Ashmotv / water_morping_wan

• wan2.2

Wat3r B3nding (Awan Effect) LoRA for WAN 2.2

This LoRA is fine-tuned for the WAN 2.2 video model to generate a specific, dynamic liquid transformation effect, transitioning a subject from one state or appearance to an entirely new one via a massive surge of hyper-realistic water.

🌊 Model Summary

• Goal: To implement a stylized, fluid transition (the "Awan Effect") between two different subjects or scene compositions.
• Base Model: Designed to be used with the WAN 2.2 video models (e.g., WAN2.2-T2V-A14B or I2V variants).
• Unique Token (Trigger Word): wat3r b3nding

🚀 Usage

Recommended Prompt Structure

The LoRA works best with highly descriptive captions that specify both the starting subject/scene and the ending subject/scene, framing the transition with the trigger word.

Example Prompt

A subject with long red curly hair and visible arm and chest tattoos, seated and smiling in a retro diner booth, Wat3r B3nding, then rising into a fluid human silhouette of a different subject wearing a high-collared, form-fitting blue sequined qipao-style dress with cutouts, surrounded by a swirling flock of black and white magpies. Dynamic, flowing, and elemental.

🎬 Video Examples

Example 1

Example 2

Example 3

Example 4

Example 5

Example 6

Example 7

Example 8

Example 9

Example 10

Example 11

Example 12

🛠️ Training Details

These settings were optimized for a small training dataset (3 videos/subjects) to prevent overfitting to the subjects and focus solely on the water-bending effect.