Update

.pre-commit-config.yaml

@@ -1,36 +1,60 @@
-exclude: ^stylegan3
 repos:
-- repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.2.0
-  hooks:
-  - id: check-executables-have-shebangs
-  - id: check-json
-  - id: check-merge-conflict
-  - id: check-shebang-scripts-are-executable
-  - id: check-toml
-  - id: check-yaml
-  - id: double-quote-string-fixer
-  - id: end-of-file-fixer
-  - id: mixed-line-ending
-    args: ['--fix=lf']
-  - id: requirements-txt-fixer
-  - id: trailing-whitespace
-- repo: https://github.com/myint/docformatter
-  rev: v1.4
-  hooks:
-  - id: docformatter
-    args: ['--in-place']
-- repo: https://github.com/pycqa/isort
-  rev: 5.12.0
-  hooks:
-    - id: isort
-- repo: https://github.com/pre-commit/mirrors-mypy
-  rev: v0.991
-  hooks:
-    - id: mypy
-      args: ['--ignore-missing-imports']
-- repo: https://github.com/google/yapf
-  rev: v0.32.0
-  hooks:
-  - id: yapf
-    args: ['--parallel', '--in-place']
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.5.0
+    hooks:
+      - id: check-executables-have-shebangs
+      - id: check-json
+      - id: check-merge-conflict
+      - id: check-shebang-scripts-are-executable
+      - id: check-toml
+      - id: check-yaml
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+        args: ["--fix=lf"]
+      - id: requirements-txt-fixer
+      - id: trailing-whitespace
+  - repo: https://github.com/myint/docformatter
+    rev: v1.7.5
+    hooks:
+      - id: docformatter
+        args: ["--in-place"]
+  - repo: https://github.com/pycqa/isort
+    rev: 5.13.2
+    hooks:
+      - id: isort
+        args: ["--profile", "black"]
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.8.0
+    hooks:
+      - id: mypy
+        args: ["--ignore-missing-imports"]
+        additional_dependencies:
+          [
+            "types-python-slugify",
+            "types-requests",
+            "types-PyYAML",
+            "types-pytz",
+          ]
+  - repo: https://github.com/psf/black
+    rev: 24.2.0
+    hooks:
+      - id: black
+        language_version: python3.10
+        args: ["--line-length", "119"]
+  - repo: https://github.com/kynan/nbstripout
+    rev: 0.7.1
+    hooks:
+      - id: nbstripout
+        args:
+          [
+            "--extra-keys",
+            "metadata.interpreter metadata.kernelspec cell.metadata.pycharm",
+          ]
+  - repo: https://github.com/nbQA-dev/nbQA
+    rev: 1.7.1
+    hooks:
+      - id: nbqa-black
+      - id: nbqa-pyupgrade
+        args: ["--py37-plus"]
+      - id: nbqa-isort
+        args: ["--float-to-top"]

.style.yapf

@@ -1,5 +0,0 @@
-[style]
-based_on_style = pep8
-blank_line_before_nested_class_or_def = false
-spaces_before_comment = 2
-split_before_logical_operator = true

.vscode/settings.json

@@ -0,0 +1,30 @@
+{
+    "editor.formatOnSave": true,
+    "files.insertFinalNewline": false,
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter",
+        "editor.formatOnType": true,
+        "editor.codeActionsOnSave": {
+            "source.organizeImports": "explicit"
+        }
+    },
+    "[jupyter]": {
+        "files.insertFinalNewline": false
+    },
+    "black-formatter.args": [
+        "--line-length=119"
+    ],
+    "isort.args": ["--profile", "black"],
+    "flake8.args": [
+        "--max-line-length=119"
+    ],
+    "ruff.lint.args": [
+        "--line-length=119"
+    ],
+    "notebook.output.scrolling": true,
+    "notebook.formatOnCellExecution": true,
+    "notebook.formatOnSave.enabled": true,
+        "notebook.codeActionsOnSave": {
+            "source.organizeImports": "explicit"
+        }
+}

README.md

@@ -4,7 +4,7 @@ emoji: 🐨
 colorFrom: red
 colorTo: blue
 sdk: gradio
-sdk_version: 3.19.1
+sdk_version: 4.20.0
 app_file: app.py
 pinned: false
 ---

app.py

@@ -7,99 +7,83 @@ import numpy as np
 
 from model import Model
 
-TITLE = ''
-DESCRIPTION = '''# StyleGAN3
-
-This is an unofficial demo for [https://github.com/NVlabs/stylegan3](https://github.com/NVlabs/stylegan3).
-'''
+DESCRIPTION = "# [StyleGAN3](https://github.com/NVlabs/stylegan3)"
 
 
 def get_sample_image_url(name: str) -> str:
-    sample_image_dir = 'https://huggingface.co/spaces/hysts/StyleGAN3/resolve/main/samples'
-    return f'{sample_image_dir}/{name}.jpg'
+    sample_image_dir = "https://huggingface.co/spaces/hysts/StyleGAN3/resolve/main/samples"
+    return f"{sample_image_dir}/{name}.jpg"
 
 
 def get_sample_image_markdown(name: str) -> str:
     url = get_sample_image_url(name)
-    size = 512 if name == 'afhqv2' else 1024
-    seed = '0-99'
-    return f'''
+    size = 512 if name == "afhqv2" else 1024
+    seed = "0-99"
+    return f"""
     - size: {size}x{size}
     - seed: {seed}
     - truncation: 0.7
-    ![sample images]({url})'''
+    ![sample images]({url})"""
 
 
 model = Model()
 
-with gr.Blocks(css='style.css') as demo:
+with gr.Blocks(css="style.css") as demo:
     gr.Markdown(DESCRIPTION)
 
     with gr.Tabs():
-        with gr.TabItem('App'):
+        with gr.TabItem("App"):
             with gr.Row():
                 with gr.Column():
-                    model_name = gr.Dropdown(list(
-                        model.MODEL_NAME_DICT.keys()),
-                                             value='FFHQ-1024-R',
-                                             label='Model')
-                    seed = gr.Slider(0,
-                                     np.iinfo(np.uint32).max,
-                                     step=1,
-                                     value=0,
-                                     label='Seed')
-                    psi = gr.Slider(0,
-                                    2,
-                                    step=0.05,
-                                    value=0.7,
-                                    label='Truncation psi')
-                    tx = gr.Slider(-1,
-                                   1,
-                                   step=0.05,
-                                   value=0,
-                                   label='Translate X')
-                    ty = gr.Slider(-1,
-                                   1,
-                                   step=0.05,
-                                   value=0,
-                                   label='Translate Y')
-                    angle = gr.Slider(-180,
-                                      180,
-                                      step=5,
-                                      value=0,
-                                      label='Angle')
-                    run_button = gr.Button('Run')
+                    model_name = gr.Dropdown(
+                        label="Model", choices=list(model.MODEL_NAME_DICT.keys()), value="FFHQ-1024-R"
+                    )
+                    seed = gr.Slider(label="Seed", minimum=0, maximum=np.iinfo(np.uint32).max, step=1, value=0)
+                    psi = gr.Slider(label="Truncation psi", minimum=0, maximum=2, step=0.05, value=0.7)
+                    tx = gr.Slider(label="Translate X", minimum=-1, maximum=1, step=0.05, value=0)
+                    ty = gr.Slider(label="Translate Y", minimum=-1, maximum=1, step=0.05, value=0)
+                    angle = gr.Slider(label="Angle", minimum=-180, maximum=180, step=5, value=0)
+                    run_button = gr.Button()
                 with gr.Column():
-                    result = gr.Image(label='Result', elem_id='result')
+                    result = gr.Image(label="Result", elem_id="result")
 
-        with gr.TabItem('Sample Images'):
+        with gr.TabItem("Sample Images"):
             with gr.Row():
-                model_name2 = gr.Dropdown([
-                    'afhqv2',
-                    'ffhq',
-                    'ffhq-u',
-                    'metfaces',
-                    'metfaces-u',
-                ],
-                                          value='afhqv2',
-                                          label='Model')
+                model_name2 = gr.Dropdown(
+                    [
+                        "afhqv2",
+                        "ffhq",
+                        "ffhq-u",
+                        "metfaces",
+                        "metfaces-u",
+                    ],
+                    value="afhqv2",
+                    label="Model",
+                )
             with gr.Row():
                 text = get_sample_image_markdown(model_name2.value)
                 sample_images = gr.Markdown(text)
 
-    model_name.change(fn=model.set_model, inputs=model_name, outputs=None)
-    run_button.click(fn=model.set_model_and_generate_image,
-                     inputs=[
-                         model_name,
-                         seed,
-                         psi,
-                         tx,
-                         ty,
-                         angle,
-                     ],
-                     outputs=result)
-    model_name2.change(fn=get_sample_image_markdown,
-                       inputs=model_name2,
-                       outputs=sample_images)
-
-demo.queue().launch(show_api=False)
+    run_button.click(
+        fn=model.set_model_and_generate_image,
+        inputs=[
+            model_name,
+            seed,
+            psi,
+            tx,
+            ty,
+            angle,
+        ],
+        outputs=result,
+        api_name="run",
+    )
+    model_name2.change(
+        fn=get_sample_image_markdown,
+        inputs=model_name2,
+        outputs=sample_images,
+        queue=False,
+        api_name=False,
+    )
+
+if __name__ == "__main__":
+    demo.queue(max_size=20).launch()

model.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import os
 import pathlib
 import pickle
 import sys
@@ -11,42 +10,37 @@ import torch.nn as nn
 from huggingface_hub import hf_hub_download
 
 current_dir = pathlib.Path(__file__).parent
-submodule_dir = current_dir / 'stylegan3'
+submodule_dir = current_dir / "stylegan3"
 sys.path.insert(0, submodule_dir.as_posix())
 
-HF_TOKEN = os.getenv('HF_TOKEN')
-
 
 class Model:
     MODEL_NAME_DICT = {
-        'AFHQv2-512-R': 'stylegan3-r-afhqv2-512x512.pkl',
-        'FFHQ-1024-R': 'stylegan3-r-ffhq-1024x1024.pkl',
-        'FFHQ-U-256-R': 'stylegan3-r-ffhqu-256x256.pkl',
-        'FFHQ-U-1024-R': 'stylegan3-r-ffhqu-1024x1024.pkl',
-        'MetFaces-1024-R': 'stylegan3-r-metfaces-1024x1024.pkl',
-        'MetFaces-U-1024-R': 'stylegan3-r-metfacesu-1024x1024.pkl',
-        'AFHQv2-512-T': 'stylegan3-t-afhqv2-512x512.pkl',
-        'FFHQ-1024-T': 'stylegan3-t-ffhq-1024x1024.pkl',
-        'FFHQ-U-256-T': 'stylegan3-t-ffhqu-256x256.pkl',
-        'FFHQ-U-1024-T': 'stylegan3-t-ffhqu-1024x1024.pkl',
-        'MetFaces-1024-T': 'stylegan3-t-metfaces-1024x1024.pkl',
-        'MetFaces-U-1024-T': 'stylegan3-t-metfacesu-1024x1024.pkl',
+        "AFHQv2-512-R": "stylegan3-r-afhqv2-512x512.pkl",
+        "FFHQ-1024-R": "stylegan3-r-ffhq-1024x1024.pkl",
+        "FFHQ-U-256-R": "stylegan3-r-ffhqu-256x256.pkl",
+        "FFHQ-U-1024-R": "stylegan3-r-ffhqu-1024x1024.pkl",
+        "MetFaces-1024-R": "stylegan3-r-metfaces-1024x1024.pkl",
+        "MetFaces-U-1024-R": "stylegan3-r-metfacesu-1024x1024.pkl",
+        "AFHQv2-512-T": "stylegan3-t-afhqv2-512x512.pkl",
+        "FFHQ-1024-T": "stylegan3-t-ffhq-1024x1024.pkl",
+        "FFHQ-U-256-T": "stylegan3-t-ffhqu-256x256.pkl",
+        "FFHQ-U-1024-T": "stylegan3-t-ffhqu-1024x1024.pkl",
+        "MetFaces-1024-T": "stylegan3-t-metfaces-1024x1024.pkl",
+        "MetFaces-U-1024-T": "stylegan3-t-metfacesu-1024x1024.pkl",
     }
 
     def __init__(self):
-        self.device = torch.device(
-            'cuda:0' if torch.cuda.is_available() else 'cpu')
+        self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
         self._download_all_models()
-        self.model_name = 'FFHQ-1024-R'
+        self.model_name = "FFHQ-1024-R"
         self.model = self._load_model(self.model_name)
 
     def _load_model(self, model_name: str) -> nn.Module:
         file_name = self.MODEL_NAME_DICT[model_name]
-        path = hf_hub_download('hysts/StyleGAN3',
-                               f'models/{file_name}',
-                               use_auth_token=HF_TOKEN)
-        with open(path, 'rb') as f:
-            model = pickle.load(f)['G_ema']
+        path = hf_hub_download("hysts/StyleGAN3", f"models/{file_name}")
+        with open(path, "rb") as f:
+            model = pickle.load(f)["G_ema"]
         model.eval()
         model.to(self.device)
         return model
@@ -62,8 +56,7 @@ class Model:
             self._load_model(name)
 
     @staticmethod
-    def make_transform(translate: tuple[float, float],
-                       angle: float) -> np.ndarray:
+    def make_transform(translate: tuple[float, float], angle: float) -> np.ndarray:
         mat = np.eye(3)
         sin = np.sin(angle / 360 * np.pi * 2)
         cos = np.cos(angle / 360 * np.pi * 2)
@@ -81,8 +74,7 @@ class Model:
         return torch.from_numpy(z).float().to(self.device)
 
     def postprocess(self, tensor: torch.Tensor) -> np.ndarray:
-        tensor = (tensor.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(
-            torch.uint8)
+        tensor = (tensor.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(torch.uint8)
         return tensor.cpu().numpy()
 
     def set_transform(self, tx: float, ty: float, angle: float) -> None:
@@ -91,12 +83,10 @@ class Model:
         self.model.synthesis.input.transform.copy_(torch.from_numpy(mat))
 
     @torch.inference_mode()
-    def generate(self, z: torch.Tensor, label: torch.Tensor,
-                 truncation_psi: float) -> torch.Tensor:
+    def generate(self, z: torch.Tensor, label: torch.Tensor, truncation_psi: float) -> torch.Tensor:
         return self.model(z, label, truncation_psi=truncation_psi)
 
-    def generate_image(self, seed: int, truncation_psi: float, tx: float,
-                       ty: float, angle: float) -> np.ndarray:
+    def generate_image(self, seed: int, truncation_psi: float, tx: float, ty: float, angle: float) -> np.ndarray:
         self.set_transform(tx, ty, angle)
 
         z = self.generate_z(seed)
@@ -106,8 +96,8 @@ class Model:
         out = self.postprocess(out)
         return out[0]
 
-    def set_model_and_generate_image(self, model_name: str, seed: int,
-                                     truncation_psi: float, tx: float,
-                                     ty: float, angle: float) -> np.ndarray:
+    def set_model_and_generate_image(
+        self, model_name: str, seed: int, truncation_psi: float, tx: float, ty: float, angle: float
+    ) -> np.ndarray:
         self.set_model(model_name)
         return self.generate_image(seed, truncation_psi, tx, ty, angle)

requirements.txt

@@ -1,5 +1,6 @@
-numpy==1.22.3
-Pillow==9.0.1
-scipy==1.8.0
-torch==1.11.0
-torchvision==0.12.0
+gradio==4.20.0
+numpy==1.26.4
+Pillow==10.2.0
+scipy==1.12.0
+torch==2.0.1
+torchvision==0.15.2

style.css

@@ -1,11 +1,11 @@
 h1 {
   text-align: center;
-}
-div#result {
-  max-width: 600px;
-  max-height: 600px;
-}
-img#visitor-badge {
   display: block;
+}
+
+#duplicate-button {
   margin: auto;
+  color: #fff;
+  background: #1565c0;
+  border-radius: 100vh;
 }