This is a pair of LoRAs trained on the WAN 2.2 I2V 14B low and high noise models using 32 81-frame clips. Like my other insertion LoRAs, these models are trained entirely on clips where the man is not initially in frame.
Trigger Phrase:
A man appears and she sucks his penisI recommend using a CFG of ~3.5 for high-noise sampling and 5-7 for low noise sampling. The examples in the showcase were generated using a constant CFG of 3.5 and 7 for the high and low noise sampling steps, respectively, 24 total sampling steps, a split step of 3, and a shift of 5 for both samplers..
To take advantage of this model's full potential I recommend not using LightX2V LoRAs because they appear to diminish the quality of the results.
CivitAI doesn't allow the attachment of two safetensors files within a single model version, so I attached both model LoRAs within a single .zip file.
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