Update
Browse files- .pre-commit-config.yaml +2 -12
- README.md +1 -1
- app.py +48 -79
- model.py +5 -5
.pre-commit-config.yaml
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@@ -21,11 +21,11 @@ repos:
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- id: docformatter
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args: ['--in-place']
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- repo: https://github.com/pycqa/isort
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rev: 5.
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hooks:
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- id: isort
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- repo: https://github.com/pre-commit/mirrors-mypy
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rev: v0.
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hooks:
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- id: mypy
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args: ['--ignore-missing-imports']
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hooks:
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- id: yapf
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args: ['--parallel', '--in-place']
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- repo: https://github.com/kynan/nbstripout
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rev: 0.5.0
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hooks:
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- id: nbstripout
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args: ['--extra-keys', 'metadata.interpreter metadata.kernelspec cell.metadata.pycharm']
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- repo: https://github.com/nbQA-dev/nbQA
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rev: 1.3.1
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hooks:
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- id: nbqa-isort
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- id: nbqa-yapf
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- id: docformatter
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args: ['--in-place']
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- repo: https://github.com/pycqa/isort
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rev: 5.12.0
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hooks:
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- id: isort
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- repo: https://github.com/pre-commit/mirrors-mypy
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rev: v0.991
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hooks:
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- id: mypy
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args: ['--ignore-missing-imports']
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hooks:
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- id: yapf
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args: ['--parallel', '--in-place']
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README.md
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@@ -4,7 +4,7 @@ emoji: 👁
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colorFrom: blue
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colorTo: red
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sdk: gradio
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sdk_version: 3.
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app_file: app.py
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pinned: false
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---
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colorFrom: blue
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colorTo: red
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sdk: gradio
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sdk_version: 3.19.1
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app_file: app.py
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pinned: false
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---
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app.py
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from __future__ import annotations
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import argparse
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import gradio as gr
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import numpy as np
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from model import Model
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DESCRIPTION = '''This is an unofficial demo for [https://github.com/microsoft/StyleSwin](https://github.com/microsoft/StyleSwin).
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'''
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FOOTER = '<img id="visitor-badge" src="https://visitor-badge.glitch.me/badge?page_id=hysts.styleswin" alt="visitor badge" />'
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser()
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parser.add_argument('--device', type=str, default='cpu')
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parser.add_argument('--theme', type=str)
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parser.add_argument('--share', action='store_true')
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parser.add_argument('--port', type=int)
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parser.add_argument('--disable-queue',
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dest='enable_queue',
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action='store_false')
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return parser.parse_args()
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def get_sample_image_url(name: str) -> str:
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@@ -51,64 +35,49 @@ def get_sample_image_markdown(name: str) -> str:
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'''
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gr.
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],
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outputs=result)
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model_name2.change(fn=get_sample_image_markdown,
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inputs=model_name2,
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outputs=sample_images)
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demo.launch(
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enable_queue=args.enable_queue,
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server_port=args.port,
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share=args.share,
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)
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if __name__ == '__main__':
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main()
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from __future__ import annotations
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import gradio as gr
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import numpy as np
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from model import Model
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DESCRIPTION = '''# StyleSwin
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This is an unofficial demo for [https://github.com/microsoft/StyleSwin](https://github.com/microsoft/StyleSwin).
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'''
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def get_sample_image_url(name: str) -> str:
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'''
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model = Model()
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with gr.Blocks(css='style.css') as demo:
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gr.Markdown(DESCRIPTION)
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with gr.Tabs():
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with gr.TabItem('App'):
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with gr.Row():
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with gr.Column():
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model_name = gr.Dropdown(model.MODEL_NAMES,
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value=model.MODEL_NAMES[3],
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label='Model')
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seed = gr.Slider(0,
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np.iinfo(np.uint32).max,
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step=1,
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value=0,
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label='Seed')
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run_button = gr.Button('Run')
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with gr.Column():
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result = gr.Image(label='Result', elem_id='result')
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with gr.TabItem('Sample Images'):
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with gr.Row():
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model_name2 = gr.Dropdown([
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'celeba-hq',
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'ffhq',
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'lsun-church',
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],
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value='celeba-hq',
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label='Model')
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with gr.Row():
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text = get_sample_image_markdown(model_name2.value)
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sample_images = gr.Markdown(text)
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model_name.change(fn=model.set_model, inputs=model_name, outputs=None)
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run_button.click(fn=model.set_model_and_generate_image,
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inputs=[
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model_name,
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seed,
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],
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outputs=result)
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model_name2.change(fn=get_sample_image_markdown,
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inputs=model_name2,
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outputs=sample_images)
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demo.queue().launch(show_api=False)
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model.py
CHANGED
@@ -6,11 +6,10 @@ import sys
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import huggingface_hub
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import numpy as np
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import PIL.Image
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import torch
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import torch.nn as nn
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if os.
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os.system("sed -i '14,21d' StyleSwin/op/fused_act.py")
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os.system("sed -i '12,19d' StyleSwin/op/upfirdn2d.py")
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from models.generator import Generator
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HF_TOKEN = os.
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class Model:
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'FFHQ_1024',
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]
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def __init__(self
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self.device = torch.device(
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self._download_all_models()
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self.model_name = self.MODEL_NAMES[3]
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self.model = self._load_model(self.model_name)
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import huggingface_hub
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import numpy as np
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import torch
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import torch.nn as nn
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if os.getenv('SYSTEM') == 'spaces':
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os.system("sed -i '14,21d' StyleSwin/op/fused_act.py")
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os.system("sed -i '12,19d' StyleSwin/op/upfirdn2d.py")
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from models.generator import Generator
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HF_TOKEN = os.getenv('HF_TOKEN')
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class Model:
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'FFHQ_1024',
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]
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def __init__(self):
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self.device = torch.device(
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'cuda:0' if torch.cuda.is_available() else 'cpu')
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self._download_all_models()
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self.model_name = self.MODEL_NAMES[3]
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self.model = self._load_model(self.model_name)
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