ausboss
3f715a4af8
- 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.
2.4 KiB
2.4 KiB
Align Image
Snaps an image's width and height to a clean multiple of a number you pick — 8, 16, 32, 64, whatever the model downstream wants. Qwen image models, VAEs, and plenty of samplers behave best (or only work) on sizes that divide cleanly; this node makes any input legal without hand-typing resolutions.
Controls
- image: BHWC batch to align; every frame is treated the same.
- multiple: Both output sides come out divisible by this.
16or32suits most diffusion models; latent nodes generally want at least8. - mode: How the multiple is reached. Each mode implies its own rounding
direction, so there is no separate rounding widget:
- resize — rescale to the nearest multiple. A slight stretch, but every pixel's content survives. The default.
- crop — crop down to the next multiple. No distortion; a few edge pixels are trimmed.
- pad — pad the edges up to the next multiple. No distortion; the new pixels are filled per pad_fill.
- crop_position: Crop mode only — which part of the frame survives.
centertrims both edges evenly;top,bottom,left, orrightpin that edge and trim the opposite one. Ignored by resize and pad. - pad_position: Pad mode only — where the image sits on the grown
canvas; the new pixels land on the opposite side.
centersplits them evenly. Same vocabulary ascrop_position. - pad_fill: Pad mode only — what fills the new area.
replicatestretches the edge pixels out;coloruses pad_color as a solid. - pad_color: The solid fill for
pad_fill: color. Hex,R,G,Bnumbers, or a CSS color name.
A side already smaller than one multiple can never be cropped legal, so it snaps up to exactly one multiple in every mode (in crop mode the deficit is replicate-padded evenly).
Outputs
- image: The aligned batch.
- width / height: The new size as INTs — wire them into an Empty Latent, a resize, or conditioning nodes so the numbers can never drift from the actual image.
- offset_x / offset_y: Where the original's left/top edge sits in
the output: positive after padding, negative after cropping,
0after a resize — wire into a crop to un-align after sampling.
Notes
At most multiple - 1 pixels are added or removed per side, so the change
is invisible at 16 or 32 on normal resolutions. Batches keep their frame
count; values stay in [0, 1].