Spaces:
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Update
Browse files- .pre-commit-config.yaml +59 -34
- .style.yapf +0 -5
- .vscode/settings.json +30 -0
- README.md +1 -1
- app.py +62 -75
- requirements.txt +3 -3
- style.css +8 -0
.pre-commit-config.yaml
CHANGED
@@ -1,35 +1,60 @@
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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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- repo: https://github.com/pre-commit/mirrors-mypy
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v4.5.0
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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: 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: v1.7.5
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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: 5.13.2
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hooks:
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- id: isort
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args: ["--profile", "black"]
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- repo: https://github.com/pre-commit/mirrors-mypy
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rev: v1.8.0
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hooks:
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- id: mypy
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args: ["--ignore-missing-imports"]
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additional_dependencies:
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[
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"types-python-slugify",
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"types-requests",
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"types-PyYAML",
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"types-pytz",
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]
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- repo: https://github.com/psf/black
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rev: 24.2.0
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hooks:
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- id: black
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language_version: python3.10
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args: ["--line-length", "119"]
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- repo: https://github.com/kynan/nbstripout
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rev: 0.7.1
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hooks:
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- id: nbstripout
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args:
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[
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"--extra-keys",
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"metadata.interpreter metadata.kernelspec cell.metadata.pycharm",
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]
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- repo: https://github.com/nbQA-dev/nbQA
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rev: 1.7.1
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hooks:
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- id: nbqa-black
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- id: nbqa-pyupgrade
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args: ["--py37-plus"]
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- id: nbqa-isort
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args: ["--float-to-top"]
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.style.yapf
DELETED
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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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.vscode/settings.json
ADDED
@@ -0,0 +1,30 @@
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{
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"editor.formatOnSave": true,
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"files.insertFinalNewline": false,
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"[python]": {
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"editor.defaultFormatter": "ms-python.black-formatter",
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"editor.formatOnType": true,
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"editor.codeActionsOnSave": {
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"source.organizeImports": "explicit"
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}
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},
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"[jupyter]": {
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"files.insertFinalNewline": false
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},
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"black-formatter.args": [
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"--line-length=119"
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],
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"isort.args": ["--profile", "black"],
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"flake8.args": [
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"--max-line-length=119"
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],
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"ruff.lint.args": [
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"--line-length=119"
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],
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"notebook.output.scrolling": true,
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"notebook.formatOnCellExecution": true,
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"notebook.formatOnSave.enabled": true,
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"notebook.codeActionsOnSave": {
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"source.organizeImports": "explicit"
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}
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}
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README.md
CHANGED
@@ -4,7 +4,7 @@ emoji: 😻
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colorFrom: purple
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colorTo: red
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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suggested_hardware: t4-small
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colorFrom: purple
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colorTo: red
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sdk: gradio
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sdk_version: 4.19.2
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app_file: app.py
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pinned: false
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suggested_hardware: t4-small
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app.py
CHANGED
@@ -8,24 +8,24 @@ import gradio as gr
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from dualstylegan import Model
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DESCRIPTION =
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<img id="overview" alt="overview" src="https://raw.githubusercontent.com/williamyang1991/DualStyleGAN/main/doc_images/overview.jpg" />
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-
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def get_style_image_url(style_name: str) -> str:
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base_url =
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filenames = {
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}
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return f
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def get_style_image_markdown_text(style_name: str) -> str:
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def update_slider(choice: str) -> dict:
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max_vals = {
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}
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return gr.
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def update_style_image(style_name: str) -> dict:
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text = get_style_image_markdown_text(style_name)
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return gr.
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model = Model()
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with gr.Blocks(css=
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gr.Markdown(DESCRIPTION)
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with gr.
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gr.Markdown(
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- Drop an image containing a near-frontal face to the **Input Image**.
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- If there are multiple faces in the image, hit the Edit button in the upper right corner and crop the input image beforehand.
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- Hit the **Preprocess** button.
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- Choose the encoder version. Default is Z+ encoder which has better stylization performance. W+ encoder better reconstructs the input image to preserve more details.
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- The final result will be based on this **Reconstructed Face**. So, if the reconstructed image is not satisfactory, you may want to change the input image.
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-
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with gr.Row():
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encoder_type = gr.Radio(
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-
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value='Z+ encoder (better stylization)')
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with gr.Row():
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with gr.Column():
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with gr.Row():
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input_image = gr.Image(label=
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type='filepath')
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with gr.Row():
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preprocess_button = gr.Button(
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with gr.Column():
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with gr.Row():
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aligned_face = gr.Image(label=
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type='numpy',
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interactive=False)
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with gr.Column():
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reconstructed_face = gr.Image(label=
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type='numpy')
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instyle = gr.State()
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with gr.Row():
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paths = sorted(pathlib.Path(
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gr.Examples(examples=[[path.as_posix()] for path in paths],
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inputs=input_image)
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with gr.
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gr.Markdown(
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- Select **Style Type**.
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- Select **Style Image Index** from the image table below.
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-
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with gr.Row():
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with gr.Column():
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style_type = gr.Radio(label=
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-
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value=model.style_types[0])
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text = get_style_image_markdown_text('cartoon')
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style_image = gr.Markdown(value=text)
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style_index = gr.Slider(label=
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minimum=0,
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maximum=316,
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step=1,
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value=26)
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with gr.Row():
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gr.Examples(
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examples=[
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[
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[
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[
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[
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],
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inputs=[style_type, style_index],
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)
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with gr.
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gr.Markdown(
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- Adjust **Structure Weight** and **Color Weight**.
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- These are weights for the style image, so the larger the value, the closer the resulting image will be to the style image.
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- Tips: For W+ encoder, better way of (Structure Only) is to uncheck (Structure Only) and set Color weight to 0.
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- Hit the **Generate** button.
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-
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with gr.Row():
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with gr.Column():
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with gr.Row():
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structure_weight = gr.Slider(label=
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minimum=0,
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maximum=1,
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step=0.1,
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value=0.6)
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with gr.Row():
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color_weight = gr.Slider(label=
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minimum=0,
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maximum=1,
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step=0.1,
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value=1)
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with gr.Row():
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structure_only = gr.Checkbox(label=
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value=False)
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with gr.Row():
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generate_button = gr.Button(
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with gr.Column():
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result = gr.Image(label=
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with gr.Row():
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gr.Examples(
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],
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outputs=result,
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)
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-
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from dualstylegan import Model
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DESCRIPTION = """# Portrait Style Transfer with [DualStyleGAN](https://github.com/williamyang1991/DualStyleGAN)
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<img id="overview" alt="overview" src="https://raw.githubusercontent.com/williamyang1991/DualStyleGAN/main/doc_images/overview.jpg" />
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"""
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def get_style_image_url(style_name: str) -> str:
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base_url = "https://raw.githubusercontent.com/williamyang1991/DualStyleGAN/main/doc_images"
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filenames = {
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"cartoon": "cartoon_overview.jpg",
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"caricature": "caricature_overview.jpg",
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"anime": "anime_overview.jpg",
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"arcane": "Reconstruction_arcane_overview.jpg",
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"comic": "Reconstruction_comic_overview.jpg",
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"pixar": "Reconstruction_pixar_overview.jpg",
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"slamdunk": "Reconstruction_slamdunk_overview.jpg",
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}
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return f"{base_url}/{filenames[style_name]}"
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def get_style_image_markdown_text(style_name: str) -> str:
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def update_slider(choice: str) -> dict:
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max_vals = {
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"cartoon": 316,
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"caricature": 198,
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"anime": 173,
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"arcane": 99,
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"comic": 100,
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"pixar": 121,
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"slamdunk": 119,
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}
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return gr.Slider(maximum=max_vals[choice])
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def update_style_image(style_name: str) -> dict:
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text = get_style_image_markdown_text(style_name)
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return gr.Markdown(value=text)
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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.Group():
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gr.Markdown(
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"""## Step 1 (Preprocess Input Image)
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- Drop an image containing a near-frontal face to the **Input Image**.
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- If there are multiple faces in the image, hit the Edit button in the upper right corner and crop the input image beforehand.
|
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- Hit the **Preprocess** button.
|
66 |
- Choose the encoder version. Default is Z+ encoder which has better stylization performance. W+ encoder better reconstructs the input image to preserve more details.
|
67 |
- The final result will be based on this **Reconstructed Face**. So, if the reconstructed image is not satisfactory, you may want to change the input image.
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"""
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)
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with gr.Row():
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encoder_type = gr.Radio(
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label="Encoder Type",
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choices=["Z+ encoder (better stylization)", "W+ encoder (better reconstruction)"],
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value="Z+ encoder (better stylization)",
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)
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with gr.Row():
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with gr.Column():
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with gr.Row():
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input_image = gr.Image(label="Input Image", type="filepath")
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with gr.Row():
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preprocess_button = gr.Button("Preprocess")
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with gr.Column():
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with gr.Row():
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aligned_face = gr.Image(label="Aligned Face", type="numpy", interactive=False)
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with gr.Column():
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reconstructed_face = gr.Image(label="Reconstructed Face", type="numpy")
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instyle = gr.State()
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with gr.Row():
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paths = sorted(pathlib.Path("images").glob("*.jpg"))
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gr.Examples(examples=[[path.as_posix()] for path in paths], inputs=input_image)
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with gr.Group():
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gr.Markdown(
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"""## Step 2 (Select Style Image)
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- Select **Style Type**.
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- Select **Style Image Index** from the image table below.
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"""
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)
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with gr.Row():
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with gr.Column():
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style_type = gr.Radio(label="Style Type", choices=model.style_types, value=model.style_types[0])
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text = get_style_image_markdown_text("cartoon")
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style_image = gr.Markdown(value=text)
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style_index = gr.Slider(label="Style Image Index", minimum=0, maximum=316, step=1, value=26)
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with gr.Row():
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gr.Examples(
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examples=[
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["cartoon", 26],
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["caricature", 65],
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["arcane", 63],
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["pixar", 80],
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],
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inputs=[style_type, style_index],
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)
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with gr.Group():
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gr.Markdown(
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"""## Step 3 (Generate Style Transferred Image)
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- Adjust **Structure Weight** and **Color Weight**.
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- These are weights for the style image, so the larger the value, the closer the resulting image will be to the style image.
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- Tips: For W+ encoder, better way of (Structure Only) is to uncheck (Structure Only) and set Color weight to 0.
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- Hit the **Generate** button.
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+
"""
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)
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with gr.Row():
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with gr.Column():
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with gr.Row():
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+
structure_weight = gr.Slider(label="Structure Weight", minimum=0, maximum=1, step=0.1, value=0.6)
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with gr.Row():
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color_weight = gr.Slider(label="Color Weight", minimum=0, maximum=1, step=0.1, value=1)
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with gr.Row():
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structure_only = gr.Checkbox(label="Structure Only", value=False)
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with gr.Row():
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generate_button = gr.Button("Generate")
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140 |
with gr.Column():
|
141 |
+
result = gr.Image(label="Result")
|
142 |
|
143 |
with gr.Row():
|
144 |
gr.Examples(
|
|
|
186 |
],
|
187 |
outputs=result,
|
188 |
)
|
189 |
+
|
190 |
+
if __name__ == "__main__":
|
191 |
+
demo.queue(max_size=20).launch()
|
requirements.txt
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
dlib==19.24.2
|
2 |
numpy==1.23.5
|
3 |
-
opencv-python-headless==4.
|
4 |
-
Pillow==
|
5 |
-
scipy==1.
|
6 |
torch==2.0.1
|
7 |
torchvision==0.15.2
|
|
|
1 |
dlib==19.24.2
|
2 |
numpy==1.23.5
|
3 |
+
opencv-python-headless==4.9.0.80
|
4 |
+
Pillow==10.2.0
|
5 |
+
scipy==1.12.0
|
6 |
torch==2.0.1
|
7 |
torchvision==0.15.2
|
style.css
CHANGED
@@ -1,5 +1,13 @@
|
|
1 |
h1 {
|
2 |
text-align: center;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
}
|
4 |
|
5 |
img#overview {
|
|
|
1 |
h1 {
|
2 |
text-align: center;
|
3 |
+
display: block;
|
4 |
+
}
|
5 |
+
|
6 |
+
#duplicate-button {
|
7 |
+
margin: auto;
|
8 |
+
color: #fff;
|
9 |
+
background: #1565c0;
|
10 |
+
border-radius: 100vh;
|
11 |
}
|
12 |
|
13 |
img#overview {
|