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BigDannyPt/
WAN-2.2-SmoothMix-FP16

Name: WAN-2.2-SmoothMix-FP16
Availability: InStock

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I'm experimentei running the script https://github.com/Kickbub/Dequant-FP8-ComfyUI/blob/main/dequantize_fp8v2.py to turn it to FP16 to check if there is an imporvement on quality and size

There is the full FP16 conversion, around 40Gb, and some GGUF.

Please provide feedback so I know if I should run this script always before GGUF other models.

Videos made with UMT GGUF Q8 and VAE FP32

.	F8	F16
Full
Q8

There is another example in the example folder

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if you would like to help me, it seems that runpod has a Refer thing - https://runpod.io?ref=d2452mau

You get	I get
- A one-time credit of $5 when they sign up with your link and adds $10 for the first time - Instant access to Runpod's GPU resources	- A one-time credit of $5 when a user signs up with your link and adds $10 for the first time - Credits on referred user spend during their first 6 months. (5% Serverless and 3% Pods)

BigDannyPt/WAN-2.2-SmoothMix-FP16