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Cseti/Basic_camera_motion_LoRAs_sd15-ad2-v1
Basic_camera_motion_LoRAs_sd15-ad2-v1 is a machine learning model from Cseti. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
- Basic camera motion LoRAs for Animatediff v2 motion models - version 1 - Model Description - File summary - How to use - General recommendation - Details and examples
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Updated May 6, 2026
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From the Hugging Face model README
This LoRA was trained on RunPod cloud GPUs.
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.
| Name | Compatible Motion Model | Base AR (w/h) | Frames | input videos |
|---|---|---|---|---|
| 1600_cseti_9192119_camera-zoomout-10vid_mv2.safetensors | v2 | (3:2) | 16 | 10 |
| 1600_cseti_1077723_camera-zoomin-10vid_mv2.safetensors | v2 | (3:2) | 16 | 10 |
| 2800_cseti_1093371_camera-zoomin-32f-10vid_mv2.safetensors | v2 | (3:2) | 32 | 10 |
| 1600_cseti_6664682_camera-lateral_right-10vid_mv2.safetensors | v2 | (3:2) | 16 | 10 |
| 1600_cseti_9213319_camera-lateral_left-10vid_mv2.safetensors | v2 | (3:2) | 16 | 10 |
| 1600_cseti_9406077_camera-crane_down-10vid_mv2.safetensors | v2 | (3:2) | 16 | 10 |
| 1600_cseti_1720230_camera-crane_up-10vid_mv2.safetensors | v2 | (3:2) | 16 | 10 |
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
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
<video controls src="https://huggingface.co/Cseti/Basic_camera_motion_LoRAs_sd15-ad2-v1/resolve/main/asset/LoRA-comparison-zoomin16.mp4" title="zoomin 16 frames"></video>
<video controls src="https://huggingface.co/Cseti/Basic_camera_motion_LoRAs_sd15-ad2-v1/resolve/main/asset/LoRA-comparison-zoomin32.mp4" title="zoom in 32 frames"></video>
<video controls src="https://huggingface.co/Cseti/Basic_camera_motion_LoRAs_sd15-ad2-v1/resolve/main/asset/LoRA-comparison-zoomout16.mp4" title="zoom out"></video>
<video controls src="https://huggingface.co/Cseti/Basic_camera_motion_LoRAs_sd15-ad2-v1/resolve/main/asset/LoRA-comparison-lateral_left.mp4" title="right view"></video>
<video controls src="https://huggingface.co/Cseti/Basic_camera_motion_LoRAs_sd15-ad2-v1/resolve/main/asset/LoRA-comparison-lateral_right.mp4" title="right view"></video>
<video controls src="https://huggingface.co/Cseti/Basic_camera_motion_LoRAs_sd15-ad2-v1/resolve/main/asset/LoRA-comparison-crane_up.mp4" title="right view"></video>
<video controls src="https://huggingface.co/Cseti/Basic_camera_motion_LoRAs_sd15-ad2-v1/resolve/main/asset/LoRA-comparison-crane_down.mp4" title="right view"></video>
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: