Features

• Compatible with both T2V & I2V Wan2.2 Models
• Trained on close-up and full body
• Trained on different style of breast play: grabbing, lifting, covering, pinching ???????, and holding
• Trained on breast play with single breast play: right breast and left breast

Tips

• Try between 0.5 to 1 strength. All testing was at 1 strength on I2V with two LoRAs (speed + Breast Play).
• Reduce strength on the LoRA if the face changes.
• Consider using https://github.com/stduhpf/ComfyUI-WanMoeKSampler or adjusting High / Low steps 'correctly' https://www.reddit.com/r/StableDiffusion/comments/1mkv9c6/wan22_schedulers_steps_shift_and_noise/?tl=fr

My Wan2.2 Cover Videos

Workflow is T2I SDXL/Flux/Pony -> Image Upscaler -> Wan2.2 I2V -> Upscaler -> Add FPS

https://civitai.com/models/1916073 (text2img & img2vid). Credit DonutsDelivery & Daxamur

https://civitai.com/articles/14582/comfyui-workflow-sdxl-facedetailer-upscaler-and-batch-selection (text2img)

Training

Trained on Wan2.2 T2V base model. 100 high quality images and 50 videos that were handpicked and farmed raised to perfection using musubi-tuner. This LoRA works with both I2V and T2V.

Adjusted training variables so that it works better with other LoRAs. Training was fined-tuned over 10+ runs for each model to get the optimal loss accuracy. I used different tagging descriptions for the dataset to improve variability.