Omair Saleh
3a6ec55a68
PERSONA OVERHAUL: - Personas now defined by WHAT THEY DID, not job titles - 'Charity Manager' -> 'You organized the dinner' - 'Personal Fundraiser' -> 'You shared the link' - 'Volunteer' -> 'You were on the ground' - 'Organisation/Programme Manager' -> 'You claim the Gift Aid' SECTION HEADING: - Brand core insight: 'People don't break promises. Systems do.' - Eyebrow: 'THE PLEDGE GAP' - Sub: 'We built the missing system between I'll donate and the money arriving.' PAIN STATS (visual anchors): - £50,000 pledged / £22,000 collected (the gap) - 23 said I'll donate / 8 actually did - 40 pledges collected / 0 updates received - 200 rows, 47 typos / 6 hours every quarter COPY: Emotionally precise, tells each persona's specific story PHOTOGRAPHY (4 cinematic moment shots): - Dinner aftermath: empty table with lone pledge card, chandeliers - Phone: hands on WhatsApp at kitchen table, warm light - Volunteer: seen from behind, walking between gala tables with cards - Desk still life: laptop spreadsheet, papers, tea, window light - All 2:1 wide aspect, 2.7MB -> 260KB optimized
85 lines
4.3 KiB
Python
85 lines
4.3 KiB
Python
"""Generate 4 cinematic persona images — moment shots, not portraits.
|
|
Wide 2:1 aspect ratio for editorial strip layout.
|
|
"""
|
|
import os, time
|
|
from concurrent.futures import ThreadPoolExecutor, as_completed
|
|
from google import genai
|
|
from google.genai import types
|
|
|
|
client = genai.Client(api_key="AIzaSyCHnesXLjPw-UgeZaQotut66bgjFdvy12E")
|
|
OUT = "pledge-now-pay-later/public/images/landing"
|
|
|
|
PROMPTS = {
|
|
"persona-01-dinner.jpg": (
|
|
"End of a charity fundraising dinner. A round banquet table, white tablecloth slightly rumpled. "
|
|
"A single small pledge card sits slightly askew on the tablecloth near an empty water glass. "
|
|
"Chairs pushed back. Warm tungsten chandelier light creates golden glow. A few guests leaving "
|
|
"in the far background, blurred. Crumpled napkin. The generosity happened here, but the table "
|
|
"is emptying. Cinematic wide shot, melancholy but beautiful. No one looking at camera. "
|
|
"Shot on Leica Q2, 28mm, f/1.7, available light. Portra-like color rendering. "
|
|
"2:1 landscape aspect ratio."
|
|
),
|
|
"persona-02-phone.jpg": (
|
|
"Close-up of a British South Asian woman's hands holding a smartphone above a wooden kitchen table. "
|
|
"The phone screen shows a messaging app with a green chat bubble. Warm afternoon window light "
|
|
"from the left illuminates the scene. Shallow depth of field - the rest of the table (a mug, "
|
|
"a notebook) is softly blurred. Her sleeves are pushed up casually. Intimate, everyday, relatable. "
|
|
"Not looking at camera - we only see hands and phone. "
|
|
"Shot on Sony A7III, 55mm, f/1.4, natural light. Warm, honest. "
|
|
"2:1 landscape aspect ratio."
|
|
),
|
|
"persona-03-volunteer.jpg": (
|
|
"A young British South Asian man with a lanyard and dark polo shirt, seen from behind and slightly "
|
|
"to the side, walking between round dinner tables at a charity gala. He carries a small stack of "
|
|
"cards in one hand. Seated guests in smart dress at the white-clothed tables. Warm golden gala "
|
|
"lighting, crystal chandelier bokeh in the upper background. The volunteer is in motion, purposeful. "
|
|
"Not looking at camera. Other volunteers visible but blurred. Energy, purpose, youth. "
|
|
"Shot on Canon EOS R5, 35mm, f/1.8, available light. Documentary candid event photography. "
|
|
"2:1 landscape aspect ratio."
|
|
),
|
|
"persona-04-desk.jpg": (
|
|
"A clean wooden desk photographed from a 45-degree overhead angle. An open laptop shows a "
|
|
"spreadsheet with organized rows and a green progress indicator. Beside the laptop: a neat stack "
|
|
"of printed A4 papers with a black binder clip, a fine-point pen, and a ceramic mug of tea. "
|
|
"Soft morning window light from the left creates gentle shadows. No person visible - just the "
|
|
"workspace. Everything is orderly, calm, under control. Documentary still life. "
|
|
"Shot on Fujifilm GFX 50S, 63mm, f/4.0, natural light. Calm, precise. "
|
|
"2:1 landscape aspect ratio."
|
|
),
|
|
}
|
|
|
|
def generate(filename, prompt):
|
|
t0 = time.time()
|
|
print(f" [GEN] {filename}...")
|
|
try:
|
|
resp = client.models.generate_content(
|
|
model="gemini-3-pro-image-preview",
|
|
contents=prompt,
|
|
config=types.GenerateContentConfig(
|
|
response_modalities=["TEXT", "IMAGE"],
|
|
),
|
|
)
|
|
for part in resp.candidates[0].content.parts:
|
|
if part.inline_data:
|
|
path = os.path.join(OUT, filename)
|
|
with open(path, "wb") as f:
|
|
f.write(part.inline_data.data)
|
|
sz = os.path.getsize(path) / 1024
|
|
print(f" [OK] {filename} -- {sz:.0f}KB ({time.time()-t0:.1f}s)")
|
|
return filename, True
|
|
print(f" [FAIL] {filename} -- no image in response")
|
|
return filename, False
|
|
except Exception as e:
|
|
print(f" [FAIL] {filename} -- {e}")
|
|
return filename, False
|
|
|
|
if __name__ == "__main__":
|
|
print(f"Generating {len(PROMPTS)} cinematic persona images...")
|
|
ok = 0
|
|
with ThreadPoolExecutor(max_workers=2) as pool:
|
|
futures = {pool.submit(generate, fn, p): fn for fn, p in PROMPTS.items()}
|
|
for f in as_completed(futures):
|
|
_, success = f.result()
|
|
if success: ok += 1
|
|
print(f"\nDone: {ok}/{len(PROMPTS)} ok")
|