Upload folder using huggingface_hub

.gitattributes

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.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
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+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
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+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
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+*.cover
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+.hypothesis/
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+
+# Translations
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+
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+
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+
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+
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+
+# 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:
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+
+# 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/
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+
+# Spyder project settings
+.spyderproject
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+
+# Rope project settings
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+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
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+dmypy.json
+
+# Pyre type checker
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+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
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+
+# 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/

LICENSE

@@ -0,0 +1,201 @@
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README.md

@@ -1,12 +1,59 @@
----
-title: InfomericaTryV1
-emoji: 🚀
-colorFrom: pink
-colorTo: green
-sdk: gradio
-sdk_version: 4.37.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# outfit-anyone
+[English](https://github.com/ihmily/outfit-anyone/blob/main/README.md)  | [简体中文](https://github.com/ihmily/outfit-anyone/blob/main/README_CN.md)
+
+Outfit Anyone (Latest Fixed Version): Ultra-high quality virtual try-on for Any Clothing and Any Person
+
+This project is actually a client that calls the interface. The model is not actually open source, models are fixed and cannot be uploaded or modified. Outfit Anyone only support users uploading their own garments.
+
+## How to Run
+
+**Test Environment:  Python 3.10(No computational power required)**
+
+Pull or download the code
+
+```
+git clone https://github.com/ihmily/outfit-anyone.git
+```
+
+Install dependencies
+
+```
+cd outfit-anyone
+pip install -r requirements.txt
+```
+
+~~**Set up the environment variable**~~
+
+```
+
+```
+
+Run
+
+```
+python app.py
+```
+
+Success log
+
+```
+Loaded as API: https://humanaigc-outfitanyone.hf.space ✔
+Running on local URL:  http://127.0.0.1:6006
+```
+
+Please visit http://127.0.0.1:6006 to web. 
+
+Visit [OutfitAnyone - a Hugging Face Space by HumanAIGC](https://huggingface.co/spaces/HumanAIGC/OutfitAnyone) Learn more.
+
+## View Results
+
+![screenshot_image](./images/Snipaste_2024-04-18_19-06-02.jpg)
+
+
+
+![screenshot_image](./images/Snipaste_2024-04-18_19-13-52.jpg)
+
+
+
+![screenshot_image](./images/Snipaste_2024-04-18_19-11-35.jpg)
+

README_CN.md

@@ -0,0 +1,57 @@
+# outfit-anyone
+[English](https://github.com/ihmily/outfit-anyone/blob/main/README.md)  | [简体中文](https://github.com/ihmily/outfit-anyone/blob/main/README_CN.md)
+
+Outfit Anyone（最新修复版）：适用于任何服装和任何人的超高品质虚拟试穿
+
+Outfit Anyone 的模型实际上并未开源，这个项目只是一个调用接口的客户端，模型是固定的，不能上传或修改，只支持用户上传自己的服装，生成图片。
+
+## 如何运行
+
+**测试环境:**  **Python 3.10**
+
+拉取或下载代码
+
+```
+git clone https://github.com/ihmily/outfit-anyone.git
+```
+
+安装依赖
+
+```
+cd outfit-anyone
+pip install -r requirements.txt
+```
+
+~~**设置环境变量（重点）*~~
+
+```
+
+```
+
+运行
+
+```
+python app.py
+```
+
+启动成功后，web服务运行在6006端口。你将看到以下类似信息
+
+```
+Loaded as API: https://humanaigc-outfitanyone.hf.space ✔
+Running on local URL:  http://127.0.0.1:6006
+```
+
+访问 [OutfitAnyone - a Hugging Face Space by HumanAIGC](https://huggingface.co/spaces/HumanAIGC/OutfitAnyone) 了解更多。
+
+
+
+## 演示结果
+
+![screenshot_image](./images/Snipaste_2024-04-18_19-06-02.jpg)
+
+![screenshot_image](./images/Snipaste_2024-04-18_19-13-52.jpg)
+
+![screenshot_image](./images/Snipaste_2024-04-18_19-11-35.jpg)
+
+
+

app.py

@@ -0,0 +1,160 @@
+import os
+import cv2
+import random
+import gradio as gr
+from gradio_client import Client, handle_file
+
+machine_number = 0
+model = os.path.join(os.path.dirname(__file__), "models/eva/Eva_0.png")
+client = Client("HumanAIGC/OutfitAnyone")
+
+MODEL_MAP = {
+    "AI Model Rouyan_0": 'models/rouyan_new/Rouyan_0.png',
+    "AI Model Rouyan_1": 'models/rouyan_new/Rouyan_1.png',
+    "AI Model Rouyan_2": 'models/rouyan_new/Rouyan_2.png',
+    "AI Model Eva_0": 'models/eva/Eva_0.png',
+    "AI Model Eva_1": 'models/eva/Eva_1.png',
+    "AI Model Simon_0": 'models/simon_online/Simon_0.png',
+    "AI Model Simon_1": 'models/simon_online/Simon_1.png',
+    "AI Model Xuanxuan_0": 'models/xiaoxuan_online/Xuanxuan_0.png',
+    "AI Model Xuanxuan_1": 'models/xiaoxuan_online/Xuanxuan_1.png',
+    "AI Model Xuanxuan_2": 'models/xiaoxuan_online/Xuanxuan_2.png',
+    "AI Model Yaqi_0": 'models/yaqi/Yaqi_0.png',
+    "AI Model Yaqi_1": 'models/yaqi/Yaqi_1.png',
+    "AI Model Yaqi_2": 'models/yaqi/Yaqi_2.png',
+    "AI Model Yaqi_3": 'models/yaqi/Yaqi_3.png',
+    "AI Model Yifeng_0": 'models/yifeng_online/Yifeng_0.png',
+    "AI Model Yifeng_1": 'models/yifeng_online/Yifeng_1.png',
+    "AI Model Yifeng_2": 'models/yifeng_online/Yifeng_2.png',
+    "AI Model Yifeng_3": 'models/yifeng_online/Yifeng_3.png',
+}
+
+
+def add_waterprint(img):
+    h, w, _ = img.shape
+    img = cv2.putText(img, 'Powered by Infomerica', (int(0.3 * w), h - 20), cv2.FONT_HERSHEY_PLAIN, 2,
+                      (128, 128, 128), 2, cv2.LINE_AA)
+
+    return img
+
+
+def get_tryon_result(model_name, garment1, garment2, seed=1234):
+    # _model = "AI Model " + model_name.split("\\")[-1].split(".")[0]  # windows
+    _model = "AI Model " + model_name.split("/")[-1].split(".")[0]  # linux
+    print("Use Model:", _model)
+    seed = random.randint(0, 1222222222)
+    garment1 = handle_file(garment1) if garment1 else None
+    garment2 = handle_file(garment2) if garment2 else None
+    result = client.predict(
+        handle_file(model_name),
+        garment1,
+        garment2,
+        api_name="/get_tryon_result",
+        fn_index=seed
+    )
+    final_img = remove_watermark2(result)
+    return final_img
+
+
+def remove_watermark2(path):
+    img = cv2.imread(path)
+    img_ = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    h, w, _ = img.shape
+
+    y_start = max(h - 45, 0)
+    y_end = h
+    x_start = max(int(0.3 * w), 0)
+    x_end = w
+
+    img_[y_start:y_end, x_start:x_end, :] = [255, 255, 255]
+
+    return img_
+
+
+with gr.Blocks(css=".output-image, .input-image, .image-preview {height: 400px !important} ") as demo:
+    # gr.Markdown("# Outfit Anyone v0.9")
+    gr.HTML(
+        """
+        
+        </div>
+        </div>
+        """)
+    with gr.Row():
+        with gr.Column():
+            init_image = gr.Image(sources='clipboard', type="filepath", label="model", value=model)
+            example = gr.Examples(inputs=init_image,
+                                  examples_per_page=4,
+                                  examples=[os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Rouyan_0')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Rouyan_2')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Eva_0')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Simon_1')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Eva_1')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Simon_0')),
+                                            os.path.join(os.path.dirname(__file__),
+                                                         MODEL_MAP.get('AI Model Xuanxuan_0')),
+                                            os.path.join(os.path.dirname(__file__),
+                                                         MODEL_MAP.get('AI Model Xuanxuan_2')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yaqi_1')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yifeng_0')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yifeng_3')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Rouyan_1')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yifeng_2')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yaqi_0')),
+                                            ])
+        with gr.Column():
+            gr.HTML(
+                """
+               
+                """)
+            with gr.Row():
+                garment_top = gr.Image(sources='upload', type="filepath", label="top garment")
+                example_top = gr.Examples(inputs=garment_top,
+                                          examples_per_page=5,
+                                          examples=[os.path.join(os.path.dirname(__file__), "garments/top222.JPG"),
+                                                    os.path.join(os.path.dirname(__file__), "garments/top5.png"),
+                                                    os.path.join(os.path.dirname(__file__), "garments/top333.png"),
+                                                    os.path.join(os.path.dirname(__file__), "garments/dress1.png"),
+                                                    os.path.join(os.path.dirname(__file__), "garments/dress2.png"),
+                                                    ])
+                garment_down = gr.Image(sources='upload', type="filepath", label="lower garment")
+                example_down = gr.Examples(inputs=garment_down,
+                                           examples_per_page=5,
+                                           examples=[os.path.join(os.path.dirname(__file__), "garments/bottom1.png"),
+                                                     os.path.join(os.path.dirname(__file__), "garments/bottom2.PNG"),
+                                                     os.path.join(os.path.dirname(__file__), "garments/bottom3.JPG"),
+                                                     os.path.join(os.path.dirname(__file__), "garments/bottom4.PNG"),
+                                                     os.path.join(os.path.dirname(__file__), "garments/bottom5.png"),
+                                                     ])
+
+            run_button = gr.Button(value="Run")
+        with gr.Column():
+            gallery = gr.Image()
+
+            run_button.click(fn=get_tryon_result,
+                             inputs=[
+                                 init_image,
+                                 garment_top,
+                                 garment_down,
+                             ],
+                             outputs=[gallery],
+                             concurrency_limit=2)
+
+    # Examples
+    gr.Markdown("## Examples")
+    with gr.Row():
+        reference_image1 = gr.Image(label="model", scale=1, value="examples/basemodel.png")
+        reference_image2 = gr.Image(label="garment", scale=1, value="examples/garment1.jpg")
+        reference_image3 = gr.Image(label="result", scale=1, value="examples/result1.png")
+    gr.Examples(
+        examples=[
+            ["examples/basemodel.png", "examples/garment1.png", "examples/result1.png"],
+            ["examples/basemodel.png", "examples/garment2.png", "examples/result2.png"],
+            ["examples/basemodel.png", "examples/garment3.png", "examples/result3.png"],
+        ],
+        inputs=[reference_image1, reference_image2, reference_image3],
+        label=None,
+    )
+
+if __name__ == "__main__":
+    demo.queue(max_size=10)
+    demo.launch(share=False, server_name='127.0.0.1', server_port=6006)