Update
Browse files- .pre-commit-config.yaml +46 -0
- .style.yapf +5 -0
- README.md +1 -1
- app.py +92 -116
- samples/bicycles.jpg β cluster_center_images/bicycles_256.jpg +2 -2
- samples/dogs.jpg β cluster_center_images/dogs_1024.jpg +2 -2
- samples/horses.jpg β cluster_center_images/elephants_512.jpg +2 -2
- samples/parrots.jpg β cluster_center_images/giraffes_512.jpg +2 -2
- samples/giraffes.jpg β cluster_center_images/horses_256.jpg +2 -2
- cluster_center_images/lions_512.jpg +3 -0
- cluster_center_images/parrots_512.jpg +3 -0
- model.py +124 -0
- samples/bicycles_256.jpg +3 -0
- samples/{elephants.jpg β dogs_1024.jpg} +2 -2
- samples/elephants_512.jpg +3 -0
- samples/giraffes_512.jpg +3 -0
- samples/horses_256.jpg +3 -0
- samples/lions.jpg +0 -3
- samples/lions_512.jpg +3 -0
- samples/parrots_512.jpg +3 -0
- style.css +11 -0
.pre-commit-config.yaml
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exclude: ^stylegan3
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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v4.2.0
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hooks:
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- id: check-executables-have-shebangs
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- id: check-json
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- id: check-merge-conflict
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- id: check-shebang-scripts-are-executable
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- id: check-toml
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- id: check-yaml
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- id: double-quote-string-fixer
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- id: end-of-file-fixer
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- id: mixed-line-ending
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args: ['--fix=lf']
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- id: requirements-txt-fixer
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- id: trailing-whitespace
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- repo: https://github.com/myint/docformatter
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rev: v1.4
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hooks:
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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: 5.10.1
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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: v0.812
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hooks:
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- id: mypy
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args: ['--ignore-missing-imports']
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- repo: https://github.com/google/yapf
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rev: v0.32.0
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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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.style.yapf
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[style]
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based_on_style = pep8
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blank_line_before_nested_class_or_def = false
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spaces_before_comment = 2
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split_before_logical_operator = true
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README.md
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colorFrom: indigo
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colorTo: red
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sdk: gradio
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sdk_version: 3.0.
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app_file: app.py
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pinned: false
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---
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colorFrom: indigo
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colorTo: red
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sdk: gradio
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sdk_version: 3.0.11
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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 functools
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import os
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import pickle
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import sys
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import gradio as gr
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import numpy as np
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Expected execution time on Hugging Face Spaces: 2s
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'''
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SAMPLE_IMAGE_DIR = 'https://huggingface.co/spaces/hysts/Self-Distilled-StyleGAN/resolve/main/samples'
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ARTICLE = f'''## Generated images
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- truncation: 0.7
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### Dogs
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- size: 1024x1024
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- seed: 0-99
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![Dogs]({SAMPLE_IMAGE_DIR}/dogs.jpg)
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### Elephants
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- size: 512x512
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- seed: 0-99
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![Elephants]({SAMPLE_IMAGE_DIR}/elephants.jpg)
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### Horses
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- size: 256x256
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- seed: 0-99
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![Horses]({SAMPLE_IMAGE_DIR}/horses.jpg)
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### Bicycles
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- size: 256x256
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- seed: 0-99
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![Bicycles]({SAMPLE_IMAGE_DIR}/bicycles.jpg)
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### Lions
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- size: 512x512
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- seed: 0-99
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![Lions]({SAMPLE_IMAGE_DIR}/lions.jpg)
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### Giraffes
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- size: 512x512
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- seed: 0-99
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![Giraffes]({SAMPLE_IMAGE_DIR}/giraffes.jpg)
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### Parrots
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- size: 512x512
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- seed: 0-99
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![Parrots]({SAMPLE_IMAGE_DIR}/parrots.jpg)
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<center><img src="https://visitor-badge.glitch.me/badge?page_id=hysts.self-distilled-stylegan" alt="visitor badge"/></center>
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'''
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TOKEN = os.environ['TOKEN']
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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('--live', action='store_true')
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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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parser.add_argument('--allow-flagging', type=str, default='never')
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return parser.parse_args()
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def
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z = generate_z(model.z_dim, seed, device)
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label = torch.zeros([1, model.c_dim], device=device)
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return
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def
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use_auth_token=TOKEN)
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with open(path, 'rb') as f:
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model = pickle.load(f)['G_ema']
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model.eval()
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model.to(device)
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with torch.inference_mode():
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z = torch.zeros((1, model.z_dim)).to(device)
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label = torch.zeros([1, model.c_dim], device=device)
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model(z, label)
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return model
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def main():
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args = parse_args()
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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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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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TITLE = '# Self-Distilled StyleGAN'
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DESCRIPTION = '''This is an unofficial demo for [https://github.com/self-distilled-stylegan/self-distilled-internet-photos](https://github.com/self-distilled-stylegan/self-distilled-internet-photos).
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Expected execution time on Hugging Face Spaces: 2s'''
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FOOTER = '<img id="visitor-badge" src="https://visitor-badge.glitch.me/badge?page_id=hysts.self-distilled-stylegan" 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(model_name: str) -> str:
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sample_image_dir = 'https://huggingface.co/spaces/hysts/Self-Distilled-StyleGAN/resolve/main/samples'
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return f'{sample_image_dir}/{model_name}.jpg'
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def get_sample_image_markdown(model_name: str) -> str:
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url = get_sample_image_url(model_name)
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size = model_name.split('_')[-1]
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return f'''
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- size: {size}x{size}
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- seed: 0-99
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- truncation: 0.7
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![sample images]({url})'''
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def get_cluster_center_image_url(model_name: str) -> str:
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cluster_center_image_dir = 'https://huggingface.co/spaces/hysts/Self-Distilled-StyleGAN/resolve/main/cluster_center_images'
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return f'{cluster_center_image_dir}/{model_name}.jpg'
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def get_cluster_center_image_markdown(model_name: str) -> str:
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url = get_cluster_center_image_url(model_name)
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return f'![cluster center images]({url})'
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def main():
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args = parse_args()
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model = Model(args.device)
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with gr.Blocks(theme=args.theme, css='style.css') as demo:
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gr.Markdown(TITLE)
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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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with gr.Group():
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model_name = gr.Dropdown(
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model.MODEL_NAMES,
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value=model.MODEL_NAMES[0],
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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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value=0,
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step=1,
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label='Seed')
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psi = gr.Slider(0,
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2,
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step=0.05,
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value=0.7,
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label='Truncation psi')
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multimodal_truncation = gr.Checkbox(
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label='Multi-modal Truncation', value=True)
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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(model.MODEL_NAMES,
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value=model.MODEL_NAMES[0],
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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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with gr.TabItem('Cluster Center Images'):
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with gr.Row():
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model_name3 = gr.Dropdown(model.MODEL_NAMES,
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value=model.MODEL_NAMES[0],
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label='Model')
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with gr.Row():
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text = get_cluster_center_image_markdown(model_name3.value)
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cluster_center_images = gr.Markdown(value=text)
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gr.Markdown(FOOTER)
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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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psi,
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multimodal_truncation,
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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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model_name3.change(fn=get_cluster_center_image_markdown,
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inputs=model_name3,
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outputs=cluster_center_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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samples/bicycles.jpg β cluster_center_images/bicycles_256.jpg
RENAMED
File without changes
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samples/dogs.jpg β cluster_center_images/dogs_1024.jpg
RENAMED
File without changes
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samples/horses.jpg β cluster_center_images/elephants_512.jpg
RENAMED
File without changes
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samples/parrots.jpg β cluster_center_images/giraffes_512.jpg
RENAMED
File without changes
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samples/giraffes.jpg β cluster_center_images/horses_256.jpg
RENAMED
File without changes
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cluster_center_images/lions_512.jpg
ADDED
![]() |
Git LFS Details
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cluster_center_images/parrots_512.jpg
ADDED
![]() |
Git LFS Details
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model.py
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1 |
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from __future__ import annotations
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import os
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import pathlib
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import pickle
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import sys
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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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from huggingface_hub import hf_hub_download
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current_dir = pathlib.Path(__file__).parent
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submodule_dir = current_dir / 'stylegan3'
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sys.path.insert(0, submodule_dir.as_posix())
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HF_TOKEN = os.environ['HF_TOKEN']
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class Model:
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MODEL_NAMES = [
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'dogs_1024',
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'elephants_512',
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'horses_256',
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'bicycles_256',
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'lions_512',
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'giraffes_512',
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'parrots_512',
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]
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def __init__(self, device: str | torch.device):
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self.device = torch.device(device)
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self._download_all_models()
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self._download_all_cluster_centers()
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self.model_name = self.MODEL_NAMES[0]
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self.model = self._load_model(self.model_name)
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self.cluster_centers = self._load_cluster_centers(self.model_name)
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def _load_model(self, model_name: str) -> nn.Module:
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path = hf_hub_download('hysts/Self-Distilled-StyleGAN',
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f'models/{model_name}_pytorch.pkl',
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use_auth_token=HF_TOKEN)
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with open(path, 'rb') as f:
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model = pickle.load(f)['G_ema']
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model.eval()
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model.to(self.device)
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return model
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def _load_cluster_centers(self, model_name: str) -> torch.Tensor:
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path = hf_hub_download('hysts/Self-Distilled-StyleGAN',
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f'cluster_centers/{model_name}.npy',
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use_auth_token=HF_TOKEN)
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centers = np.load(path)
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centers = torch.from_numpy(centers).float().to(self.device)
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return centers
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def set_model(self, model_name: str) -> None:
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if model_name == self.model_name:
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return
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self.model_name = model_name
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self.model = self._load_model(model_name)
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self.cluster_centers = self._load_cluster_centers(model_name)
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def _download_all_models(self):
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for name in self.MODEL_NAMES:
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self._load_model(name)
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def _download_all_cluster_centers(self):
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for name in self.MODEL_NAMES:
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self._load_cluster_centers(name)
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+
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def generate_z(self, seed: int) -> torch.Tensor:
|
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seed = int(np.clip(seed, 0, np.iinfo(np.uint32).max))
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return torch.from_numpy(
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np.random.RandomState(seed).randn(1, self.model.z_dim)).float().to(
|
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self.device)
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def compute_w(self, z: torch.Tensor) -> torch.Tensor:
|
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label = torch.zeros((1, self.model.c_dim), device=self.device)
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w = self.model.mapping(z, label)
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return w
|
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+
|
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def find_nearest_cluster_center(self, w: torch.Tensor) -> int:
|
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# Here, Euclidean distance is used instead of LPIPS distance
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dist2 = ((self.cluster_centers - w)**2).sum(dim=1)
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return torch.argmin(dist2).item()
|
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|
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@staticmethod
|
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def truncate_w(w_center: torch.Tensor, w: torch.Tensor,
|
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psi: float) -> torch.Tensor:
|
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if psi == 1:
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return w
|
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return w_center.lerp(w, psi)
|
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|
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@torch.inference_mode()
|
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def synthesize(self, w: torch.Tensor) -> torch.Tensor:
|
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return self.model.synthesis(w)
|
100 |
+
|
101 |
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def postprocess(self, tensor: torch.Tensor) -> np.ndarray:
|
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tensor = (tensor.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(
|
103 |
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torch.uint8)
|
104 |
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return tensor.cpu().numpy()
|
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+
|
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def generate_image(self, seed: int, truncation_psi: float,
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multimodal_truncation: bool) -> np.ndarray:
|
108 |
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z = self.generate_z(seed)
|
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w = self.compute_w(z)
|
110 |
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if multimodal_truncation:
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cluster_index = self.find_nearest_cluster_center(w[:, 0])
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w0 = self.cluster_centers[cluster_index]
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else:
|
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w0 = self.model.mapping.w_avg
|
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new_w = self.truncate_w(w0, w, truncation_psi)
|
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out = self.synthesize(new_w)
|
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out = self.postprocess(out)
|
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return out[0]
|
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+
|
120 |
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def set_model_and_generate_image(
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self, model_name: str, seed: int, truncation_psi: float,
|
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multimodal_truncation: bool) -> np.ndarray:
|
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self.set_model(model_name)
|
124 |
+
return self.generate_image(seed, truncation_psi, multimodal_truncation)
|
samples/bicycles_256.jpg
ADDED
![]() |
Git LFS Details
|
samples/{elephants.jpg β dogs_1024.jpg}
RENAMED
File without changes
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samples/elephants_512.jpg
ADDED
![]() |
Git LFS Details
|
samples/giraffes_512.jpg
ADDED
![]() |
Git LFS Details
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samples/horses_256.jpg
ADDED
![]() |
Git LFS Details
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samples/lions.jpg
DELETED
Git LFS Details
|
samples/lions_512.jpg
ADDED
![]() |
Git LFS Details
|
samples/parrots_512.jpg
ADDED
![]() |
Git LFS Details
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style.css
ADDED
@@ -0,0 +1,11 @@
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|
1 |
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h1 {
|
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text-align: center;
|
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}
|
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div#result {
|
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max-width: 600px;
|
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max-height: 600px;
|
7 |
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}
|
8 |
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img#visitor-badge {
|
9 |
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display: block;
|
10 |
+
margin: auto;
|
11 |
+
}
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