Trellis2UpsampleStage - ComfyUI Built-in Node Documentation - ComfyUI

This node upscales a 512-resolution shape latent into high-resolution sparse coordinates and prepares the second shape-stage sampling pass at the target resolution. It attaches per-stage metadata to the conditioning so the model can consume it during generation.

Inputs

Parameter	Description	Data Type	Required	Range
`positive`	The positive conditioning to which the upsampling-stage shape metadata is attached.	CONDITIONING	Yes
`negative`	The negative conditioning to which the upsampling-stage shape metadata is attached.	CONDITIONING	Yes
`shape_latent`	The 512-resolution shape latent output from the first shape-stage KSampler.	LATENT	Yes
`vae`	The Trellis2 VAE used to decode the shape latent into high-resolution sparse coordinates.	VAE	Yes
`target_resolution`	Voxel resolution of the upsampled shape. Higher = more detail, more VRAM. Default: 1024.	INT	Yes	1024 - 2048 (step 128)

Outputs

Output Name	Description	Data Type
`positive`	Positive conditioning with the upsampling-stage shape metadata attached.	CONDITIONING
`negative`	Negative conditioning with the upsampling-stage shape metadata attached.	CONDITIONING
`latent`	Zero-filled latent prepared for the second shape-stage sampling pass at the target resolution, carrying the upsampled coordinates, per-sample coordinate counts, and coordinate resolution metadata.	LATENT

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