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Repository: bryandlee/stylegan2-encoder-pytorch
Branch: master
Commit: a07b25cc0ba1
Files: 15
Total size: 4.9 MB
Directory structure:
gitextract_5yz5r0ha/
├── LICENSE
├── LICENSE-KSH
├── LICENSE-NVIDIA
├── README.md
├── dataset.py
├── interpolate.ipynb
├── model.py
├── op/
│ ├── __init__.py
│ ├── fused_act.py
│ ├── fused_bias_act.cpp
│ ├── fused_bias_act_kernel.cu
│ ├── upfirdn2d.cpp
│ ├── upfirdn2d.py
│ └── upfirdn2d_kernel.cu
└── train_encoder.py
================================================
FILE CONTENTS
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================================================
FILE: LICENSE
================================================
MIT License
Copyright (c) 2020 Bryan Lee
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
================================================
FILE: LICENSE-KSH
================================================
MIT License
Copyright (c) 2019 Kim Seonghyeon
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
================================================
FILE: LICENSE-NVIDIA
================================================
Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
Nvidia Source Code License-NC
=======================================================================
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================================================
FILE: README.md
================================================
# In-Domain GAN Inversion for Real Image Editing
Based on **Seonghyeon Kim's Pytorch Implementation of StyleGAN2**
[[Paper](https://arxiv.org/pdf/2004.00049.pdf)] [[Official Code](https://github.com/genforce/idinvert)] [[StyleGAN2 Pytorch](https://github.com/rosinality/stylegan2-pytorch)]
## Train Encoder
```
python train_encoder.py
```
**0k iter**\
<img src="./imgs/0k.png" width="960">
**1M iter**\
<img src="./imgs/1M.png" width="960">\
[[encoder checkpoint](https://drive.google.com/file/d/1QQuZGtHgD24Dn5E21Z2Ik25EPng58MoU/view?usp=sharing)] [[generator checkpoint](https://drive.google.com/file/d/1TH77dUsqcq50htIZT6DljFYr4T_ziJli/view)]
**Note:** The encoder architecture and loss weights are different from the original implemetation.
## Interpolation
```
interpolate.ipynb
```
**Domain-Guided Encoder (Initial projection)**\
<img src="./imgs/interpolation_domain_guided_encoder.png" width="360">
**In-Domain Inversion (500 steps)**\
<img src="./imgs/interpolation_idinversion_500steps.png" width="360">
**Inperpolation Result**\
<img src="./imgs/interpolation_results.png" width="960">
## Encoder + Model Interpolation
[[Paper](https://arxiv.org/abs/2010.05334)] [[Naver Webtoon Model](https://github.com/bryandlee/naver-webtoon-faces#stylegan2)]
<img src="./imgs/face2webtoon.png" width="960">
================================================
FILE: dataset.py
================================================
import argparse
from io import BytesIO
import multiprocessing
from functools import partial
from PIL import Image
import lmdb
from tqdm import tqdm
from torchvision import datasets
from torchvision.transforms import functional as trans_fn
from torch.utils.data import Dataset
class MultiResolutionDataset(Dataset):
def __init__(self, path, transform, resolution=256):
self.env = lmdb.open(
path,
max_readers=32,
readonly=True,
lock=False,
readahead=False,
meminit=False,
)
if not self.env:
raise IOError('Cannot open lmdb dataset', path)
with self.env.begin(write=False) as txn:
self.length = int(txn.get('length'.encode('utf-8')).decode('utf-8'))
self.resolution = resolution
self.transform = transform
def __len__(self):
return self.length
def __getitem__(self, index):
with self.env.begin(write=False) as txn:
key = f'{self.resolution}-{str(index).zfill(5)}'.encode('utf-8')
img_bytes = txn.get(key)
buffer = BytesIO(img_bytes)
img = Image.open(buffer)
img = self.transform(img)
return img
def resize_and_convert(img, size, resample, quality=100):
img = trans_fn.resize(img, size, resample)
img = trans_fn.center_crop(img, size)
buffer = BytesIO()
img.save(buffer, format='jpeg', quality=quality)
val = buffer.getvalue()
return val
def resize_multiple(img, sizes=(128, 256, 512, 1024), resample=Image.LANCZOS, quality=100):
imgs = []
for size in sizes:
imgs.append(resize_and_convert(img, size, resample, quality))
return imgs
def resize_worker(img_file, sizes, resample):
i, file = img_file
img = Image.open(file)
img = img.convert('RGB')
out = resize_multiple(img, sizes=sizes, resample=resample)
return i, out
def prepare(env, dataset, n_worker, sizes=(128, 256, 512, 1024), resample=Image.LANCZOS):
resize_fn = partial(resize_worker, sizes=sizes, resample=resample)
files = sorted(dataset.imgs, key=lambda x: x[0])
files = [(i, file) for i, (file, label) in enumerate(files)]
total = 0
with multiprocessing.Pool(n_worker) as pool:
for i, imgs in tqdm(pool.imap_unordered(resize_fn, files)):
for size, img in zip(sizes, imgs):
key = f'{size}-{str(i).zfill(5)}'.encode('utf-8')
with env.begin(write=True) as txn:
txn.put(key, img)
total += 1
with env.begin(write=True) as txn:
txn.put('length'.encode('utf-8'), str(total).encode('utf-8'))
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--out', type=str)
parser.add_argument('--size', type=str, default='128,256,512,1024')
parser.add_argument('--n_worker', type=int, default=8)
parser.add_argument('--resample', type=str, default='lanczos')
parser.add_argument('path', type=str)
args = parser.parse_args()
resample_map = {'lanczos': Image.LANCZOS, 'bilinear': Image.BILINEAR}
resample = resample_map[args.resample]
sizes = [int(s.strip()) for s in args.size.split(',')]
print(f'Make dataset of image sizes:', ', '.join(str(s) for s in sizes))
imgset = datasets.ImageFolder(args.path)
with lmdb.open(args.out, map_size=1024 ** 4, readahead=False) as env:
prepare(env, imgset, args.n_worker, sizes=sizes, resample=resample)
================================================
FILE: interpolate.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### [Load Models]"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[generator loaded]\n",
"[encoder loaded]\n",
"generated samples:\n"
]
},
{
"data": {
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
gitextract_5yz5r0ha/ ├── LICENSE ├── LICENSE-KSH ├── LICENSE-NVIDIA ├── README.md ├── dataset.py ├── interpolate.ipynb ├── model.py ├── op/ │ ├── __init__.py │ ├── fused_act.py │ ├── fused_bias_act.cpp │ ├── fused_bias_act_kernel.cu │ ├── upfirdn2d.cpp │ ├── upfirdn2d.py │ └── upfirdn2d_kernel.cu └── train_encoder.py
SYMBOL INDEX (97 symbols across 7 files)
FILE: dataset.py
class MultiResolutionDataset (line 14) | class MultiResolutionDataset(Dataset):
method __init__ (line 15) | def __init__(self, path, transform, resolution=256):
method __len__ (line 34) | def __len__(self):
method __getitem__ (line 37) | def __getitem__(self, index):
function resize_and_convert (line 49) | def resize_and_convert(img, size, resample, quality=100):
function resize_multiple (line 59) | def resize_multiple(img, sizes=(128, 256, 512, 1024), resample=Image.LAN...
function resize_worker (line 68) | def resize_worker(img_file, sizes, resample):
function prepare (line 77) | def prepare(env, dataset, n_worker, sizes=(128, 256, 512, 1024), resampl...
FILE: model.py
class PixelNorm (line 14) | class PixelNorm(nn.Module):
method __init__ (line 15) | def __init__(self):
method forward (line 18) | def forward(self, input):
function make_kernel (line 22) | def make_kernel(k):
class Upsample (line 33) | class Upsample(nn.Module):
method __init__ (line 34) | def __init__(self, kernel, factor=2):
method forward (line 48) | def forward(self, input):
class Downsample (line 54) | class Downsample(nn.Module):
method __init__ (line 55) | def __init__(self, kernel, factor=2):
method forward (line 69) | def forward(self, input):
class Blur (line 75) | class Blur(nn.Module):
method __init__ (line 76) | def __init__(self, kernel, pad, upsample_factor=1):
method forward (line 88) | def forward(self, input):
class EqualConv2d (line 94) | class EqualConv2d(nn.Module):
method __init__ (line 95) | def __init__(
method forward (line 114) | def forward(self, input):
method __repr__ (line 125) | def __repr__(self):
class EqualLinear (line 132) | class EqualLinear(nn.Module):
method __init__ (line 133) | def __init__(
method forward (line 151) | def forward(self, input):
method __repr__ (line 163) | def __repr__(self):
class ScaledLeakyReLU (line 169) | class ScaledLeakyReLU(nn.Module):
method __init__ (line 170) | def __init__(self, negative_slope=0.2):
method forward (line 175) | def forward(self, input):
class ModulatedConv2d (line 181) | class ModulatedConv2d(nn.Module):
method __init__ (line 182) | def __init__(
method __repr__ (line 230) | def __repr__(self):
method forward (line 236) | def forward(self, input, style):
class NoiseInjection (line 280) | class NoiseInjection(nn.Module):
method __init__ (line 281) | def __init__(self):
method forward (line 286) | def forward(self, image, noise=None):
class ConstantInput (line 294) | class ConstantInput(nn.Module):
method __init__ (line 295) | def __init__(self, channel, size=4):
method forward (line 300) | def forward(self, input):
class StyledConv (line 307) | class StyledConv(nn.Module):
method __init__ (line 308) | def __init__(
method forward (line 335) | def forward(self, input, style, noise=None):
class ToRGB (line 344) | class ToRGB(nn.Module):
method __init__ (line 345) | def __init__(self, in_channel, style_dim, upsample=True, blur_kernel=[...
method forward (line 354) | def forward(self, input, style, skip=None):
class Generator (line 366) | class Generator(nn.Module):
method __init__ (line 367) | def __init__(
method make_noise (line 452) | def make_noise(self):
method mean_latent (line 463) | def mean_latent(self, n_latent):
method get_latent (line 471) | def get_latent(self, input):
method forward (line 474) | def forward(
class ConvLayer (line 548) | class ConvLayer(nn.Sequential):
method __init__ (line 549) | def __init__(
class ResBlock (line 597) | class ResBlock(nn.Module):
method __init__ (line 598) | def __init__(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1]):
method forward (line 608) | def forward(self, input):
class Discriminator (line 618) | class Discriminator(nn.Module):
method __init__ (line 619) | def __init__(self, size, channel_multiplier=2, blur_kernel=[1, 3, 3, 1]):
method forward (line 658) | def forward(self, input):
class Encoder (line 679) | class Encoder(nn.Module):
method __init__ (line 680) | def __init__(self, size, w_dim=512):
method forward (line 712) | def forward(self, input):
FILE: op/fused_act.py
class FusedLeakyReLUFunctionBackward (line 20) | class FusedLeakyReLUFunctionBackward(Function):
method forward (line 22) | def forward(ctx, grad_output, out, negative_slope, scale):
method backward (line 43) | def backward(ctx, gradgrad_input, gradgrad_bias):
class FusedLeakyReLUFunction (line 52) | class FusedLeakyReLUFunction(Function):
method forward (line 54) | def forward(ctx, input, bias, negative_slope, scale):
method backward (line 64) | def backward(ctx, grad_output):
class FusedLeakyReLU (line 74) | class FusedLeakyReLU(nn.Module):
method __init__ (line 75) | def __init__(self, channel, negative_slope=0.2, scale=2 ** 0.5):
method forward (line 82) | def forward(self, input):
function fused_leaky_relu (line 86) | def fused_leaky_relu(input, bias, negative_slope=0.2, scale=2 ** 0.5):
FILE: op/fused_bias_act.cpp
function fused_bias_act (line 11) | torch::Tensor fused_bias_act(const torch::Tensor& input, const torch::Te...
function PYBIND11_MODULE (line 19) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
FILE: op/upfirdn2d.cpp
function upfirdn2d (line 12) | torch::Tensor upfirdn2d(const torch::Tensor& input, const torch::Tensor&...
function PYBIND11_MODULE (line 21) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
FILE: op/upfirdn2d.py
class UpFirDn2dBackward (line 19) | class UpFirDn2dBackward(Function):
method forward (line 21) | def forward(
method backward (line 63) | def backward(ctx, gradgrad_input):
class UpFirDn2d (line 88) | class UpFirDn2d(Function):
method forward (line 90) | def forward(ctx, input, kernel, up, down, pad):
method backward (line 127) | def backward(ctx, grad_output):
function upfirdn2d (line 145) | def upfirdn2d(input, kernel, up=1, down=1, pad=(0, 0)):
function upfirdn2d_native (line 159) | def upfirdn2d_native(
FILE: train_encoder.py
function data_sampler (line 25) | def data_sampler(dataset, shuffle):
function requires_grad (line 33) | def requires_grad(model, flag=True):
function sample_data (line 38) | def sample_data(loader):
function d_logistic_loss (line 44) | def d_logistic_loss(real_pred, fake_pred):
function d_r1_loss (line 51) | def d_r1_loss(real_pred, real_img):
function g_nonsaturating_loss (line 60) | def g_nonsaturating_loss(fake_pred):
class VGGLoss (line 66) | class VGGLoss(nn.Module):
method __init__ (line 67) | def __init__(self, device, n_layers=5):
method forward (line 89) | def forward(self, source, target):
function train (line 100) | def train(args, loader, encoder, generator, discriminator, e_optim, d_op...
Condensed preview — 15 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (5,189K chars).
[
{
"path": "LICENSE",
"chars": 1066,
"preview": "MIT License\n\nCopyright (c) 2020 Bryan Lee\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\n"
},
{
"path": "LICENSE-KSH",
"chars": 1071,
"preview": "MIT License\n\nCopyright (c) 2019 Kim Seonghyeon\n\nPermission is hereby granted, free of charge, to any person obtaining a "
},
{
"path": "LICENSE-NVIDIA",
"chars": 4767,
"preview": "Copyright (c) 2019, NVIDIA Corporation. All rights reserved.\r\n\r\n\r\nNvidia Source Code License-NC\r\n\r\n====================="
},
{
"path": "README.md",
"chars": 1328,
"preview": "# In-Domain GAN Inversion for Real Image Editing\n\n\nBased on **Seonghyeon Kim's Pytorch Implementation of StyleGAN2**\n\n[["
},
{
"path": "dataset.py",
"chars": 3531,
"preview": "import argparse\nfrom io import BytesIO\nimport multiprocessing\nfrom functools import partial\n\nfrom PIL import Image\nimpor"
},
{
"path": "interpolate.ipynb",
"chars": 5116912,
"preview": "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"### [Load Models]\"\n ]\n },\n {\n "
},
{
"path": "model.py",
"chars": 19360,
"preview": "import math\nimport random\nimport functools\nimport operator\n\nimport torch\nfrom torch import nn\nfrom torch.nn import funct"
},
{
"path": "op/__init__.py",
"chars": 89,
"preview": "from .fused_act import FusedLeakyReLU, fused_leaky_relu\nfrom .upfirdn2d import upfirdn2d\n"
},
{
"path": "op/fused_act.py",
"chars": 2787,
"preview": "import os\r\n\r\nimport torch\r\nfrom torch import nn\r\nfrom torch.nn import functional as F\r\nfrom torch.autograd import Functi"
},
{
"path": "op/fused_bias_act.cpp",
"chars": 846,
"preview": "#include <torch/extension.h>\r\n\r\n\r\ntorch::Tensor fused_bias_act_op(const torch::Tensor& input, const torch::Tensor& bias,"
},
{
"path": "op/fused_bias_act_kernel.cu",
"chars": 2875,
"preview": "// Copyright (c) 2019, NVIDIA Corporation. All rights reserved.\r\n//\r\n// This work is made available under the Nvidia Sou"
},
{
"path": "op/upfirdn2d.cpp",
"chars": 988,
"preview": "#include <torch/extension.h>\r\n\r\n\r\ntorch::Tensor upfirdn2d_op(const torch::Tensor& input, const torch::Tensor& kernel,\r\n "
},
{
"path": "op/upfirdn2d.py",
"chars": 5872,
"preview": "import os\r\n\r\nimport torch\r\nfrom torch.nn import functional as F\r\nfrom torch.autograd import Function\r\nfrom torch.utils.c"
},
{
"path": "op/upfirdn2d_kernel.cu",
"chars": 12079,
"preview": "// Copyright (c) 2019, NVIDIA Corporation. All rights reserved.\r\n//\r\n// This work is made available under the Nvidia Sou"
},
{
"path": "train_encoder.py",
"chars": 10264,
"preview": "import argparse\nimport math\nimport random\nimport os\n\nimport numpy as np\nimport torch\nfrom torch import nn, autograd, opt"
}
]
About this extraction
This page contains the full source code of the bryandlee/stylegan2-encoder-pytorch GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 15 files (4.9 MB), approximately 1.3M tokens, and a symbol index with 97 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.