Ultimate SD Upscale
Splits large images into overlapping tiles, runs low-denoise KSampler detail passes on each tile, and blends seams for 4K–8K output. Package: ssitu/ComfyUI_UltimateSDUpscale.
Updated Oct 17, 2026 · 1 min read
- Node / Pack
- Ultimate SD Upscale
- Category
- custom-pack
- Inputs
- image, model, positive, negative, vae, upscale_by, tile_width, tile_height, seam_fix_mode
- Outputs
- IMAGE
- Source Pack
- ssitu/ComfyUI_UltimateSDUpscale
What Ultimate SD Upscale does in a ComfyUI graph
Splits large images into overlapping tiles, runs low-denoise KSampler detail passes on each tile, and blends seams for 4K–8K output.
On the canvas, this node accepts `image, model, positive, negative, vae, upscale_by, tile_width, tile_height, seam_fix_mode` and emits `IMAGE`. Every pin is color-coded by data type so you cannot accidentally wire a pixel `IMAGE` tensor into a `LATENT` pin without an intermediate encode step.
Installation and missing-node recovery on Windows
Ultimate SD Upscale is provided by `ssitu/ComfyUI_UltimateSDUpscale`. Open ComfyUI-Manager, click **Install Custom Nodes** (or **Install Missing Custom Nodes** if you loaded a workflow with red boxes), and restart the server.
Download the full Windows desktop or portable package at /download to get started with a clean Python 3.12 environment.
FAQs
How do I fix "Ultimate SD Upscale" showing up as a red box in ComfyUI?
Open ComfyUI-Manager, click **Install Missing Custom Nodes**, install `ssitu/ComfyUI_UltimateSDUpscale`, and restart ComfyUI.
What are the main inputs and outputs of Ultimate SD Upscale?
Inputs: image, model, positive, negative, vae, upscale_by, tile_width, tile_height, seam_fix_mode. Outputs: IMAGE.
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