Follow these steps in order to resolve the error and restore rendering stability. 1. Switch the Machine Learning Hardware Device
ML models load massive datasets directly onto your graphics card. If your GPU runs out of Video RAM (VRAM), the render will instantly fail. This is common when working with 4K or 8K source footage. ⚙️ Outdated GPU Drivers
Machine learning models must load entirely into your graphics card's video memory (VRAM).If you working with 4K, 8K, or high-bitrate footage, your GPU may run out of memory instantly during render time. 2. Outdated OpenCL or CUDA Drivers
Reopen the project, set the viewer to , and launch Mocha. matte assist ml render failure mocha pro verified
Support will escalate to engineering if the ML runtime (ONNX Runtime + custom Boris FX layers) shows a verified incompatibility with specific GPU hardware (e.g., Intel Arc, some older AMD GPUs).
Reinstall the latest iteration of Mocha Pro to force a fresh download of the machine learning libraries. Preventive Measures for Stable Workflows
The "verified" status of an ML failure often means the specific bug is recognized in patch notes or user forums for certain software versions. Check Host Plugin Compatibility Follow these steps in order to resolve the
C:\Users\[Username]\AppData\Local\BorisFX\Mocha Pro\logs
After your ML tracking, ensure you are in the Matte section.
Based on user experiences and technical documentation, here are the steps to fix these issues. 1. Ensure Full Render in Mocha Interface If your GPU runs out of Video RAM
If you can tell me (After Effects, Resolve, Flame, etc.), I can give you more specific troubleshooting steps.
Before changing complex settings, clear out the temporary data that might be corrupting your render. Go to in Mocha Pro. Navigate to the Cache tab. Click Clear Cache . Restart your host application and try the render again. 2. Lower the Resolution (Proxy Workflow)