Skip to content

Make images and video without living inside the AI toolchain.

A local-first workspace for turning ComfyUI workflows into tools you can use, understand, and reuse.

Product

Download Studio Resources Workflow Doctor Agent Access

Learn

Docs FAQ Updates

Connect

Feedback Privacy Terms

© 2026 Tea Time Labs

Local AI creation, organized.

Have a ComfyUI workflow? Get a readable Workflow Doc in your browser.Make a workflow readable.Try it now ↗

Download StudioLanguage

SATA_UtilityNode | ST Studio

Resources/SATA_UtilityNode

Node packListedExternal

SATA_UtilityNode

This a ComfyUI node for Utility

This a ComfyUI node for Utility

Sourcegithub.com/SatadalAI/SATA_UtilityNode

Maintainer@SatadalAICgrade

Package profile

Status: Listed
Publisher: @SatadalAI
Source: GitHub
Stars: 2

README

This a ComfyUI node for Utility

Nodes in this pack

8 nodes

Latent_Machine

Sources

1 source

GitHubSource

github.com/SatadalAI/SATA_UtilityNode

Verified Aug 6

Source excerpts

1 excerpt

NoteJul 16github.com/SatadalAI/SATA_UtilityNode

Source context: Repo SatadalAI/SATA_UtilityNode

Latent_Machine

- Advanced Noise Generation: Initialize latents with specific noise patterns: - Gaussian (White): Standard noise, good for sharp details. - Blue (High-Frequency): Enhances detail and textures. - Pink (1/f) / Brown (1/f²): Photorealism, nature, anime backgrounds. - Perlin / Plasma: Fluid landscapes, sci-fi, abstract terrains. - High-Contrast Offset Noise: Toggle highcontrast to inject a 0.1 mean shift to the starting noise, allowing the model to generate pure blacks (pitch-black nights) and blown-out whites (snowstorms). - Auto 16-Channel Detection: Automatically provisions the correct latent depth for modern architectures (Flux, SD3, Lumina, Z-Image). - Reproducibility: Full seed support for consistent noise generation.

SATA UtilityNode · 2 outputs

Preview_Machine

Preview_Machine

- Privacy-Focused Preview: Image preview node that hides content by default. - Hover to Reveal / Auto-Hide: Simply hover over the node to temporarily reveal the image. - Global Hide Mode: Optional setting to hide ALL preview nodes in the workflow (Settings → SATA Utility: Global Hide Previews).

SATA UtilityNode · 1 input · 0 parameters · 0 outputs

Prompt_Machine

Prompt_Machine

Compact description unavailable for this node.

SATA UtilityNode · 0 inputs · 7 parameters · 1 output

Prompt_Style_Machine

Prompt_Style_Machine

NOTE: name is a free STRING (not a static dropdown) to avoid 'Value not in list' validation errors. The frontend helper will still provide dropdown-like selection and write the chosen name into this STRING.

SATA UtilityNode · 0 inputs · 1 parameter · 1 output

PromptAutocomplete

PromptAutocomplete

- Subsequence Fuzzy Matching: Ultra-fast, highly optimized fuzzy search with rank-based scoring. - Autocompletion: Type # (configurable) to trigger a popup with suggestions from CSV/JSON files in the prompt folder. Supports strict 100-item render limits to prevent UI lag. - Random Selection: Select 🎲 Random to insert a random item from a category. - Global Mode: Optional setting to enable autocompletion on ALL text widgets in ComfyUI.

SATA UtilityNode · 0 inputs · 1 parameter · 1 output

Resolution_Machine

Resolution_Machine

- Intelligent Megapixel Scaling: Uses a target Megapixel slider to automatically calculate the exact width/height required to hit the target while perfectly preserving your chosen aspect ratio. Rounds to the nearest multiple of 8. - Model-aware Resolution Selection: Choose from a list of recommended resolutions for each supported model (SD1.5, SDXL, Flux.1 & Flux.2, SD3 & SD3.5, Ideogram 4, Lumina, Qwen-Image, Z-Image Turbo, Hunyuan-DiT, and Video Models like Wan2.2, HunyuanVideo, Mochi-1, LTX-Video).

SATA UtilityNode · 2 outputs

Save_Machine

Save_Machine

Compact description unavailable for this node.

SATA UtilityNode · 1 input · 2 parameters · 1 output

Upscale_Machine

Upscale_Machine

- Model-based Upscaling: Uses custom or pre-trained models from the upscalemodels folder. - Frequency-Split SR: Separates image into base colors (low frequencies) and sharp edges (high frequencies). The neural network only upscales edges, while a bicubic algorithm scales colors, eliminating "plastic/waxy" looks and edge halos. - Blue Noise Injection: Adds high-frequency micro-textures (injectnoiseforrealism) during upscaling. Automatically activates when using a chained model to fix the "smoothness" problem in low-step/distilled models like SDXL Turbo. - Aspect Ratio Preserving Rescale: Output size is always original size × rescale factor. - CPU-based Rescaling: Efficient resizing using OpenCV. - Rounding Modulus: Ensures output dimensions seamlessly align with UNet architectural constraints.

SATA UtilityNode · 1 input · 4 parameters · 1 output