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A close up of a camera lens with a circular design

import numpy as np
import matplotlib.pyplot as plt 
from mpl_toolkits.mplot3d import Axes3D  
# 参数设置
n = 1
pi = np.pi  
# 时空坐标计算
def spacetime_coordinates(t):
    r = n / pi * t
    x = r * np.cos(t) * np.cos(t)
    y = r * np.sin(t) * np.cos(t)
    z = r * np.sin(t)
    w = r
    return x, y, z, w
  # 量子场与概率 
def quantum_field(t, m):
    u_n_minus_1 = 0
  # 假设u_n-1为0,可根据实际情况修改
    u = u_n_minus_1 + np.sin(t + m)
    return u
  # 概率分布 
def probability_distribution():
    m_values = [0, 1 / 2 * pi, pi, 3 / 2 * pi]
    probabilities = [0.125, 0.125, 0.125, 0.125, 0.5]
    m = np.random.choice(m_values + [0], p=probabilities)
    return m
  # 计算时空坐标和量子场值
    t_values = np.linspace(0, 2 * pi, 100)
    coordinates = [spacetime_coordinates(t) for t in t_values]
    quantum_fields = [quantum_field(t, probability_distribution()) for t in t_values]
  # 绘制3D曲面 def plot_3d_surface(w_value):
    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')
    x_values = []
    y_values = []
    z_values = []
    u_values = []
    for coord, field in zip(coordinates, quantum_fields):
             x, y, z, w = coord
    if w == w_value:
             x_values.append(x)
             y_values.append(y)
             z_values.append(z)
             u_values.append(field)
             ax.scatter(x_values, y_values, z_values, c=u_values, cmap='viridis')
             ax.set_xlabel('X')
             ax.set_ylabel('Y')
             ax.set_zlabel('Z')
             ax.set_title(f'3D Surface for w = {w_value}')
             plt.show()
             plot_3d_surface(1)
             plot_3d_surface(100)
             input("Press any key to exit") --auto
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import numpy as np import matplotlib . pyplot as plt from mpl_toolkits . mplot3d import Axes3D # 参数设置 n = 1 pi = np . pi # 时空坐标计算 def spacetime_coordinates(t): r = n / pi * t x = r * np . cos(t) * np . cos(t) y = r * np . sin(t) * np . cos(t) z = r * np . sin(t) w = r return x , y , z , w # 量子场与概率 def quantum_field(t , m): u_n_minus_1 = 0 # 假设u_n-1为0 , 可根据实际情况修改 u = u_n_minus_1 + np . sin(t + m) return u # 概率分布 def probability_distribution(): m_values = [0 , 1 / 2 * pi , pi , 3 / 2 * pi] probabilities = [0 . 125 , 0 . 125 , 0 . 125 , 0 . 125 , 0 . 5] m = np . random . choice(m_values + [0] , p=probabilities) return m # 计算时空坐标和量子场值 t_values = np . linspace(0 , 2 * pi , 100) coordinates = [spacetime_coordinates(t) for t in t_values] quantum_fields = [quantum_field(t , probability_distribution()) for t in t_values] # 绘制3D曲面 def plot_3d_surface(w_value): fig = plt . figure() ax = fig . add_subplot(111 , projection='3d') x_values = [] y_values = [] z_values = [] u_values = [] for coord , field in zip(coordinates , quantum_fields): x , y , z , w = coord if w == w_value: x_values . append(x) y_values . append(y) z_values . append(z) u_values . append(field) ax . scatter(x_values , y_values , z_values , c=u_values , cmap='viridis') ax . set_xlabel('X') ax . set_ylabel('Y') ax . set_zlabel('Z') ax . set_title(f'3D Surface for w = {w_value}') plt . show() plot_3d_surface(1) plot_3d_surface(100) input("Press any key to exit") --auto
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import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # 参数设置 n = 1 pi = np.pi # 时空坐标计算 def spacetime_coordinates(t): r = n / pi * t x = r * np.cos(t) * np.cos(t) y = r * np.sin(t) * np.cos(t) z = r * np.sin(t) w = r return x, y, z, w # 量子场与概率 def quantum_field(t, m): u_n_minus_1 = 0 # 假设u_n-1为0,可根据实际情况修改 u = u_n_minus_1 + np.sin(t + m) return u # 概率分布 def probability_distribution(): m_values = [0, 1 / 2 * pi, pi, 3 / 2 * pi] probabilities = [0.125, 0.125, 0.125, 0.125, 0.5] m = np.random.choice(m_values + [0], p=probabilities) return m # 计算时空坐标和量子场值 t_values = np.linspace(0, 2 * pi, 100) coordinates = [spacetime_coordinates(t) for t in t_values] quantum_fields = [quantum_field(t, probability_distribution()) for t in t_values] # 绘制3D曲面 def plot_3d_surface(w_value): fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x_values = [] y_values = [] z_values = [] u_values = [] for coord, field in zip(coordinates, quantum_fields): x, y, z, w = coord if w == w_value: x_values.append(x) y_values.append(y) z_values.append(z) u_values.append(field) ax.scatter(x_values, y_values, z_values, c=u_values, cmap='viridis') ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Z') ax.set_title(f'3D Surface for w = {w_value}') plt.show() plot_3d_surface(1) plot_3d_surface(100) input("Press any key to exit") --auto
Negative Prompts
(nsfw:1.5),verybadimagenegative_v1.3, ng_deepnegative_v1_75t, (ugly face:0.8),cross-eyed,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, DeepNegative, facing away, tilted head, {Multiple people}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms,extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed,mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, extra arms, extra leg, extra foot, ((repeating hair))
CFG-Scale
5
Schritte
30
Sammler
DPM++ 2M Karras
Seed
-1
Clip Skip
Bildgröße
2048 X 2048
Entrauschungsstärke
0.2
Modell
ReV Animated
Erstellen
Größe
2048X2048
Datum
Jul 5, 2023
Modell
Standard
Typ
upscale
Checkpoint & LoRA
Checkpoint
ReV Animated
#Realismus
#Porträt
#Zusammenfassung
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