How to Launch WanVideo_comfy_fp8_scaled on AMD/Nvidia GPU

To install this model locally in the shortest time, opt for Docker.

Use the instructions provided below to complete the setup.

Hands-free setup: the system self-downloads the heavy model files.

During setup, the script automatically determines and applies the best settings tailored to your machine.

🧩 Hash sum → 60b510d860aee5bf73b1c2fe930ea4dc — Update date: 2026-06-24 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Storage: extra room for future model updates and datasets GPU: modern architecture (Ada Lovelace / Ampere minimum)

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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