This is a custom VisoMaster fork/mod introducing a brand new "job manager" widget, designed to streamline repetitive workflows and enable unattended batch processing. I noticed VisoMaster lacks functionality to "set it and forget it" in terms of processing outputs, so this is my solution to that.
The idea is you get a workspace ready up to the point right before clicking record, but you save it as a "job" instead of processing immediately. This allows you to create a list of jobs (potential videos) and then process them automatically later. In theory, you can simply click the process "All" button and VisoMaster will load a job, record it, and move onto the next without you needing to do anything.
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Job Management UI: A dockable "Job Manager" widget provides controls to:
- Save the current workspace state as a "job" (custom workspace .json files) in the new
jobs/directory. - Load a previously saved job, restoring the complete workspace in a ready-to-record state.
- View and multi-select saved jobs for batch processing, loading, or deletion.
- Various checks and safeguards to ensure any user-input is valid.
- Save the current workspace state as a "job" (custom workspace .json files) in the new
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Batch Processing:
- Job management and progress tracking is done in a dedicated background thread (
JobProcessor). - Each job is loaded one at a time, fully processed, and has its .json file moved to the
jobs/completed/directory. - A GUI pop-up notifies you when all jobs are finished processing.
- Job management and progress tracking is done in a dedicated background thread (
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Output File Naming:
- When saving a job, you can optionally use the job name as the name of the output file.
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Implementation:
- Core logic resides in
app/ui/widgets/actions/job_manager_actions.py. - UI elements are integrated into the main GUI window (
main_ui.py,MainWindow.ui,widget_components.py). - Video processing (
video_processor.py,video_control_actions.py) and helper modules (miscellaneous.py,common_actions.py,models_processor.py) were updated to support job loading/saving and output naming conventions.
- Core logic resides in
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v0.2 Update | 04/23 :
- Added new start/stop frame markers
- Applies to jobs OR manual recording. Click the "+" button to use. (Standard markers are now blue)
- Six new themes to choose from!
- The default is now True-Dark. Much better themes coming soon.
- Overhauled the install_job_manager.py script
- Properly accounts for Hans' Experimental mod and presents the option to install it too.
- It can also now be used to seamlessly apply any updates for both mods.
- Compatibility is attempted but never 100% assured. There may be bugs using them together. It will backup your app/ folder as a precaution.
- Plus several other various small fixes and improvements to v0.1!
- Added new start/stop frame markers
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v0.3 Update | 05/06 :
- Segmented Recording
- Massive changes to the video recording pipeline in the backend
- You can now use any number of start/end markers to combine the results of multiple sections into one final output video
- Save a job with these markers, or set them and click record
- Added an option to set the output file name when saving a job
- Improved UI hangs when a recording begins with start/end markers
- Regular recording functionality without start/end markers remains the same
- Compatibility With Portable Version
- The
install_job_manager.pyscript now properly installs the mod with portable versions - Checks for
install.datordependencies/Pythonand runsconvert_portable_ui_to_py.bat - Huge thanks to @s.t.a.l.k.e.r2990 in Discord
- The
- More Install Script + Exp. Mod Compatibility
- Fixes compatibility with Hans' Experimental mod
- Properly cleans up old temp directories
- Other various improvements, fallbacks, and safety checks
- Fixed Webcam Functionality
- Fully works again (oops)
- Small enhancements vs stock VisoMaster
- Cam input option should appear every time if enabled
- Other Various Fixes and Improvements
- Ensured standard recording uses default naming scheme
- Fixed several typos from stock VisoMaster
- Clarified startup message
- Centered "Load Last Workspace" pop-up buttons
- Added cu128 for RTX 5000 series (still need to follow the guide)
- Segmented Recording
- Place the above
install_job_manager.pyin your main VisoMaster directory. - Open a terminal there and type
python install_job_manager.py - Install/continue with Hans' mod if desired
- Continue until script completes.
If you run into any issues, either let the script overwrite your current directory, or start with a fresh install using the guide below
- Set up your workspace until you would normally start recording (all source and target faces/embeddings selected, etc.)
- Click the "Save Job" button in the new job manager widget
- Give your job a name, untick the "Use job name for output file name" option if desired
- Select the job(s) you wish to process and click "Process Selected", or simply click the "Process All" button
- Processing begins! A pop-up window will appear when all jobs are complete.
- Multi-segment recordings can be started by setting multiple pairs of start and end markers.
Enjoy!
Important Note:
The >1.0 versions are still very much in "beta" and do not implement some of my previously shared improvements for VisoMaster as a whole. Things like the overhaul for asynchronous model loading/thread handling will hopefully be added soon. Meaning you will see the UI temporarily freeze sometimes, just like stock VisoMaster. But it should load models a bit smoother and reduce the "Loading...don't panic!" spam. Still, this is a work-in-progress and I can't guarantee it will function correctly 100% of the time or won't have a couple bugs. The most I've tested is 12 jobs in one batch, ranging from 2-90 minutes using all different kinds of settings. YMMV.
VisoMaster is a powerful yet easy-to-use tool for face swapping and editing in images and videos. It utilizes AI to produce natural-looking results with minimal effort, making it ideal for both casual users and professionals.
- Supports multiple face swapper models
- Compatible with DeepFaceLab trained models (DFM)
- Advanced multi-face swapping with masking options for each facial part
- Occlusion masking support (DFL XSeg Masking)
- Works with all popular face detectors & landmark detectors
- Expression Restorer: Transfers original expressions to the swapped face
- Face Restoration: Supports all popular upscaling & enhancement models
- Manually adjust expressions and poses for different face parts
- Fine-tune colors for Face, Hair, Eyebrows, and Lips using RGB adjustments
- Live Playback: See processed video in real-time before saving
- Face Embeddings: Use multiple source faces for better accuracy & similarity
- Live Swapping via Webcam: Stream to virtual camera for Twitch, YouTube, Zoom, etc.
- User-Friendly Interface: Intuitive and easy to use
- Video Markers: Adjust settings per frame for precise results
- TensorRT Support: Leverages supported GPUs for ultra-fast processing
- Many More Advanced Features 🎉
- For Windows users with an Nvidia GPU, we provide an automatic installer for easy set up.
- You can get the installer from the releases page or from this link.
- Choose the correct CUDA version inside the installer based on your GPU Compatibility.
- After successful installation, go to your installed directory and run the Start_Portable.bat file to launch VisoMaster
Follow the steps below to install and run VisoMaster on your system.
Before proceeding, ensure you have the following installed on your system:
Open a terminal or command prompt and run:
git clone https://github.com/PronPan/VisoMaster-Job-Manager.gitcd VisoMaster-Job-Managerconda create -n visomaster python=3.10.13 -yconda activate visomasterconda install -c nvidia/label/cuda-12.4.1 cuda-runtimeconda install -c conda-forge cudnnconda install scikit-imagepip install -r requirements_cu124.txt- Download all the required models
python download_models.py- Download all the files from this page and copy it to the dependencies/ folder.
Note: You do not need to download the Source code (zip) and Source code (tar.gz) files
Once everything is set up, start the application by opening the Start.bat file.
On Linux just run python main.py.
- If you face CUDA-related issues, ensure your GPU drivers are up to date.
- For missing models, double-check that all models are placed in the correct directories.
This project was made possible by the combined efforts of @argenspin and @Alucard24 with the support of countless other members in our Discord community. If you wish to support us for the continued development of Visomaster, you can donate to either of us (or Both if you're double Awesome 😃 )
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VisoMaster is a hobby project that we are making available to the community as a thank you to all of the contributors ahead of us. We've copied the disclaimer from Swap-Mukham here since it is well-written and applies 100% to this repo.
We would like to emphasize that our swapping software is intended for responsible and ethical use only. We must stress that users are solely responsible for their actions when using our software.
Intended Usage: This software is designed to assist users in creating realistic and entertaining content, such as movies, visual effects, virtual reality experiences, and other creative applications. We encourage users to explore these possibilities within the boundaries of legality, ethical considerations, and respect for others' privacy.
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Remember, technology should be used to empower and inspire, not to harm or deceive. Let's strive for ethical and responsible use of deep fake technology for the betterment of society.