Dogs LoRA for Wan2.1 14B T2V
Overview
This LoRA is trained on the Wan2.1 14B T2V model and allows you to generate awesome dog videos!
Features
- Trained on the Wan2.1 14B T2V base model
- Consistent results across different object types
- Simple prompt structure that's 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!
Model File and Inference Workflow
📥 Download Links:
- dogs_5_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: d48g dog video
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 3 minutes of video comprised of 38 short clips (each clip captioned separately) of dogs.
- Epochs: 10
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!