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Walking_motion_LoRA_set_for_Animatediff_v2
Cseti/Walking_motion_LoRA_set_for_Animatediff_v2
Walking_motion_LoRA_set_for_Animatediff_v2 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.
- Walking motion LoRAs for Animatediff v2 - File summary - General recommendation - Details and examples - Walking front view - Walking back view - Walking right view
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Public
Updated May 6, 2026
Repo size
483 MB
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10
Public
Repo makeup
Click a slice to open those files.
.safetensors473 MB · 98%
At a glance
- License
- mit
- Access
- Public
- Created
- Jul 3, 2024
- Updated
- May 6, 2026
- SHA
- 4e58c5cd
Model card
From the Hugging Face model README
Walking motion LoRAs for Animatediff v2
Training
This LoRA was trained on RunPod cloud GPUs.
File summary
| Name | Compatible Motion Model | Base AR (w/h) | Frames | input videos |
|---|---|---|---|---|
| 1900_cseti_6931403_walking-frontview-8vid_mv2.safetensors | v2 | (3:2) | 16 | 8 |
| 1600_cseti_1065173_walking-backview-8vid_mv2.safetensors | v2 | (3:2) | 16 | 8 |
| 1100_cseti_6134549_walking-left-sideview-3vid.safetensors | v2 | (3:2) | 16 | 3 |
| 1100_cseti_8836021_walking-right-sideview-3vid.safetensors | v2 | (3:2) | 16 | 3 |
General recommendation
- These are finetuned on a v2 model. They work also with AnimateLCM but don't work with v3 models
- Animatediff v3 adapter lora is recommended regardless they are v2 models
- If you want more motion try incrasing the scale multival (e.g. to 1.2)
- I recommend using the above Base AR (Aspect ratio) for inference
- Try playing with the lora strength and scale multival 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.
Details and examples
Walking front view
- Recommended keywords: front-view, walking
- LoRA strength: 0.8-1.0
- scale multival / motion scale: 1.0-1.2
<video controls src="https://huggingface.co/Cseti/Walking_motion_LoRA_set_for_Animatediff_v2/resolve/main/LoRA-Comparison-upscaleAll-_00054.mp4" title="front view"></video>
Walking back view
- Recommended keywords: back-view, walking
- LoRA strength: 0.8-1.0
- scale multival / motion scale: 1.0-1.2
<video controls src="https://huggingface.co/Cseti/Walking_motion_LoRA_set_for_Animatediff_v2/resolve/main/LoRA-Comparison-upscaleAll-_00063.mp4" title="back view"></video>
Walking right view
- Recommended keywords: side-view, facing right, walking
- LoRA strength: 0.5-1.0
- scale multival / motion scale: 1.0-1.2
<video controls src="https://huggingface.co/Cseti/Walking_motion_LoRA_set_for_Animatediff_v2/resolve/main/LoRA-Comparison-upscaleAll-_00052.mp4" title="right view"></video>
Walking left view
- Recommended keywords: side-view, facing left, walking
- LoRA strength: 0.5-1.0
- scale multival / motion scale: 1.0-1.2
<video controls src="https://huggingface.co/Cseti/Walking_motion_LoRA_set_for_Animatediff_v2/resolve/main/LoRA-Comparison-upscaleAll-_00048.mp4" title="left view"></video>
Support
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:
- License
- mit
- Languages
- en
- Created
- Jul 3, 2024
- Updated
- May 6, 2026