Matte Assist Ml Render Failure Mocha Pro Verified
: In After Effects, use Edit > Purge > All Memory & Disk Cache .
. This has been verified to resolve random render failures in ACES-managed projects. 3. Purge Cache and Reset GPU
I can provide the precise steps or settings to change for your specific software setup. Share public link
Close your host application and Mocha. Navigate to your operating system's temporary directory: Windows: %localappdata%\BorisFX\ and %appdata%\BorisFX\ matte assist ml render failure mocha pro verified
Machine learning frameworks can crash if third-party software attempts to hook into the GPU pipeline while a model is running. Turn off the following applications before rendering: MSI Afterburner / RivaTuner Statistics Server NVIDIA GeForce Experience Overlay Discord In-Game Overlay Summary Checklist for Fast Resolution Expected Result Switch ML Device to CPU in Preferences Isolates hardware vs. software issue Step 2 Install NVIDIA Studio Driver (Clean Install) Resolves API framework conflicts Step 3 Clear Cache & Purge Host Memory Removes corrupted frames and frees up VRAM Step 4 Use lower resolution proxies Reduces the memory load on the ML model
What and version are you using? (e.g., After Effects 2026, Premiere Pro)
: If the ML matte fails on specific frames, go to the first problematic frame and use the "Reference from Matte" tool to create a manual spline that helps guide the AI. : In After Effects, use Edit > Purge
ML processing requires significant VRAM. If Mocha Pro runs out of memory, the render will fail.
Mocha stores ML data in a temporary directory. If this folder becomes bloated or corrupt, the render fails. Navigate to your local temp folder. Locate the Mocha Pro directory. Delete the ml_models or cache subfolders.
Although less common, a corrupt or improperly activated license can cause render failures. This can happen if: if that fails
What are you using (e.g., After Effects, Premiere Pro, Nuke, Standalone)? What is your GPU model and how much VRAM does it have?
🟡 In some cases, particularly on specific Apple Silicon Macs (M1, M2, M4), the software has a bug that prevents it from correctly selecting the GPU or, if that fails, falling back to the CPU to process the task. This can leave the render in a state of failure.
The ML model scales its memory usage based on composition resolution. High-resolution footage (4K and above) can easily overload graphics cards with lower Video RAM (VRAM).
: In After Effects, use Edit > Purge > All Memory & Disk Cache .
. This has been verified to resolve random render failures in ACES-managed projects. 3. Purge Cache and Reset GPU
I can provide the precise steps or settings to change for your specific software setup. Share public link
Close your host application and Mocha. Navigate to your operating system's temporary directory: Windows: %localappdata%\BorisFX\ and %appdata%\BorisFX\
Machine learning frameworks can crash if third-party software attempts to hook into the GPU pipeline while a model is running. Turn off the following applications before rendering: MSI Afterburner / RivaTuner Statistics Server NVIDIA GeForce Experience Overlay Discord In-Game Overlay Summary Checklist for Fast Resolution Expected Result Switch ML Device to CPU in Preferences Isolates hardware vs. software issue Step 2 Install NVIDIA Studio Driver (Clean Install) Resolves API framework conflicts Step 3 Clear Cache & Purge Host Memory Removes corrupted frames and frees up VRAM Step 4 Use lower resolution proxies Reduces the memory load on the ML model
What and version are you using? (e.g., After Effects 2026, Premiere Pro)
: If the ML matte fails on specific frames, go to the first problematic frame and use the "Reference from Matte" tool to create a manual spline that helps guide the AI.
ML processing requires significant VRAM. If Mocha Pro runs out of memory, the render will fail.
Mocha stores ML data in a temporary directory. If this folder becomes bloated or corrupt, the render fails. Navigate to your local temp folder. Locate the Mocha Pro directory. Delete the ml_models or cache subfolders.
Although less common, a corrupt or improperly activated license can cause render failures. This can happen if:
What are you using (e.g., After Effects, Premiere Pro, Nuke, Standalone)? What is your GPU model and how much VRAM does it have?
🟡 In some cases, particularly on specific Apple Silicon Macs (M1, M2, M4), the software has a bug that prevents it from correctly selecting the GPU or, if that fails, falling back to the CPU to process the task. This can leave the render in a state of failure.
The ML model scales its memory usage based on composition resolution. High-resolution footage (4K and above) can easily overload graphics cards with lower Video RAM (VRAM).
