(cropped_face_t, rgb2bgr=True, min_max=(-1, 1)) 100 | 101 | restored_face = restored_face.astype("uint8") 102 | face_helper.add_restored_face(restored_face) 103 | 104 | if not has_aligned: 105 | if bg_upsampler is not None: 106 | bg_img = bg_upsampler.enhance(img, outscale=upscale)[0] 107 | else: 108 | bg_img = None 109 | face_helper.get_inverse_affine(None) 110 | if face_upsample and face_upsampler is not None: 111 | restored_img = face_helper.paste_faces_to_input_image(upsample_img=bg_img, draw_box=draw_box, face_upsampler=face_upsampler) 112 | else: 113 | restored_img = face_helper.paste_faces_to_input_image(upsample_img=bg_img, draw_box=draw_box) 114 | 115 | save_path = f'output/out.png' 116 | imwrite(restored_img, str(save_path)) 117 | 118 | restored_img = cv2.cvtColor(restored_img, cv2.COLOR_BGR2RGB) 119 | return restored_img, save_path 120 | except Exception as error: 121 | print('Global exception', error) 122 | return None, None 123 | 124 | app = gr.Interface( 125 | inference, [ 126 | gr.inputs.Image(type="filepath", label="Input"), 127 | gr.inputs.Checkbox(default=True, label="Background_Enhance"), 128 | gr.inputs.Checkbox(default=True, label="Face_Upsample"), 129 | gr.inputs.Number(default=2, label="Rescaling_Factor (up to 4)"), 130 | gr.Slider(0, 1, value=0.5, step=0.01, label='Codeformer_Fidelity (0 for better quality, 1 for better identity)') 131 | ], [ 132 | gr.Image(type="numpy", visible=True, elem_id="img-refiner"), 133 | gr.File(label="Download the output", elem_id="download") 134 | ], 135 | title="CodeFormer - 强大的面部恢复和增强网络", 136 | description="
CodeFormer logo

Official Gradio demo for Towards Robust Blind Face Restoration with Codebook Lookup Transformer (NeurIPS 2022)

source code: soulteary/docker-codeformer

", 137 | article="

written by: @soulteary

", 138 | examples=[ 139 | ['assets/image/01.png', True, True, 2, 0.7], 140 | ['assets/image/02.jpg', True, True, 2, 0.7], 141 | ['assets/image/03.jpg', True, True, 2, 0.7], 142 | ['assets/image/04.jpg', True, True, 2, 0.1], 143 | ['assets/image/05.jpg', True, True, 2, 0.1] 144 | ], 145 | ) 146 | app.queue(concurrency_count=2) 147 | app.launch(server_name="0.0.0.0") -------------------------------------------------------------------------------- /src/code-fix.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | def read_file(filepath): 4 | file = open(filepath, "r") 5 | content = file.read() 6 | file.close() 7 | return content 8 | 9 | def save_file(filepath, content): 10 | file = open(filepath, "w") 11 | file.write(content) 12 | file.close() 13 | 14 | def fix_version_check(content): 15 | regex = r"^IS_HIGH_VERSION\s=\s[\s\S]+\s>=\s\[\d+\,\s\d+\,\s\d+\]$" 16 | return re.sub(regex, "IS_HIGH_VERSION = True", content, 0, re.MULTILINE) 17 | 18 | def fix_version_import(content): 19 | regex = r"from .version import __gitsha__, __version__" 20 | return re.sub(regex, "", content, 0, re.MULTILINE) 21 | 22 | def uncomment_version_check(content): 23 | regex = r"# IS_HIGH_VERSION = True" 24 | return re.sub(regex, "IS_HIGH_VERSION = True", content, 0, re.MULTILINE) 25 | 26 | basicsr_utils_misc = "basicsr/utils/misc.py" 27 | save_file(basicsr_utils_misc, fix_version_check(read_file(basicsr_utils_misc))) 28 | 29 | basicsr_version_import = "basicsr/__init__.py" 30 | save_file(basicsr_version_import, fix_version_import(read_file(basicsr_version_import))) 31 | 32 | facelib_yolov5face = "facelib/detection/yolov5face/face_detector.py" 33 | save_file(facelib_yolov5face, fix_version_check(read_file(facelib_yolov5face))) -------------------------------------------------------------------------------- /weights/.gitkeep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/soulteary/docker-codeformer/494449ef21290d440f0c399524b19ceb12d0a033/weights/.gitkeep --------------------------------------------------------------------------------