Develop every raw through the AI denoise by default, with a strength, cached
The learned demosaic was an option under Detail, off by default. It is now how a Bayer raw is developed: on by default at full strength on every device — which hardware runs it is the inference engine's choice — and first in the Adjust panel, since it decides what every control below is applied to. Strength (0-100, default 100) replaces Keep grain: grain = 100 - strength, the same luminance-only blend, so moving it is one GPU pass and never a re-run. 0.21.0's sidecars stored grain; it is still read, as the inverse, and never written. With it on for every photograph, the result is now kept on disk (denoise.md §7.1, §12): the network's output as half floats, keyed on a SHA-256 of the file's bytes and the model, oldest first past a 5 GB budget, beside the inference engine's cache. A reopened photograph and an export of one already developed read it back instead of running the network again; a damaged entry is a miss.
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@@ -223,7 +223,9 @@ fn catalogued(key: &str) -> Option<&'static str> {
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// panel under its own name — see `rows_filtered`.
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"param.lens_profile.apply" => "Apply",
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"param.learned_denoise.apply" => "Apply",
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"param.learned_denoise.grain" => "Keep grain",
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// How strongly: 100 % is the network's result, and less puts the
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// removed noise's brightness back as grain.
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"param.learned_denoise.strength" => "Strength",
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"param.camera_profile.apply" => "Use Profile",
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// The LookTable's strength.
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"param.camera_profile.look" => "Look Amount",
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