Add files

.gitignore

@@ -0,0 +1,162 @@
+gradio_cached_examples/
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

.pre-commit-config.yaml

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+repos:
+- repo: https://github.com/pre-commit/pre-commit-hooks
+  rev: v4.2.0
+  hooks:
+  - id: check-executables-have-shebangs
+  - id: check-json
+  - id: check-merge-conflict
+  - id: check-shebang-scripts-are-executable
+  - id: check-toml
+  - id: check-yaml
+  - id: double-quote-string-fixer
+  - id: end-of-file-fixer
+  - id: mixed-line-ending
+    args: ['--fix=lf']
+  - id: requirements-txt-fixer
+  - id: trailing-whitespace
+- repo: https://github.com/myint/docformatter
+  rev: v1.4
+  hooks:
+  - id: docformatter
+    args: ['--in-place']
+- repo: https://github.com/pycqa/isort
+  rev: 5.12.0
+  hooks:
+    - id: isort
+- repo: https://github.com/pre-commit/mirrors-mypy
+  rev: v0.991
+  hooks:
+    - id: mypy
+      args: ['--ignore-missing-imports']
+      additional_dependencies: ['types-python-slugify']
+- repo: https://github.com/google/yapf
+  rev: v0.32.0
+  hooks:
+  - id: yapf
+    args: ['--parallel', '--in-place']

.style.yapf

@@ -0,0 +1,5 @@
+[style]
+based_on_style = pep8
+blank_line_before_nested_class_or_def = false
+spaces_before_comment = 2
+split_before_logical_operator = true

.vscode/settings.json

@@ -0,0 +1,18 @@
+{
+    "python.linting.enabled": true,
+    "python.linting.flake8Enabled": true,
+    "python.linting.pylintEnabled": false,
+    "python.linting.lintOnSave": true,
+    "python.formatting.provider": "yapf",
+    "python.formatting.yapfArgs": [
+        "--style={based_on_style: pep8, indent_width: 4, blank_line_before_nested_class_or_def: false, spaces_before_comment: 2, split_before_logical_operator: true}"
+    ],
+    "[python]": {
+        "editor.formatOnType": true,
+        "editor.codeActionsOnSave": {
+            "source.organizeImports": true
+        }
+    },
+    "editor.formatOnSave": true,
+    "files.insertFinalNewline": true
+}

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 hysts
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,12 +1,14 @@
 ---
-title: SD XL
+title: SD-XL
 emoji: 🌍
 colorFrom: gray
 colorTo: purple
 sdk: gradio
 sdk_version: 3.39.0
 app_file: app.py
+license: mit
 pinned: false
+suggested_hardware: a10g-small
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import os
+import random
+
+import gradio as gr
+import numpy as np
+import PIL.Image
+import torch
+from diffusers import DiffusionPipeline
+
+DESCRIPTION = '# SD-XL'
+if not torch.cuda.is_available():
+    DESCRIPTION += '\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>'
+
+MAX_SEED = np.iinfo(np.int32).max
+CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv(
+    'CACHE_EXAMPLES') == '1'
+MAX_IMAGE_SIZE = int(os.getenv('MAX_IMAGE_SIZE', '1024'))
+USE_TORCH_COMPILE = os.getenv('USE_TORCH_COMPILE') == '1'
+ENABLE_CPU_OFFLOAD = os.getenv('ENABLE_CPU_OFFLOAD') == '1'
+
+device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
+if torch.cuda.is_available():
+    pipe = DiffusionPipeline.from_pretrained(
+        'stabilityai/stable-diffusion-xl-base-1.0',
+        torch_dtype=torch.float16,
+        use_safetensors=True,
+        variant='fp16')
+    refiner = DiffusionPipeline.from_pretrained(
+        'stabilityai/stable-diffusion-xl-refiner-1.0',
+        torch_dtype=torch.float16,
+        use_safetensors=True,
+        variant='fp16')
+
+    if ENABLE_CPU_OFFLOAD:
+        pipe.enable_model_cpu_offload()
+        refiner.enable_model_cpu_offload()
+    else:
+        pipe.to(device)
+        refiner.to(device)
+
+    if USE_TORCH_COMPILE:
+        pipe.unet = torch.compile(pipe.unet,
+                                  mode='reduce-overhead',
+                                  fullgraph=True)
+else:
+    pipe = None
+    refiner = None
+
+
+def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+    return seed
+
+
+def generate(prompt: str,
+             negative_prompt: str = '',
+             prompt_2: str = '',
+             negative_prompt_2: str = '',
+             use_negative_prompt: bool = False,
+             use_prompt_2: bool = False,
+             use_negative_prompt_2: bool = False,
+             seed: int = 0,
+             width: int = 1024,
+             height: int = 1024,
+             guidance_scale_base: float = 5.0,
+             guidance_scale_refiner: float = 5.0,
+             num_inference_steps_base: int = 50,
+             num_inference_steps_refiner: int = 50,
+             apply_refiner: bool = False) -> PIL.Image.Image:
+    generator = torch.Generator().manual_seed(seed)
+
+    if not use_negative_prompt:
+        negative_prompt = None  # type: ignore
+    if not use_prompt_2:
+        prompt_2 = None  # type: ignore
+    if not use_negative_prompt_2:
+        negative_prompt_2 = None  # type: ignore
+
+    if not apply_refiner:
+        return pipe(prompt=prompt,
+                    negative_prompt=negative_prompt,
+                    prompt_2=prompt_2,
+                    negative_prompt_2=negative_prompt_2,
+                    width=width,
+                    height=height,
+                    guidance_scale=guidance_scale_base,
+                    num_inference_steps=num_inference_steps_base,
+                    generator=generator,
+                    output_type='pil').images[0]
+    else:
+        latents = pipe(prompt=prompt,
+                       negative_prompt=negative_prompt,
+                       prompt_2=prompt_2,
+                       negative_prompt_2=negative_prompt_2,
+                       width=width,
+                       height=height,
+                       guidance_scale=guidance_scale_base,
+                       num_inference_steps=num_inference_steps_base,
+                       generator=generator,
+                       output_type='latent').images
+        image = refiner(prompt=prompt,
+                        negative_prompt=negative_prompt,
+                        prompt_2=prompt_2,
+                        negative_prompt_2=negative_prompt_2,
+                        guidance_scale=guidance_scale_refiner,
+                        num_inference_steps=num_inference_steps_refiner,
+                        image=latents,
+                        generator=generator).images[0]
+        return image
+
+
+examples = [
+    'Astronaut in a jungle, cold color palette, muted colors, detailed, 8k',
+    'An astronaut riding a green horse',
+]
+
+with gr.Blocks(css='style.css') as demo:
+    gr.Markdown(DESCRIPTION)
+    gr.DuplicateButton(value='Duplicate Space for private use',
+                       elem_id='duplicate-button',
+                       visible=os.getenv('SHOW_DUPLICATE_BUTTON') == '1')
+    with gr.Box():
+        with gr.Row():
+            prompt = gr.Text(
+                label='Prompt',
+                show_label=False,
+                max_lines=1,
+                placeholder='Enter your prompt',
+                container=False,
+            )
+            run_button = gr.Button('Run', scale=0)
+        result = gr.Image(label='Result', show_label=False)
+        with gr.Accordion('Advanced options', open=False):
+            with gr.Row():
+                use_negative_prompt = gr.Checkbox(label='Use negative prompt',
+                                                  value=False)
+                use_prompt_2 = gr.Checkbox(label='Use prompt 2', value=False)
+                use_negative_prompt_2 = gr.Checkbox(
+                    label='Use negative prompt 2', value=False)
+            negative_prompt = gr.Text(
+                label='Negative prompt',
+                max_lines=1,
+                placeholder='Enter a negative prompt',
+                visible=False,
+            )
+            prompt_2 = gr.Text(
+                label='Prompt 2',
+                max_lines=1,
+                placeholder='Enter your prompt',
+                visible=False,
+            )
+            negative_prompt_2 = gr.Text(
+                label='Negative prompt 2',
+                max_lines=1,
+                placeholder='Enter a negative prompt',
+                visible=False,
+            )
+
+            seed = gr.Slider(label='Seed',
+                             minimum=0,
+                             maximum=MAX_SEED,
+                             step=1,
+                             value=0)
+            randomize_seed = gr.Checkbox(label='Randomize seed', value=True)
+            with gr.Row():
+                width = gr.Slider(
+                    label='Width',
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=1024,
+                )
+                height = gr.Slider(
+                    label='Height',
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=1024,
+                )
+            apply_refiner = gr.Checkbox(label='Apply refiner', value=False)
+            with gr.Row():
+                guidance_scale_base = gr.Slider(
+                    label='Guidance scale for base',
+                    minimum=1,
+                    maximum=20,
+                    step=0.1,
+                    value=5.0)
+                num_inference_steps_base = gr.Slider(
+                    label='Number of inference steps for base',
+                    minimum=10,
+                    maximum=100,
+                    step=1,
+                    value=50)
+            with gr.Row(visible=False) as refiner_params:
+                guidance_scale_refiner = gr.Slider(
+                    label='Guidance scale for refiner',
+                    minimum=1,
+                    maximum=20,
+                    step=0.1,
+                    value=5.0)
+                num_inference_steps_refiner = gr.Slider(
+                    label='Number of inference steps for refiner',
+                    minimum=10,
+                    maximum=100,
+                    step=1,
+                    value=50)
+
+    gr.Examples(examples=examples,
+                inputs=prompt,
+                outputs=result,
+                fn=generate,
+                cache_examples=CACHE_EXAMPLES)
+
+    use_negative_prompt.change(
+        fn=lambda x: gr.update(visible=x),
+        inputs=use_negative_prompt,
+        outputs=negative_prompt,
+        queue=False,
+        api_name=False,
+    )
+    use_prompt_2.change(
+        fn=lambda x: gr.update(visible=x),
+        inputs=use_prompt_2,
+        outputs=prompt_2,
+        queue=False,
+        api_name=False,
+    )
+    use_negative_prompt_2.change(
+        fn=lambda x: gr.update(visible=x),
+        inputs=use_negative_prompt_2,
+        outputs=negative_prompt_2,
+        queue=False,
+        api_name=False,
+    )
+    apply_refiner.change(
+        fn=lambda x: gr.update(visible=x),
+        inputs=apply_refiner,
+        outputs=refiner_params,
+        queue=False,
+        api_name=False,
+    )
+
+    inputs = [
+        prompt,
+        negative_prompt,
+        prompt_2,
+        negative_prompt_2,
+        use_negative_prompt,
+        use_prompt_2,
+        use_negative_prompt_2,
+        seed,
+        width,
+        height,
+        guidance_scale_base,
+        guidance_scale_refiner,
+        num_inference_steps_base,
+        num_inference_steps_refiner,
+        apply_refiner,
+    ]
+    prompt.submit(
+        fn=randomize_seed_fn,
+        inputs=[seed, randomize_seed],
+        outputs=seed,
+        queue=False,
+        api_name=False,
+    ).then(
+        fn=generate,
+        inputs=inputs,
+        outputs=result,
+        api_name='run',
+    )
+    negative_prompt.submit(
+        fn=randomize_seed_fn,
+        inputs=[seed, randomize_seed],
+        outputs=seed,
+        queue=False,
+        api_name=False,
+    ).then(
+        fn=generate,
+        inputs=inputs,
+        outputs=result,
+        api_name=False,
+    )
+    run_button.click(
+        fn=randomize_seed_fn,
+        inputs=[seed, randomize_seed],
+        outputs=seed,
+        queue=False,
+        api_name=False,
+    ).then(
+        fn=generate,
+        inputs=inputs,
+        outputs=result,
+        api_name=False,
+    )
+demo.queue(max_size=20).launch()

requirements.txt

@@ -0,0 +1,7 @@
+accelerate==0.21.0
+diffusers==0.19.0
+gradio==3.39.0
+invisible-watermark==0.2.0
+Pillow==10.0.0
+torch==2.0.1
+transformers==4.31.0

style.css

@@ -0,0 +1,16 @@
+h1 {
+  text-align: center;
+}
+
+#duplicate-button {
+  margin: auto;
+  color: #fff;
+  background: #1565c0;
+  border-radius: 100vh;
+}
+
+#component-0 {
+  max-width: 730px;
+  margin: auto;
+  padding-top: 1.5rem;
+}