Cseti's Basic camera motion LoRAs sd15-ad2-v1

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

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