Copy Face
Copy Face replaces a source face (called “source face” or “target face”) with a new face in a temporaly stable manner.
Requirements
Windows only currently
NVIDIA GPU (2xxx series or newer) with at least 10 to 12GB VRAM
Workflow
Important: In order to safeguard this technology, we introduce a face-verification system. All render results will have a small watermark on the new face. In order to get rid of this, please send the new face over to us (vie aescripts ticket). We send you an unrestricted input image back.
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Apply the effect to your footage. Make sure only one face is present in the clip, as Copy Face currently only supports single face processing (working on an extension already).
Choose another layer which contains the new face.
Select “New Face” to verify that the new face is aligned properly, so it covers the whole frame. If the face is not aligned automatically, make sure the face is already centered in the selected layer.
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There are two modes: In “One Frame Preview”, the source face is replaced with the new face frame-by-frame. This allow for quick preview and tweaking of settings, but is not temporaly stable. Choose “Full Sequence” to process multiple frames together. The plugin works on ~50 frames at once, so for the first frame and then every ~50 frames the computation is longer (up to 1 or 2 minutes). All frames in between are rendered very quick. Note: The visual output of “One Frame Preview” and “Full Sequence” will be slightly different.
If you want to cancel “Full Sequence” processing, click “Stop Processing”.
Parameters
Mode
Use “One Frame Preview” for quick feedback and “Full Sequence” to trigger rendering of multiple frames. “New Face” shows the cropped new face and “Mask” the black / white matte used for blending.
Quality
Number of iterations the AI model will process the individual frames for temporal alignment.
Resolution
Resolution the AI works on.
New Face Strength
The higher this value the stronger the influence of the new face on the result.
Align With Old Face
Aligns the result with the head pose and facial expression of the source face.
Mask Dilation & Mask Blur
Tweak the matte that is used for blending of the new face.
Backend & Performance
Hardware Acceleration (on Silicon Macs and CUDA machines only)
Run calculations on the GPU. This will give massive speedups compared to CPU mode.
Lower Precision
Compute with reduced precision if possible. This can save up to half of the memory and give you some speedups at the cost of sometimes slightly reduced quality.
CUDA Memory Sharing (on CUDA machines only)
Try to keep frames data on the GPU for rendering. This is faster, especially on larger resolutions like 4k. Might not work on some NVIDIA driver versions (e.g. 476.x) so keep your drivers updated.
Model Offloading
Enabling this will make sure only the AI model parts which are needed for computation are kept on the GPU. This might lower VRAM usage under some settings at the cost of moving AI models in and out of GPU memory. Options are:
No offloading: Keep all models on the GPUs VRAM.
CPU: Move unneeded models to the RAM and back if needed. This will occupy RAM.
Full Unload: Completely unload models if not needed. This saves both VRAM and RAM but might be much slower, as the models have to be loaded again for every request.
Timeout
The maximum time a frame can be processed before the computation times out.
Samples (not available for all settings)
The number of ai samples to calculate. This will improve the models accuracy.
Parallel (only available if Samples > 2)
This will render all samples at the same time (faster), if disabled computation might be slower but require less VRAM.
Computation Tiles (not available for all settings)
Split the computation into several tiles. This can help if you run out of memory.
Stop Processing
Cancels a long-running frame computation immediately.
Restart
If a frame was canceled with “Stop Processing”, trigger a rerender.