Wan-I2V-LoRA-Kiss

Prompt

A woman in a shimmering red dress and dangling earrings stands beside a man in a dark blue shirt with a bear logo. She glances at him, their eyes lock, and they share a tender kiss.

Prompt

A man in a rolled-sleeve blue shirt and a woman in a white dress with a diamond necklace step onto a balcony. Holding hands, they gaze into each other’s eyes and share a romantic kiss.

Prompt

The woman is in a black tactical suit and the man in scratched armor stand together. She steps closer, and he sets his hammer down, and and they share a passionate kiss under the twilight sky.

Trainig details:

I tried a method where I first trained the LoRA on images only and then after a certain number of steps continued training only on videos.

• LR: 1e-4
• Optimizer: adamw_optimi
• Max train epochs: 5
• Steps: 30
• Dataset: 81 vids in total (Used 6)
• rank: 32
• batch size: 1
• gradient accumulation steps: 1

For training I used the Musubi-Tuner repo.

Inference:

It seems, the model likes long descriptive prompts. Look at the attached videos for prompt examples. Based on my tests if you use short prompts, the lora effect is weak.

Strength: 0.9-1.0