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TT Latent Factory TT_LatentFactoryNode

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

Creates a latent tensor and noise for use in sampling pipelines with support for FLUX and SDXL architectures.

Inputs

Parameter Type Required Description
seed INT Yes Seed for latent tensor generation
noise_seed INT Yes Seed for noise generation (increments after each run)
aspect_ratio COMBO Yes Aspect ratio of the latent (1:1, 4:3, 3:2, 16:9, 21:9)
megapixels COMBO Yes Target resolution in megapixels
orientation COMBO Yes Landscape or portrait orientation
model_type COMBO Yes Target model architecture (FLUX1.D, FLUX2.D, SDXL)
batch_size INT No Number of latents in batch (1–64, default: 1)
clip_multiplier COMBO No Multiplier for target CLIP resolution (1x, 2x, 4x, default: 1x)

Outputs

Parameter Type Description
LATENT LATENT Generated latent tensor
RND_NOISE NOISE Noise for the sampler
SEED INT Passthrough of latent seed
NOISE_SEED INT Passthrough of noise seed
MEGAPIXELS STRING Passthrough of selected megapixels value
WIDTH INT Calculated latent width in pixels
HEIGHT INT Calculated latent height in pixels
TARGET_WIDTH INT CLIP target width (WIDTH × clip_multiplier)
TARGET_HEIGHT INT CLIP target height (HEIGHT × clip_multiplier)

Usage

Generates a ready-to-use latent and noise pair with reproducible results via independent seed and noise_seed controls. Dimensions are automatically calculated from the selected aspect ratio, megapixels, and model architecture. Connect LATENT and RND_NOISE directly to a sampler, and pass TARGET_WIDTH / TARGET_HEIGHT to a CLIP text encoder for conditioning.


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