Setup WanVideo_comfy_fp8_scaled Using Pinokio with Native FP4

Deploying this model locally is quickest when done via a simple curl command.

Simply follow the directions outlined below.

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

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

🔐 Hash sum: 5bb935b73579fe0c592470bf5c24ffed | 📅 Last update: 2026-07-04 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: minimum 16 GB for stable 8B model loading Disk Space: free: 80 GB on system drive for scratch space GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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