Every day a new neural network appears and every day more opportunities are opened to designers to simplify their workflow. Someone fundamentally refuses to use them, because “there is no life in machinex and technologies”, and someone is only happy to find a way to reduce the amount of work. Personally, I belong to the second type and want to share the most detailed gait on neurons I have acquired lately.
Personally, for a long time I did not try to understand the neural networks, considering it a dark forest, the need for which is zero for me. And then from all sides were filled with stories and reasoning about neurons, their use, evaluations of various services, and I came to realize that I missed something and it needs to be repaired urgently.
I go to the internet and I know I don’t understand anything. How Midjourney works, what is this your ChatGPT, how to deal with it, no general instructions. So, after spending a lot of time, I’ve gathered up an entire stockpile of information to make life easier for all those who are now hard-working in this AI-like world.
Neuroscience – what is it?
In essence, a neural network is artificial intelligence, a program that repeats the model of human neural connections. That is, a program that analyzes, processes information and produces a result based on this analysis.
Why are they all so attached to them?
They simplify many processes, both working and household.
Neuroscience does not replace humans. They can help, but you still need to edit and refine what AI has generated.
Neural networks can be used to solve various tasks, such as:
The Generation. Neural networks can create unique designs based on set parameters and requirements: logos, fonts or images that can be used when designing a site.
Neural networks and UX/UI design. A neural network can analyze how users react to various elements of the site interface, how convenient it is for the user to use them. And offer improvements for a more attractive design.
• Optimization of the process. Neural networks can automate certain tasks in the design process, such as image processing or prototyping, allowing designers to focus on more creative tasks.
P.S An example of design tasks.
How to generate a request correctly?
AI can give a variety of tasks, complex and simple, the main thing is to do it correctly. To the best result that will meet your expectations you need to adhere to the following principles:
Write simply. Imagine that you are explaining something to a child. Try to create a query without using complicated words, phrases and expressions.
Write in English. Most neural networks understand English better. Even if there is Russian, sometimes a better result can be obtained if you write in English.
Don’t focus on small details. This can lead to the fact that the neural network will misunderstand and will have to make the request again, which increases the time and may not give the desired result. But do not try to shorten the request as much as possible, you need to stick to the golden middle.
Write without denial. As practice has shown, language models often ignore queries that contain denials, as well as some unions and pretexts.
Top Neural Networks for Designers
ChatGPT - Language model, neuron text to text
A chatbot with artificial intelligence developed by OpenAI and capable of working in dialog mode, supporting queries in natural languages (this is how the Wikipedia bot described it).
In fact, the bot can be used for anything, I wrote an article with it, made a resume, asked to write a prompt, in general, everything you want. He explains books, articles and translations very well. For example, I asked him to talk about the differences between Human Interface Guidelines (HIG) and Material Design respectively:
Want more details? Ask for more details. Want a shorter? will reduce.
Here you can explore the best text commands for chat.
Midjourney - Image Generator in Discord
Artificial intelligence software that creates images based on text descriptions.
Better to study it here:
Article 1: The introductory article.
Lesson 2: Using AI to Create Midjourney Illustrations
Lesson 3: How to scale items separately in MidJourney
Lesson 4: How to Use Referrals in MidJourney
Lesson 5: How to Create Cartoon Style Characters in MidJourney
Lesson 6: How to Use Remix in Midjourney
Lesson 7: How to Create Patterns in MidJourney
Lesson 8: MidJourney Prompt Resources
Lesson 9: How to Create a Comic/Midjourney
“Quick Start Guide”, official documentation,
The Art of Prompts for Artificial Intelligence, Kevin Ashley
Midjourneys: Images and Their Prompts With Midjourney by Antonis Tsagaris.
DALLE - Image Generator
Unlike MidJourney, here you can see how many credits on the account - by standard they are 50 and exactly a month later they are updated to 15. That is, no matter how many loans you have – they will be 15 and more each month will be too.
There are 3 operations available, each costing 1 loan:
1. Generating 4 images on a single text request
2. Generate 4 variations based on the created image or user-loaded image
3. Generating part of an image (4 variations) on text request (or image extension)
And again here is for you a detailed user guide
Pebblely - Creates visual promotional images
Generates images for Instagram, to make it quite simple.
You get 40 credits that you spend once and all.
article with screening of neurons
Genius - Generates modular blocks
description of the project and its use
Video Editing Tool - Creates video from a set of images
There is already a detailed description of working with AI on the githab.
ElevenLabs - Copies voice
Stable Diffusion - Image Generator
here you can search for prompts for ISK
but here lies the Stable Diffusion neuron for Photoshop
Galileo AI - Creates interfaces
WatermarkRemover - Removes watermarks
CleanUP - Hides objects on photo
Lama - Wipes out objects with photos
Inpaint - Removes watermarks and unnecessary items from photos
PhotoAI - Edits the photo composition
ZebraCat AI - Generates videos
Synthesys X - Generates image analogues
BackgroundRemover - Removes background
Adrenaline - Helps with code
KickResume - Helps with resume
The plug-in for Figma, shows the heat map of the project from the user, marks errors and gives out how much of your design is user-friendly.
Tome.app - creates presentations in seconds
Neurodub - translates video into another language
DOU.UA – a neural network for generating logos
Ukrainian Chat bot in Telegram generating logos
Flair AI - inserts an object into space
AutoDraw - releases images similar to simple objects drawn by the user
Designfy - cuts backdrop and offers background options
Patterned AI - creates pattern on request
UnBound - A service with plenty of capabilities
ClipDrop - Service with multiple features
PineGraph - will make the sketches a real picture
here a lot of videos with examples of AI work
BrandMark - Creates a logo on request
Looka - creates a logo on request
Colorize - will translate HB into color
UpScayl - Improves photo quality
FlowFrames - recovers lost frames in video
Kaiber - creating video on request
Marmof - will write content for an article in a blog or site on request with introductory
Icon AI - generates icons on request
VizcomAI - creates 3D objects from sketches
Imaginary SoundScape - will voice your photo
Adobe Enhance - processes your soundtrack and removes noise
In conclusion, I can only say: study, try, use.