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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...
Model source
Source description
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.
How to use
copy the motion lora files into your "ComfyUI\models\animatediff_motion_lora" folder
Use the "Load Animatediff LoRA" node
General recommendation
These are finetuned on a v2 model. They work also with AnimateLCM but don't work with v3 models
Sources
1 sourceModel artifacts
1 artifactcsetisBasicCameraMotion_zoomingIn32fr.safetensors
safetensors · 113 MB · SHA-256 693651ab6a8f…8a2d · Civitai
DownloadSource excerpts
1 excerptSource context: 1594 downloads · Type MotionModule · Base model SD 1.5
They work with SD 1.5 checkpoints
Animatediff v3 adapter LoRA is recommended regardless they are v2 models
If you want more motion try increasing the scale multival
I recommend using the above Base AR (Aspect ratio) for inference however they might work with other ARs too
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.
If you chain multiple motion LoRAs, I recommend lowering their strength, otherwise, the quality of the result will be worse
Example workflow
You will find an example workflow here: https://civitai.com/articles/6702 With this you will be able to recreate this animation: https://civitai.com/images/24310950
Details
Zooming in (16 frame)
recommended strength: 0.7-1.0
Zooming in (32 frame)
this is an experimental motion LoRA trained on 32 frames so it can be used with higher context length than 16.
recommended strength: 0.7-0.85
Zooming out
recommended strength: 0.7-1.0
Lateral (horizontal) left
recommended strength: 0.7-1.0
Lateral (horizontal) right
recommended strength: 0.7-1.0
Crane (vertical) up
recommended strength: 0.7-1.0
Crane (vertical) down
recommended strength: 0.7-1.0
