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WAN 2.1 Self Forcing w/ LoRA T2V and VACE I2V(Low VRAM)

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Description

I've put together a simple custom 2 part text-to-video and image-to-video workflow with VACE, that uses the self_forcing_dmd model and Kijai's WAN 14B Lightx2v LoRA which brings down inference to only 4 steps. To make it more accessible for those of us with less powerful GPU's, it also uses a lightweight UMT5 GGUF clip model.

If you would like a full breakdown of the workflow and the installation process, you can watch my YouTube tutorial below.


Link -  https://youtu.be/TyiEHj8TtTE




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  • - latest (2 months ago)

Primitive Nodes (9)

ClipLoaderGGUF (2)

EmptyHunyuanLatentVideo (1)

Fast Groups Bypasser (rgthree) (1)

ModelSamplingSD3 (2)

Note (1)

TrimVideoLatent (1)

WanVaceToVideo (1)

Custom Nodes (17)

ComfyUI

  • - CLIPTextEncode (4)

  • - VAELoader (2)

  • - VAEDecode (2)

  • - UNETLoader (2)

  • - LoraLoader (2)

  • - KSampler (2)

  • - LoadImage (1)

ComfyUI-VideoHelperSuite

  • - VHS_VideoCombine (2)

Checkpoints (0)

LoRAs (2)

Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors