How to Run WanVideo_comfy_fp8_scaled

How to Run WanVideo_comfy_fp8_scaled

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

Follow the sequence of steps detailed below.

The system automatically triggers a cloud download for all heavy weights.

The configuration wizard runs silently to set up the model for peak performance.

💾 File hash: 9766be3ef1ae37689538e293e490a365 (Update date: 2026-07-01)



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • 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.

Model WanVideo_comfy_fp8_scaled
Parameters 2.5B
Resolution 1920×1080
Frame Rate 30 fps
Memory Usage 8 GB FP8
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