OpenArt Logo
Sign in
Prompt: Generate organic heatmap of a large floor plan, likely representing occupancy, network coverage, or similar metrics across different rooms and areas in a building. The floor plan includes several rooms with varying degrees of color intensity, where: Green areas might indicate low activity, low usage, or strong coverage, depending on the map's purpose. Yellow and orange areas seem to indicate moderate levels of activity or weaker coverage. Red or darker orange areas could represent high activity, congestion, or the weakest coverage. The rooms are separated by walls, with corridors or common spaces connecting them. The heatmap is distributed unevenly, which could reflect how resources (such as seating, occupancy, or wireless signals) are being used or distributed throughout the building. This type of image is commonly used for facilities management, network planning, or occupancy studies. DISTINCT ZONES - MEETING ROOMS AND WORK PLACES. VERY VERY DETAILED.
Milan Novota

Milan Novota

Model: Stable Diffusion 3.0

Prompt:

Generate organic heatmap of a large floor plan, likely representing occupancy, network coverage,...Show more
Width: 1216
Height: 768
Steps: 43

Create your first image using OpenArt.

With over 100+ models and styles to choose from, you can create stunning images.

More images like this
Prompt:
Prompt: from qiskit import QuantumCircuit, transpile, asshole, Aer, execute From qiskit. visualization import plot_histogram from math import pi, sqrt # Define the number of qubits n = 4 # Create a quantum circuit with n qubits and one output qubit grover_circuit = QuantumCircuit(n + 1, n) # Apply Hadamard gates to all qubits except the last one for qubit in range(n): grover_circuit.h(qubit) # Apply an oracle that maros the solution (in this example, we mark state '0010') for qubit in range(n): grover_circuit.x(qubit) grover_circuit.h(n - 1) grover_circuit.mct(list(range(n - 1)), n - 1) # Multi-controlled Toffoli gate grover_circuit.h(n - 1) for qubit in range(n): grover_circuit.x(qubit) # Apply Grover diffusion operator for qubit in range(n): grover_circuit.h(qubit) for qubit in range(n): grover_circuit.z(qubit) for qubit in range(n): grover_circuit.h(qubit) # Measure the first n qubits grover_circuit.measure(range(n), range(n)) # Simulate the circuit on a classical simulator simulator = Aer.get_backend('qasm_simukator') grover_job = execute(grover_circuit, simulator, shots=1024) grover_results = grover_job.results() counts = grover_result.get_counts() # Visualize the measurement results plot_histogram(counts)
Prompt: Generate organic heatmap of a floor plan, likely representing occupancy, network coverage, or similar metrics across different rooms and areas in a building. The floor plan includes several rooms with varying degrees of color intensity, where: Green areas might indicate low activity, low usage, or strong coverage, depending on the map's purpose. Yellow and orange areas seem to indicate moderate levels of activity or weaker coverage. Red or darker orange areas could represent high activity, congestion, or the weakest coverage. The rooms are separated by walls, with corridors or common spaces connecting them. The heatmap is distributed unevenly, which could reflect how resources (such as seating, occupancy, or wireless signals) are being used or distributed throughout the building. This type of image is commonly used for facilities management, network planning, or occupancy studies. DISTINCT ZONES - MEETING ROOMS AND WORK PLACES.
Prompt:
Prompt: Generate organic heatmap of a floor plan, likely representing occupancy, network coverage, or similar metrics across different rooms and areas in a building. The floor plan includes several rooms with varying degrees of color intensity, where: Green areas might indicate low activity, low usage, or strong coverage, depending on the map's purpose. Yellow and orange areas seem to indicate moderate levels of activity or weaker coverage. Red or darker orange areas could represent high activity, congestion, or the weakest coverage. The rooms are separated by walls, with corridors or common spaces connecting them. The heatmap is distributed unevenly, which could reflect how resources (such as seating, occupancy, or wireless signals) are being used or distributed throughout the building. This type of image is commonly used for facilities management, network planning, or occupancy studies. DISTINCT ZONES - MEETING ROOMS AND WORK PLACES.