AI Advertising Banner Generation
AI banner generation automates creation of advertising materials for contextual ads, targeting, media placements. One asset set → hundreds of formats and variations in minutes instead of hours.
Banner Generation Stack
from PIL import Image, ImageDraw, ImageFont
import io
class BannerGenerator:
STANDARD_SIZES = {
# Yandex.Direct
"yandex_240x400": (240, 400),
"yandex_300x250": (300, 250),
# Google Ads
"google_300x250": (300, 250),
"google_970x250": (970, 250),
# VK
"vk_1080x607": (1080, 607),
# Telegram
"telegram_800x418": (800, 418),
}
def generate_banner_set(self, product_image: bytes, headline: str, subtext: str,
cta: str, brand_color: str) -> dict[str, bytes]:
results = {}
bg_prompt = f"abstract background, {brand_color} color scheme, modern minimalist, no text"
background = self.image_gen.generate(bg_prompt, width=1920, height=1080)
for size_name, (w, h) in self.STANDARD_SIZES.items():
banner = self.compose_banner(background, product_image, headline,
subtext, cta, brand_color, (w, h))
results[size_name] = banner
return results
A/B testing: generate headlines in 5+ variations per brand color. Text overlay with brand fonts, CTA button styling. Export to all major ad platforms (Yandex, Google, Facebook, VK, Telegram).
Timeline: setup + integration — 2 weeks. Full A/B testing + compliance (brand guidelines) — 3–4 weeks.