walking / low_v3.0 /README.md
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language:
  - en
tags:
  - art

walking

Creator: baihsan Type: LORA Base Model: Wan Video 2.2 I2V-A14B Version: low_v3.0 Trigger Words: N/A

Civitai Model ID: 1916746 Civitai Version ID: 2184286

Stats (at time of fetch for this version):

  • Downloads: 909
  • Rating: 0 (0 ratings)
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๐Ÿ“„ Description (Parent Model)

I created this to fix my some pain points when making the character walk: Sometimes the character walks but moves backward. Sometimes the character walks but moves forward for a few step then move backward, Sometimes the character walks in place (walk but not go anywhere) Sometimes the steps go out of sync, making the movement look unnatural. . V3.0 Main Fix: Resolves the moonwalk issue . Based on my experiments, itโ€™s a lot better now. Improvement: Fixes cases where some images caused the model to stubbornly refuse to walk. Strength: 0.7-1.0 Trigger Word (Important): wlkng, The subject walks casually alongside the viewer, with the camera following the subjectโ€™s movement. (Thanks to @Corbe for proposing the prompt idea that helped fix the moonwalk issue.)

Version Notes (low_v3.0)

I created this to fix my some pain points when making the character walk: Sometimes the character walks but moves backward. Sometimes the character walks but moves forward for a few step then move backward, Sometimes the character walks in place (walk but not go anywhere) Sometimes the steps go out of sync, making the movement look unnatural. . V3.0 whole new dataset, and more dataset longer length dataset (10 secs ++) fix cases where some images make the model stubbornly refuse to walk. reduce the pull back effect due to wan2.2 it self and short dataset issue . Strength: 1.0 . main Trigger word ( camera from side) : wlkng . sample prompt : wlkng she is walking forward quickly, her arm swing as she walk naturally, her breasts are jiggling each step she walk, her breasts are swaying each step she walk, . .


Civitai Links


File Information

  • Filename: wlkng low 250903.safetensors
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  • Hash (AutoV2): 19ED2167CE
  • Hash (SHA256): 19ED2167CEC49F44C8D6B255C31047852D478B9B62BFA5CC94EFBD8CC8AA6629