WanVideo_comfy_fp8_scaled One-Click Setup Local Guide

If you want the fastest local installation for this model, use standard pip packages.

Follow the guidelines below to continue.

The engine will automatically fetch large dependencies in the background.

To guarantee smooth performance, the process auto-selects the best options.

📘 Build Hash: 689b091385df56d152f6d0b38c873f90 • 🗓 2026-07-02 Processor: 6-core 3.5 GHz minimum required RAM: 32 GB or higher for smooth 32k context lengths Disk: high-speed SSD 120 GB to cache model layers GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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