_fill_tensor already returns the pad color sized to the image's
channels, with extra channels opaque, so _color_pad's own alpha branch
could never run; a test now pins the opaque alpha instead. Save Image
confines every destination to the output folder before writing, so the
preview loop's "saved outside the output folder" fallback was dead too.
- 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.
The audit compared every node against ComfyUI core and the major packs;
this lands its outcomes in one branch.
On-node visual editing (the old Codex-pack interaction, rebuilt):
- New Load Image + Pad: image loader with whole-edge pad dragging on the
node canvas, align-to-multiple rounding, and a megapixel target that
rescales the source before padding so the mask seam stays binary.
- Pad Image gains the same handle canvas, fed by an execution-time
snapshot of its input; wireframe with diagnostic empty states before
the first run. Widgets, outputs, and saved workflows unchanged.
- Image Crop + Rotate + Pad's compact panel is now a live stage - crop,
pad, and rotate handles on the node, one shared implementation with
the full-screen editor so the two surfaces cannot drift.
Feature gaps closed against the ecosystem:
- Crop For Inpaint: target_megapixels, selectable rescale_algorithm
(recorded in the stitcher for the paste-back), and extend_* inputs
that grow the frame itself for outpainting.
- Save Video: format choice - mp4 h264, mp4 h265, webm vp9 with Opus
(resampled to 48 kHz); CRF drives all three.
- Load Video: every_nth thinning (fps output divides to match) and a
max_frames cap that ends the decode early.
- LoRA Loader: saved stack templates behind a bar button, and a console
warning when a LoRA's base-model family disagrees with the checkpoint.
- LM Studio Chat: history in/out for multi-turn chains and a json_schema
widget for structured replies.
- Drop Shadow: multiply blend and a shadow_mask output. Align Image:
offset outputs for un-aligning after sampling. Color Match:
first_frame reference mode as a one-node video flicker fix.
Removed (backed up in git history): Select Frame Range and the Video
Bundle family - core ImageFromBatch and the core VIDEO wire now cover
both jobs. Dead NODE_ID module variables cleaned out of every node file.
455 Python tests, 216 JS tests, validate_nodes.py green on 19 node files.
Align Image snaps width and height to a clean multiple - 16, 32,
whatever the model wants - because Qwen image models, VAEs and plenty of
samplers only behave on cleanly divisible sizes. Each mode implies its
own rounding, so there is no separate direction widget: resize rescales
to the nearest multiple, crop center-crops down, pad replicate-pads up,
and a side smaller than one multiple always grows to exactly one rather
than erroring. The new size comes out as INTs for wiring into latents.
Image Size reads width, height, longest edge and shortest edge off the
wire so resizes and latents key off the actual image instead of retyped
numbers that drift.
LM Studio Chat posts a prompt - and optionally one image - to a local
LM Studio server, or anything else speaking the OpenAI-compatible chat
API. The interface is the middle ground the installed ecosystem packs
miss on either side: endpoint string, model string where EMPTY means
whatever the server has loaded (a dropdown fetched at ComfyUI startup
goes stale whenever LM Studio was not running yet), optional system
prompt, prompt required unless an image is connected, temperature,
max_tokens, seed as the re-roll knob, a timeout, and an image downscale
cap. Reasoning-model think blocks land on their own output so the text
stays clean for conditioning. Stdlib urllib only - no new dependencies -
and the POST runs off the executor thread. Every error names what to
fix, with the server's own words when it had any.
Verified live against a running LM Studio: a JIT-loaded qwen3.5-9b
answered a text round trip in 7.6 s through the real node; the
no-model-loaded 400 and a dead port both surfaced their actionable
messages. The vision payload shape is unit-tested; the two local VL
quants refused images server-side (missing projector / failed load), so
the live vision check stays on the deployment checklist.
48 offline tests cover the alignment math, both size nodes, the URL and
payload builders, think-splitting, image encoding, and every mocked
network error path.
ausboss