Quick Run WanVideo_comfy_fp8_scaled Using Pinokio Full Speed NPU Mode

Quick Run WanVideo_comfy_fp8_scaled Using Pinokio Full Speed NPU Mode

Running this model locally is fastest when deployed through Docker.

Simply follow the directions outlined below.

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

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

🛠 Hash code: ed7757ab7da0f5a54cdf8d6ead2f1fe6 — Last modification: 2026-06-26



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk: 150+ GB for high-context vector database storage
  • 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.

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