WAN t2v and i2v are identical. Just uploaded twice for on-site generation to work.
This LoRA is trained on conversational language. You can describe your scene in plain English or Chinese, and it should adhere to your prompt well. Below are some inspirations for you if you need it.
Positions:
On her back
Kneeling
Perspectives:
POV
Enhancement phrases:
She bounces her body up and down
She bounces her breasts up and down with her hands
All showcase videos have the workflow metadata embedded. You can download the video and drag it into ComfyUI to replicate them with their prompts, seeds, and settings.
Description
Trained on a mix of new datasets and generated images from the previous generation, with some editing/modifying to prevent the model from training faces or other unwanted things. 5e-5 for 50 epochs, then increased the tensors in blocks by 20% with a python script to enhance movement (not a science, just tried a bunch of combinations of blocks and this worked out the best).
Details
Files
BetterTitfuck_v4_July2025.safetensors
Mirrors
BetterTitfuck_v4_July2025.safetensors
BetterTitfuck_v4_July2025.safetensors
BetterTitfuck_v4_July2025.safetensors
BetterTitfuck_v4_July2025.safetensors
BetterTitfuck_v4_July2025.safetensors
BetterTitfuck_v4_July2025.safetensors
BetterTitfuck_v4_July2025.safetensors
BetterTitfuck_v4_July2025.safetensors
BetterTitfuck_v4_July2025.safetensors
BetterTitfuck_v4_July2025.safetensors
