SV3D_Conditioning - ComfyUI Built-in Node Documentation

Complete documentation for the SV3D_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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The SV3D_Conditioning node prepares conditioning data for 3D video generation using the SV3D model. It takes an initial image and processes it through CLIP vision and VAE encoders to create positive and negative conditioning, along with a latent representation. The node generates camera elevation and azimuth sequences for multi-frame video generation based on the specified number of video frames.

Inputs

Parameter	Data Type	Required	Range	Description
clip_vision	CLIP_VISION	Yes	-	The CLIP vision model used for encoding the input image
init_image	IMAGE	Yes	-	The initial image that serves as the starting point for 3D video generation
vae	VAE	Yes	-	The VAE model used for encoding the image into latent space
width	INT	No	16 to MAX_RESOLUTION	The output width for the generated video frames (default: 576, must be divisible by 8)
height	INT	No	16 to MAX_RESOLUTION	The output height for the generated video frames (default: 576, must be divisible by 8)
video_frames	INT	No	1 to 4096	The number of frames to generate for the video sequence (default: 21)
elevation	FLOAT	No	-90.0 to 90.0	The camera elevation angle in degrees for the 3D view (default: 0.0)

Outputs

Output Name	Data Type	Description
positive	CONDITIONING	The positive conditioning data containing image embeddings and camera parameters for generation
negative	CONDITIONING	The negative conditioning data with zeroed embeddings for contrastive generation
latent	LATENT	An empty latent tensor with dimensions matching the specified video frames and resolution