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!
Prompt
d48g dog video A beagle puppy is sitting in a basket on a bicycle, ears flapping in the wind as the bike moves forward. The dog looks excited, glancing side to side at the passing scenery. The road is lined with trees, their leaves bright green.
Prompt
d48g dog video A Shiba Inu wearing a superhero cape is standing proudly on a hill, looking off into the distance. The cape flutters slightly in the breeze as the dog stands with its chest puffed out. The sky is bright blue with a few clouds, making it look like the perfect day for a hero.
Prompt
d48g dog video A Boston Terrier wearing a tiny suit and bow tie is sitting at a small dinner table. A candle flickers on the table as the dog stares at a fancy plate of steak in front of it. The background is softly lit, creating the feeling of a romantic dinner for one.
Prompt
d48g dog video A Pomeranian dressed as a tiny chef is sitting on a kitchen counter, staring at a bowl of cookie dough. It wears a little white chef's hat and apron while its fluffy tail wags. A wooden spoon rests next to the bowl, as if the dog is about to start baking.

Model File and Inference Workflow

πŸ“₯ Download Links:


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!

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