Downloads · 30 days
0
Cseti/General_motionLoRA_32fr_sd15_ad2_v1
General_motionLoRA_32fr_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.
This LoRA was trained on RunPod cloud GPUs.
Downloads · 30 days
0
Access
Public
Updated May 6, 2026
Repo size
132 MB
Likes
11
Public
Click a slice to open those files.
.safetensors118 MB · 89%
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 |
|---|---|---|---|---|
| 16000_cseti_4507345_general-70vid_mv2.safetensors | v2 | (1:1) | 32 | 70 |
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
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.
<video controls src="https://huggingface.co/Cseti/General_motionLoRA_32fr_sd15_ad2_v1/resolve/main/LoRA-comparison-us_00112.mp4" title="zoom in 32 frames"></video>
<video controls src="https://huggingface.co/Cseti/General_motionLoRA_32fr_sd15_ad2_v1/resolve/main/LoRA-comparison-us_00113.mp4" title="zoom in 32 frames"></video>
<video controls src="https://huggingface.co/Cseti/General_motionLoRA_32fr_sd15_ad2_v1/resolve/main/LoRA-comparison-us_00115.mp4" title="zoom in 32 frames"></video>
<video controls src="https://huggingface.co/Cseti/General_motionLoRA_32fr_sd15_ad2_v1/resolve/main/LoRA-comparison-us_00116.mp4" title="zoom in 32 frames"></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: