How to Autostart WanVideo_comfy_fp8_scaled PC with NPU No Python Required Step-by-Step

Deploying this model locally is quickest when done via a simple curl command.

Please adhere to the deployment steps listed below.

The installer automatically pulls the model (could be multiple GBs).

Your resources are automatically evaluated to lock in the premium configuration.

🔗 SHA sum: d72b19d9f51f62f4e782f5db7c768028 | Updated: 2026-06-29 Verify Processor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to disk Disk: high-speed SSD 120 GB to cache model layers Graphics: CUDA Compute Capability 8.0+ required for flash-attention

The WanVideo_comfy_fp8_scaled model leverages a refined FP8 quantization scheme to deliver high‑fidelity video generation while reducing memory footprint. It supports up to 1920×1080 resolution at 30 fps, enabling smooth playback for a wide range of creative workflows. By integrating a comfy diffusion backbone, the model achieves faster inference times without sacrificing visual coherence. A dedicated scaling layer ensures consistent quality across diverse content types, from cinematic scenes to everyday footage. The accompanying technical table below summarizes key performance metrics and hardware requirements for optimal deployment.

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