Commit
•
1d1a4f9
0
Parent(s):
Duplicate from damo-vilab/modelscope-text-to-video-synthesis
Browse filesCo-authored-by: hysts <hysts@users.noreply.huggingface.co>
- .gitattributes +34 -0
- .gitignore +162 -0
- .pre-commit-config.yaml +37 -0
- .style.yapf +5 -0
- README.md +13 -0
- app.py +104 -0
- requirements.txt +6 -0
- style.css +191 -0
.gitattributes
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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weights/
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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*.spec
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pip-log.txt
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nosetests.xml
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coverage.xml
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cover/
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# Translations
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*.log
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local_settings.py
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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celerybeat-schedule
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celerybeat.pid
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*.sage.py
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# Environments
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.env
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.venv
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env/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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.pre-commit-config.yaml
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exclude: patch
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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-yaml
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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: 5.12.0
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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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additional_dependencies: ['types-python-slugify']
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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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.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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---
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title: ModelScope Text To Video Synthesis
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emoji: 🚀
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colorFrom: pink
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colorTo: pink
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sdk: gradio
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sdk_version: 3.22.1
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app_file: app.py
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pinned: false
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duplicated_from: damo-vilab/modelscope-text-to-video-synthesis
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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#!/usr/bin/env python
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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 random
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import shlex
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import subprocess
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import gradio as gr
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import torch
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from huggingface_hub import snapshot_download
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if os.getenv('SYSTEM') == 'spaces':
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subprocess.run(shlex.split('pip uninstall -y modelscope'))
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subprocess.run(
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shlex.split('git clone https://github.com/modelscope/modelscope'),
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cwd='/tmp',
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env={'GIT_LFS_SKIP_SMUDGE': '1'})
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subprocess.run(shlex.split('git checkout fe67395'), cwd='/tmp/modelscope')
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subprocess.run(shlex.split('pip install .'), cwd='/tmp/modelscope')
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from modelscope.outputs import OutputKeys
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from modelscope.pipelines import pipeline
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model_dir = pathlib.Path('weights')
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if not model_dir.exists():
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model_dir.mkdir()
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snapshot_download('damo-vilab/modelscope-damo-text-to-video-synthesis',
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repo_type='model',
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local_dir=model_dir)
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DESCRIPTION = '# [ModelScope Text to Video Synthesis](https://modelscope.cn/models/damo/text-to-video-synthesis/summary)'
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DESCRIPTION += '\n<p>For Colab usage, you can view <a href="https://colab.research.google.com/drive/1uW1ZqswkQ9Z9bp5Nbo5z59cAn7I0hE6R?usp=sharing" style="text-decoration: underline;" target="_blank">this webpage</a>.(the latest update on 2023.03.21)</p>'
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36 |
+
DESCRIPTION += '\n<p>This model can only be used for non-commercial purposes. To learn more about the model, take a look at the <a href="https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis" style="text-decoration: underline;" target="_blank">model card</a>.</p>'
|
37 |
+
if (SPACE_ID := os.getenv('SPACE_ID')) is not None:
|
38 |
+
DESCRIPTION += f'\n<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. <a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>'
|
39 |
+
|
40 |
+
pipe = pipeline('text-to-video-synthesis', model_dir.as_posix())
|
41 |
+
|
42 |
+
|
43 |
+
def generate(prompt: str, seed: int) -> str:
|
44 |
+
if seed == -1:
|
45 |
+
seed = random.randint(0, 1000000)
|
46 |
+
torch.manual_seed(seed)
|
47 |
+
return pipe({'text': prompt})[OutputKeys.OUTPUT_VIDEO]
|
48 |
+
|
49 |
+
|
50 |
+
examples = [
|
51 |
+
['An astronaut riding a horse.', 0],
|
52 |
+
['A panda eating bamboo on a rock.', 0],
|
53 |
+
['Spiderman is surfing.', 0],
|
54 |
+
]
|
55 |
+
|
56 |
+
with gr.Blocks(css='style.css') as demo:
|
57 |
+
gr.Markdown(DESCRIPTION)
|
58 |
+
with gr.Group():
|
59 |
+
with gr.Box():
|
60 |
+
with gr.Row(elem_id='prompt-container').style(equal_height=True):
|
61 |
+
prompt = gr.Text(
|
62 |
+
label='Prompt',
|
63 |
+
show_label=False,
|
64 |
+
max_lines=1,
|
65 |
+
placeholder='Enter your prompt',
|
66 |
+
elem_id='prompt-text-input').style(container=False)
|
67 |
+
run_button = gr.Button('Generate video').style(
|
68 |
+
full_width=False)
|
69 |
+
result = gr.Video(label='Result', show_label=False, elem_id='gallery')
|
70 |
+
with gr.Accordion('Advanced options', open=False):
|
71 |
+
seed = gr.Slider(
|
72 |
+
label='Seed',
|
73 |
+
minimum=-1,
|
74 |
+
maximum=1000000,
|
75 |
+
step=1,
|
76 |
+
value=-1,
|
77 |
+
info='If set to -1, a different seed will be used each time.')
|
78 |
+
|
79 |
+
inputs = [prompt, seed]
|
80 |
+
gr.Examples(examples=examples,
|
81 |
+
inputs=inputs,
|
82 |
+
outputs=result,
|
83 |
+
fn=generate,
|
84 |
+
cache_examples=os.getenv('SYSTEM') == 'spaces')
|
85 |
+
|
86 |
+
prompt.submit(fn=generate, inputs=inputs, outputs=result)
|
87 |
+
run_button.click(fn=generate, inputs=inputs, outputs=result)
|
88 |
+
|
89 |
+
with gr.Accordion(label='Biases and content acknowledgment', open=False):
|
90 |
+
gr.HTML("""<div class="acknowledgments">
|
91 |
+
<h4>Biases and content acknowledgment</h4>
|
92 |
+
<p>
|
93 |
+
Despite how impressive being able to turn text into video is, beware to the fact that this model may output content that reinforces or exacerbates societal biases. The training data includes LAION5B, ImageNet, Webvid and other public datasets. The model was not trained to realistically represent people or events, so using it to generate such content is beyond the model's capabilities.
|
94 |
+
</p>
|
95 |
+
<p>
|
96 |
+
It is not intended to generate content that is demeaning or harmful to people or their environment, culture, religion, etc. Similarly, it is not allowed to generate pornographic, violent and bloody content generation. <b>The model is meant for research purposes</b>.
|
97 |
+
</p>
|
98 |
+
<p>
|
99 |
+
To learn more about the model, head to its <a href="https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis" style="text-decoration: underline;" target="_blank">model card</a>.
|
100 |
+
</p>
|
101 |
+
</div>
|
102 |
+
""")
|
103 |
+
|
104 |
+
demo.queue(api_open=False, max_size=15).launch()
|
requirements.txt
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
decord==0.6.0
|
2 |
+
fairseq==0.12.2
|
3 |
+
gradio==3.22.1
|
4 |
+
huggingface-hub==0.13.2
|
5 |
+
modelscope[multi-modal]==1.4.1
|
6 |
+
open_clip_torch==2.16.0
|
style.css
ADDED
@@ -0,0 +1,191 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
/*
|
2 |
+
This CSS file is copied from here:
|
3 |
+
https://huggingface.co/spaces/stabilityai/stable-diffusion/blob/2794a3c3ba66115c307075098e713f572b08bf80/app.py
|
4 |
+
*/
|
5 |
+
|
6 |
+
h1 {
|
7 |
+
text-align: center;
|
8 |
+
}
|
9 |
+
|
10 |
+
.gradio-container {
|
11 |
+
font-family: 'IBM Plex Sans', sans-serif;
|
12 |
+
}
|
13 |
+
|
14 |
+
.gr-button {
|
15 |
+
color: white;
|
16 |
+
border-color: black;
|
17 |
+
background: black;
|
18 |
+
}
|
19 |
+
|
20 |
+
input[type='range'] {
|
21 |
+
accent-color: black;
|
22 |
+
}
|
23 |
+
|
24 |
+
.dark input[type='range'] {
|
25 |
+
accent-color: #dfdfdf;
|
26 |
+
}
|
27 |
+
|
28 |
+
.container {
|
29 |
+
max-width: 730px;
|
30 |
+
margin: auto;
|
31 |
+
padding-top: 1.5rem;
|
32 |
+
}
|
33 |
+
|
34 |
+
#gallery {
|
35 |
+
min-height: 22rem;
|
36 |
+
margin-bottom: 15px;
|
37 |
+
margin-left: auto;
|
38 |
+
margin-right: auto;
|
39 |
+
border-bottom-right-radius: .5rem !important;
|
40 |
+
border-bottom-left-radius: .5rem !important;
|
41 |
+
}
|
42 |
+
|
43 |
+
#gallery>div>.h-full {
|
44 |
+
min-height: 20rem;
|
45 |
+
}
|
46 |
+
|
47 |
+
.details:hover {
|
48 |
+
text-decoration: underline;
|
49 |
+
}
|
50 |
+
|
51 |
+
.gr-button {
|
52 |
+
white-space: nowrap;
|
53 |
+
}
|
54 |
+
|
55 |
+
.gr-button:focus {
|
56 |
+
border-color: rgb(147 197 253 / var(--tw-border-opacity));
|
57 |
+
outline: none;
|
58 |
+
box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
|
59 |
+
--tw-border-opacity: 1;
|
60 |
+
--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
|
61 |
+
--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
|
62 |
+
--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
|
63 |
+
--tw-ring-opacity: .5;
|
64 |
+
}
|
65 |
+
|
66 |
+
#advanced-btn {
|
67 |
+
font-size: .7rem !important;
|
68 |
+
line-height: 19px;
|
69 |
+
margin-top: 12px;
|
70 |
+
margin-bottom: 12px;
|
71 |
+
padding: 2px 8px;
|
72 |
+
border-radius: 14px !important;
|
73 |
+
}
|
74 |
+
|
75 |
+
#advanced-options {
|
76 |
+
display: none;
|
77 |
+
margin-bottom: 20px;
|
78 |
+
}
|
79 |
+
|
80 |
+
.footer {
|
81 |
+
margin-bottom: 45px;
|
82 |
+
margin-top: 35px;
|
83 |
+
text-align: center;
|
84 |
+
border-bottom: 1px solid #e5e5e5;
|
85 |
+
}
|
86 |
+
|
87 |
+
.footer>p {
|
88 |
+
font-size: .8rem;
|
89 |
+
display: inline-block;
|
90 |
+
padding: 0 10px;
|
91 |
+
transform: translateY(10px);
|
92 |
+
background: white;
|
93 |
+
}
|
94 |
+
|
95 |
+
.dark .footer {
|
96 |
+
border-color: #303030;
|
97 |
+
}
|
98 |
+
|
99 |
+
.dark .footer>p {
|
100 |
+
background: #0b0f19;
|
101 |
+
}
|
102 |
+
|
103 |
+
.acknowledgments h4 {
|
104 |
+
margin: 1.25em 0 .25em 0;
|
105 |
+
font-weight: bold;
|
106 |
+
font-size: 115%;
|
107 |
+
}
|
108 |
+
|
109 |
+
.animate-spin {
|
110 |
+
animation: spin 1s linear infinite;
|
111 |
+
}
|
112 |
+
|
113 |
+
@keyframes spin {
|
114 |
+
from {
|
115 |
+
transform: rotate(0deg);
|
116 |
+
}
|
117 |
+
|
118 |
+
to {
|
119 |
+
transform: rotate(360deg);
|
120 |
+
}
|
121 |
+
}
|
122 |
+
|
123 |
+
#share-btn-container {
|
124 |
+
display: flex;
|
125 |
+
padding-left: 0.5rem !important;
|
126 |
+
padding-right: 0.5rem !important;
|
127 |
+
background-color: #000000;
|
128 |
+
justify-content: center;
|
129 |
+
align-items: center;
|
130 |
+
border-radius: 9999px !important;
|
131 |
+
width: 13rem;
|
132 |
+
margin-top: 10px;
|
133 |
+
margin-left: auto;
|
134 |
+
}
|
135 |
+
|
136 |
+
#share-btn {
|
137 |
+
all: initial;
|
138 |
+
color: #ffffff;
|
139 |
+
font-weight: 600;
|
140 |
+
cursor: pointer;
|
141 |
+
font-family: 'IBM Plex Sans', sans-serif;
|
142 |
+
margin-left: 0.5rem !important;
|
143 |
+
padding-top: 0.25rem !important;
|
144 |
+
padding-bottom: 0.25rem !important;
|
145 |
+
right: 0;
|
146 |
+
}
|
147 |
+
|
148 |
+
#share-btn * {
|
149 |
+
all: unset;
|
150 |
+
}
|
151 |
+
|
152 |
+
#share-btn-container div:nth-child(-n+2) {
|
153 |
+
width: auto !important;
|
154 |
+
min-height: 0px !important;
|
155 |
+
}
|
156 |
+
|
157 |
+
#share-btn-container .wrap {
|
158 |
+
display: none !important;
|
159 |
+
}
|
160 |
+
|
161 |
+
.gr-form {
|
162 |
+
flex: 1 1 50%;
|
163 |
+
border-top-right-radius: 0;
|
164 |
+
border-bottom-right-radius: 0;
|
165 |
+
}
|
166 |
+
|
167 |
+
#prompt-container {
|
168 |
+
gap: 0;
|
169 |
+
}
|
170 |
+
|
171 |
+
#prompt-text-input,
|
172 |
+
#negative-prompt-text-input {
|
173 |
+
padding: .45rem 0.625rem
|
174 |
+
}
|
175 |
+
|
176 |
+
#component-16 {
|
177 |
+
border-top-width: 1px !important;
|
178 |
+
margin-top: 1em
|
179 |
+
}
|
180 |
+
|
181 |
+
.image_duplication {
|
182 |
+
position: absolute;
|
183 |
+
width: 100px;
|
184 |
+
left: 50px
|
185 |
+
}
|
186 |
+
|
187 |
+
#component-0 {
|
188 |
+
max-width: 730px;
|
189 |
+
margin: auto;
|
190 |
+
padding-top: 1.5rem;
|
191 |
+
}
|