| 1 | # Rendering Comparison Set |
| 2 | |
| 3 | ## Controlled variables |
| 4 | |
| 5 | | Dimension | Value | Status | |
| 6 | |---|---|---| |
| 7 | | Rendering | **varies (20 styles)** | under comparison | |
| 8 | | Palette | `cool-corporate` | fixed baseline | |
| 9 | | Composition | single-subject hero — see [`image-generator.md`](../../image-generator.md) §4.1 Primitive A | fixed baseline | |
| 10 | |
| 11 | ## Subject |
| 12 | |
| 13 | > A confident professional standing beside an upward growth chart, looking forward — single dominant subject occupying 60-70% of the canvas. This is the "single-subject hero" composition described as [`image-generator.md`](../../image-generator.md) §4.1 Primitive A, used here as a stable baseline because a single dominant subject makes rendering differences read most clearly. |
| 14 | |
| 15 | ## Baseline HEX (canonical cool-corporate values) |
| 16 | |
| 17 | - Primary `#1E3A5F` deep navy (main subject) |
| 18 | - Secondary `#F8F9FA` off-white (~60-70% breathing space) |
| 19 | - Accent `#D4AF37` gold (< 5% emphasis) |
| 20 | |
| 21 | ## Naming convention |
| 22 | |
| 23 | Each filename is `<rendering>.png`, matching the corresponding file under `references/image-renderings/`. |
| 24 | |
| 25 | ## Why fix single-subject hero + cool-corporate |
| 26 | |
| 27 | - The single-subject hero composition (§4.1 Primitive A) makes rendering differences read most clearly — a single dominant subject is the most visually representative shape |
| 28 | - `cool-corporate` has the most restrained color behavior — it does not visually overpower the rendering style being compared |
| 29 | - Both are the most common "origin" choices in production, making this set the most stable comparison baseline |
| 30 | |
| 31 | ## How to read this set |
| 32 | |
| 33 | Scan all 20 images side by side. Focus on: |
| 34 | |
| 35 | - **Line quality** — hand-drawn vs vector vs photographic |
| 36 | - **Surface material** — flat vs volumetric vs paper vs screen |
| 37 | - **Emotional temperament** — restrained-professional vs warm-narrative vs retro-nostalgic |
| 38 |