SeedVR2Conditioning - ComfyUI Built-in Node Documentation

Builds positive and negative conditioning from a VAE latent for use with the SeedVR2 model. It validates the input latent and model structure, adds a mask channel to the latent, and returns both conditioning outputs.

Inputs

Parameter	Description	Data Type	Required	Range
`model`	The SeedVR2 model.	MODEL	Yes	-
`vae_conditioning`	The SeedVR2 VAE latent to build conditioning from (display name: latent).	LATENT	Yes	-

Note: The vae_conditioning latent must be a 5-D tensor in Comfy channel-first layout (B, C, T, H, W), where C is the expected SeedVR2 VAE channel count. The node raises an error if the latent is not 5-D, if the channel count does not match, or if the tensor appears to be in channel-last layout. The model input must have the expected SeedVR2 structure; the node resolves its inner diffusion model and reads its positive and negative conditioning. Internally, the node appends a constant mask channel to the latent and attaches the resulting condition to both the positive and negative conditioning outputs.

Outputs

Output Name	Description	Data Type
`positive`	The positive conditioning for sampling.	CONDITIONING
`negative`	The negative conditioning for sampling.	CONDITIONING

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