Astraali_accWAN_GGUF

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Model description

EDIT: (currently using the 1ksampler workflow with this new version of the acceleration lora: /model/1585622?modelVersionId=2014449)

2in1 - Includes an updated version of the 1ksampler workflow and a new 2ksampler workflow.

fun-reward mps lora

https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs/blob/main/Wan2.1-Fun-14B-InP-MPS.safetensors

Self forcing accelerator lora:

/model/1713337?modelVersionId=1938875

still has my custom comfyui themes in the zip file.

DISCLAIMER! You need the fun-reward-mps and the self forcing acceleration lora for these to work properly.

Update: with the 2ksampler workflow i managed to squeeze it to a total of 4 steps:

1st Ksampler - total steps 4 - steps 0 to 1 - cfg 3.5 - return with leftover noise DISABLED

2nd Ksampler - total steps 4 - steps 1 to 4 - cfg 1 - add noise ENABLED


V4.1 - Removed florence, it's kinda useless with this setup. Moved shift before sage attention, i think it's supposed to be like that, atleast it feels better now. Still contains my custom comfyui themes as an extra.


Wan gguf workflow using one of the self forcing loras to use low step counts.

Use whatever gguf model you want, i'm using the Q5_K_M.

Self forcing accelerator lora:

/model/1713337?modelVersionId=1938875 (i'm using this one)

/model/1585622?modelVersionId=1909719

Also includes my custom themes for comfyui, to install it click the kogwheel (settings) - Appearance - color palette - import: (Astraali_RedLINE.json / Astraali_DarkLINE_1.json / Astraali_BlueGOO_4.json)

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