Deploy WanVideo_comfy_fp8_scaled on Copilot+ PC For Beginners

If you need a near-instant local setup, just fetch files via a basic curl request.

Please adhere to the deployment steps listed below.

The tool automatically synchronizes and downloads the model database.

The script runs a quick hardware check to dynamically adjust parameters for elite speed.

🛠 Hash code: 4aacc149a7906d5d66af803ded64ce94 — Last modification: 2026-07-02



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: required: 16 GB absolute minimum for small models
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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