Sponsored by
iMean AI Trip Planner
Remade-AI / Tsunami
Model's Last Updated: March 21 2025
text-to-video
Introduction of Tsunami
Model Details of Tsunami
Realistic Tsunami LoRA for Wan2.1 14B T2V
Overview
This LoRA is trained on the Wan2.1 14B T2V model and allows you to generate videos of realistic tsunamis!
Features
- Trained on the Wan2.1 14B T2V base model
- Consistent results across different object and scenes types
- Simple prompt examples that are easy to adapt
Community
- Discord: Join our community to generate videos with this LoRA for free
- Request LoRAs: We're training and open-sourcing Wan2.1 LoRAs for free - join our Discord to make requests!
- Prompt
- The video shows a coastal village hit by a t5un@m1 realistic tsunami. Buildings are flooded, boats are capsized, and debris litters the streets, while people are seen evacuating the area.
- Prompt
- The video is of a beach with many boats and jet skis. The water recedes and then a t5un@m1 realistic tsunami rushes in, sweeping away all the objects on the beach. The sky is sunny.
- Prompt
- The video shows a t5un@m1 realistic tsunami wave crashing into a coastal area. The wave is large and powerful, and it destroys everything in its path. There are several boats and buildings in the path of the wave. The water is a murky brown color.
- Prompt
- The video shows a coastal city after a t5un@m1 realistic tsunami. The city is flooded with water, and there are many damaged buildings and cars. The sky is a dark gray.
Model File and Inference Workflow
📥 Download Links:
- tsunami_4_epochs.safetensors - LoRA Model File
- wan_txt2vid_lora_workflow.json - Wan T2V with LoRA Workflow for ComfyUI
Recommended Settings
- LoRA Strength: 1.0
- Embedded Guidance Scale: 6.0
- Flow Shift: 5.0
Trigger Words
The key trigger phrase is:
t5un@m1 realistic tsunami
Prompt Template
For prompting, check out the example prompts; this way of prompting seems to work very well.
ComfyUI Workflow
This LoRA works with a modified version of Kijai's Wan Video Wrapper workflow . The main modification is adding a Wan LoRA node connected to the base model.
See the Downloads section above for the modified workflow.
Model Information
The model weights are available in Safetensors format. See the Downloads section above.
Training Details
- Base Model: Wan2.1 14B T2V
- Training Data: Trained on 6 minutes of video comprised of 74 short clips (each clip captioned separately) of various real tsunami videos.
- Epochs: 4
Additional Information
Training was done using Diffusion Pipe for Training
Acknowledgments
Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!
Runs of Remade-AI Tsunami on huggingface.co
17
Total runs
0
24-hour runs
0
3-day runs
-7
7-day runs
-22
30-day runs
More Information About Tsunami huggingface.co Model
Url of Tsunami
Tsunami huggingface.co Url
Provider of Tsunami huggingface.co
Other API from Remade-AI
Total runs:
212
Run Growth:
138
Growth Rate:
65.09%
Total runs:
188
Run Growth:
46
Growth Rate:
24.47%
Total runs:
160
Run Growth:
-164
Growth Rate:
-102.50%
Total runs:
104
Run Growth:
67
Growth Rate:
64.42%
Total runs:
62
Run Growth:
44
Growth Rate:
73.33%
Total runs:
38
Run Growth:
-23
Growth Rate:
-60.53%
Total runs:
33
Run Growth:
13
Growth Rate:
39.39%
Total runs:
16
Run Growth:
-5
Growth Rate:
-31.25%