Puppy Effect LoRA for Wan2.1 14B I2V 480p

Overview

This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to make any person/object in an image get surrounded by puppies!

Features

• Transform any image into a video of the subject surrounded by puppies!
• Trained on the Wan2.1 14B 480p I2V 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

The video begins with a close-up portrait of a man wearing a suit. The background changes and then the pu11y puppy effect begins. The man is now surrounded by many puppies. He pets the puppies.

Prompt

The video begins with a relaxed shot of a man smiling, sitting on a modern gray armchair. The pu11y puppy effect happens, and the man is surrounded by golden retriever puppies. He interacts with the puppies on his phone.

Prompt

The video opens with a studio portrait of a man smiling in a white t-shirt. The pu11y puppy effect then begins, as puppies begin to gather and surround him. He is now holding a puppy in his arms.

Model File and Inference Workflow

📥 Download Links:

• puppy_50_epochs.safetensors - LoRA Model File
• wan_I2V_LoRA_workflow.json - Wan I2V with LoRA Workflow for ComfyUI

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Recommended Settings

• LoRA Strength: 1.0
• Embedded Guidance Scale: 6.0
• Flow Shift: 5.0

Trigger Words

The key trigger phrase is: pu11y puppy effect

Prompt Template

For best results, try following the structure of the prompt examples above. These worked well for me.

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 I2V 480p
• Training Data: Trained on 35 seconds of video comprised of 7 short clips (each clip captioned separately) of people getting surrounded by puppies!
• Epochs: 50

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!