Run WanVideo_comfy_fp8_scaled Locally (No Cloud) One-Click Setup

Using Docker is the absolute quickest way to install this model on your local machine.

Follow the step-by-step instructions below.

No manual effort needed; the setup auto-ingests the large data.

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

📘 Build Hash: 398ef4c2143c8e34dec67e850cbd5f9f • 🗓 2026-06-27 Verify Processor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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