Remade-AI/Cartoon_Jaw_Drop

Cartoon Jaw Drop LoRA for Wan2.1 14B I2V 480p

Overview

This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to apply the Cartoon Jaw Drop effect to images!

Features

• 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 shows Pluto the dog, wearing a red collar, who is smiling wide, then his mouth transforms into a dr0p_j88 comical jaw drop, extending down in a long, rectangular shape, and revealing his tongue and teeth.

Prompt

The video shows a man with a neutral expression. Suddenly his jaw extremely widens to create a dr0p_j88 comical jaw drop.

Prompt

The video shows the man with a subtle smile, then suddenly his mouth drops open wide in a dr0p_j88 comical jaw drop, showing his teeth and tongue.

Model File and Inference Workflow

📥 Download Links:

• cartoon_jaw_drop_50_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: dr0p_j88 comical jaw drop

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 50 seconds of video comprised of 12 short clips (each clip captioned separately) of cartoon jaw drops.
• Epochs: 5

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!