Run WanVideo_comfy_fp8_scaled with Native FP4 Local Guide

Using the Windows Package Manager is the quickest way to trigger the setup.

Follow the guidelines below to continue.

Be patient as the system self-retrieves massive model weights dynamically.

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

🔍 Hash-sum: 71e8d0c984143cbeaf0d7298766d89c0 | 🕓 Last update: 2026-06-30

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Processor: high single-core performance needed for token latency
RAM: required: 16 GB absolute minimum for small models
Disk Space: 100 GB for multi-modal model vision components
Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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Run WanVideo_comfy_fp8_scaled with Native FP4 Local Guide

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