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Ali Moradi

Ali Moradi

Model: OpenArt SDXL

Prompt:

a city, one road, big building, 4 car in road
Width: 1024
Height: 1024
Scale: 7
Steps: 25
Seed: 932418387
Sampler: DPM++ 2M SDE Karras

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Prompt: Imagine capturing the moment just as the sun begins to rise over Tokyo. The photo is taken from a high vantage point, like the Tokyo Tower or Skytree, providing a breathtaking view of the sprawling city below. The sky is a gradient of colors, transitioning from deep blue at the top, through shades of purple and pink, to a warm orange near the horizon where the sun is just beginning to peek through.

The sunlight casts a golden hue over the city's skyscrapers, creating long shadows and highlighting the architectural diversity of Tokyo. In the foreground, you can see the distinctive shapes of modern high-rises, some with sleek, glass facades reflecting the early morning light, while others display more traditional designs with rooftops that hint at the fusion of old and new.

Farther into the distance, the city's expanse stretches out, with clusters of buildings fading into the soft morning mist, giving a sense of the city's vastness. The streets below are just beginning to stir with the early morning traffic, tiny dots of cars and people adding life to the scene.

The overall mood of the photo is serene and hopeful, capturing the quiet beauty of Tokyo before the hustle and bustle of the day fully begins. The combination of natural light and the urban landscape creates a powerful image of a city awakening, full of possibilities and energy.
Prompt: infinite rush hour traffic post apocalyptic city
Prompt: a city
Prompt: a city
Prompt: rush hour traffic pileup disaster in venusian skyscraper city
Prompt: A busy city street with cars passing by
Prompt: IDEA
An intelligence team working with computers, AI, and trained people on internal state security. 

REQUIREMENTS
• City by city central intelligence base, all communicating with the state central, on a private secure network. Can be extended Nationally and internationally. 

• CCTV. Pinhole style cameras? For disguise these could be installed on solar powered street lights. Working with an AI backend system trained to log faces and match/identify from ID/NIN database. Like how self driving cars recognize road signs etc. It identifies people by cross referencing faces against the database. Heat sensors can be included and heat maps can help detect if “face is a mask or not". 

Differnet helpful security Algorithms can be trained. E.g to notice congregational patterns of people, other patterns. 

Notice taken when people/groups that have adopted a patern move out of their regular patterns. 

Strangers and new faces can be identified. Either new to the entire system (like traveller’s) or a locality (somewhere they don’t frequent). 

AI generates reports based off terms of operation (smart contracts with the bots). 

These reports are what it gives intelligence officer with recommended action path. Trained officers can use with human discretion and take a different action path. They can also ignore when to act in not compulsory. 

Officer decisions and reason should be logged to help train the system and help technical support teams design improved and/or new algorithms for increased effectiveness. The CI system in turn would make more accurate and precise recommendations. 

Intelligence officer can also query(request from the) system for specific type of data. Statistical or others. 

Toluwani Toyin-Kehinde.
Prompt: Metropolitan city with an intense traffic and polluted sky