The same cream and white Victorian glass conservatory from step 2, seen from the gravel garden path at blue hour: the glazed sunburst gable with white double doors, cream pilasters and tall narrow windows, the closely ribbed barrel vault glowing amber like a lantern, two small fan palms inside the doors, and autumn trees with a brick house behind. Every fixed design detail is restated so the building stays identical.
Photoreal architectural exterior photograph of the same Victorian glass conservatory from step 2, now seen from outside at blue hour, standing on a pale gravel garden path about 15 m in front of its glazed gable end, at eye level (1.6 m), looking straight at the gable and along the length of the building, 35mm lens, 16:9 landscape composition, symmetrical, the whole building in frame slightly below center. Keep every fixed design detail identical to step 2: a long, narrow rectangular hall with a tall curved barrel-vault glass roof; many closely spaced slender white-painted iron ribs run over the vault, and the glass between them is divided by a dense grid of thin white glazing bars. The side walls are cream painted classical masonry: tall cream pilasters with carved white scroll corbels under a cream cornice, and between them very tall, narrow white-framed windows divided into long vertical panes, set above a low cream plinth wall. The gable end facing the camera is a glazed semicircle following the vault curve, filled with radiating sunburst glazing bars above a horizontal transom; below it a wide white-framed glass wall of rectangular panes with tall white double glass doors in the center, closed, each door with a small brass handle. Seen through the glass, glowing from inside: the warm beige stone tile floor, the long empty central hall, the pilasters and windows of the far end, and two small fan palms in round white planters standing just inside the doors, one on each side. The interior is lit by warm amber light from wall lamps behind the pilasters, so the whole glass vault glows like a lantern and the white ribs stand out in silhouette. Outside: the gravel path runs straight from the camera to the doors between low clipped box hedges and a mown lawn; mature deciduous trees in early autumn color stand on both sides, and a dark red brick house with lit windows is partly visible behind the trees on the left. Deep cobalt blue sky with the last pale glow low on the horizon, a few early stars, cool blue dusk mixed with warm amber interior light, faint mist over the lawn, soft reflections on the glass. Calm, romantic, timeless mood, crisp architectural detail, true colors, straight verticals. No people, no readable text, no signs or plaques, no modern objects or garden lights, no watermark.
Describe the floating cedar teahouse you imagine on a mountain lake, its scale, roof, screens, engawa, lanterns, boats, and mood, and get an architecture concept, a palette, a numbered list of fixed design details, and two image prompts showing the same teahouse from the misty morning shore approach and from inside at lantern dusk, plus a consistency checklist. Step 1 of a three-step workflow.
Act as an architectural concept brief builder for a floating lakeside teahouse. You translate a vague mood into fixed, visual design details that can be reused across multiple image prompts so the same building stays recognizable from different angles and times of day. You are concrete about materials, dimensions, and what must not change. About the teahouse I imagine: - Setting: a quiet mountain lake in early autumn, forested shores, soft fog - Scale and use: intimate, seats 6 to 8 on floor cushions, ceremonial tea for small groups - Structure vibe: Japanese-inspired cedar, not a theme-park copy; quiet, handmade, slightly weathered - Must include: hipped cedar shingle roof, sliding paper shoji, narrow engawa deck, two stone lanterns on the dock, a small tied wooden boat - Must avoid: neon signs, glass curtain walls, people in the frame, readable text - Mood words: hushed, misty, warm wood, contemplative - Preferred views to generate later: morning approach from the shore path; dusk interior looking out across the water Please do the following: 1. Write a 1-paragraph architecture and setting concept for the floating teahouse. 2. Define a color and material palette (wood tones, paper, water, fog, metal accents). 3. List 10 to 14 fixed design details that must stay identical across every image (roof form and bay count, railing, lantern shapes, dock layout, boat position, mountain silhouette cues, etc.). 4. Produce Image Prompt A: photoreal exterior, misty morning, shore/path approach view, 16:9, embedding every fixed detail in the first half of the prompt. 5. Produce Image Prompt B: photoreal interior at lantern dusk looking out to the lake, 16:9, restating every fixed exterior-visible detail so the building still matches without a reference image. 6. Add a short consistency checklist a human can use when comparing A and B. 7. Add practical notes (what fal flux ultra tends to drop if buried late; keep key objects in the first sentence; under ~200 words per image prompt). Rules: - No people, no readable text, no logos. - Prefer specific measurable details over adjectives alone. - If I left a detail vague, choose one clear option and mark it as your choice. - Output in clear Markdown sections.
Photoreal view of a small floating cedar teahouse with a hipped shingle roof and shoji screens, approached from a shore path on a misty autumn morning, stone lanterns on the dock, a tied wooden boat, soft fog over still water, warm wood against cool blue-gray lake and mountains.
Photoreal architectural photograph of a small floating cedar teahouse on a still mountain lake in early autumn mist, 16:9 landscape, viewed from a wooden shore path approaching the dock. Key subjects first: a square one-room cedar teahouse with a dark weathered hipped shingle roof, four sliding shoji paper screens on the lake-facing side, a narrow engawa deck with simple vertical railings, two squat granite stone lanterns flanking the dock entrance, and a small tied wooden rowboat at the right side of the floating platform. The platform sits on dark timber pontoons just above the water; pale cedar walls show soft grain; copper rain chains hang at two corners. Behind the teahouse, layered blue-gray mountains fade into fog; pine forest lines the far shore; the water mirrors the roof as a soft blur. Light: low morning sun from the left, cool mist, warm wood highlights, quiet contemplative mood, crisp architectural detail, true colors. No people, no smoke plumes, no neon, no readable text, no watermark.
Photoreal dusk view from the deck of the same floating cedar teahouse: glowing shoji and dark tiled eaves on the left, paper and stone lanterns along the boards, a white rowboat, a long boardwalk over still blue-hour water, misty mountains and a red maple branch, restating the fixed design details of the morning view.
Photoreal photograph from the wide plank deck of a small floating cedar teahouse at lantern dusk, 16:9 landscape, camera at standing eye level beside the teahouse wall, looking out along the deck toward the lake. Key subjects first: the teahouse on the left edge with deep dark gray tiled eaves, warm honey-cedar posts and glowing pale shoji panels lit from inside, a low wooden table with two chairs on the deck, small paper lanterns glowing along the deck boards, two squat granite stone lanterns lit softly near the end of the deck, and a small white wooden rowboat resting on the far deck. Beyond, a long straight plank boardwalk runs out across still lake water at blue hour, reflecting the lantern glow, with layered blue-gray mountains in dusk silhouette, dark pine forest on the far shore, thin mist over the water, and a branch of red-orange autumn maple leaves at the upper edge. Same fixed design as the morning view: dark tiled hipped roof, cedar frame, shoji bays, stone lanterns, white rowboat, maple branch. Soft dusk light mixed with warm lantern glow, quiet contemplative mood, crisp wood grain, true colors. No people, no readable text, no neon, no watermark.
Indonesian batik textile pattern of mirrored twin peacocks beside lotus ponds in indigo and cream, with isen fills, kawung border, wax-resist crackle, and cloth weave texture. Flat ornamental fabric layout.
Twin peacocks facing each other beside lotus ponds, rendered as a traditional Indonesian batik textile pattern in indigo and cream. The peacocks fill the center with mirrored S-curved necks, fan tails filled with dotted isen motifs, and small floral medallions along the wings. Around them, oval lotus ponds hold blooming lotus flowers, pads, and tiny fish drawn as repeating geometric fills. A classic batik border frames the cloth: interlocking kawung and ceplok shapes with fine crackle lines from wax-resist dyeing. Palette limited to deep indigo blue, soft cream ground, and a few pale grey-blue washes. Hand-drawn irregularity in the lines, visible wax crackle texture, cloth weave grain, flat ornamental layout suitable for fabric. No people, no modern objects, no text, no signature.
Build an image-ready design brief for a lakeside pottery studio with a wood-fired kiln: shore orientation, compact form with kiln shed and dock, materials palette, wheel-room layout, kiln safety notes, fixed visual details for consistent images, and two prompt seeds (golden-hour exterior and blue-hour workbench).
Act as an architectural concept designer who specializes in small craft studios beside water. Help me build a clear, image-ready design brief for a lakeside pottery studio with a wood-fired kiln. First ask me, in one short list, for: the lake setting (forest shore, rocky cove, open meadow), clay and firing style (stoneware, earthenware, wood-fired, electric assist), studio vibe (rustic cedar, modern glass-and-timber, Japanese-inspired), footprint budget (modest shed, mid-size workshop, generous), and any must-haves (dock, glaze sink, drying racks, guest seating, overnight loft). Then produce the brief with these sections: 1. **Concept in One Sentence**: the feeling and purpose of the studio. 2. **Site and Orientation**: where it sits on the shore, which way the big windows face for light and lake view, kiln shed placement for smoke and wind, path from parking or path to the dock. 3. **Form and Massing**: footprint, roof shape, open bay doors for the wheel room, and a separate or attached kiln shed, with rough dimensions. 4. **Materials and Palette**: exterior cladding (for example weathered cedar), roofing, window frames, dock boards, and interior wood and plaster tones. 5. **Interior Layout**: potter's wheels by the lake-facing windows, wedging table, glaze bench, drying shelves, sink, wood stove if needed, and storage for clay and tools. 6. **Kiln and Safety Notes**: wood-fired kiln orientation, ash and smoke path, safe clearances, and how the shed opens for loading. 7. **Fixed Visual Details**: a numbered list of 8 to 10 details that must stay identical in every image of this studio (cladding, roof color, dock shape, kiln chimney, window count, tree types, water color, golden-hour light direction). 8. **Image Prompt Seeds**: two short prompt starters, one for a golden-hour exterior with dock and kiln shed, and one for a blue-hour interior workbench looking out to the water. Each must restate the fixed visual details and put the key subject in the first sentence. Keep it concise, practical, and buildable. Avoid naming real architects or brands. Flag anything unsafe for wood firing near trees or a dock.
Audits foreground/background color pairs for WCAG 2.x contrast (AA and AAA for normal and large text), reports ratios and pass/fail, and notes color-blindness risks. Use when checking UI palettes, design tokens, or asking "is this gray-on-white readable?". Includes a stdlib Python contrast checker with --self-test.
---
name: accessibility-color-contrast-auditor
description: Audits foreground/background color pairs for WCAG 2.x contrast (AA and AAA for normal and large text), reports ratios and pass/fail, and notes color-blindness risks. Use when checking UI palettes, design tokens, or asking "is this gray-on-white readable?". Includes a stdlib Python contrast checker with --self-test.
---
# Accessibility Color Contrast Auditor
You help designers and frontend engineers check whether text and UI colors meet WCAG 2.x contrast ratios. You compute relative luminance contrast for foreground/background pairs, map results to AA/AAA for normal and large text, and flag pairs that rely on hue alone for meaning.
## Files in this skill
- `scripts/contrast_check.py` - computes contrast ratios for hex pairs and prints a pass table (Python 3 standard library only)
- `references/wcag-contrast.md` - thresholds and what counts as large text
- `references/color-blindness-notes.md` - why hue-only status colors fail real users
- `templates/audit-table.md` - markdown table for design reviews
- `examples/palette.json` - sample token pairs
## Workflow
### 1. Collect pairs
Ask for hex colors (`#RGB`, `#RRGGBB`, or `#RRGGBBAA` with alpha ignored against an opaque background). Note which is text/icon (fg) and which is surface (bg).
### 2. Run the checker
```
python3 scripts/contrast_check.py --fg '#1a1a1a' --bg '#ffffff'
python3 scripts/contrast_check.py --palette examples/palette.json
python3 scripts/contrast_check.py --self-test
```
### 3. Interpret
- Normal text AA needs **4.5:1**; AAA needs **7:1**.
- Large text (18pt+ or 14pt+ bold) AA needs **3:1**; AAA needs **4.5:1**.
- Non-text UI components / graphical objects that convey meaning need **3:1** against adjacent colors (WCAG 2.1 SC 1.4.11).
### 4. Answer
For each pair: ratio (one decimal), AA/AAA normal, AA/AAA large, and a short fix suggestion (darken fg, lighten bg, or add weight/size). Mention color-blindness if status depends on red vs green alone.
## Rules
- Use the WCAG relative luminance formula; do not approximate with "eyeballing".
- Ignore marketing claims about "accessible mode" unless ratios are shown.
- If alpha blending is involved, ask for the effective flattened hex on the real background.
FILE:references/wcag-contrast.md
# WCAG contrast thresholds (WCAG 2.1 / 2.2)
| Content | AA | AAA |
| --- | --- | --- |
| Normal text | 4.5:1 | 7:1 |
| Large text | 3:1 | 4.5:1 |
| UI components & graphical objects (1.4.11) | 3:1 | — |
## Large text
Large text is at least **18 CSS pt** (typically 24px) regular, or **14 CSS pt** (typically 18.66px) bold.
## Relative luminance
For sRGB channel C_srgb in 0..1:
- if C_srgb <= 0.04045: C = C_srgb / 12.92
- else: C = ((C_srgb + 0.055) / 1.055) ^ 2.4
L = 0.2126 R + 0.7152 G + 0.0722 B
Contrast ratio = (L_lighter + 0.05) / (L_darker + 0.05)
## Notes
- Placeholder / disabled text is exempt from text contrast SCs but still benefits from clarity.
- Focus indicators need 3:1 against adjacent colors (2.4.11 / 2.4.13 depending on level).
FILE:references/color-blindness-notes.md
# Color blindness notes for palettes
Contrast ratio alone is not enough when meaning is carried only by hue.
## Common pitfalls
- **Red vs green status** without icon or label: deuteranomaly/protanomaly users may not tell them apart.
- **Chart series** distinguished only by color: add patterns, shapes, or direct labels.
- **Link color** same lightness as body text: underline or weight must remain when color is removed.
- **Error borders** that are only a pale red tint: ensure 3:1 against the background and include text/icon.
## Safer patterns
1. Pair color with text ("Error", "Success") or icon.
2. Use lightness differences, not only hue shifts.
3. Test a grayscale screenshot of the UI.
4. Avoid conveying required-field state with red alone.
## Deuteranopia-friendly tip
Prefer blue/orange or blue/brown pairs over red/green for categorical data when you must use two hues.
FILE:templates/audit-table.md
# Contrast audit
- **Product / screen**:
- **Date**:
- **Standard**: WCAG 2.2 AA (default) / AAA where noted
| Token / use | FG | BG | Ratio | AA normal | AAA normal | AA large | Notes / fix |
| --- | --- | --- | --- | --- | --- | --- | --- |
| body text | `#1a1a1a` | `#ffffff` | 16.1 | pass | pass | pass | |
| muted caption | `#9ca3af` | `#ffffff` | 2.5 | fail | fail | fail | Darken to ~`#6b7280` |
## Decisions
- [ ] Update tokens
- [ ] Accept large-text-only usage
- [ ] Add non-color cue
FILE:examples/palette.json
{
"pairs": [
{"name": "body_on_white", "fg": "#1a1a1a", "bg": "#ffffff"},
{"name": "muted_on_white", "fg": "#9ca3af", "bg": "#ffffff"},
{"name": "link_on_white", "fg": "#2563eb", "bg": "#ffffff"},
{"name": "button_label", "fg": "#ffffff", "bg": "#2563eb"},
{"name": "error_on_white", "fg": "#dc2626", "bg": "#ffffff"},
{"name": "white_on_light_gray", "fg": "#ffffff", "bg": "#e5e7eb"}
]
}
FILE:scripts/contrast_check.py
#!/usr/bin/env python3
"""WCAG contrast ratio checker for hex fg/bg pairs.
Usage:
python3 contrast_check.py --fg '#1a1a1a' --bg '#ffffff'
python3 contrast_check.py --palette palette.json
python3 contrast_check.py --self-test
Python 3 standard library only.
"""
from __future__ import annotations
import argparse
import json
import math
import sys
from typing import Dict, List, Tuple
def parse_hex(color: str) -> Tuple[float, float, float]:
c = color.strip().lstrip("#")
if len(c) == 3:
c = "".join(ch * 2 for ch in c)
if len(c) == 8:
c = c[:6] # ignore alpha
if len(c) != 6:
raise ValueError(f"Bad hex color: {color!r}")
r = int(c[0:2], 16) / 255.0
g = int(c[2:4], 16) / 255.0
b = int(c[4:6], 16) / 255.0
return r, g, b
def channel(c: float) -> float:
if c <= 0.04045:
return c / 12.92
return ((c + 0.055) / 1.055) ** 2.4
def relative_luminance(rgb: Tuple[float, float, float]) -> float:
r, g, b = rgb
return 0.2126 * channel(r) + 0.7152 * channel(g) + 0.0722 * channel(b)
def contrast_ratio(fg: str, bg: str) -> float:
l1 = relative_luminance(parse_hex(fg))
l2 = relative_luminance(parse_hex(bg))
lighter, darker = max(l1, l2), min(l1, l2)
return (lighter + 0.05) / (darker + 0.05)
def evaluate(ratio: float) -> Dict[str, bool]:
return {
"aa_normal": ratio >= 4.5,
"aaa_normal": ratio >= 7.0,
"aa_large": ratio >= 3.0,
"aaa_large": ratio >= 4.5,
"ui_3_1": ratio >= 3.0,
}
def format_row(name: str, fg: str, bg: str) -> str:
ratio = contrast_ratio(fg, bg)
ev = evaluate(ratio)
flags = " ".join(
f"{k}={'PASS' if v else 'FAIL'}"
for k, v in ev.items()
if k in ("aa_normal", "aaa_normal", "aa_large")
)
return f"{name}: {fg} on {bg} -> {ratio:.2f}:1 {flags}"
def self_test() -> int:
cases = [
("black_white", contrast_ratio("#000000", "#ffffff"), 21.0),
("white_black", contrast_ratio("#ffffff", "#000000"), 21.0),
("body", contrast_ratio("#1a1a1a", "#ffffff") > 12.0, True),
("muted_fail_aa", evaluate(contrast_ratio("#9ca3af", "#ffffff"))["aa_normal"], False),
("link_aa", evaluate(contrast_ratio("#2563eb", "#ffffff"))["aa_normal"], True),
("same_color", abs(contrast_ratio("#ffffff", "#ffffff") - 1.0) < 1e-9, True),
("short_hex", abs(contrast_ratio("#000", "#fff") - 21.0) < 1e-9, True),
("parse3", parse_hex("#abc") == parse_hex("#aabbcc"), True),
("ui_pass", evaluate(3.0)["ui_3_1"], True),
("aaa_border", evaluate(7.0)["aaa_normal"], True),
("just_under_aa", evaluate(4.49)["aa_normal"], False),
]
failed = 0
for name, got, expected in cases:
if isinstance(expected, float):
ok = abs(float(got) - expected) < 0.05
else:
ok = got == expected
failed += not ok
print(f"{'PASS' if ok else 'FAIL'} {name}: got={got!r} expected={expected!r}")
print(f"\n{len(cases) - failed}/{len(cases)} passed")
return 1 if failed else 0
def main(argv=None) -> int:
p = argparse.ArgumentParser(description="Check WCAG contrast for fg/bg hex pairs.")
p.add_argument("--fg")
p.add_argument("--bg")
p.add_argument("--palette", help="JSON file with {pairs:[{name,fg,bg}]}")
p.add_argument("--json", action="store_true")
p.add_argument("--self-test", action="store_true")
a = p.parse_args(argv)
if a.self_test:
return self_test()
rows = []
if a.palette:
data = json.load(open(a.palette, encoding="utf-8"))
for pair in data.get("pairs", []):
rows.append(pair)
elif a.fg and a.bg:
rows.append({"name": "pair", "fg": a.fg, "bg": a.bg})
else:
p.error("provide --fg and --bg, or --palette, or --self-test")
out = []
any_fail = False
for row in rows:
ratio = contrast_ratio(row["fg"], row["bg"])
ev = evaluate(ratio)
if not ev["aa_normal"]:
any_fail = True
item = {"name": row.get("name", "pair"), "fg": row["fg"], "bg": row["bg"], "ratio": round(ratio, 2), **ev}
out.append(item)
if not a.json:
print(format_row(item["name"], item["fg"], item["bg"]))
if a.json:
print(json.dumps(out, indent=2))
return 1 if any_fail else 0
if __name__ == "__main__":
sys.exit(main())Build an image-ready brief for a small hillside vineyard tasting pavilion: slope orientation and sun path, compact form with downhill terrace, a four-to-five material palette, vine-row landscape, fixed visual details, and two exterior prompt seeds (harvest morning and sunset terrace).
Act as an architectural concept designer who writes image-ready design briefs. Help me shape a small hillside vineyard tasting pavilion: a single-story building where visitors taste wine and look out over the vine rows. Your brief must be specific enough that two separate image generations (an establishing exterior and a second exterior angle) show the same building. First ask me, in one short message, for: - Region and climate (for example Mediterranean, temperate river valley, high desert) and the season I want to show - Slope direction and the main view (valley, lake, distant mountains, village) - Capacity (how many guests at once) and whether there is a small barrel room or kitchen - Material preferences and anything I want to avoid (glass boxes, rustic kitsch, very modern minimalism) - Mood words (calm, sunny, earthy, elegant, family-run) Then produce the brief with these sections: 1. **Site and Orientation**: where the pavilion sits on the slope, which side faces the view, sun path for morning and sunset, and how a gravel path climbs from the parking area through the vines. 2. **Building Form**: footprint size, roof shape and pitch, overhang depth, the long covered terrace on the downhill side, and the number and position of large openings. Keep it compact and believable. 3. **Materials Palette**: exactly four or five materials with colors (for example local limestone walls, oiled oak beams, clay roof tiles, bronze window frames, gravel terrace) and where each one appears. 4. **Landscape**: vine row direction, an old olive or oak tree near the entrance, low stone retaining walls, lavender or herb borders, and outdoor tables. 5. **Fixed Visual Details**: a numbered list of 8 to 10 details that must stay identical in every image (roof type and color, wall material, number of terrace arches or posts, door color, chimney or none, the signature tree, lighting fixtures). These details make the images consistent. 6. **Prompt Seed A - Establishing Exterior**: a ready-to-paste image prompt under 150 words for a morning or harvest-season exterior from the uphill path, with the building and its key objects in the first sentence. 7. **Prompt Seed B - Second Exterior Angle**: a ready-to-paste image prompt under 150 words for a sunset view from the downhill vine rows looking up at the terrace, repeating every fixed visual detail in plain words. 8. **Practical Notes**: three short notes on shade, accessibility (step-free entry), and drainage on a slope. Rules: no people as the main subject, no text or logos in the image prompts, no interiors in the seeds (image models often ignore furniture). Use short paragraphs and lists.
Art Nouveau decorative panel: a grey heron with an S-curved neck among blue and violet irises at a moonlit lily pond, a gold-leaf moon halo, dragonflies, and a whiplash-vine border. Bold outlines, flat muted teal, sage, iris blue, and gold.
A grey heron stands on one leg among tall blue and violet irises at the edge of a moonlit lily pond, framed by an ornate Art Nouveau border of curling whiplash vines, iris leaves, and dragonflies. Wide horizontal decorative panel in the spirit of 1900s Art Nouveau posters and stained-glass design. The heron's long neck forms a graceful S-curve, its feathers drawn with flowing contour lines in soft greys and pearl white. A large pale full moon sits inside a circular halo behind the bird, with concentric rings of gold leaf. Water lilies and round pads float on dark teal water with stylized ripple patterns. Bold dark outlines, flat areas of muted color, and fine decorative linework. Palette of deep teal, sage green, iris blue, lavender, cream, and burnished gold, with subtle aged paper grain. Symmetrical, elegant, calm composition with the heron slightly left of center and irises balancing the right side. Landscape 16:9. No people, no text, no lettering, no signature, no logos.
Build an image-ready brief for a small rammed earth village library: plaza and reading garden orientation, compact form with a signature reading tower, a four-to-five material palette, native landscape, fixed visual details, and two exterior prompt seeds (morning plaza and dusk garden).
Act as an architectural concept designer who writes image-ready design briefs. Help me shape a small rammed earth community library for a village or small town: a single-story building with a reading room, a children's corner, and a shaded outdoor reading garden. Your brief must be specific enough that two separate image generations (an establishing exterior and a second exterior view) show the same building. First ask me, in one short message, for: - Region and climate (for example dry highland, warm Mediterranean hills, semi-arid plains) and the season I want to show - The site: village square, edge of a park, hillside lane, or beside a school - Collection size and capacity (how many readers at once), and whether there is a small community room - Material preferences and anything I want to avoid (glass boxes, heavy concrete, rustic kitsch) - Mood words (welcoming, quiet, sunlit, earthy, civic, playful) Then produce the brief with these sections: 1. **Site and Orientation**: where the library sits, which side faces the public plaza and which faces the reading garden, the sun path for morning and dusk, and how people approach on foot. 2. **Building Form**: footprint size, roof type (flat, low mono-pitch, or gently curved), roof edge and overhang, the shaded entrance porch, the number and position of large openings, and one signature element such as a round reading tower or a wide clerestory band. Keep it compact and buildable. 3. **Materials Palette**: exactly four or five materials with colors (for example layered ochre and rust rammed earth walls, pale timber columns and soffits, a thin dark steel roof edge, local stone paving, clay planters) and where each appears. 4. **Landscape**: native trees and grasses, one signature tree near the entrance, a shallow stone water channel or none, benches, and bicycle stands. 5. **Fixed Visual Details**: a numbered list of 8 to 10 details that must stay identical in every image (wall color and visible earth layers, roof shape, number of porch columns, window count and shape, door color, the signature element and its position, the signature tree and its side, lighting fixtures). These details make the images consistent. 6. **Prompt Seed A - Establishing Exterior**: a ready-to-paste image prompt under 150 words for a bright morning exterior from the public plaza, with the building and its key objects in the first sentence. 7. **Prompt Seed B - Second Exterior View**: a ready-to-paste image prompt under 150 words for a dusk view from the reading garden side with warm light glowing from the windows, repeating every fixed visual detail in plain words and stating which side each element appears on from this viewpoint. 8. **Practical Notes**: three short notes on passive cooling and shade, step-free access, and protecting earth walls from rain (roof overhang, stone plinth). Rules: no people as the main subject, no text, signs, or logos in the image prompts, no interiors in the seeds (image models often ignore furniture). Use short paragraphs and lists.
Ottoman Iznik tile panel: a dark cypress at the center flanked by red tulips, blue carnations, and white hyacinths in cobalt vases, with saz leaves, plum blossoms, and a cloud-band border. Glossy white ground, cobalt, turquoise, and raised tomato red.
A wide panel of glazed Iznik ceramic tiles shows a tall dark green cypress tree in the center, flanked by sweeping red tulips, blue carnations, and white hyacinths growing from a small cobalt vase on each side. Classic sixteenth-century Ottoman Iznik style: brilliant white quartz-frit ground, deep cobalt blue, turquoise, emerald green, and raised tomato-red bole slip, with crisp dark outlines and flat glossy color. Long serrated saz leaves curve between the flowers, and plum blossom sprigs fill the upper corners. A border of interlocking blue and turquoise cloud bands and small rosettes frames the whole panel. The panel is made of square tiles with faint grout lines, gentle crazing in the glaze, slight hand-painted irregularities, and soft reflections from window light across the glossy surface. Straight-on, evenly lit museum photograph, perfectly symmetrical composition, rich and luminous colors. Wide landscape 16:9. No people, no hands, no text, no letters, no calligraphy, no logos.
Build an image-ready and motion-ready brief for one hero shot of an old stone watermill on a stream: architecture, waterwheel, water and landscape, light and mist, fixed details, a motion map, and two prompt seeds: a 16:9 still image and an image-to-video animation.
Act as a cinematic environment designer who writes image-ready and motion-ready scene briefs. Help me design one hero shot of a small old stone watermill on a stream, which will first be generated as a still image and then animated into a short video that uses that image as its first frame. Your brief must make the still image rich in elements that can move naturally (falling water, a turning wheel, mist, leaves, smoke, birds, flickering lights) while keeping the composition calm and easy to animate. My starting choices: - Region and landscape: temperate forest valley - Season and time of day: autumn dawn - Mill size and age: two-story fieldstone mill, about 200 years old - Visual style: photoreal landscape photography - Mood words: quiet, golden, misty, timeless First ask me, in one short message, for anything missing: the camera viewpoint I prefer (across the stream, from a small footbridge, or low near the water), whether the mill is still working or restored as a home or museum, and anything to avoid (people, animals, modern cars, power lines, signs). Then produce the brief with these sections: 1. **Scene Overview**: two or three sentences describing the place, the season, the light, and the story of the moment. 2. **Mill Architecture**: wall stone color and texture, roof material and shape, number of floors and windows, door, chimney, and the waterwheel type (overshot, undershot, or breastshot) with its size, material, number of paddles or buckets, and which side of the building it sits on. Include the wooden chute or millrace that feeds it. 3. **Water and Landscape**: the stream's width and flow, small cascades or a weir, rocks and moss, the type and color of trees, the ground cover, and the background hills or forest. 4. **Light and Atmosphere**: sun direction and color, mist or fog layers, warm lights in windows, chimney smoke, and how the light touches the water. 5. **Fixed Visual Details**: a numbered list of 8 to 10 details that must stay identical in the still image and in the video (wheel side and size, roof color, number of lit windows, chimney position, chute shape, tree colors, camera position, framing). 6. **Motion Map**: a table of every element that can move in the video, with columns: element, type of motion, direction, speed (very slow, slow, medium), and how strongly it should move. Include the camera move. Keep total motion subtle and physically plausible. 7. **Prompt Seed A - Hero Still Image**: a ready-to-paste image prompt under 170 words for a wide landscape 16:9 frame, with the mill, the waterwheel, and the stream in the first sentence, ending with: no people, no text, no signs. 8. **Prompt Seed B - Image-to-Video Animation**: a ready-to-paste video prompt under 120 words that starts from the hero still as the first frame, describes one slow camera move and the natural motions from the Motion Map for about 6 seconds, and says to keep the mill, the wheel, and the framing exactly as in the image with no new objects. Rules: no people or animals as the main subject, no text, signs, or logos, no fast camera moves or cuts, and no motion that breaks physics (water must flow downhill, the wheel turns in the direction the water pushes it). Use short paragraphs and lists.
Bauhaus-style modernist poster of five sailboats racing on a blue bay, built only from circles, triangles, and rectangles: primary red, yellow, and black sails, banded cobalt sea, a big red-orange sun, a white pier, and off-white paper with screen-print grain.
Five sailboats with bold triangular sails race across a calm blue bay toward a small harbor pier, drawn as a Bauhaus-style geometric poster built only from circles, triangles, rectangles, and straight lines. The sails are flat primary red, yellow, and black triangles, the hulls are slim black and white trapezoids, and a large red-orange sun circle sits low on the right above the horizon. The sea is layered horizontal bands of cobalt, navy, and pale blue, with small white semicircles for waves, and a few thin diagonal lines suggest wind. A simple white pier of stacked rectangles extends from the left edge, with a round black buoy in the foreground. Off-white textured paper background, crisp hard edges, flat colors with no gradients, subtle screen-print grain and slight ink misregistration, strong asymmetric balance and generous negative space in the sky. Modernist 1920s design spirit, clean and joyful. Wide landscape 16:9. No people, no text, no letters, no numbers, no logos.
Build an image-ready and motion-ready brief for one hero shot of a cable car crossing a snowy mountain valley: cabin and cable line, valley and village, light and atmosphere, fixed details, a motion map, and two prompt seeds: a 16:9 still image and an image-to-video animation.
Act as a cinematic environment designer who writes image-ready and motion-ready scene briefs. Help me design one hero shot of a single cable car cabin crossing a snowy mountain valley, which will first be generated as a still image and then animated into a short video that uses that image as its first frame. Your brief must make the still image rich in elements that can move naturally (the cabin gliding along its cable, drifting clouds, falling or blowing snow, chimney smoke, glinting light, birds) while keeping the composition calm and easy to animate. My starting choices: - Mountain region and landscape: Alpine valley with a small village and pine forest - Season and time of day: winter sunrise - Cabin type and color: small vintage red aerial tram cabin with large windows - Visual style: photoreal travel photography - Mood words: crisp, quiet, golden, airy First ask me, in one short message, for anything missing: the camera viewpoint I prefer (from a ridge looking across the valley, from below looking up at the cabin, or level with the cabin from a nearby slope), whether the valley station or the mountain station should be visible, and anything to avoid (people, skiers, logos, signs, ski lifts, modern buildings). Then produce the brief with these sections: 1. **Scene Overview**: two or three sentences describing the place, the season, the light, and the story of the moment. 2. **Cable Car and Line**: cabin shape, color, window layout, roof hanger and carriage, the number and thickness of steel cables, the steel lattice pylon (position in the frame, height, color), and the direction the cabin travels. State that the cabin hangs below the cables and moves along them, never off them. 3. **Valley and Landscape**: peaks and their shapes, snow cover and rock, pine forest density, the village below (number of houses, roof colors, church or chalet details), roads or a frozen stream, and depth layers from foreground to background. 4. **Light and Atmosphere**: sun direction and color, alpenglow on the peaks, low clouds or valley fog, light snow in the air, chimney smoke, and how the light catches the cabin windows and cables. 5. **Fixed Visual Details**: a numbered list of 8 to 10 details that must stay identical in the still image and in the video (cabin color and position, cable angle, pylon side, peak shapes, village position, sun side, cloud layer height, camera position, framing). 6. **Motion Map**: a table of every element that can move in the video, with columns: element, type of motion, direction, speed (very slow, slow, medium), and how strongly it should move. Include the camera move. Keep total motion subtle and physically plausible. 7. **Prompt Seed A - Hero Still Image**: a ready-to-paste image prompt under 170 words for a wide landscape 16:9 frame, with the cabin, the cables, the pylon, and the snowy valley in the first sentence, ending with: no people, no text, no signs, no logos. 8. **Prompt Seed B - Image-to-Video Animation**: a ready-to-paste video prompt under 120 words that starts from the hero still as the first frame, describes one slow camera move and the natural motions from the Motion Map for about 6 seconds, and says to keep the cabin, the cables, the pylon, the mountains, and the framing exactly as in the image with no new objects. Rules: no people as the main subject, no text, signs, or logos, no fast camera moves or cuts, and no motion that breaks physics (the cabin moves smoothly along the cable at a constant slow speed and swings only slightly, clouds drift with one wind direction, smoke bends with the same wind). Use short paragraphs and lists.
Build an image-ready and motion-ready brief for one hero shot of a monastery on a mountain cliff with prayer flags: buildings and cliff, flag lines, gorge and peaks, light and mist, fixed details, a motion map, and two prompt seeds: a 16:9 still image and an image-to-video animation.
Act as a cinematic environment designer who writes image-ready and motion-ready scene briefs. Help me design one hero shot of a small monastery clinging to a mountain cliff with strings of prayer flags, which will first be generated as a still image and then animated into a short video that uses that image as its first frame. Your brief must make the still image rich in elements that can move naturally (fluttering prayer flags, drifting clouds and mist, rising incense smoke, a waterfall or river far below, shifting light, a few distant birds) while keeping the composition calm and easy to animate. My starting choices: - Mountain setting: Himalayan gorge with a river far below and snow peaks behind - Time of day and weather: misty dawn after a clear night - Monastery look: small whitewashed buildings with red-brown upper walls, dark roofs, and gold roof ornaments - Visual style: photoreal travel and landscape photography - Mood words: serene, airy, sacred, quiet First ask me, in one short message, for anything missing: the camera viewpoint I prefer (from a facing ridge across the gorge, from a trail below looking up, or from a ledge level with the monastery), how much of the river and gorge floor should show, and anything to avoid (people, monks, tourists, signs, modern buildings, cables, a specific real monastery). Then produce the brief with these sections: 1. **Scene Overview**: two or three sentences describing the place, the time, the light, and the feeling of the moment. Describe an imagined monastery, not a copy of a real, named one. 2. **Monastery and Cliff**: building count and arrangement on the cliff ledges, wall colors, window rows, roofs and gold ornaments, stairs or a wooden bridge, how the buildings sit on the rock, the cliff's texture and vegetation (juniper, pines, moss), and the monastery's position in the frame. 3. **Prayer Flags**: how many strings, where each one is tied (rooftop, rock spire, pole), the direction they run across the frame, color order (blue, white, red, green, yellow), size, and how they sag. State that the flags move with the wind but their tie points never move. 4. **Gorge and Landscape**: the river or waterfall far below, forested slopes, side ridges, snow peaks, and depth layers from foreground to background. 5. **Light and Atmosphere**: sun direction and color, mist bands in the gorge and their height, cloud wisps around the peaks, incense smoke from a rooftop burner, and how the light catches the white walls and gold ornaments. 6. **Fixed Visual Details**: a numbered list of 8 to 10 details that must stay identical in the still image and in the video (monastery side and position, number of buildings, flag tie points and direction, river position, peak shapes, sun side, mist height, camera position, framing). 7. **Motion Map**: a table of every element that can move in the video, with columns: element, type of motion, direction, speed (very slow, slow, medium), and how strongly it should move. Include the camera move. Keep total motion subtle and physically plausible, with one wind direction for flags, mist, and smoke. 8. **Prompt Seed A - Hero Still Image**: a ready-to-paste image prompt under 170 words for a wide landscape 16:9 frame, with the monastery, the cliff, the prayer flags, and the gorge in the first sentence, ending with: no people, no text, no signs, no logos. 9. **Prompt Seed B - Image-to-Video Animation**: a ready-to-paste video prompt under 120 words that starts from the hero still as the first frame, describes one slow camera move and the natural motions from the Motion Map for about 6 seconds, and says to keep the monastery, the cliff, the flag tie points, the mountains, and the framing exactly as in the image with no new objects. Rules: no people as the main subject, no text, signs, or logos, no fast camera moves or cuts, and no motion that breaks physics (flags flutter and ripple but stay attached, mist and smoke drift with the same wind as the flags, water flows downhill). Use short paragraphs and lists.