Matte Assist Ml Render Failure Mocha Pro Verified [2025-2026]
To stop this error from returning, keep your software updated to the latest point release, as Boris FX frequently issues stability patches for machine learning models.Additionally, close heavy background applications like web browsers or 3D software when rendering ML-heavy timelines to ensure Mocha Pro has exclusive access to your GPU resources. To help pinpoint your exact issue, let me know:
| Cause Category | Specific Reason | |----------------|----------------| | | Incompatible or outdated GPU driver; insufficient VRAM; OpenCL/Vulkan runtime missing or corrupt | | ML Model Files | Corrupted, missing, or partially downloaded ML model assets (downloaded on first use) | | Disk / Permissions | Mocha cannot write temporary ML cache files (read‑only temp folder, full disk, or antivirus block) | | Host Integration | Host app memory limit reached; Mocha Pro plug‑in version mismatch with host | | Input Footage | Unusual resolution (non‑mod 16), unsupported pixel format, or damaged video frame | | Application State | Previous crash left a locked render session or corrupt user preferences | matte assist ml render failure mocha pro verified
: This is a feature often used in visual effects and video editing software to help create mattes or masks for objects within a video sequence. It's particularly useful for tasks like chroma keying, object removal, and other tasks requiring a clean separation of subjects from the background. To stop this error from returning, keep your
If GPU acceleration is enabled, turn it off and force Mocha to use CPU processing. If GPU acceleration is enabled, turn it off
Boris FX has confirmed (as of v11.5) that —they are environment-specific. The above fixes resolve >95% of reported cases in production studios.
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).
Cached data from previous frames can conflict with the ML model's operations, leading to instant render drops.




