好的，以下是根据你的需求为你生成的文章：
我们可以使用 Python 标准库中的 random 模块来生成随机数。以下是一个简单的例子，它将生成一个包含 1 到 100 之间的随机整数的列表：
import random
# 生成 1 到 100 之间的随机整数的列表
random_list = [random.randint(1, 100) for _ in range(100)]
# 打印随机整数的列表
print(random_list)
这段代码使用了列表推导式，它会生成一个长度为 100 的列表，其中每个元素都是 1 到 100 之间的随机整数。random.randint(1, 100) 会返回一个随机的整数，范围在 1 到 100 之间，包括 1 和 100。
希望这段代码能够满足你的需求！如果你还有其他问题，请随时提问。
--seed <integer between 0–4294967295> The Midjourney bot uses a seed number to create a field of visual noise,like television static,as a starting point to generate the initial image grids.Seed numbers are generated randomly for each image but can be specified with the --seed or --sameseed parameter.Using the same seed number and prompt will produce similar ending images.Stop--stop <integer between 10–100> Use the --stop parameter to finish a Job partway through the process.Stopping a Job at an earlier percentage can create blurrier,less detailed results.Style--style <4a,4b or 4c> Switch between versions of the Midjourney Model Version 4Stylize--stylize <number>,or --s <number> parameter influences how strongly Midjourney's default aesthetic style is applied to Jobs.Uplight--uplight Use an alternative"light"upscaler when selecting the U buttons.The results are closer to the original grid image.The upscaled image is less detailed and smoother.Upbeta--upbeta Use an alternative beta upscaler when selecting the U buttons.The results are closer to the original grid image.The upscaled image has significantly fewer added details.Default Values(Model Version 5)Aspect Ratio Chaos Quality Seed Stop StylizeDefault Value1:1 0 1 Random 100 100Rangeany 0–100.25.5,or 1 whole numbers 0–4294967295 10–100 0–1000Aspect ratios greater than 2:1 are experimental and may produce unpredicatble results.CompatibilityModel Version & Parameter CompatabilityAffects initial generation Affects variations + remix Version 5 Version 4 Version 3 Test / Testp NijiMax Aspect Ratio ✓ ✓ any 1:2 or 2:1 5:2 or 2:5 3:2 or 2:3 1:2 or 2:1Chaos ✓ ✓ ✓ ✓ ✓ ✓Image Weight ✓ ✓ ✓ ✓
--quality <.25,.5,1,or 2>,or --q <.25,.5,1,or 2> How much rendering quality time you want to spend.The default value is 1.Higher values cost more and lower values cost less.Seed--seed <integer between 0–4294967295> The Midjourney bot uses a seed number to create a field of visual noise,like television static,as a starting point to generate the initial image grids.Seed numbers are generated randomly for each image but can be specified with the --seed or --sameseed parameter.Using the same seed number and prompt will produce similar ending images.Stop--stop <integer between 10–100> Use the --stop parameter to finish a Job partway through the process.Stopping a Job at an earlier percentage can create blurrier,less detailed results.Style--style <4a,4b or 4c> Switch between versions of the Midjourney Model Version 4Stylize--stylize <number>,or --s <number> parameter influences how strongly Midjourney's default aesthetic style is applied to Jobs.Uplight--uplight Use an alternative"light"upscaler when selecting the U buttons.The results are closer to the original grid image.The upscaled image is less detailed and smoother.Upbeta--upbeta Use an alternative beta upscaler when selecting the U buttons.The results are closer to the original grid image.The upscaled image has significantly fewer added details.Default Values(Model Version 5)Aspect Ratio Chaos Quality Seed Stop StylizeDefault Value1:1 0 1 Random 100 100Rangeany 0–100.25.5,or 1 whole numbers 0–4294967295 10–100 0–1000Aspect ratios greater than 2:1 are experimental and may produce unpredicatble results.CompatibilityModel Version & Parameter CompatabilityAffects initial generation Affects variations + remix Version 5 Version 4 Version 3 Test / Testp Niji
响应中注入的随机性数量●默认为1，范围从0到1●温度设定为0的时候，通常能在多次使用相同提示的实验中产生更加一致的结果对于分析性任务/有很多选项的任务，使用接近0的温度；对于创造性和生成性任务，使用接近1的温度Guide to API parametersLengthRandomness & diversitytemperature● Amount of randomness injected into the response● Defaults to 1,ranges from 0 to 1● Temperature 0 will generally yield much more consistent results over repeated trialsusing the same promptUse temp closer to 0 for analytical / multiple choice tasks,andcloser to 1 for creative and generative tasksAPI参数指南长度随机性与多样性top_p●使用nucleus sampling：●对每个后续token的所有选项以递减概率顺序计算累积分布,一旦达到由top_p指定的特定概率就切断top_k●对于每个要接龙的token，仅从前K个选项中进行采样●用于消除“长尾”低概率响应。在这里了解更多最好是调整温度或top_p中的一个，而不是同时把这两个都调了（建议多用温度，少用top_p）@未来力场总结注释（欢迎指正）:Top_p和Top_k都是用于控制文本生成的采样策略,可以生成更加连贯和可读的文本。Top p通过设置累积概率阈值来采样高概率词汇,去除低概率的“长尾部”。Top K直接仅从前K个最可能的词中采样,也可以起到消除低概率词的作用。