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The data was not properly saved or passed back to the host application.
Ensure the directory has full read/write permissions so the software can reload the Matte Assist ML models correctly. 4. Downscale the Source Media or Increase VRAM Allocation
💡 If you are working on 4K or 8K footage, try down-sampling your "Matte Assist" layer to 1080p for the calculation phase. You can then apply the generated data back to the full-resolution plate. System Requirements for ML Features Minimum VRAM: 4GB (8GB+ strongly recommended for 4K).
Sometimes, the actual machine learning weights and model files become corrupted during installation or an update. Close your host application. Re-run the Mocha Pro installer. matte assist ml render failure mocha pro verified
Reinstall the latest iteration of Mocha Pro to force a fresh download of the machine learning libraries. Preventive Measures for Stable Workflows
: If you have applied time-remapping or other effects before Mocha, the "verified" render might fail due to frame offset mismatches. Pre-compose your footage before tracking to provide Mocha with a clean, raw frame sequence.
: Update to the latest Adrenalin edition and ensure your OpenCL runtimes are up to date. 3. Clear the Cache and Reinitialize Models
What and GPU (graphics card) are you currently running? This public link is valid for 7 days
Open the "Keyframe" tab and ensure that keyframes exist for the mask, not just the tracker.
If it is set to your GPU (e.g., NVIDIA CUDA or AMD OpenCL), switch it to or OpenVINO (CPU) . Restart Mocha Pro and attempt the render.
Locate the or ML folder associated with your Mocha Pro version. Delete the Matte Assist model binaries.
However, users across the globe have encountered a sudden, workflow-halting error: Can’t copy the link right now
Before diving into deep settings, many users find that a simple reset of the software's temporary memory clears the error: Clear Host Cache
: Make sure you're using the latest version of Mocha Pro and any related ML rendering tools. Updates often include bug fixes and performance improvements.
: The ML model may struggle with very dark shots or heavy motion blur. In these cases, manual rotoscoping or adding more manual keyframes to guide the ML propagation is recommended.