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Download README.md from Kijai/WanVideo_comfy_fp8_scaled: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
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https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/resolve/0d3d8b15f8f83281e3308e7c9a562d49e30fb2d1/README.md
- Command line
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hf download hf://Kijai/WanVideo_comfy_fp8_scaled@0d3d8b15f8f83281e3308e7c9a562d49e30fb2d1/README.md
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curl -L -o README.md https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/resolve/0d3d8b15f8f83281e3308e7c9a562d49e30fb2d1/README.md
1.09 kB
metadata
tags:
- diffusion-single-file
- comfyui
license: apache-2.0
base_model:
- Wan-AI/Wan2.1-VACE-14B
- Wan-AI/Wan2.1-VACE-1.3B
Better fp8 scaled models (when measured against fp16) based on quantization code from https://github.com/Tencent-Hunyuan/HunyuanVideo/blob/main/hyvideo/modules/fp8_optimization.py
Can be used with: https://github.com/kijai/ComfyUI-WanVideoWrapper (latest version) and ComfyUI native WanVideo nodes.
14B-T2V comparison test without LoRAs, 25 steps, 832x480x81
2.2 A14B-T2V test
The e5m2 marked as v2 is the one uploaded here and these are all scaled even if I forgot to label properly.