This is my new set of walking motion LoRAs trained on new parameters and dataset.

General recommendation

• These are finetuned on a v2 model. They work also with AnimateLCM but don't work with v3 models

• They are all trained on 16 frames. It means most probably the motion won't be flawless for inferences above 16 frames.

• 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 3:2 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.

LoRA specific recommendations

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

描述:

训练词语: front-view,walking