Files
ausboss-ComfyUI-AusBoss/js/docs/AUSBOSS_NODES_ImageSize.md
T
ausboss 3f715a4af8 Ship the crush-list build-out: 7 new node files, replace button, video and LoRA polish
- New nodes: Image Resize plus the Utility group (Text, Integer, Float,
  Show Text, Math Expression, Select Every Nth, Split Batch, Merge
  Batches, Free Memory) - the dependency-free gaps that let shared
  workflows drop heavy packs.
- Replace with AusBoss nodes (prototype): preview-then-confirm graph
  rewrite swapping known third-party nodes for pack equivalents, with a
  tested translation map, per-node opt-out, and refuse-with-reason for
  nodes the pack cannot stand in for.
- Load Video: single-frame FRAME picker, an honest "what will load"
  label from the probed source rate, drop-a-video-to-restore. Save
  Video: format-aware widgets and a file_path output. Stitch Inpaint
  gained a blend_mask output, Select Frame negative from-the-end
  indexing, Image Size a batch count - all appended, saved workflows
  load unchanged.
- LoRA Loader: drag-to-reorder rows, hover thumbnails on rows, file
  size and date in the info card.
- Appearance: flagship scheme deepened to slate-teal; the retired
  bright-teal pair upgrades automatically via LEGACY_SCHEME_PAIRS.
  Optional queue-completion chime, off by default.
- Image Resize invariant: pixels are only invented on an explicit
  width+height pad request - scale-derived modes resolve divisible_by
  snaps with a sub-half-step resize, never bars.
- Docs refreshed for six stale pages, stale text and metadata fixed
  across the pack, the panel-height rule codified in AGENTS.md and the
  brand skill, and ausboss_node_tour.json added - a model-free example
  exercising 17 node types in one graph.

Validated: scripts/validate_nodes.py (24 files), 300 JS tests, all
Python suites under the ComfyUI embedded interpreter.
2026-08-27 13:30:35 -05:00

1009 B

Image Size

Reads an image's dimensions and hands them out as INTs: width, height, longest_edge, shortest_edge, and count.

Wire them wherever a workflow wants numbers that must match the actual image — an Empty Latent sized to the source, a resize keyed off the longest edge, aspect-aware math with the shortest. Because the values come off the wire, they can never drift out of date the way retyped numbers do.

Outputs

  • width / height: The frame size in pixels.
  • longest_edge: max(width, height) — the number resize-to-fit logic keys on.
  • shortest_edge: min(width, height) — the number crop-to-fill and many preprocessing pipelines key on.
  • count: The number of images in the batch — 1 for a single image, the frame count for video frames.

Notes

A batch reports the size its frames share (IMAGE batches are uniform by construction). The node does no work worth caching or canceling — it reads its numbers off the tensor's shape.