Loratraining2617621-202609150651446401 Z1os, Ultra Cinematic...
Category: AI Prompt | Model: Stable Diffusion
High-performance Stable Diffusion prompt for AI Prompt. Optimized for creating professional output with Loratraining2617621-202609150651446401 Z1os, Ultra Cinematic....

Prompt Text
<lora:training_2617621-20260915065144640:1> z1os, ultra cinematic. Wide modern Sakura Stop checkout and hot-food counter, bright white ceiling lights, multiple self-checkout terminals, candy and small-item displays, heated glass food case on the right, coffee and prepared-food advertising, white and pink cherry blossom branding, no people. Prominent readable text and placement: the huge illuminated fascia across the upper right reads "Sakura Stop" with "いつもの、ちょっと幸せ" beneath. At upper left a black hanging sign reads "セルフレジ" and "お会計はこちら". The three overhead advertising screens read "淹れたての、しあわせ。", "今日も、おいしい一日を", and "おにぎりで、ほっとする。". A pink counter sign near left-center reads "小さな幸せ、いつもそばに". A payment sign near center-right reads "スマホでかんたん お支払い". Above the heated food case at upper right, the brown sign reads "あったか、ほっとするおいしさ". The hot-food labels inside the case read "からあげ 180円", "コロッケ 150円", "メンチカツ 160円", "肉まん 140円", "ピザまん 160円", "あんまん 140円", "フランクフルト 180円", "たこ焼き 380円", and "焼き鳥 180円". "Sakura Stop" appears on the checkout counter front and on the hot-food case. The pink dessert poster at lower center-right reads "甘いひとときで、ちょっと休憩。". The white eco poster at lower right reads "地球にやさしい未来のために".
Recommended AI Settings & Parameters
- Recommended Engine: Stable Diffusion
- Quality: High Definition
- Format: Standard Output
Frequently Asked Questions & Answer Engine Direct Knowledge
How do I use the 'Loratraining2617621-202609150651446401 Z1os, Ultra Cinematic...' prompt?
Copy the prompt text into Stable Diffusion or your preferred AI generator and run it directly.
What AI models support this prompt?
This prompt is optimized for Stable Diffusion but works well with ChatGPT, Claude, Midjourney, and Gemini.
Can I customize this prompt?
Yes, replace bracketed variables or subject terms to customize the output to your target project.