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AI reference frame for the Fujifilm recipe Wet Asphalt Harvest AI reference frame Fujifilm · 2026-11-12

Wet Asphalt Harvest

Classic Neg
Film simulation
Classic Neg
White balance
5900K
WB shift
-2 Red, +3 Blue
D range priority
Off
Dynamic range
DR200
Highlights
-1
Shadows
+1
Color
+1
Sharpness
+1
Clarity
+2
Noise reduction
-3
Grain effect
Weak, Large
Color chrome effect
Weak
Color chrome FX blue
Off
Exposure comp.
-0.3
ISO
800–3200

Bodies X-T5, X-T50, X-T4, X-T30 II, X-H2, X-H2S, X-S20, X-S10, X-Pro3, X-E4, X-E5, X-M5, X100VI, X100V, GFX100 II, GFX100S II, GFX100S, GFX100RF, GFX50S II

This image is an AI reference frame: Luma generates it alongside the recipe to show the mood being aimed at. No photograph here was taken with these settings, and it is not a sample of what your camera will produce. The settings values are the real thing.

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About this recipe

A documentary street recipe built for overcast November days when fallen leaves plaster wet city pavements and commuters cut through amber-lit corridors between buildings. Classic Neg's inherent green-shadow bias and crushed midtones lend gritty realism to scenes that would otherwise look soft, while a cool white balance shift makes yellows and oranges pop against grey concrete. Slightly lifted shadows preserve detail in dark doorways and under canopies without losing the flat, "found footage" feeling that makes street documentary work feel honest. Use it handheld, shoot wide in crowds, or isolate a lone figure against a leaf-strewn sidewalk — this recipe handles all of it without fuss.

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← Tarnished Lake Stillness→ Harvest Town Dispatch

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