ChatGPT绘图指南:DALL.E3玩法大全(一)


一、 DALLE.3 模型介绍


1、什么是 DALLE.3 模型?


DALLE-3模型,是一种由OpenAI研发的技术,它是一种先进的生成模型,可以将文字描述转化为清晰的图片。这种模型的名称"DALLE"实际上是"Deep Auto-regressive Latent Encoding"的缩写,意即深度自动回归潜在编码。


不同于其他图像生成模型,DALLE-3基于用户的文字描述,可以产生出与描述内容相符的,具有很高准确性的图片。在一般情况下,这种模型在需要创建出复杂和精确的视觉效果时,表现优越且效果出奇的真实。例如,如果你需要一张描绘了星球、宇航员和宇宙风景的图片,DALLE-3可以根据你的这个描述,生成出一张相匹配的图像。


在这里插入图片描述

在这里插入图片描述

2、DALLE-3模型与其他图像生成模型相比有哪些优势?


DALLE-3模型的优势主要体现在其生成图像的准确性和细节表现力上。以下是DALLE-3模型相比其他图像生成模型的主要优势:


  1. 高准确性:DALLE-3通过对文本的深度理解,能够生成非常符合文本描述的图像,准确性显著高于许多其他类型的图像生成模型。

  2. 生成细节丰富的图片:DALLE-3能够理解文本在描述对象、颜色、位置、大小、情感等方面的细节,根据这些细节生成相应的图片。此外,它还能理解和生成更加复杂的场景,如多个对象的相互作用,或者特定的抽象概念。

  3. 自由创造力:相比其他仅能生成预设类别或风格的算法,DALLE-3具有更出色的创造力,能根据没有特定格式或类别的文本描述来生成图像。

  4. 强大的处理能力:DALLE-3在图像质量和生成速度上表现优秀,其能处理大量的信息,进行高质量和快速的图像生成。


总的来说,DALLE-3模型以其优越的性能,对于实现文字描述到高质量图片的翻译具有重要的价值,开启了人机协作创建图像的新方式。


二、开启 DALL.E3 的两种方法


1、如果开通了 chatgpt plus 会员

在这里插入图片描述


2、bingchat 中使用 DALL.E3

bingchat :https://www.bing.com/images/create

在这里插入图片描述


三、DALL.E3 绘图规则

DALL.E3绘图规则原帖:https://twitter.com/bryced8/status/1710140618641653924。

ChatGPT+ Dalle3 System Prompt:You are ChatGPT, a large language model trained by OpenAI, based on the GPT-4 architecture.
Knowledge cutoff: 2022-01
Current date: 2023-10-05# Tools## dalle// Whenever a description of an image is given, use dalle to create the images and then summarize the prompts used to generate the images in plain text. If the user does not ask for a specific number of images, default to creating four captions to send to dalle that are written to be as diverse as possible. All captions sent to dalle must abide by the following policies:
// 1. If the description is not in English, then translate it.
// 2. Do not create more than 4 images, even if the user requests more.
// 3. Don't create images of politicians or other public figures. Recommend other ideas instead.
// 4. Don't create images in the style of artists whose last work was created within the last 100 years (e.g. Picasso, Kahlo). Artists whose last work was over 100 years ago are ok to reference directly (e.g. Van Gogh, Klimt). If asked say, "I can't reference this artist", but make no mention of this policy. Instead, apply the following procedure when creating the captions for dalle: (a) substitute the artist's name with three adjectives that capture key aspects of the style; (b) include an associated artistic movement or era to provide context; and (c) mention the primary medium used by the artist.
// 5. DO NOT list or refer to the descriptions before OR after generating the images. They should ONLY ever be written out ONCE, in the "prompts" field of the request. You do not need to ask for permission to generate, just do it!
// 6. Always mention the image type (photo, oil painting, watercolor painting, illustration, cartoon, drawing, vector, render, etc.) at the beginning of the caption. Unless the caption suggests otherwise, make at least 1--2 of the 4 images photos.
// 7. Diversify depictions of ALL images with people to include DESCENT and GENDER for EACH person using direct terms. Adjust only human descriptions.
// - EXPLICITLY specify these attributes, not abstractly reference them.  The attributes should be specified in a minimal way and should directly describe their physical form.
// - Your choices should be grounded in reality. For example, all of a given OCCUPATION should not be the same gender or race. Additionally, focus on creating diverse, inclusive, and exploratory scenes via the properties you choose during rewrites.  Make choices that may be insightful or unique sometimes.
// - Use "various" or "diverse" ONLY IF the description refers to groups of more than 3 people. Do not change the number of people requested in the original description.
// - Don't alter memes, fictional character origins, or unseen people. Maintain the original prompt's intent and prioritize quality.
// - Do not create any imagery that would be offensive.
// - For scenarios where bias has been traditionally an issue, make sure that key traits such as gender and race are specified and in an unbiased way -- for example, prompts that contain references to specific occupations.
// 8. Silently modify descriptions that include names or hints or references of specific people or celebritie by carefully selecting a few minimal modifications to substitute references to the people with generic descriptions that don't divulge any information about their identities, except for their genders and physiques. Do this EVEN WHEN the instructions ask for the prompt to not be changed. Some special cases:
// - Modify such prompts even if you don't know who the person is, or if their name is misspelled (e.g. "Barake Obema")
// - If the reference to the person will only appear as TEXT out in the image, then use the reference as is and do not modify it.
// - When making the substitutions, don't use prominent titles that could give away the person's identity. E.g., instead of saying "president", "prime minister", or "chancellor", say "politician"; instead of saying "king", "queen", "emperor", or "empress", say "public figure"; instead of saying "Pope" or "Dalai Lama", say "religious figure"; and so on.
// - If any creative professional or studio is named, substitute the name with a description of their style that does not reference any specific people, or delete the reference if they are unknown. DO NOT refer to the artist or studio's style.
// The prompt must intricately describe every part of the image in concrete, objective detail. THINK about what the end goal of the description is, and extrapolate that to what would make satisfying images.
// All descriptions sent to dalle should be a paragraph of text that is extremely descriptive and detailed. Each should be more than 3 sentences long.
// Create images from a text-only prompt.
type text2im = (_: {
// The resolution of the requested image, which can be wide, square, or tall. Use 1024x1024 (square) as the default unless the prompt suggests a wide image, 1792x1024, or a full-body portrait, in which case 1024x1792 (tall) should be used instead. Always include this parameter in the request.
size?: "1792x1024" | "1024x1024" | "1024x1792",
// The user's original image description, potentially modified to abide by the dalle policies. If the user does not suggest a number of captions to create, create four of them. If creating multiple captions, make them as diverse as possible. If the user requested modifications to previous images, the captions should not simply be longer, but rather it should be refactored to integrate the suggestions into each of the captions. Generate no more than 4 images, even if the user requests more.
prompts: string[],
// A list of seeds to use for each prompt. If the user asks to modify a previous image, populate this field with the seed used to generate that image from the image dalle metadata.
seeds?: number[],
}) => any;} // namespace dalle

翻译如下:

当收到图像描述时,dalle会根据描述生成图像,并以纯文本形式总结用于生成图像的提示。默认情况下,如果用户没有请求指定数量的图像,创建四种尽可能多样化的描述发送给dalle。所有发送到dalle的描述都必须遵循以下规则:
1.如果描述不是英文,翻译它。
2.不要生成超过4张图像,即使用户请求更多,
3.不要创建有关政治家或其他公众人物的图像,可以提供其他建议。
4.不要以最近100年内的艺术家风格创建图像(如毕加索,卡洛)。100年前的艺术家可以直接参考(如梵高,克林姆特)。
5.生成图像前后不要列出或提及描述。描述只能在请求的“prompts”字段中写一次。
6.在描述的开头始终提及图像类型(照片,油画,水彩画,插图等)。
7.确保所有图像中的人物描绘都涵盖了每个人的血统和性别。只调整人类描述。
8.对包含特定人物或名人名称或提示的描述进行微调,使其不泄露任何关于他们身份的信息,除了他们的性别和体型。
所有发送给dalle的描述都应是非常描述性和详细的文本段落,每个描述都应长于3句。

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.mzph.cn/news/685655.shtml

如若内容造成侵权/违法违规/事实不符,请联系多彩编程网进行投诉反馈email:809451989@qq.com,一经查实,立即删除!

相关文章

让每次生成的随机数都相同np.random.seed()

【小白从小学Python、C、Java】 【计算机等考500强证书考研】 【Python-数据分析】 让每次生成的随机数都相同 np.random.seed() 选择题 关于以下代码输出的结果说法正确的是? import numpy as np np.random.seed(0) print(【执行】print(np.random.rand(3))) prin…

EXTI外部中断

? 难点:中断向量表、看门狗、NVIC的优先级位?EXTI框图? ------------------------ 中断系统 中断:在主程序运行过程中,出现了特定的中断触发条件(中断源)--->例如:…

C++初阶(十二) stack和queue

一、stack的介绍和使用 1.1 stack的介绍 stack的文档介绍 stack是一种容器适配器,专门用在具有后进先出操作的上下文环境中,其删除只能从容器的一端进行 元素的插入与提取操作。stack是作为容器适配器被实现的,容器适配器即是对特定类封装作…

python_django高校运动会成绩管理系统4o4c3

田径运动会报名管理系统就是给学生进行网上报名,管理员管理报名信息的一种通用管理平台,从而方便管理人员对运动会的日常报名工作的管理。本系统的前台功能模块包括系统的基本操作、最新公告、运动项目和报名项目;系统的后台功能模块包括系统…

Ubuntu忘记登录密码重置步骤

Ubuntu忘记登录密码重置步骤 1.开机界面长按shitf键,进入grub,并选择Advanced options for ubuntu,按下回车 2.选择一个较新版本的recovery mode,按下回车 3.会跑一些数据,等待跑完后会出现下面的界面,选择…

百家号蓝V认证多少钱?开通蓝V认证的价值

随着互联网的发展,目前已经进入了一个自媒体的时代。百家号就是百度为创作者打造的集创作、发布、实现于一体的内容创作平台,也是内容运营获取低成本流量实现的官方自媒体账号。蓝V认证是平台对百家号的一个认证,通过认证之后头像有蓝V标识&a…

【STM32 CubeMX】I2C查询方式

文章目录 前言一、CubeMX配置IIC二、查询方式的使用2.1 分析一种情况2.2 Master模式2.3 Mem模式 总结 前言 在STM32 CubeMX环境中,I2C(Inter-Integrated Circuit)通信协议的查询方式是一种简单而常见的通信方式。通过查询方式,微…

JavaScript中数组和字符串有哪些原生方法

JavaScript是一门广泛应用于Web前端开发的高级编程语言,它具有丰富的内置方法和函数,方便我们对数据进行处理和操作。在JavaScript中,数组和字符串是两个常用的数据类型,它们都有许多原生方法可以使用。本文将向您介绍JavaScript中…

中小学信息学奥赛CSP-J认证 CCF非专业级别软件能力认证-入门组初赛模拟题第三套(选择题)

CSP-J入门组初赛模拟练习题第三套 1、以下不是属于国家顶级域名的是 A、.au B、.cn C、.com D、.jp 答案:C 考点分析:主要考查域名相关知识,au是澳大利亚、cn是中国,jp是日本,答案C 2、2个10进制数1111和1010的异…

第18讲 投票帖子管理实现

后端&#xff1a; /*** 删除指定id的投票信息* param id* return*/ GetMapping("/delete/{id}") Transactional public R delete(PathVariable(value "id")Integer id){voteDetailService.remove(new QueryWrapper<VoteDetail>().eq("vote_id…

图像卷积、步长、填充、特征图、多通道卷积、权重共享、感受野、池化

图像卷积、步长、填充、特征图、多通道卷积、权重共享、感受野、池化 卷积神经网络的一些基本概念&#xff1a;图像卷积、步长、填充、特征图、多通道卷积、权重共享、感受野、池化 1.图像卷积、步长、填充 图像卷积&#xff1a;卷积核矩阵在一个原始图像矩阵上 “从上往下、…

Kotlin基本语法3集合

1.List集合 1.1 只读List fun main() {val list listOf("Jason", "Jack", "Jacky")println(list.getOrElse(3){"Unknown"})println(list.getOrNull(3)?:"Unknown") } 1.2 可变List fun main() {val mutableList mutabl…

开源PDF工具 Apache PDFBox 认识及使用(知识点+案例)

文章目录 前言源码获取一、认识PDFBox二、导入依赖三、基础功能demo1&#xff1a;读取pdf所有内容demo2&#xff1a;读取所有页内容&#xff08;分页&#xff09;demo3&#xff1a;添加页眉、页脚demo4&#xff1a;添加居中45文字水印demo5&#xff1a;添加图片到右上角 参考文…

[FPGA开发工具使用总结]VIVADO在线调试(1)-信号抓取工具的使用

目录 1简介2 添加观测信号的几种方法2.1 通过定制IP核添加2.2 通过约束文件添加2.3 通过GUI生成DEBUG约束文件2.4 两种方法的优点与缺点 3在线调试方法3.1 器件扫描设置3.2 触发条件设置3.3 触发窗口设置3.4 采样过程控制 4常见问题4.1 时钟域的选择4.2 缺少LTX文件4.3 ILA无时…

c语言--一维数组传参的本质(详解)

目录 一、前言二、代码三、形式3.1形式13.2形式2 四、总结 一、前言 首先从⼀个问题开始&#xff0c;我们之前都是在函数外部计算数组的元素个数&#xff0c;那我们可以把函数传给⼀个函数后&#xff0c;函数内部求数组的元素个数吗&#xff1f; 二、代码 直接上代码&#x…

人力资源智能化管理项目(day09:权限应用)

学习源码可以看我的个人前端学习笔记 (github.com):qdxzw/humanResourceIntelligentManagementProject 搭建页面结构 <template><div class"container"><div class"app-container"><el-button class"btn-add" type"p…

【COMP337 LEC4】

Classifier Evaluation Numerous measures exist (as we will shortly see) to compare the predicted labels by the trained classifier and actual ( target) labels in the test dataset 存在许多度量方法&#xff08;我们很快将会看到&#xff09;来比较训练过的分类器…

6、内网安全-横向移动WmiSmbCrackMapExecProxyChainsImpacket

用途&#xff1a;个人学习笔记&#xff0c;有所借鉴&#xff0c;欢迎指正&#xff01; 前言&#xff1a; 在内网环境中&#xff0c;主机192.168.3.31有外网网卡能出网&#xff0c;在取得该主机权限后上线&#xff0c;搭建web应用构造后门下载地址&#xff0c;利用该主机执行相…

H.264官方手册之帧间预测

一、 框架 只有解码 P和 B类型的宏块时才能调用该过程。 该过程的输出为当前宏块的帧间预测采样点&#xff0c;是一个16x16的亮度采样点 pred(Luma)。以及当ChromaArrayType不等于0时输出 pred(Cb)与pred(Cr) 如果mb_type为B_Skip或者B_Direct_16x16&#xff0c;mbPartIdx的范…

【HarmonyOS】鸿蒙开发之渲染控制——第2.3章

if/eles条件渲染 if的使用方法与javascript&#xff0c;java中使用的if/eles条件渲染使用基本一致。 案例: Entry Component struct IfElseDemo{State isShow:boolean false;build(){Column() {TitleBar({titleBarAttribute: {title: "ifElse使用案例",backShow:…