How to Run WanVideo_comfy_fp8_scaled For Low VRAM (6GB/8GB) 2026/2027 Tutorial

How to Run WanVideo_comfy_fp8_scaled For Low VRAM (6GB/8GB) 2026/2027 Tutorial

The fastest way to get this model running locally is via Docker.

Follow the guidelines below to continue.

1-click setup: the app automatically fetches the large weight files.

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

📊 File Hash: e595d71f65bd0019ec13fd9f72dfd0ff — Last update: 2026-06-26



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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