The best AI image generator currently available
From Pope Francis in a down jacket to Wes Anderson-inspired movie trailers, artificial intelligence-generated images are becoming increasingly common on the internet. It’s not hard to see why – modern AI tools have become so convincing that their images have even won prestigious photography awards. You don't have to be a talented artist or photographer to create beautiful art, either. If you’ve ever used a chatbot like ChatGPT or Bing Chat, you’ll feel right at home using any of the best AI image generators.
To generate an AI image, all you need is a text prompt describing the scene in your mind. For example, I used the prompt "New York City skyline at golden hour with tall skyscrapers and busy streets" in one of the images below. However, your imagination can run wild as detailed tips spell out every intricate detail.
So, with these features in mind, here’s our list of the best AI image generators available right now. We will continue to update this list as technology continues to evolve.
The Best AI Image Generator
From free to paid, simple to complex, you will quickly learn that no two AI image generators work the same. In fact, almost all of them also differ in their underlying machine learning models. This means that the same prompt will give different results depending on which generator you use. To do this, you can choose from the following options:
- Midjourney
- DALL-E
- Stable Diffusion Online
- DreamStudio
- Bing Image Creator
Midjourney
Although Midjourney is not the first AI image generator, it has now become the first choice for many people. That's because Midjourney's latest V5 version already outshines most of its competitors. In some cases, the results it produces look realistic, although there are a few minor bugs that reveal its AI heritage.
Unlike most other services on this list, you can't access Midjourney through a website or app. Instead, you need to use Discord – a chat app commonly used by the gaming community. That’s not a bad thing, though, as Discord works on all major platforms, including web browsers. To get started, simply create an account and join the Midjourney Discord server. You may have to accept the terms of service before getting started, but that's the only barrier to entry.
Midjourney has become everyone's go-to image generator.
New members can only generate a limited number of free images (approximately 25) as part of the free trial. However, Midjourney disables free trials during heavy traffic periods. The cheapest way to use the service is a $10 per month subscription. You can save even more if you commit to a full year's subscription. Unfortunately, this tier still only gives you about 200 images per month.
While you can use Midjourney with basic prompts containing just a few words (or even emojis), its real power lies in its parameters. For example, you can use the --ar parameter to specify an aspect ratio of 16:9 or create an anime-style image using . --niji.
Launched in 2021, DALL-E became the first generative AI to break into the mainstream. The latest version, DALL-E 2, takes things to another level with better language understanding and higher quality images. It can also edit existing images, allowing you to replace or add entirely new objects.
OpenAI, the company behind ChatGPT, created DALL-E. The company explains how the image generator understands your prompts, based on its GPT-3 large-scale language model.
Using DALL-E is very simple and straightforward. You'll need an OpenAI account, which you probably already have if you've ever used ChatGPT. Once logged in, you can enter a prompt in the text box and click the Generate button.
DALL-E was the first AI image generator to gain traction, but it wasn't always the best choice.
Each image you generate will cost one point. Unfortunately, however, DALL-E no longer offers any way for new users to earn free credits. The practice ends in April 2023, so if you create an account today you'll need to purchase points. You have to load $15 each time, which will generate 115 points. It works out to about 13 cents per use, which isn’t bad for one of the best AI image generators out there.
Having said that, you can still use DALL-E for free through Microsoft’s Bing Chat. Scroll down to learn more about how to do this.
Stable Diffusion
Unlike other AI image generators on this list, Stable Diffusion is completely free and open source. If you have a powerful computer with a dedicated graphics card, you can even download and run the model yourself. Even better, it works completely offline. However, this isn’t an option for everyone, as the minimum requirements require a GPU with 8GB VRAM. This disqualifies most non-gaming or non-workstation computers.
Stable Diffusion is a free and open source machine learning model for image generation.
good news? You can use Stable Diffusion to generate images entirely within your web browser. Just visit the StableDiffusionOnline website and enter the prompts. It doesn't get any simpler than this.
You don't need an account, but your results will be saved and visible to others. For maximum privacy, you must run the model on your own computer. You also can't see your personal generational history, so it's for one-time use only. Having said that, the platform does allow you to browse past tips and their results. This comes in handy when you're lacking artistic inspiration.
DreamStudio
While StableDiffusionOnline from the previous section works well as a free service, its functionality is not complete yet. For example, you can't customize the size of the image or edit it after it's generated. But luckily, Stability AI, the creators of Stable Diffusion, have just the solution in the form of DreamStudio.
After you open DreamStudio, you will find that it looks like a beautiful application with many buttons and dials. You can generate multiple (or fewer) images at once, change the aspect ratio, omit certain elements from your AI-generated masterpiece, and more. DreamStudio also offers different "styles" covering everything from photorealism to origami and comic book looks.
From different styles to various editing features, DreamStudio offers a highly customizable experience.
In addition to this, you can also use the Edit tab to add and remove objects in the AI-generated image. For example, try using the eraser tool to delete parts of an image. Then enter the prompt to fill in the gaps.
DreamStudio, as an official and highly polished product, does cost money to use. But the good news is you get 25 free points when you sign up, which will get you 125 generations. On top of that, a minimum spend of $10 will get you 1,000 tokens or around 5,000 AI-generated images.
Bing Chat
Microsoft’s Bing search engine received a powerful new chat mode shortly after the launch of ChatGPT. Since then, it's gotten even more powerful as the company has also added a free AI image generator to the mix. The service, called Bing Image Creator, now has a dedicated page with ideas and instructions on how to use it.
With Microsoft working closely with ChatGPT creator OpenAI, it’s no surprise that Bing’s Image Creator uses DALL-E under the hood. This means that if you run out of free credits on one platform, you can simply switch to another.
Bing Chat's image generation uses DALL-E under the hood and doesn't cost a penny.
When you sign in with a Microsoft account, Image Creator automatically grants you 100 "boosts." These are essentially credits that allow you to generate new images almost instantly. Boosts automatically replenish each week and you cannot pay for more points at this time. What happens when you run out of boosters? As the name suggests, you will have to wait longer. But the good news is that you can still generate an unlimited number of images for free.
You can also access the image creator through vanilla Bing Chat, even on mobile devices. Just switch to creative mode and start the prompt using "Generate image of..." This method currently follows the same limit as the chatbot, 200 conversation threads per day.
That’s it for our list of the best AI image generators available right now. Have you used them? Let us know which one you'll be using in the contest in the poll below.
The above is the detailed content of The best AI image generator currently available. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions
Jun 28, 2024 am 03:51 AM
This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP
Context-augmented AI coding assistant using Rag and Sem-Rag
Jun 10, 2024 am 11:08 AM
Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
Seven Cool GenAI & LLM Technical Interview Questions
Jun 07, 2024 am 10:06 AM
To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text
Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations
Jun 11, 2024 pm 03:57 PM
Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it
To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework
Jul 25, 2024 am 06:42 AM
Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A
SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time
Jul 17, 2024 pm 06:37 PM
Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S
Five schools of machine learning you don't know about
Jun 05, 2024 pm 08:51 PM
Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing
SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc.
Aug 01, 2024 pm 09:40 PM
According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
