
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
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copy the motion lora files into your "ComfyUI\models\animatediff_motion_lora" folder
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Use the "Load Animatediff LoRA" node
General recommendation
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These are finetuned on a v2 model. They work also with AnimateLCM but don't work with v3 models
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They work with SD 1.5 checkpoints
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Animatediff v3 adapter LoRA is recommended regardless they are v2 models
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If you want more motion try increasing the scale multival
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I recommend using the above Base AR (Aspect ratio) for inference however they might work with other ARs too
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Try playing with the strength of
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motion LoRA
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scale multival
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v3_adapter lora
like increasing the scale multival and lowering the lora strength.
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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.
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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)
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recommended strength: 0.7-1.0
Zooming in (32 frame)
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this is an experimental motion LoRA trained on 32 frames so it can be used with higher context length than 16.
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recommended strength: 0.7-0.85
Zooming out
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recommended strength: 0.7-1.0
Lateral (horizontal) left
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recommended strength: 0.7-1.0
Lateral (horizontal) right
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recommended strength: 0.7-1.0
Crane (vertical) up
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recommended strength: 0.7-1.0
Crane (vertical) down
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recommended strength: 0.7-1.0
描述:
训练词语:
名称: csetisBasicCameraMotion_craneUp16fr.safetensors
大小 (KB): 115575
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success