WanVideo_comfy_fp8_scaled Direct EXE Setup

Running this model locally is fastest when deployed through Docker.

Refer to the instructions below to proceed.

The client handles the setup, pulling gigabytes of data automatically.

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

🔍 Hash-sum: 22e108e440ab31e8eb513339601ac163 | 🕓 Last update: 2026-06-28 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 48 GB needed to prevent memory swapping to disk Disk Space: free: 80 GB on system drive for scratch space 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.

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