TopGolf Girl (WAN 2.2 T2V) is a motion-tuned LoRA trained on 700+ short clips capturing the natural movement, form, and expression of a blonde woman playing golf across various lighting conditions and outfits.
The model enhances realism, body control, and camera alignment within the WAN 2.2 T2V pipeline — producing stable, lifelike swing sequences with minimal jitter or motion collapse.
⚡ Support Future Versions (20–25 Epoch Target)
I’m continuing to train additional versions of this model for improved fidelity and motion consistency. Run or fine-tune it yourself on RunPod and help fund future releases:
https://runpod.io?ref=c3tt3sd8
💼 Want to Collaborate?
I’m available for AI model development, training pipeline builds, and creative LoRA collaborations. Message me here: linkedin.com/in/christabb
Description
Initial release trained with dual-phase noise for combined realism + stability.
Introduces GOLFGIRL activation token for prompt control.
Tuned for motion continuity and natural body articulation in WAN 2.2 video output.
Best results with LoRA strength 0.65–0.8, Clip Skip 2.
Includes both HighNoise and LowNoise variants merged for balanced performance.
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Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.