Update

.pre-commit-config.yaml

@@ -1,36 +1,60 @@
-exclude: ^StyleSwin
 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: blue
 colorTo: red
 sdk: gradio
-sdk_version: 3.36.1
+sdk_version: 4.19.2
 app_file: app.py
 pinned: false
 suggested_hardware: t4-small

app.py

@@ -7,71 +7,63 @@ import numpy as np
 
 from model import Model
 
-DESCRIPTION = '# [StyleSwin](https://github.com/microsoft/StyleSwin)'
+DESCRIPTION = "# [StyleSwin](https://github.com/microsoft/StyleSwin)"
 
 
 def get_sample_image_url(name: str) -> str:
-    sample_image_dir = 'https://huggingface.co/spaces/hysts/StyleSwin/resolve/main/samples'
-    return f'{sample_image_dir}/{name}.jpg'
+    sample_image_dir = "https://huggingface.co/spaces/hysts/StyleSwin/resolve/main/samples"
+    return f"{sample_image_dir}/{name}.jpg"
 
 
 def get_sample_image_markdown(name: str) -> str:
     url = get_sample_image_url(name)
-    if name == 'celeba-hq':
+    if name == "celeba-hq":
         size = 1024
-    elif name == 'ffhq':
+    elif name == "ffhq":
         size = 1024
-    elif name == 'lsun-church':
+    elif name == "lsun-church":
         size = 256
     else:
         raise ValueError
-    seed = '0-99'
-    return f'''
+    seed = "0-99"
+    return f"""
     - size: {size}x{size}
     - seed: {seed}
-    ![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(model.MODEL_NAMES,
-                                             value=model.MODEL_NAMES[3],
-                                             label='Model')
-                    seed = gr.Slider(0,
-                                     np.iinfo(np.uint32).max,
-                                     step=1,
-                                     value=0,
-                                     label='Seed')
-                    run_button = gr.Button('Run')
+                    model_name = gr.Dropdown(model.MODEL_NAMES, value=model.MODEL_NAMES[3], label="Model")
+                    seed = gr.Slider(0, np.iinfo(np.uint32).max, step=1, value=0, label="Seed")
+                    run_button = gr.Button("Run")
                 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([
-                    'celeba-hq',
-                    'ffhq',
-                    'lsun-church',
-                ],
-                                          value='celeba-hq',
-                                          label='Model')
+                model_name2 = gr.Dropdown(
+                    [
+                        "celeba-hq",
+                        "ffhq",
+                        "lsun-church",
+                    ],
+                    value="celeba-hq",
+                    label="Model",
+                )
             with gr.Row():
                 text = get_sample_image_markdown(model_name2.value)
                 sample_images = gr.Markdown(text)
 
-    run_button.click(fn=model.set_model_and_generate_image,
-                     inputs=[model_name, seed],
-                     outputs=result,
-                     api_name='run')
-    model_name2.change(fn=get_sample_image_markdown,
-                       inputs=model_name2,
-                       outputs=sample_images)
+    run_button.click(fn=model.set_model_and_generate_image, inputs=[model_name, seed], outputs=result, api_name="run")
+    model_name2.change(fn=get_sample_image_markdown, inputs=model_name2, outputs=sample_images)
 
-demo.queue(max_size=15).launch()
+if __name__ == "__main__":
+    demo.queue(max_size=15).launch()

model.py

@@ -9,12 +9,12 @@ import numpy as np
 import torch
 import torch.nn as nn
 
-if os.getenv('SYSTEM') == 'spaces':
+if os.getenv("SYSTEM") == "spaces":
     os.system("sed -i '14,21d' StyleSwin/op/fused_act.py")
     os.system("sed -i '12,19d' StyleSwin/op/upfirdn2d.py")
 
 current_dir = pathlib.Path(__file__).parent
-submodule_dir = current_dir / 'StyleSwin'
+submodule_dir = current_dir / "StyleSwin"
 sys.path.insert(0, submodule_dir.as_posix())
 
 from models.generator import Generator
@@ -22,38 +22,29 @@ from models.generator import Generator
 
 class Model:
     MODEL_NAMES = [
-        'CelebAHQ_256',
-        'FFHQ_256',
-        'LSUNChurch_256',
-        'CelebAHQ_1024',
-        'FFHQ_1024',
+        "CelebAHQ_256",
+        "FFHQ_256",
+        "LSUNChurch_256",
+        "CelebAHQ_1024",
+        "FFHQ_1024",
     ]
 
     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 = self.MODEL_NAMES[3]
         self.model = self._load_model(self.model_name)
 
-        self.std = torch.FloatTensor([0.229, 0.224,
-                                      0.225])[None, :, None,
-                                              None].to(self.device)
-        self.mean = torch.FloatTensor([0.485, 0.456,
-                                       0.406])[None, :, None,
-                                               None].to(self.device)
+        self.std = torch.FloatTensor([0.229, 0.224, 0.225])[None, :, None, None].to(self.device)
+        self.mean = torch.FloatTensor([0.485, 0.456, 0.406])[None, :, None, None].to(self.device)
 
     def _load_model(self, model_name: str) -> nn.Module:
-        size = int(model_name.split('_')[1])
+        size = int(model_name.split("_")[1])
         channel_multiplier = 1 if size == 1024 else 2
-        model = Generator(size,
-                          style_dim=512,
-                          n_mlp=8,
-                          channel_multiplier=channel_multiplier)
-        ckpt_path = huggingface_hub.hf_hub_download('public-data/StyleSwin',
-                                                    f'models/{model_name}.pt')
+        model = Generator(size, style_dim=512, n_mlp=8, channel_multiplier=channel_multiplier)
+        ckpt_path = huggingface_hub.hf_hub_download("public-data/StyleSwin", f"models/{model_name}.pt")
         ckpt = torch.load(ckpt_path)
-        model.load_state_dict(ckpt['g_ema'])
+        model.load_state_dict(ckpt["g_ema"])
         model.to(self.device)
         model.eval()
         return model
@@ -86,7 +77,6 @@ class Model:
         out = self.postprocess(out)
         return out[0]
 
-    def set_model_and_generate_image(self, model_name: str,
-                                     seed: int) -> np.ndarray:
+    def set_model_and_generate_image(self, model_name: str, seed: int) -> np.ndarray:
         self.set_model(model_name)
         return self.generate_image(seed)

requirements.txt

@@ -1,5 +1,5 @@
-numpy==1.23.5
-Pillow==9.5.0
-timm==0.9.2
+numpy==1.26.4
+Pillow==10.2.0
+timm==0.9.16
 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;
 }