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⬡ Image Process

Pre-process an image bundle for the KSampler. Available as an all-in-one node or as 3 dedicated task-specific nodes.

All-in-One: ⬡ Image Process

Sets the processing mode, denoise, and optional parameters on an image bundle.

Inputs

Name Type Required Default Description
image_bundle UME_IMAGE Input image bundle from Image Loader
denoise FLOAT 0.75 How much the AI changes (1.0 = full redraw, 0.5 = keep half)
mode COMBO img2img Processing mode: img2img, inpaint, outpaint
auto_resize BOOLEAN OFF Resize image to match Generation Settings dimensions
mask_blur INT 10 Soften mask edges for inpaint/outpaint blending
padding_left INT 0 Outpaint pixels — left side
padding_top INT 0 Outpaint pixels — top
padding_right INT 0 Outpaint pixels — right side
padding_bottom INT 0 Outpaint pixels — bottom

Image Process (All-in-One)


⬡ Image Process (Img2Img)

Dedicated node for img2img workflows — the simplest Image Process node.

Inputs

Name Type Required Default Description
image_bundle UME_IMAGE Input image bundle
denoise FLOAT 0.75 Strength of AI transformation
auto_resize BOOLEAN OFF Resize to match Generation Settings

Image Process (Img2Img)


⬡ Image Process (Inpaint)

Dedicated node for inpainting — fills masked areas (white = modify).

Inputs

Name Type Required Default Description
image_bundle UME_IMAGE Input image bundle (with mask painted in Image Loader)
denoise FLOAT 0.75 How much the AI changes inside the mask
mask_blur INT 10 Soften mask edges for smooth blending
auto_resize BOOLEAN OFF Resize to match Generation Settings

Image Process (Inpaint)


⬡ Image Process (Outpaint)

Dedicated node for outpainting — specify the desired final image size instead of raw padding.

How it works

This node is passive — it tags the image bundle with target dimensions and alignment. The KSampler handles the actual execution: resize source → compute padding → apply mask → sample.

Inputs

Name Type Required Default Description
image_bundle UME_IMAGE Input image bundle
denoise FLOAT 0.75 How much the AI generates in the padded areas
target_width INT 1024 Desired final width of the outpainted image
target_height INT 1024 Desired final height of the outpainted image
horizontal_align COMBO (advanced) center Where to place source horizontally: left, center, right
vertical_align COMBO (advanced) center Where to place source vertically: top, center, bottom
mask_blur INT (advanced) 10 Soften the outpaint mask edges

Example

Source image: 1024×1024 → Target: 1344×1024 with center alignment:

  • Horizontal padding: 320px total → 160px left, 160px right
  • Vertical padding: 0px (already matches)
  • The AI generates content in the new areas, blending naturally

Image Process (Outpaint)

Outputs

All Image Process nodes output:

Name Type Description
image_bundle UME_IMAGE Configured image bundle ready for KSampler