Cseti/Walking_motion_LoRA_set_for_Animatediff_v2

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Walking motion LoRAs for Animatediff v2

Training

This LoRA was trained on RunPod cloud GPUs.

File summary

| Name | Compatible Motion Model | Base AR (w/h) | Frames | input videos |

| ---------------------------------------------------------- | ----------------------- | ------------- | ------ | ------------ |

| 1900_cseti_6931403_walking-frontview-8vid_mv2.safetensors | v2 | (3:2) | 16 | 8 |

| 1600_cseti_1065173_walking-backview-8vid_mv2.safetensors | v2 | (3:2) | 16 | 8 |

| 1100_cseti_6134549_walking-left-sideview-3vid.safetensors | v2 | (3:2) | 16 | 3 |

| 1100_cseti_8836021_walking-right-sideview-3vid.safetensors | v2 | (3:2) | 16 | 3 |

General recommendation

  • These are finetuned on a v2 model. They work also with AnimateLCM but don't work with v3 models
  • Animatediff v3 adapter lora is recommended regardless they are v2 models
  • If you want more motion try incrasing the scale multival (e.g. to 1.2)
  • I recommend using the above Base AR (Aspect ratio) for inference
  • Try playing with the lora strength and scale multival like increasing the scale multival and lowering the lora strength.
  • I recommend using IP-Adapter, however it reduces the effect of the mLORAs, so play with the strength. "Ease in out" weight type is a good starting point.

Details and examples

Walking front view

  • Recommended keywords: front-view, walking
  • LoRA strength: 0.8-1.0
  • scale multival / motion scale: 1.0-1.2

Walking back view

  • Recommended keywords: back-view, walking
  • LoRA strength: 0.8-1.0
  • scale multival / motion scale: 1.0-1.2

Walking right view

  • Recommended keywords: side-view, facing right, walking
  • LoRA strength: 0.5-1.0
  • scale multival / motion scale: 1.0-1.2

Walking left view

  • Recommended keywords: side-view, facing left, walking
  • LoRA strength: 0.5-1.0
  • scale multival / motion scale: 1.0-1.2

Support

Producing and sharing this kind of open-source work requires renting cloud GPUs, which gets expensive quickly. If you find it useful and would like me to keep contributing, your support is very much appreciated:

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