WanSCAILToVideo - ComfyUI Built-in Node Documentation

The WanSCAILToVideo node prepares conditioning and an empty latent space for video generation. It processes optional inputs like reference images, pose videos, and CLIP vision outputs, embedding them into the positive and negative conditioning for a video model. The node outputs the modified conditioning and a blank latent tensor of the specified video dimensions.

Inputs

Parameter	Description	Data Type	Required	Range
`positive`	The positive conditioning input.	CONDITIONING	Yes	-
`negative`	The negative conditioning input.	CONDITIONING	Yes	-
`vae`	The VAE model used for encoding images and video frames.	VAE	Yes	-
`width`	The width of the output video in pixels (default: 512). Must be divisible by 8.	INT	Yes	32 to MAX_RESOLUTION
`height`	The height of the output video in pixels (default: 896). Must be divisible by 8.	INT	Yes	32 to MAX_RESOLUTION
`length`	The number of frames in the video (default: 81). Must be divisible by 4.	INT	Yes	1 to MAX_RESOLUTION
`batch_size`	The number of videos to generate in a batch (default: 1).	INT	Yes	1 to 4096
`clip_vision_output`	Optional CLIP vision output for conditioning.	CLIP_VISION_OUTPUT	No	-
`reference_image`	An optional reference image for conditioning.	IMAGE	No	-
`pose_video`	Video used for pose conditioning. Will be downscaled to half the resolution of the main video.	IMAGE	No	-
`pose_strength`	Strength of the pose latent (default: 1.0).	FLOAT	Yes	0.0 to 10.0
`pose_start`	Start step to use pose conditioning (default: 0.0).	FLOAT	Yes	0.0 to 1.0
`pose_end`	End step to use pose conditioning (default: 1.0).	FLOAT	Yes	0.0 to 1.0

Note: The pose_video input is processed only for the first length frames. The reference_image is processed only for the first image in the batch. When reference_image is provided, a zero-filled latent of the same size is used for the negative conditioning. When clip_vision_output is provided, it is applied to both positive and negative conditioning. The pose_video is downscaled to half the resolution of the main video before encoding.

Outputs

Output Name	Description	Data Type
`positive`	The modified positive conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents.	CONDITIONING
`negative`	The modified negative conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents.	CONDITIONING
`latent`	An empty latent tensor of shape `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]`.	LATENT

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