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A futuristic image of a clock with the words wzv on it

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= 0
  # 假设u_n-1为0,可根据实际情况修改
    u = u + 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")
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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= 0   # 假设u_n-1为0,可根据实际情况修改     u = u + 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")

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P
pang ping
Prompts
Copier les Paramètres
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= 0   # 假设u_n-1为0 , 可根据实际情况修改     u = u + 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")
Info
Prompts
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= 0   # 假设u_n-1为0,可根据实际情况修改     u = u + 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")
Prompts Négatives
(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))
Échelle CFG
5
Étapes
30
Échantillonneur
DPM++ 2M Karras
Graine Aléatoire
-1
Clip Skip
Dimension de l'Image
2048 X 2048
Intensité de Repaint
0.2
Modèle
ReV Animated
Créer
Taille
2048X2048
Date
Jul 5, 2023
Mode
Par Défaut
Type
upscale
Checkpoint & LoRA
ReV Animated
Checkpoint
ReV Animated
#Portrait
#Jeu
#Réalisme
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