add colab and ignore

.gitignore

@@ -0,0 +1,133 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+test.py
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+/package
+/temp
+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/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# 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/
+
+.vscode
+.idea
+
+# custom
+*.pkl
+*.pkl.json
+*.log.json
+*.whl
+*.tar.gz
+*.swp
+*.log
+*.tar.gz
+source.sh
+tensorboard.sh
+.DS_Store
+replace.sh
+result.png
+result.jpg
+result.mp4
+
+# Pytorch
+*.pth
+*.pt
+
+# ast template
+ast_index_file.py

README.md

@@ -19,6 +19,9 @@ FaceChain is powered by [ModelScope](https://github.com/modelscope/modelscope).
 
 ![image](resources/example3.jpg)
 
+# News
+- Colab notebook is available now! You can experience FaceChain directly with our [Colab Notebook](https://colab.research.google.com/drive/1cUhnVXseqD2EJiotZk3k7GsfQK9_yJu_?usp=sharing).
+
 # Installation
 
 ## Compatibility Verification
@@ -116,6 +119,9 @@ python3 app.py
 **Note**: After the app service is successfully launched, go to the URL in the log, enter the "Image Customization" tab, click "Select Image to Upload", and choose at least one image with a face. Then, click "Start Training" to begin model training. After the training is completed, there will be corresponding displays in the log. Afterwards, switch to the "Image Experience" tab and click "Start Inference" to generate your own digital image.
 
 
+### 4. colab notebook
+Please refer to [Colab Notebook](https://colab.research.google.com/drive/1cUhnVXseqD2EJiotZk3k7GsfQK9_yJu_?usp=sharing) for details.
+
 
 # Script Execution
 

README_ZH.md

@@ -21,10 +21,13 @@ FaceChain的模型由[ModelScope](https://github.com/modelscope/modelscope)开
 
 ![image](resources/example3.jpg)
 
+# News
+- Colab notebook安装已支持，您可以直接打开链接体验FaceChain: [Colab Notebook](https://colab.research.google.com/drive/1cUhnVXseqD2EJiotZk3k7GsfQK9_yJu_?usp=sharing)
+
 # 环境准备
 
 ## 兼容性验证
-FaceChain是一个组合模型，使用了包括pytorch和tensorflow在内的机器学习框架，以下是已经验证过的主要环境依赖：
+FaceChain是一个组合模型，使用了包括PyTorch和TensorFlow在内的机器学习框架，以下是已经验证过的主要环境依赖：
 - python环境: py3.8, py3.10
 - pytorch版本: torch2.0.0, torch2.0.1
 - tensorflow版本: 2.8.0, tensorflow-cpu
@@ -117,6 +120,10 @@ python3 app.py
 # 最后点击log中生成的URL即可访问页面。
 ```
 
+### 4. colab运行
+支持colab notebook安装，参考： [Colab Notebook](https://colab.research.google.com/drive/1cUhnVXseqD2EJiotZk3k7GsfQK9_yJu_?usp=sharing)
+
+
 
 备注：app服务成功启动后，在log中访问页面URL，进入”形象定制“tab页，点击“选择图片上传”，并最少选1张包含人脸的图片；点击“开始训练”即可训练模型。训练完成后日志中会有对应展示，之后切换到“形象体验”标签页点击“开始推理”即可生成属于自己的数字形象。