Comfy Workflow Layout

ComfyUI workflow auto-layout

scripts/layout_workflow.py runs a layered (Sugiyama-style) DAG layout over the nodes in a workflow JSON: median layering (each node sits at the midpoint between its earliest and latest possible depth, so source and sink nodes spread across columns instead of piling up at the edges), a barycenter sweep within each layer to reduce edge crossings, and a group-cohesion post-pass that clusters members of the same authored group contiguously within each column. Group bounding boxes are re-fit around their final members. Pure stdlib, no deps. Visual goal is "the editor is readable again with comparable density to a hand-tuned layout" — link routing is left to ComfyUI.

In practice on Wan 2.2 workflows in this install, output bounding-box area ranges from −13% to +23% of a hand-arranged layout (typically within ±10%), with 0 node overlaps. Without median layering it would be 2× larger.

When to Use This Skill

Pipeline (default mode)

1. Detect group membership by which nodes' centers sit in each group's authored bounding box. Tie-break to the smallest group.
2. Absorb leaf singletons — ungrouped nodes whose neighbors are ≥2/3 in one group join that group's membership for layout purposes. Single-pass; central hub nodes (whose connections fan out across many groups) stay as singletons.
3. Median layering — each node's column index is the average of its longest-path-from-sources and longest-path-from-sinks depth. Source nodes whose only consumer is at depth 8 land near depth 7, not 0. Sink nodes whose only producer is at depth 1 land near 1.
4. Barycenter sweep within each layer to minimize edge crossings.
5. Group-cohesion clustering — within each layer, re-permute so nodes sharing a group sit contiguously. Cluster order within a layer follows each cluster's median barycenter index.
6. Vertically center each column around the layer band's midpoint so short columns float to center rather than top-align.
7. Recompute group bounding boxes to wrap the final positions (skip with --no-groups).

--strict-groups switches to a two-level mode where each group becomes its own bounded super-node region with a separate outer DAG between groups. Looser packing (typically +30-50% area) but stronger visual separation between groups; reach for it when the user prefers visible group containers over compactness.

When to reach for this

• User pulled a workflow from somewhere and the nodes overlap.
• A workflow grew organically and is now unreadable in the editor.
• After bulk-editing a graph (added a Phantom tail, swapped sampler versions, refactored loaders) and the layout no longer reflects flow.
• User says "auto-arrange", "lay out", "clean up positions", or references the script by name.

Skip this for ~5–8 node workflows — hand-arrange is faster and the result will be tidier than what a layered algorithm produces on a tiny graph.

Default invocation (safe A/B)

From the install root, run the script via the venv on the target file:

.venv/bin/python scripts/layout_workflow.py user/default/workflows/2026-05/<file>.json

This writes <file>-laidout.json next to the original. Open both in ComfyUI side-by-side (or load one, eyeball, then load the other) and confirm the laid-out version is actually better before committing to overwrite. ComfyUI picks up the new file on page reload — no service restart needed.

The script prints a one-line summary on completion (42 nodes (cohesion, 3 absorbed), 13 layers, 7 groups recomputed -> ...). Pass --quiet to suppress it. In --strict-groups mode the summary shape is different (42 nodes in 8 supers (7 group + 1 singleton (3 absorbed)), 5 outer layers, ...).

Tune the spacing

Defaults are --col-gap 40 (pixels between layers) and --row-gap 20 (pixels between nodes within a layer). If the output looks cramped, raise the gaps. If sparse, lower them.

.venv/bin/python scripts/layout_workflow.py --col-gap 60 --row-gap 30 \
  user/default/workflows/2026-05/<file>.json

Useful starting points: 30/15 for tight, 40/20 default, 60/30 for roomy, 80/40 for very large workflows where the user wants whitespace. In --strict-groups mode the inner gap uses these values; the outer between-groups gap is fixed at 60×80 (source constants SUPER_COL_GAP / SUPER_ROW_GAP).

Mode flags

.venv/bin/python scripts/layout_workflow.py --strict-groups <file>.json

Two-level group-aware layout: each group renders as its own bounded region in a separate outer DAG. Looser packing, stronger group separation. Use when the user wants visible group containers more than compactness.

.venv/bin/python scripts/layout_workflow.py --no-cohesion <file>.json

Skip the group-cohesion pass — group members may scatter across the layer based purely on barycenter. Useful when a workflow has groups that fight DAG topology (e.g. one logical "group" spans many depths).

.venv/bin/python scripts/layout_workflow.py --no-absorb <file>.json

Don't absorb ungrouped leaf nodes into adjacent groups. Useful when the user has deliberately placed nodes outside a group and wants the layout to honor that.

.venv/bin/python scripts/layout_workflow.py --no-groups <file>.json

Skip the group bounding-box recompute. Positions still shift, so the old bounding boxes will end up wrong — only useful for debugging.

Commit the result

After confirming the laid-out version looks good, two paths:

mv user/default/workflows/2026-05/<file>-laidout.json \
   user/default/workflows/2026-05/<file>.json

Or re-run with --in-place to overwrite directly (no A/B copy produced):

.venv/bin/python scripts/layout_workflow.py --in-place \
  user/default/workflows/2026-05/<file>.json

--in-place and -o / --output are mutually exclusive.

Per project CLAUDE.md, do not commit workflow JSONs unless asked — workflows under user/default/workflows/ are user data, intentionally untracked.

Batch a directory

Once the user confirms one workflow lays out cleanly, the rest in the same bucket usually follow. Batch with --in-place:

for f in user/default/workflows/<bucket>/2026-05/*.json; do
  case "$f" in *-laidout.json) continue ;; esac
  .venv/bin/python scripts/layout_workflow.py --in-place --verify "$f"
done

The case skips already-laid-out outputs left over from earlier A/B runs. --verify aborts on overlap, which is cheap and reasonable for batch jobs. Always run on one workflow first, eyeball it, then batch — unwinding 30 simultaneously-broken layouts is painful.

What gets preserved vs rewritten

Only positions move. Wiring, widget values, sizes, group identities, and colors all carry through unchanged. Group membership is detected from the original bounding boxes; the new bounding box is rewritten to wrap the same members in their final positions.

Pass --verify to assert no node overlaps in the output before writing. Cheap; reach for it when batching or when iterating on gap values.

Known limitations

1. Reroute nodes consume a full layer's column width even though they're tiny. Acceptable cost; don't try to special-case them.
2. Note placement is "above the nearest old neighbor" using original positions. If multiple Notes share a buddy they stack and may collide with the layer above. Hand-fix in the editor if it bothers you.
3. Cycles in the underlying node DAG abort the script with an error. A valid ComfyUI workflow shouldn't have any; if you hit one, the workflow itself is broken. Cycles in the super graph (--strict-groups mode, groups feeding each other through different members) are silently broken with a DFS feedback-arc-set pass; the dropped edges only affect outer-layer assignment, not the final node positions or wiring.
4. Hand-tuned layouts that overlap groups deliberately (e.g. two groups sharing a horizontal column with one above the other) won't be reproduced — the algorithm doesn't pack groups in 2D. The default mode comes within ±10% of hand-tuned area on average; the --strict-groups mode is typically +30-50% larger because each group claims its own outer cell.
5. Workflows where most nodes are ungrouped still benefit from median layering and cohesion, but the absorption step has nothing to absorb so the singleton spread is whatever it is. Authoring groups around the leaf clusters before running the script gives noticeably better output.

When NOT to use this

• Small workflows (~5–8 nodes). Hand-arrange is faster.
• The user deliberately designed a non-DAG layout for visual reasons — e.g. parallel branches arranged top-to-bottom for clarity, or a "before / after" comparison stacked vertically. Auto-layout will collapse parallel branches according to their depth.
• The workflow uses Note nodes as section labels with hand-placed positioning. They survive but the placement won't match the user's intent.

After running

Surface the output path so the user can navigate to it directly. After overwriting in place, remind the user to reload the page in ComfyUI to pick up the new positions — no service restart needed (and don't restart, per project CLAUDE.md that would kill any running generation). After producing <stem>-laidout.json, offer to mv it over the original once the user confirms the new layout looks good.