ChatGPT: How to generate prompts for Stable Diffusion - Stable Diffusion Art (2023)

FAQs

Does ChatGPT use stable diffusion? ›

Several generative AI models, including ChatGPT and an image generator called Stable Diffusion, can now be accessed online for free or for a low-cost subscription, which means people across the world can do everything from assemble a children's book to produce computer code in just a few clicks.

Stable Diffusion is a latent diffusion model that is capable of generating detailed images from text descriptions. It can also be used for tasks such as inpainting, outpainting, text-to-image and image-to-image translations.

Stable Diffusion 2.0 is now live on Playground AI, and it's completely free to use. Playground AI is one of my favorite AI image-generator web apps for its feature-rich tools and fast generation. Each user is limited to 1000 images per day, but you can choose to pay for credits if you want more.

Stable Diffusion is recommended to be run with 10 GB or more VRAM, however users with less VRAM may opt to load the weights in float16 precision instead of the default float32 to tradeoff model performance with lower VRAM usage.

Then, there's Stability AI's open-source image generation model Stable Diffusion, which has been used on pop music videos, Hollywood movies and by more than 10 million people on a daily basis. Stability's brash CEO Emad Mostaque predicts the “dot-AI bubble” is coming.

Users Are Calling It 'Censorship' The latest update to Stable Diffusion also includes an adult content filter limiting the generation of NSFW images.

Width and Height for a generated image. By default, Stable Diffusion generates images in sizes 512 to 512 pixels. You will get the most consistent result when you use this size.

AI image generators are already being used to generate NSFW output, including both photorealistic and anime-style pictures. However, these models can also be used to generate NSFW imagery resembling specific individuals (known as non-consensual pornography) and images of child abuse.

How much time does it take to train Stable Diffusion? ›

We wanted to know how much time (and money) it would cost to train a Stable Diffusion model from scratch using our Streaming datasets, Composer, and MosaicML platform. Our results: it would take us 79,000 A100-hours in 13 days, for a total training cost of less than $160,000.

The best alternatives to Stable Diffusion - DreamStudio are Insense , Playground AI and Pixelixe. If these 3 options don't work for you, we've listed over 10 alternatives below.

Thanks to Stable Diffusion's open-source code, AI images can also be generated on a powerful PC rather than in the cloud. Developer Liu Liu has now packaged Stable Diffusion's algorithm into an iPhone app. The app does not require an Internet connection after downloading the roughly two-gigabyte resources.

Discovering instances of memorization in Stable Diffusion required 175 million image generations for testing and preexisting knowledge of trained images.

Currently, Stable Diffusion generates images fastest on high-end GPUs from Nvidia when run locally on a Windows or Linux PC. For example, generating a 512×512 image at 50 steps on an RTX 3060 takes about 8.7 seconds on our machine.

Stableboost generates up to 200 images in one go with Stable Diffusion. Jonathan works as a technology journalist who focuses primarily on how easily AI can already be used today and how it can support daily life.

To write a good text-to-image prompt, it's recommended to be clear with the main idea and to define the details and styles you want to replicate. A prompt with at least 3 to 7 words is ideal, as it provides the AI with a clear context, and using multiple adjectives can infuse multiple feelings into the artwork.

We have explored several easy steps on how to use ChatGPT and access Open AI through Delphi. Not only can you make amazing art, but you also have the chance to submit your work in the Delphi Fan Art Contest! Explore different ideas and look at other entries submitted by other creators.

Around 25 sampling steps are usually enough to achieve high-quality images. Using more may produce a slightly different picture, but not necessarily better quality.

To get good results training Stable Diffusion with Dreambooth, it's important to tune the learning rate and training steps for your dataset. High learning rates and too many training steps will lead to overfitting. The model will mostly generate images from your training data, no matter what prompt is used.

Can Stable Diffusion run on Windows? ›

Stable Diffusion WebUI

It's a browser interface based on the Gradio library for Stable Diffusion that you set up from individual libraries. There are two great things about this option: WebUI works on all systems (Linux, Windows, mac)

History. Midjourney was founded by David Holz, co-founder of Leap Motion. It first entered open beta on July 12, 2022. However, on March 14, 2022, the discord server launched with a request to post high-quality photographs to Twitter/Reddit for system's training.

You can submit AI images you've generated to earn royalties!

I'm excited to tell you — it's official — that AI-generated images can now be submitted and sold on Adobe Stock!

In conclusion both Stable Diffusion 2.0 and Midjourney V4 are great choices when it comes to AI-generated imagery. However, if you're looking for the best results “straight out of the box”, Midjourney V4 is the better choice.

Tap on the profile icon. Select Settings. Tap the Blur NSFW Images toggle switch to turn it off.

Among the most frequently-appearing were Donald Trump, Charlize Theron, Marilyn Monroe, Kate Moss, Blake Lively, and Lupita Nyong'o, Rosie Huntington-Whiteley, and Scarlett Johansson. Unlike DALL-E 2, Stable Diffusion also lets you generate images of famous trademarked characters, so we searched for 600 of them.

For video editors, we recommend 1920 x 1080 as a minimum. This is because 1080p is the standard high-definition resolution for videos, so if you're working with 1080p video, you'll want a screen that can display that natively.

It's best to look at the pixel dimension of your images as you're making them. As long as they're at least about 1024 pixels wide (for a horizontal image) they should be fine for teaching. The standard resolution for web images is 72 PPI (often called “screen resolution”).

Often referred to as “full HD,” 1080 (1920 x 1080 pixels) has become the industry standard for a crisp HD digital video that doesn't break your storage space. This is also a common screen resolution for smartphones.

What AI can generate NSFW art? ›

Lensa has been climbing the app store hit lists with its avatar-generating AI that is making artists wave the red flag. Now there's another reason to fly the flag: As it turns out, it's possible — and way too easy — to use the platform to generate non-consensual soft porn.

“ This means that, under the current rules, AI-generated art has no owner. Copyright protection in art is given as soon as the work is created, so the creator has exclusive right to decide the future use of the work.

The true power of the Stable Diffusion model is that it can generate images from text prompts. This is done by modifying the inner diffusion model to accept conditioning inputs. The inner diffusion model is turned into a conditional image generator by augmenting its denoising U-Net with the cross-attention mechanism.

The average freight train is about 1 to 1¼ miles in length (90 to 120 rail cars). When it's moving at 55 miles an hour, it can take a mile or more to stop after the locomotive engineer fully applies the emergency brake. An 8-car passenger train moving at 80 miles an hour needs about a mile to stop.

The time for diffusion is linear in y/x for 3 dimensions; proportional to log(y/x) for 2 dimensions; and independent of y/x for 1 dimension. For example, when y/x = 0.1 (e.g., target diameter 1 nm, diffusion distance 10 nm), q₃ = 0.35 and q₂ = 1.22.

About: PhotoGlory is an old photo restoration software that uses artificial intelligence and neural networks to repair damaged photos and colorise black & white shots.

DALL. E 2 is currently free to use, but there is a catch. You're allotted 50 free credits during your first month's use and 15 free credits after that.

Anyone can use the Stable Diffusion model to generate customised images. They may also use the code to create art-related apps, such as those that enhance the drawing of cartoons or even making collages.

To run Stable Diffusion locally on your PC, download Stable Diffusion from GitHub and the latest checkpoints from HuggingFace.co, and install them.

What are the uses of ChatGPT? ›

ChatGPT can be applied to a range of NLP applications, such as Generating Text, Dialogue Generation, Language Translation, Text Summarization, Text Classification, Question Answering, and Text Completion among others.

Performance: ChatGPT-professional delivers better performance than ChatGPT in terms of generating more human-like text and providing better context understanding. Cost: ChatGPT-professional is a paid service, while ChatGPT is a free to use model.

A chatbot performs routine automated tasks based on specific triggers and algorithms, simulating human conversation. A bot is designed to interact with a human via a chat interface or voice messaging in a web or mobile application, the same way a user would communicate with another person.

ChatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned (an approach to transfer learning) using both supervised and reinforcement learning techniques.

Limitations in Training Data and Bias Issues

Like many AI models, ChatGPT has limitations in its training data. Both the constraints in training data and bias in the data can create a negative impact on the model's output. In fact, this AI tool has shown bias when it comes to training minority data groups.

ChatGPT runs on a language model architecture created by OpenAI called the Generative Pre-trained Transformer (GPT), specifically GPT-3. Generative AI models of this type are trained on vast amounts of information from the internet including websites, books, news articles and more.

Chat bots like GPT are powered by large amounts of data and computing techniques to make predictions to string words together in a meaningful way. They not only tap into a vast amount of vocabulary and information, but also understand words in context.

OpenAI stressed in the waitlist document that access and potential use of the premium version are still experimental, subject to changes, and would only be available to a few select people for now. Update: On February 1, 2023, OpenAI announced the launch of a $20 pilot subscription plan for ChatGPT Plus.

The new subscription plan, ChatGPT Plus, will be available for $20/month, and subscribers will receive a number of benefits: General access to ChatGPT, even during peak times. Faster response times. Priority access to new features and improvements.

OpenAI, the company behind the technology, has now announced that it will introduce a ChatGPT Pro subscription plan. This will cost $20 (£16) a month, giving paying users a host of key benefits to make the chatbot easier to use.

How do chatbots answer questions? ›

Chatbots are essentially smart robots that are programmed to answer questions. They understand what you want and then give you the answer you are looking for. Intelligent conversational chatbots are built on machine learning and become more “knowledgeable” the more you feed it data .

ChatGPT grew in popularity quickly, according to Adam Conner, vice president for technology Policy at the Center for American Progress, because it was one of the first AI technologies of its kind to be made available to the public in a way that the public could understand.

It was trained on a massive corpus of text data, around 570GB of datasets, including web pages, books, and other sources. 11. GPT-3 has been fine-tuned for a variety of language tasks, such as translation, summarization, and question-answering.