Inflate 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 inflate any object in an image. The effect works on a wide variety of objects, from animals to vehicles to people!

Features

• Transform any image into a video of it being inflated
• 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 large, bald man rides a gray donkey, then infl4t3 inflates it, both the man and the donkey expanding into giant, inflated figures against the desert landscape.

Prompt

The stylish woman in a white pantsuit smiles, then infl4t3 inflates it, her form expanding, and her suit balloons around her in a chic, air-filled design.

Prompt

The young boy riding a bicycle down the dirt road is surprised, then infl4t3 inflates it, his body and bike inflating together like a whimsical, cartoonish balloon.

Prompt

The red apple sits on a light gray surface, then infl4t3 inflates it, its skin becoming taut and glossy as it transforms into a perfect, inflated sphere.

Model File and Inference Workflow

📥 Download Links:

• inflate_20_epochs.safetensors - LoRA Model File
• wan_img2vid_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: infl4t3 inflates it

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 I2V 480p
• Training Data: Trained on 30 seconds of video comprised of 9 short clips (each clip captioned separately) of things being inflated
• Epochs: 20

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!