Instructions to use Kijai/WanVideo_comfy_fp8_scaled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use Kijai/WanVideo_comfy_fp8_scaled with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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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/c3d71457370b093da809e1204b0d79ec1fe906d8/README.md
- Command line
-
hf download hf://Kijai/WanVideo_comfy_fp8_scaled@c3d71457370b093da809e1204b0d79ec1fe906d8/README.md
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curl -L -o README.md https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/resolve/c3d71457370b093da809e1204b0d79ec1fe906d8/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.