TT Vae Encode (Tiled) is a ComfyUI node in the TenserTensor/VAE category from Tenser Tensor. Inputs: vae, image, tile_width, tile_height. Outputs: LATENT. Run…

A collection of custom nodes for ComfyUI that streamline common workflows. — All-in-one model loaders: checkpoint, LoRA, CLIP, VAE — GGUF quantized model support: FLUX, FLUX2, SDXL, SD3.5 — Workflow settings nodes for FLUX, SDXL, and SD3.5 — Latent factory with aspect ratio, megapixel, and automatic model format detection — Context nodes for passing pipeline state between nodes — CLIP text encoders for FLUX, SDXL, and SD3.5 — KSampler variants with guided sampling and step-by-step latent preview — VAE encoders and decoders: tiled and context-based — Image tools: load, resize, upscale, preview, save, ControlNet reference — Post-production: brightness, contrast, LUT color grading, film grain, upscaler

Tenser Tensor

image

tile_width

Name	Type	Default	Description
vae	VAE		—
image	IMAGE		—
tile_width	INT	51264–4096	—
tile_height	INT	51264–4096	—
overlap	INT	640–4096	—

TT Vae Encode (Tiled)

Inputs (5)

Outputs (1)