Files
tenser-tensor-ComfyUI-Tense…/NODES.md
T

7.5 KiB

Nodes List

Workflow

TT FLUX Workflow Settings

Node for configuring Flux workflow generation parameters.

TT FLUX Workflow Settings (Advanced)

Advanced node for configuring Flux workflow generation parameters with separate CLIP-L and T5XXL prompts.

TT SDXL Workflow Settings

Node for configuring SDXL workflow generation parameters.

TT SDXL Workflow Settings (Advanced)

Advanced SDXL workflow configuration with separate CLIP-L/G prompts and aesthetic scores.

Latent

TT Latent Factory

Generate empty latent images with precise dimension control based on aspect ratio and megapixel count.

Automatically calculates correct dimensions for FLUX and SDXL models, plus separate CLIP conditioning sizes.

Loaders

TT SDXL Models Loader

All-in-one model loader for SDXL workflows with checkpoint merging support.

TT SDXL Models Loader (Advanced)

Extended all-in-one model loader for SDXL with checkpoint merging and LoRA support.

TT FLUX Models Loader

All-in-one model loader for Flux workflows.

TT FLUX Models Loader (Advanced)

Extended all-in-one model loader for Flux with sampling patches, LoRA support, and advanced settings.

Text Encoder

TT CLIP Text Encode FLUX

Flux text encoder with separate CLIP-L and T5-XXL prompt inputs.

TT CLIP Text Encode FLUX (Context)

Context-based Flux text encoder that extracts prompts from workflow config.

TT CLIP Text Encode SDXL

SDXL text encoder with separate CLIP-L and CLIP-G prompt inputs and conditioning parameters.

TT CLIP Text Encode SDXL (Context)

Context-based SDXL text encoder that extracts prompts and parameters from workflow config.

Samplers

TT KSampler

Standard KSampler for generating images. Accepts all common sampling parameters and returns a denoised latent ready for VAE decoding.

TT KSampler (Advanced)

Advanced sampler for multi-stage workflows and fine control. Use start_step/last_step for partial denoising, add_noise to control noise injection, and denoise for strength control. Useful for img2img, refinement passes, and complex sampling workflows.

TT KSampler (Context)

Simplified sampler for context-based workflows. Automatically extracts all sampling parameters from the context object:

  • Model, positive/negative conditioning, and latent from context
  • Seed, steps, cfg, sampler_name, and scheduler from workflow_config

Requires context to contain: model, latent, and workflow_config. Raises error if any required component is missing.

TT KSampler (Two Stages)

Automated two-stage sampling workflow. First performs a draft pass with partial denoising, then refines the result with a second pass. Each stage can use different samplers, schedulers, and step counts. Useful for quick previews followed by quality refinement, or combining different sampling strategies.

VAE

TT VAE Decode (Context)

Simplified decoder for context-based workflows. Automatically extracts VAE and latent from context, decodes to image space, and stores the result back in context. Handles nested tensors and reshapes output to standard format. Raises error if VAE or latent is missing from context.

TT VAE Decode (Tiled)

Decode large latent images by processing them in smaller tiles. Useful for generating high-resolution images that would otherwise exceed VRAM capacity. The overlap parameter helps reduce visible seams between tiles. Enable circular padding for seamless texture generation.

TT Vae Encode (Context)

Encodes pixel-space images into latent representations for diffusion processing. Extracts VAE and image from context, performs encoding, and stores the result back in context.

Requires context to contain both vae and image components. Raises error if either is missing.

TT Vae Encode (Tiled)

Processes large images in smaller tiles to reduce memory requirements during VAE encoding. Useful for encoding high-resolution images that would otherwise cause out-of-memory errors.

Tile size should be set based on available VRAM (smaller tiles = less memory). Overlap prevents visible seams at tile boundaries - higher overlap produces smoother results but increases processing time. Recommended overlap is 10-15% of tile size.

Postproduction

TT Apply LUT

Apply professional color grading using LUT files. Place your .cube LUT files in the designated LUT directory. Adjust strength to blend between original and graded image (1.0 = full LUT, 0.0 = original). Choose colorspace based on your LUT file's intended working space.

TT Add Film Grain

Add realistic film grain texture to images for a cinematic aesthetic. Adjust scale for grain size, strength for intensity, and saturation for color. The toe parameter controls the distribution curve of grain in shadows/highlights. Use different seeds for varied grain patterns.

TT Quick Image Upscaler

Quick and simple AI upscaling node using tiled processing for memory efficiency. Select an upscale model from your upscale_models directory. Adjust tile size based on VRAM - smaller tiles use less memory. Increase overlap to reduce visible seams between tiles.

TT Image Enhancer

All-in-one image enhancement node for adjusting brightness, contrast, colors, and applying effects. Use default values ( brightness: 0.0, contrast/gamma/saturation: 1.0, posterize: 8, solarize: 1.0) for no effect. Adjust individual parameters as needed - effects are applied sequentially.

TT Postproduction

Complete post-production pipeline in one node. Toggle each effect on/off with boolean switches. Processing order: LUT → Film Grain → Upscale. Disable any effect by setting its toggle to False. All effects are optional and can be used independently or combined.

TT Postproduction (Advanced)

Complete post-production pipeline with full enhancement controls. Processing order: Image Enhancement → LUT → Film Grain → Upscale. Toggle each effect on/off independently. Image enhancement includes brightness, contrast, gamma, hue, saturation, sharpness, posterize, and solarize adjustments. All effects are optional.

Image

TT Image Preview / Save

Dual-purpose node that can preview images in the UI and/or save them to disk with extensive formatting options.

Context

TT Base Context

Use this node to package your core workflow components into a single context object that can be passed through your workflow and modified by other context nodes.

TT Context

Use this node to create a new context from scratch or modify specific parameters in an existing context. All parameters are optional - provide only what you need to set or change.

TT FLUX Large Context

Use this node for Flux workflows when you need fine-grained control over CLIP-L and T5-XXL prompts separately, along with Flux-specific guidance settings.

TT SDXL Large Context

Use this node for SDXL workflows when you need separate control over CLIP-L and CLIP-G prompts, aesthetic scores, and target dimensions for conditioning.

TT Even Larger Context

Use this node when you need comprehensive control over all workflow parameters including ControlNet and masking. Supports both SDXL (CLIP-L/G) and Flux (T5-XXL) conditioning simultaneously.

TT Context Set Image

Stores pixel-space image in context for use by downstream nodes. Overwrites existing image if present.

TT Context Set Latent

Stores latent representation in context for use by downstream nodes. Overwrites existing latent if present.

TT Context Passthrough

Use this node to pass context through your workflow while optionally modifying specific parameters without changing the rest of the context.