SATA_UtilityNode

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 entrada · 0 parámetros · 0 salidas

Prompt_Machine

No hay una descripción breve disponible para este nodo.

SATA UtilityNode · 0 entradas · 7 parámetros · 1 salida

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 entradas · 1 parámetro · 1 salida

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 entradas · 1 parámetro · 1 salida

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 salidas

Save_Machine

No hay una descripción breve disponible para este nodo.

SATA UtilityNode · 1 entrada · 2 parámetros · 1 salida

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 entrada · 4 parámetros · 1 salida