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This is my new set of walking motion LoRAs trained on new parameters and dataset.
Modellquelle
Quellenbeschreibung
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.
Quellen
1 QuelleModellartefakte
1 ArtefaktcsetisWalkingMotion_walkingFrontViewV1.safetensors
safetensors · 113 MB · SHA-256 f4d2da9fd964…43a9 · Civitai
HerunterladenQuellenauszüge
2 AuszügeSource context: 1794 downloads · Type MotionModule · Base model SD 1.5
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
Source context: 1757 downloads · Type MotionModule · Base model SD 1.5
