Adjustments and filters on a smart object add a smart filter, so their live
preview re-renders the smart object from its source through its placement.
The preview runs on a proxy document scaled down by k (large documents), and
proxy_document scaled the smart object's cache but left its transform (and
perspective and filter mask) in full-size document coordinates. The re-render
then came out k times too large on the proxy canvas, so the object looked
zoomed in until OK committed the full-size result.
proxy_document now scales the placement and the filter mask with the proxy.
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
The live on-canvas filter preview runs the real command on a downsampled
proxy of the document, but the proxy dropped the selection, so on documents
large enough to need a proxy (over ~5 MP) the preview filtered the whole
layer while OK only changed the selection. The proxy now downsamples the
selection with the pixels, so the preview is limited to the (feathered)
selection exactly like the result.
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Brandon Thomas <echelon@gmail.com>
* Compose: render in place and in bands; area-reduced and proxy thumbnails
render_tiled wrote every tile into a Vec and then copied them into the output:
two full-size float copies (6.3 GB for a 14000² document). Tiles are now
written straight into the output band by band.
New streaming APIs so large documents never need a full-size float
composite: render_bands (sink per band of ~8 MP), render_reduced (banded
area average, bit-identical to the old flatten-then-average thumbnail) and
flatten_to_surface (Flatten Image, Merge Visible, Copy Merged and the other
flattened-surface users).
thumbnail() reduces a downsampled proxy (moved from ui-egui to
compose::proxy, now also scaling spot channels) for documents over 16 MP
when that is faithful (no layer effects or vector masks), so navigator,
channel and histogram thumbnails of a 196 MP document cost milliseconds.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* GPU canvas: request the adapter's real limits; banded CPU fallback; navigator thumbnail
egui-wgpu asks for an 8192 px texture limit, so the wgpu compositor rejected
every document wider or taller than 8192 px and each refresh fell back to a
full CPU flatten. The desktop and web apps now request the adapter's own
max_texture_dimension_2d and max_buffer_size (gpu_canvas::use_adapter_limits);
the benches use the same limits.
The CPU fallback (documents beyond the GPU limit, or features it lacks) is
GpuCanvas::refresh: it renders and uploads the composite band by band
instead of a full float composite plus a full RGBA8 copy. The CPU canvas
texture is reduced in bands too, and the Navigator on the GPU canvas uses a
cached thumbnail instead of a full-resolution CPU composite per revision.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* IO: banded export and import; no full-size copies in encoders; larger decode limits
- Flat export renders the composite in bands and quantises each band; alpha
is dropped in place when every pixel is opaque. The single-layer native
path copies surface rows a band at a time (no f32 read_region and no
per-pixel Vec). Buffers come from try_reserve: Err, not an abort.
- PSD export encodes the merged image band by band into its planes (no
flatten, no second plane copy); near-opaque documents are re-encoded
without the white matte so the output is unchanged. Layer interleaved
bytes are freed before their planes are compressed.
- Flat import converts in ~32 MB bands (and not at all when already RGBA);
the PSD merged-image un-matte works per tile row.
- Encoders borrow the image when no conversion is needed (Image::converted)
instead of cloning it; PNG only copies 16-bit data for the byte swap.
- Decode limits: 2^30 pixels and 8 GiB on 64-bit targets (a 20000² JPEG
was refused at 2^28).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* Filters: write tile results in memory-bounded groups
apply_tiled collected every tile's float result before writing any (3.1 GB
for a 14000² layer). Results are now produced and written in groups of about
256 MB (at least one tile per core).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* History: bound pixel memory by Preferences > Performance > Memory Usage
History::max_bytes caps the current document's tiles plus the tiles only
history holds (layers, masks, alpha channels); History::trim drops the
oldest states beyond it after every recorded step and when preferences
change, always keeping the last step undoable. The engine sets it from
memory_usage_mb, which was unused.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* Large-image benchmark (14k / 20k): open, refresh, thumbnails, filter, stroke, saves
One operation per run on a cached synthetic photo, with the GPU device created
the way the app creates it, so /usr/bin/time -l reports that operation's peak
memory. Documented in docs/development.md.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
