A full bukkake in just 5 seconds.

Trained on 24 81-frames square videos, all of which were structured this way:
initial state (5 frames) => cumshots (4x16 frames) => end state (12 frames).

Just start your prompt with the keyword "sh00tz", and wan will know what to do.

On the high-noise model: works best without any lightx2v lora and cfg at 3.5 (tested with 4/8 steps): semen looks more liquid and natural.

On the low-noise model: add dr34ml4y LoRa (for example, at 0.7 strength) for better realistic outcomes.

Consistency is relatively good most of times, so you should see a coherent progression between cuts.

Wan may draw a weird background floor. You can add "within the same background" in your prompt and/or "background changes" in the negative prompt to mitigate that effect, or just describe the location corresponding to your source image.

Since the training data focused mostly on the face, use a vertical format (like 9:16 or even 1:2) to include more of the woman's body within the frame.