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The "Tarih-olay- Görsel oluşturma" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 299 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.

Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 299 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution

Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.

Prompt Template
{
  "meta": {
    "model": "nano-banana-pro",
    "mode": "thinking",
    "use_search_grounding": true,
    "language": "tr"
  },
  "input": {
    "location": "${Location: Location}",
    "date": "${Date: YYYY-MM-DD}",
    "aspectRatio": "${Aspect Ratio: 16:9 | 4:3 | 1:1 | 9:16}",
    "timeOfDay": "${Time of the Day}",
    "mood": "${Mood: epic | solemn | celebratory | tense | melancholic}"
  },
  "prompt": {
    "positive": "Konum: ${Location: Location}\nTarih: ${Date: YYYY-MM-DD}\n\nÖnce güvenilir kaynaklarla arama yap ve bu tarihte bu konumda gerçekleşen en önemli tarihsel olayı belirle. Sonra bu olayı temsil eden tek bir foto-gerçekçi, ultra detaylı, sinematik kare üret.\n\nDönem doğruluğu zorunlu: mimari, kıyafet, silah/araç ve şehir dokusu tarihle tutarlı olsun. Modern hiçbir obje, bina, araç veya tabela görünmesin. Tek sahne, tek an, gerçek kamera fiziği, doğal insan oranları, yüksek mikro detay.",
    "negative": "modern buildings, cars, asphalt, neon, smartphones, wrong era clothing/armor, fantasy, anime, cartoon, text overlay, blurry, low-res, extra limbs"
  },
  "render": {
    "quality": "ultra",
    "resolution": "4k"
  },
  "name": "My Workflow",
  "steps": []
}