tenser-tensor-ComfyUI-TenserTensor/web/docs/TT_LatentFactoryByModelNode.md

TT Latent Factory (By Model) TT_LatentFactoryByModelNode

This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.

Creates an empty latent tensor with dimensions and channel count automatically derived from the connected model. Supports any model architecture without manual configuration.

Inputs

Parameter	Type	Required	Description
model	MODEL	Yes	Diffusion model — latent format is read from it automatically
seed	INT	Yes	Generation seed
noise_seed	INT	Yes	Noise seed, randomized after each generation
aspect_ratio	COMBO	Yes	Aspect ratio of the output image
megapixels	COMBO	Yes	Target resolution in megapixels
orientation	COMBO	Yes	Landscape or portrait
batch_size	INT	No	Number of latents per batch, default 1 (advanced)
clip_multiplier	COMBO	No	Multiplier for CLIP target dimensions, default 1x (advanced)

Outputs

Parameter	Type	Description
MODEL	MODEL	Passthrough model for chaining nodes
LATENT	LATENT	Empty latent tensor
RND_NOISE	NOISE	Noise generator configured with noise seed
SEED	INT	Generation seed
NOISE_SEED	INT	Noise seed
MEGAPIXELS	STRING	Selected megapixel value
WIDTH	INT	Calculated image width in pixels
HEIGHT	INT	Calculated image height in pixels
TARGET_WIDTH	INT	CLIP target width (width × clip_multiplier)
TARGET_HEIGHT	INT	CLIP target height (height × clip_multiplier)

Usage

Connect any diffusion model — the node reads latent channel count and spatial downscale ratio directly from it. Use MODEL passthrough output to continue the node chain without an extra connection.

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