Update

.pre-commit-config.yaml

@@ -21,26 +21,17 @@ repos:
   - id: docformatter
     args: ['--in-place']
 - repo: https://github.com/pycqa/isort
-  rev: 5.10.1
+  rev: 5.12.0
   hooks:
     - id: isort
 - repo: https://github.com/pre-commit/mirrors-mypy
-  rev: v0.812
+  rev: v0.991
   hooks:
     - id: mypy
       args: ['--ignore-missing-imports']
+      additional_dependencies: ['types-python-slugify']
 - repo: https://github.com/google/yapf
   rev: v0.32.0
   hooks:
   - id: yapf
     args: ['--parallel', '--in-place']
-- repo: https://github.com/kynan/nbstripout
-  rev: 0.5.0
-  hooks:
-    - id: nbstripout
-      args: ['--extra-keys', 'metadata.interpreter metadata.kernelspec cell.metadata.pycharm']
-- repo: https://github.com/nbQA-dev/nbQA
-  rev: 1.3.1
-  hooks:
-    - id: nbqa-isort
-    - id: nbqa-yapf

README.md

@@ -4,9 +4,12 @@ emoji: 🏃
 colorFrom: red
 colorTo: purple
 sdk: gradio
-sdk_version: 3.1.3
+sdk_version: 3.35.2
 app_file: app.py
 pinned: false
+suggested_hardware: t4-small
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
+
+https://arxiv.org/abs/2202.00273

app.py

@@ -2,7 +2,6 @@
 
 from __future__ import annotations
 
-import argparse
 import json
 
 import gradio as gr
@@ -10,24 +9,7 @@ import numpy as np
 
 from model import Model
 
-TITLE = '# StyleGAN-XL'
-DESCRIPTION = '''This is an unofficial demo for [https://github.com/autonomousvision/stylegan_xl](https://github.com/autonomousvision/stylegan_xl).
-
-Expected execution time on Hugging Face Spaces: 16s
-'''
-FOOTER = '<img id="visitor-badge" src="https://visitor-badge.glitch.me/badge?page_id=hysts.stylegan-xl" alt="visitor badge" />'
-
-
-def parse_args() -> argparse.Namespace:
-    parser = argparse.ArgumentParser()
-    parser.add_argument('--device', type=str, default='cpu')
-    parser.add_argument('--theme', type=str)
-    parser.add_argument('--share', action='store_true')
-    parser.add_argument('--port', type=int)
-    parser.add_argument('--disable-queue',
-                        dest='enable_queue',
-                        action='store_false')
-    return parser.parse_args()
+DESCRIPTION = '# [StyleGAN-XL](https://github.com/autonomousvision/stylegan_xl)'
 
 
 def update_class_index(name: str) -> dict:
@@ -105,133 +87,118 @@ def update_class_name(model_name: str, index: int) -> dict:
         return gr.Textbox.update(visible=False)
 
 
-def main():
-    args = parse_args()
-    model = Model(args.device)
-
-    with gr.Blocks(theme=args.theme, css='style.css') as demo:
-        gr.Markdown(TITLE)
-        gr.Markdown(DESCRIPTION)
-
-        with gr.Tabs():
-            with gr.TabItem('App'):
-                with gr.Row():
-                    with gr.Column():
-                        with gr.Group():
-                            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')
-                            psi = gr.Slider(0,
-                                            2,
-                                            step=0.05,
-                                            value=0.7,
-                                            label='Truncation psi')
-                            class_index = gr.Slider(0,
-                                                    999,
-                                                    step=1,
-                                                    value=83,
-                                                    label='Class Index')
-                            class_name = gr.Textbox(
-                                value=IMAGENET_NAMES[class_index.value],
-                                label='Class Label',
-                                interactive=False)
-                            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')
-                    with gr.Column():
-                        result = gr.Image(label='Result', elem_id='result')
-
-            with gr.TabItem('Sample Images'):
-                with gr.Row():
-                    model_name2 = gr.Dropdown([
-                        'imagenet',
-                        'cifar10',
-                        'ffhq',
-                        'pokemon',
-                    ],
-                                              value='imagenet',
-                                              label='Model')
-                with gr.Row():
-                    text = get_sample_image_markdown(model_name2.value)
-                    sample_images = gr.Markdown(text)
-
-            with gr.TabItem('Class Names'):
-                with gr.Row():
-                    dataset_name = gr.Dropdown([
-                        'imagenet',
-                        'cifar10',
-                    ],
-                                               value='imagenet',
-                                               label='Dataset')
-                with gr.Row():
-                    df = get_class_name_df('imagenet')
-                    class_names = gr.Dataframe(
-                        df,
-                        col_count=2,
-                        headers=['Class Index', 'Label'],
-                        interactive=False)
-
-        gr.Markdown(FOOTER)
-
-        model_name.change(fn=model.set_model, inputs=model_name, outputs=None)
-        model_name.change(fn=update_class_index,
-                          inputs=model_name,
-                          outputs=class_index)
-        model_name.change(fn=update_class_name,
-                          inputs=[
-                              model_name,
-                              class_index,
-                          ],
-                          outputs=class_name)
-        class_index.change(fn=update_class_name,
-                           inputs=[
-                               model_name,
-                               class_index,
-                           ],
-                           outputs=class_name)
-        run_button.click(fn=model.set_model_and_generate_image,
-                         inputs=[
-                             model_name,
-                             seed,
-                             psi,
-                             class_index,
-                             tx,
-                             ty,
-                             angle,
-                         ],
-                         outputs=result)
-        model_name2.change(fn=get_sample_image_markdown,
-                           inputs=model_name2,
-                           outputs=sample_images)
-        dataset_name.change(fn=get_class_name_df,
-                            inputs=dataset_name,
-                            outputs=class_names)
-
-    demo.launch(
-        enable_queue=args.enable_queue,
-        server_port=args.port,
-        share=args.share,
-    )
-
-
-if __name__ == '__main__':
-    main()
+model = Model()
+
+with gr.Blocks(css='style.css') as demo:
+    gr.Markdown(DESCRIPTION)
+
+    with gr.Tabs():
+        with gr.TabItem('App'):
+            with gr.Row():
+                with gr.Column():
+                    with gr.Group():
+                        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')
+                        psi = gr.Slider(0,
+                                        2,
+                                        step=0.05,
+                                        value=0.7,
+                                        label='Truncation psi')
+                        class_index = gr.Slider(0,
+                                                999,
+                                                step=1,
+                                                value=83,
+                                                label='Class Index')
+                        class_name = gr.Textbox(
+                            value=IMAGENET_NAMES[class_index.value],
+                            label='Class Label',
+                            interactive=False)
+                        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')
+                with gr.Column():
+                    result = gr.Image(label='Result', elem_id='result')
+
+        with gr.TabItem('Sample Images'):
+            with gr.Row():
+                model_name2 = gr.Dropdown([
+                    'imagenet',
+                    'cifar10',
+                    'ffhq',
+                    'pokemon',
+                ],
+                                          value='imagenet',
+                                          label='Model')
+            with gr.Row():
+                text = get_sample_image_markdown(model_name2.value)
+                sample_images = gr.Markdown(text)
+
+        with gr.TabItem('Class Names'):
+            with gr.Row():
+                dataset_name = gr.Dropdown([
+                    'imagenet',
+                    'cifar10',
+                ],
+                                           value='imagenet',
+                                           label='Dataset')
+            with gr.Row():
+                df = get_class_name_df('imagenet')
+                class_names = gr.Dataframe(df,
+                                           col_count=2,
+                                           headers=['Class Index', 'Label'],
+                                           interactive=False)
+
+    model_name.change(fn=model.set_model, inputs=model_name, outputs=None)
+    model_name.change(fn=update_class_index,
+                      inputs=model_name,
+                      outputs=class_index)
+    model_name.change(fn=update_class_name,
+                      inputs=[
+                          model_name,
+                          class_index,
+                      ],
+                      outputs=class_name)
+    class_index.change(fn=update_class_name,
+                       inputs=[
+                           model_name,
+                           class_index,
+                       ],
+                       outputs=class_name)
+    run_button.click(fn=model.set_model_and_generate_image,
+                     inputs=[
+                         model_name,
+                         seed,
+                         psi,
+                         class_index,
+                         tx,
+                         ty,
+                         angle,
+                     ],
+                     outputs=result)
+    model_name2.change(fn=get_sample_image_markdown,
+                       inputs=model_name2,
+                       outputs=sample_images)
+    dataset_name.change(fn=get_class_name_df,
+                        inputs=dataset_name,
+                        outputs=class_names)
+
+demo.queue(max_size=10).launch()

model.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import os
 import pathlib
 import pickle
 import sys
@@ -14,8 +13,6 @@ current_dir = pathlib.Path(__file__).parent
 submodule_dir = current_dir / 'stylegan_xl'
 sys.path.insert(0, submodule_dir.as_posix())
 
-HF_TOKEN = os.environ['HF_TOKEN']
-
 
 class Model:
 
@@ -29,16 +26,16 @@ class Model:
         'pokemon256',
     ]
 
-    def __init__(self, device: str | torch.device):
-        self.device = torch.device(device)
+    def __init__(self):
+        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)
 
     def _load_model(self, model_name: str) -> nn.Module:
-        path = hf_hub_download('hysts/StyleGAN-XL',
-                               f'models/{model_name}.pkl',
-                               use_auth_token=HF_TOKEN)
+        path = hf_hub_download('public-data/StyleGAN-XL',
+                               f'models/{model_name}.pkl')
         with open(path, 'rb') as f:
             model = pickle.load(f)['G_ema']
         model.eval()

requirements.txt

@@ -1,6 +1,6 @@
 ftfy==6.1.1
-numpy==1.22.3
-Pillow==9.0.1
-scipy==1.8.0
-torch==1.11.0
-torchvision==0.12.0
+numpy==1.23.5
+Pillow==10.0.0
+scipy==1.10.1
+torch==2.0.1
+torchvision==0.15.2