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The WanDancerVideo node prepares conditioning data and an empty latent tensor for video generation with the WanDancer model. It attaches optional starting images, masks, CLIP vision embeddings, and audio features to the positive and negative conditioning so they can guide the generated video.

Inputs

Notes on Parameter Behavior

  • start_image is optional. When provided, it is resized to width and height, encoded by the vae, and attached to both the positive and negative conditioning. If start_image has more frames than length, the extra frames are dropped. If it has fewer frames, the missing frames are filled with zero values.
  • mask only has an effect when start_image is also provided. White areas are kept, and black areas are generated.
  • clip_vision_output_ref only has an effect when clip_vision_output is also provided.
  • audio_encoder_output, when provided, attaches audio embeddings, frame rate, and injection scale to both the positive and negative conditioning.

Outputs

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