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+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU Affero General Public License is a free, copyleft license for
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+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published
+    by the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

Non confirmé 412787.crdownload

@@ -0,0 +1,7 @@
+[mypy]
+check_untyped_defs = True
+disallow_any_generics = True
+disallow_untyped_calls = True
+disallow_untyped_defs = True
+ignore_missing_imports = True
+strict_optional = False

README.md

@@ -1,14 +1,162 @@
 ---
-title: ROOP MC
-emoji: 📈
-colorFrom: yellow
-colorTo: purple
+title: roop-unleashed
+app_file: run.py
 sdk: gradio
-sdk_version: 5.4.0
-app_file: app.py
-pinned: false
-license: mit
-short_description: echanges
+sdk_version: 4.32.1
 ---
+# roop-unleashed
+
+[Changelog](#changelog) • [Usage](#usage) • [Wiki](https://github.com/C0untFloyd/roop-unleashed/wiki)
+
+
+Uncensored Deepfakes for images and videos without training and an easy-to-use GUI.
+
+
+![Screen](https://github.com/C0untFloyd/roop-unleashed/assets/131583554/6ee6860d-efbe-4337-8c62-a67598863637)
+
+### Features
+
+- Platform-independant Browser GUI
+- Selection of multiple input/output faces in one go
+- Many different swapping modes, first detected, face selections, by gender
+- Batch processing of images/videos
+- Masking of face occluders using text prompts or automatically
+- Optional Face Upscaler/Restoration using different enhancers
+- Preview swapping from different video frames
+- Live Fake Cam using your webcam
+- Extras Tab for cutting videos etc.
+- Settings - storing configuration for next session
+- Theme Support
+
+and lots more...
+
+
+## Disclaimer
+
+This project is for technical and academic use only.
+Users of this software are expected to use this software responsibly while abiding the local law. If a face of a real person is being used, users are suggested to get consent from the concerned person and clearly mention that it is a deepfake when posting content online. Developers of this software will not be responsible for actions of end-users.
+**Please do not apply it to illegal and unethical scenarios.**
+
+In the event of violation of the legal and ethical requirements of the user's country or region, this code repository is exempt from liability
+
+### Installation
+
+Please refer to the [wiki](https://github.com/C0untFloyd/roop-unleashed/wiki).
+
+
+
+
+### Usage
+
+- Windows: run the `windows_run.bat` from the Installer.
+- Linux: `python run.py`
+
+<a target="_blank" href="https://colab.research.google.com/github/C0untFloyd/roop-unleashed/blob/main/roop-unleashed.ipynb">
+  <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
+</a>
+  
+
+Additional commandline arguments are currently unsupported and settings should be done via the UI.
+
+> Note: When you run this program for the first time, it will download some models roughly ~2Gb in size.
+
+
+
+
+### Changelog
+
+**22.04.2024** v3.9.0
+
+- Bugfix: Face detection bounding box corrupt values at weird angles
+- Rewrote mask previewing to work with every model
+- Switching mask engines toggles text interactivity
+- Clearing target files, resets face selection dropdown
+- Massive rewrite of swapping architecture, needed for xseg implementation
+- Added DFL Xseg Support for partial face occlusion
+- Face masking only runs when there is a face detected
+- Removed unnecessary toggle checkbox for text masking
+
+
+**22.03.2024** v3.6.5
+
+- Bugfix: Installer pulling latest update on first installation
+- Bugfix: Regression issue, blurring/erosion missing from face swap
+- Exposed erosion and blur amounts to UI
+- Using same values for manual masking too
+
+
+**20.03.2024** v3.6.3
+
+- Bugfix: Workaround for Gradio Slider Change Bug
+- Bugfix: CSS Styling to fix Gradio Image Height Bug
+- Made face swapping mask offsets resolution independant
+- Show offset mask as overlay
+- Changed layout for masking
+
+
+**18.03.2024** v3.6.0
+
+- Updated to Gradio 4.21.0 - requiring many changes under the hood
+- New manual masking (draw the mask yourself)
+- Extras Tab, streamlined cutting/joining videos
+- Re-added face selection by gender (on-demand loading, default turned off)
+- Removed unnecessary activate live-cam option
+- Added time info to preview frame and changed frame slider event to allow faster changes
+
+
+**10.03.2024** v3.5.5
+
+- Bugfix: Installer Path Env
+- Bugfix: file attributes
+- Video processing checks for presence of ffmpeg and displays warning if not found
+- Removed gender + age detection to speed up processing. Option removed from UI
+- Replaced restoreformer with restoreformer++
+- Live Cam recoded to run separate from virtual cam and without blocking controls
+- Swapping with only 1 target face allows selecting from several input faces
+
+
+
+**08.01.2024** v3.5.0
+
+- Bugfix: wrong access options when creating folders
+- New auto rotation of horizontal faces, fixing bad landmark positions (expanded on ![PR 364](https://github.com/C0untFloyd/roop-unleashed/pull/364))
+- Simple VR Option for stereo Images/Movies, best used in selected face mode
+- Added RestoreFormer Enhancer - https://github.com/wzhouxiff/RestoreFormer
+- Bumped up package versions for onnx/Torch etc.   
+
+
+**16.10.2023** v3.3.4
+
+**11.8.2023** v2.7.0
+
+Initial Gradio Version - old TkInter Version now deprecated
+
+- Re-added unified padding to face enhancers
+- Fixed DMDNet for all resolutions
+- Selecting target face now automatically switches swapping mode to selected
+- GPU providers are correctly set using the GUI (needs restart currently)
+- Local output folder can be opened from page
+- Unfinished extras functions disabled for now
+- Installer checks out specific commit, allowing to go back to first install
+- Updated readme for new gradio version
+- Updated Colab
+
+
+# Acknowledgements
+
+Lots of ideas, code or pre-trained models borrowed from the following projects:
+
+https://github.com/deepinsight/insightface<br />
+https://github.com/s0md3v/roop<br />
+https://github.com/AUTOMATIC1111/stable-diffusion-webui<br /> 
+https://github.com/Hillobar/Rope<br />
+https://github.com/TencentARC/GFPGAN<br />   
+https://github.com/kadirnar/codeformer-pip<br />
+https://github.com/csxmli2016/DMDNet<br />
+https://github.com/glucauze/sd-webui-faceswaplab<br />
+https://github.com/ykk648/face_power<br />
+
+<br />
+<br />
+Thanks to all developers!
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

flake8

@@ -0,0 +1,3 @@
+[flake8]
+select = E3, E4, F
+per-file-ignores = roop/core.py:E402

gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+docs/screenshot.png filter=lfs diff=lfs merge=lfs -text

gitignore

@@ -0,0 +1,15 @@
+.vs
+.idea
+models
+temp
+__pycache__
+*.pth
+/start.bat
+/env
+.vscode
+output
+temp
+config.yaml
+run.bat
+venv
+start.sh

requirements.txt

@@ -0,0 +1,19 @@
+--extra-index-url https://download.pytorch.org/whl/cu118
+
+numpy==1.26.4
+gradio==4.32.1
+opencv-python==4.9.0.80
+onnx==1.16.0
+insightface==0.7.3
+psutil==5.9.6
+torch==2.1.2+cu118; sys_platform != 'darwin'
+torch==2.1.2; sys_platform == 'darwin'
+torchvision==0.16.2+cu118; sys_platform != 'darwin'
+torchvision==0.16.2; sys_platform == 'darwin'
+onnxruntime==1.17.1; sys_platform == 'darwin' and platform_machine != 'arm64'
+onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64'
+onnxruntime-gpu==1.17.1; sys_platform != 'darwin'
+tqdm==4.66.4
+ftfy
+regex
+pyvirtualcam

roop-unleashed.ipynb

@@ -0,0 +1,208 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "gpuType": "T4",
+      "collapsed_sections": [
+        "UdQ1VHdI8lCf"
+      ]
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "accelerator": "GPU"
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Colab for roop-unleashed - Gradio version\n",
+        "https://github.com/C0untFloyd/roop-unleashed\n"
+      ],
+      "metadata": {
+        "id": "G9BdiCppV6AS"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Install CUDA V11.8 on Google Cloud Compute"
+      ],
+      "metadata": {
+        "id": "CanIXgLJgaOj"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!apt-get -y update\n",
+        "!apt-get -y install cuda-toolkit-11-8\n",
+        "import os\n",
+        "os.environ[\"LD_LIBRARY_PATH\"] += \":\" + \"/usr/local/cuda-11/lib64\"\n",
+        "os.environ[\"LD_LIBRARY_PATH\"] += \":\" + \"/usr/local/cuda-11.8/lib64\""
+      ],
+      "metadata": {
+        "id": "96GE4UgYg3Ej"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Installing & preparing requirements"
+      ],
+      "metadata": {
+        "id": "0ZYRNb0AWLLW"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "t1yPuhdySqCq"
+      },
+      "outputs": [],
+      "source": [
+        "!git clone https://github.com/C0untFloyd/roop-unleashed.git\n",
+        "%cd roop-unleashed\n",
+        "!mv config_colab.yaml config.yaml\n",
+        "!pip install pip install -r requirements.txt"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Running roop-unleashed with default config"
+      ],
+      "metadata": {
+        "id": "u_4JQiSlV9Fi"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!python run.py"
+      ],
+      "metadata": {
+        "id": "Is6U2huqSzLE"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Download generated images folder\n",
+        "(only needed if you want to zip the generated output)"
+      ],
+      "metadata": {
+        "id": "UdQ1VHdI8lCf"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import shutil\n",
+        "import os\n",
+        "from google.colab import files\n",
+        "\n",
+        "def zip_directory(directory_path, zip_path):\n",
+        "    shutil.make_archive(zip_path, 'zip', directory_path)\n",
+        "\n",
+        "# Set the directory path you want to download\n",
+        "directory_path = '/content/roop-unleashed/output'\n",
+        "\n",
+        "# Set the zip file name\n",
+        "zip_filename = 'fake_output.zip'\n",
+        "\n",
+        "# Zip the directory\n",
+        "zip_directory(directory_path, zip_filename)\n",
+        "\n",
+        "# Download the zip file\n",
+        "files.download(zip_filename+'.zip')\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 17
+        },
+        "id": "oYjWveAmw10X",
+        "outputId": "5b4c3650-f951-434a-c650-5525a8a70c1e"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.Javascript object>"
+            ],
+            "application/javascript": [
+              "\n",
+              "    async function download(id, filename, size) {\n",
+              "      if (!google.colab.kernel.accessAllowed) {\n",
+              "        return;\n",
+              "      }\n",
+              "      const div = document.createElement('div');\n",
+              "      const label = document.createElement('label');\n",
+              "      label.textContent = `Downloading \"${filename}\": `;\n",
+              "      div.appendChild(label);\n",
+              "      const progress = document.createElement('progress');\n",
+              "      progress.max = size;\n",
+              "      div.appendChild(progress);\n",
+              "      document.body.appendChild(div);\n",
+              "\n",
+              "      const buffers = [];\n",
+              "      let downloaded = 0;\n",
+              "\n",
+              "      const channel = await google.colab.kernel.comms.open(id);\n",
+              "      // Send a message to notify the kernel that we're ready.\n",
+              "      channel.send({})\n",
+              "\n",
+              "      for await (const message of channel.messages) {\n",
+              "        // Send a message to notify the kernel that we're ready.\n",
+              "        channel.send({})\n",
+              "        if (message.buffers) {\n",
+              "          for (const buffer of message.buffers) {\n",
+              "            buffers.push(buffer);\n",
+              "            downloaded += buffer.byteLength;\n",
+              "            progress.value = downloaded;\n",
+              "          }\n",
+              "        }\n",
+              "      }\n",
+              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
+              "      const a = document.createElement('a');\n",
+              "      a.href = window.URL.createObjectURL(blob);\n",
+              "      a.download = filename;\n",
+              "      div.appendChild(a);\n",
+              "      a.click();\n",
+              "      div.remove();\n",
+              "    }\n",
+              "  "
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.Javascript object>"
+            ],
+            "application/javascript": [
+              "download(\"download_789eab11-93d2-4880-adf3-6aceee0cc5f9\", \"fake_output.zip.zip\", 80125)"
+            ]
+          },
+          "metadata": {}
+        }
+      ]
+    }
+  ]
+}

run.py

@@ -0,0 +1,6 @@
+#!/usr/bin/env python3
+
+from roop import core
+
+if __name__ == '__main__':
+    core.run()

settings.py

@@ -0,0 +1,68 @@
+import yaml
+
+class Settings:
+    def __init__(self, config_file):
+        self.config_file = config_file
+        self.load()
+
+    def default_get(_, data, name, default):
+        value = default
+        try:
+            value = data.get(name, default)
+        except:
+            pass
+        return value
+
+
+    def load(self):
+        try:
+            with open(self.config_file, 'r') as f:
+                data = yaml.load(f, Loader=yaml.FullLoader)
+        except:
+            data = None
+
+        self.selected_theme = self.default_get(data, 'selected_theme', "Default")
+        self.server_name = self.default_get(data, 'server_name', "")
+        self.server_port = self.default_get(data, 'server_port', 0)
+        self.server_share = self.default_get(data, 'server_share', False)
+        self.output_image_format = self.default_get(data, 'output_image_format', 'png')
+        self.output_video_format = self.default_get(data, 'output_video_format', 'mp4')
+        self.output_video_codec = self.default_get(data, 'output_video_codec', 'libx264')
+        self.video_quality = self.default_get(data, 'video_quality', 14)
+        self.clear_output = self.default_get(data, 'clear_output', True)
+        self.max_threads = self.default_get(data, 'max_threads', 2)
+        self.memory_limit = self.default_get(data, 'memory_limit', 0)
+        self.provider = self.default_get(data, 'provider', 'cuda')
+        self.force_cpu = self.default_get(data, 'force_cpu', False)
+        self.output_template = self.default_get(data, 'output_template', '{file}_{time}')
+        self.use_os_temp_folder = self.default_get(data, 'use_os_temp_folder', False)
+        self.output_show_video = self.default_get(data, 'output_show_video', True)
+
+
+
+
+
+    def save(self):
+        data = {
+            'selected_theme': self.selected_theme,
+            'server_name': self.server_name,
+            'server_port': self.server_port,
+            'server_share': self.server_share,
+            'output_image_format' : self.output_image_format,
+            'output_video_format' : self.output_video_format,
+            'output_video_codec' : self.output_video_codec,
+            'video_quality' : self.video_quality,
+            'clear_output' : self.clear_output,
+            'max_threads' : self.max_threads,
+            'memory_limit' : self.memory_limit,
+            'provider' : self.provider,
+            'force_cpu' : self.force_cpu,
+			'output_template' : self.output_template,
+            'use_os_temp_folder' : self.use_os_temp_folder,
+            'output_show_video' : self.output_show_video
+        }
+        with open(self.config_file, 'w') as f:
+            yaml.dump(data, f)
+
+
+