Wan Front View Doggy Style (i2v)
This model generates image-to-video content depicting doggy style scenes with the woman facing the camera. It focuses on realistic faces and intense action, using the trigger word "Pl0wView" for prompt generation. The model was trained using diffusion-pipe on a 480p i2v 14B model.
This catalog entry is available for compatibility research, but it does not have a validated generator mapping yet.
Checkpoints define the core visual model. Pick one that explicitly supports your chosen image, editing, or video mode.
LoRAs refine style, subjects, poses, or motion. Match their base model to the checkpoint rather than relying on a similar name.
Capabilities and broker mappings are validated again on the server, so stale or incompatible client selections cannot be submitted.
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