Run WanVideo_comfy_fp8_scaled Locally via LM Studio One-Click Setup

Posted by kjh on Monday 6th July, 2026

Using a native PowerShell script is the absolute quickest way to install this model.

Carefully read and apply the steps described below.

The installer automatically pulls the model (could be multiple GBs).

The smart installation system will instantly find the perfect configuration.

💾 File hash: f6180bae18401f6ea735e2a097f6a87c (Update date: 2026-07-05)

Processor: 4.0 GHz+ boost clock recommended for CPU inference
RAM: minimum 16 GB for stable 8B model loading
Disk Space: required: fast PCIe 4.0 drive for instant boots
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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