ausboss
4e435e3013
Every display name swaps ' (AusBoss)' for ' 🆎' - menus, docs, tooltips,
the README, and the example workflow's notes. Mapping keys never change,
so saved workflows keep loading; 'ausboss' keeps finding everything via
the category, the AUSBOSS_NODES_ prefix, and SEARCH_ALIASES. Python error
messages drop the suffix entirely so exception text stays ASCII for
cp1252 consoles.
The LM Studio endpoint toolbar declared no getMinHeight, so the frontend
gave its wrapper a 12px sliver and the buttons clipped; it now declares
32px through every sizing path, and the buttons breathe at 22px.
3.5 KiB
Stitch Inpaint
Pastes an inpainted crop from Crop For Inpaint 🆎 back into the original image. The crop is resized to its source window if the sampler changed its size, blended in with the feathered mask recorded in the stitcher, and the original frame is sliced back out.
Guarantees
- Pixels outside the blend region are bit-identical to the original
image — they never pass through a resize or blend. This holds with
fix_edge_haloon as well: the toggle changes the color that is pasted, never how far the paste reaches. - Feeding the crop back unchanged reproduces the original image exactly
(with
fix_edge_halooff; the fix rewrites the feathered band on purpose).
Controls
- stitcher: The stitcher output of Crop For Inpaint. It carries the paste window, the blend mask, and the untouched original pixels.
- inpainted: The inpainted crop. A stitcher built from a single image broadcasts across an N-frame inpainted batch, so one still-image crop can stitch a whole video; matched N-to-N batches also work.
- fix_edge_halo: Off by default. Recovers the true color under the feathered seam before pasting, so half-transparent edge pixels stop blending their background in a second time. It costs real time per frame — read "What it costs" below before turning it on for a whole batch.
Fixing an edge halo
A feathered paste mixes each seam pixel with the original image. When the inpainted pixel is itself already a mix of new content and the old background — common after object removal, or when the mask hugged the subject too tightly — that background gets counted twice and the seam reads as a dark or light rim around the repair.
Turn fix_edge_halo on and the pasted color is re-derived first: the opaque
core's color is spread outward across the blend band, and the paste blends
toward that instead of the contaminated pixel. Leave it off when the seam
already looks clean — a clean seam has nothing to gain, and the estimate is
not free.
The fix needs the optional pymatting
package:
pip install pymatting
Without it the node prints one console note and pastes exactly as it would with the toggle off — the graph keeps running either way.
What it costs
The estimate is a CPU solve run once per frame, and it scales with the paste window rather than with the whole image — roughly 90 ms per megapixel of that window. Measured on a 16-thread desktop CPU with pymatting 1.1.15: about 48 ms for the 768x768 window a 1024x1024 frame produces, about the same for the 960x544 window from 720p, and about 106 ms for the 1440x816 window from 1080p. Expect several times that on a modest laptop CPU.
Per frame, that adds up: 300 frames of 1080p is over half a minute spent in the estimate alone. This is why the toggle ships off — it is meant for finishing a take you have already chosen, not for a long exploratory batch. Batches of more than one frame report per-frame progress and check for a cancel between frames, so a run started by mistake stops at the next frame boundary rather than playing out to the end.
Outputs
- image: The original-size image with the inpainted region blended in.
Wiring
Crop For Inpaint ── image/mask ──> LaMa Inpaint ── image ──> Stitch Inpaint ── image
└── stitcher ────────────────────────────────────────────┘