How to Autostart WanVideo_comfy_fp8_scaled PC with NPU

How to Autostart WanVideo_comfy_fp8_scaled PC with NPU

The fastest method for installing this model locally is by using Docker.

Simply follow the directions outlined below.

The download manager will automatically pull several gigabytes of data.

To save you time, the system will automatically determine efficient resource allocation.

🔗 SHA sum: 8a0944c204635492452e10e3539de209 | Updated: 2026-07-03



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk: 150+ GB for high-context vector database storage
  • Graphics: 12 GB VRAM minimum required for basic quantization

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.

Model WanVideo_comfy_fp8_scaled
Parameters 2.5B
Resolution 1920×1080
Frame Rate 30 fps
Memory Usage 8 GB FP8
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