Training
This LoRA was trained on RunPod cloud GPUs.
Model Description
This repository contains a collection of basic camera motion LoRAs finetuned on Animatediff v2 models. The training process utilized Kijai's AnimateDiff Motion Director ComfyUI nodes. These LoRAs have been tested exclusively in ComfyUI with Kosinkadink's AnimateDiff-Evolved nodes, however they may be compatible with other AnimateDiff implementations.
File summary
| Name | Compatible Motion Model | Base AR (w/h) | Frames | input videos |
|---|---|---|---|---|
| 16000_cseti_4507345_general-70vid_mv2.safetensors | v2 | (1:1) | 32 | 70 |
How to use
- copy the motion lora files into your "ComfyUI\models\animatediff_motion_lora" folder
- Use the "Load Animatediff LoRA" node
- set the context_length parameter to 32 and context_overlap to 8 (it might work with other values but this is how I tested it)
Settings and recommendations
Use it with strength: 0.8
This motion LoRA is finetuned on a v2 motion model. It works also with AnimateLCM but don't work with v3 models
It works with SD 1.5 checkpoints
Animatediff v3 adapter LoRA is recommended regardless it is a v2 model.
If you want more motion try increasing the scale multival or lower the strength of the v3 adapter LoRA
Try playing with the strength of
- motion LoRA
- scale multival
- v3_adapter lora
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.
Examples
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: