Each year, neural networks take a bigger role in entertainment, assisting artists to draw, enhance photographs, polish videos, and craft texts. They also power new games and remasters of classic titles. If a reader wants to explore these capabilities, this guide offers a hands-on path to experimentation.
How Neural Networks Create Images
Neural networks are software programs that interpret user prompts delivered as images, videos, or text. Their usefulness spans many fields, from filmmaking to design and architecture. Today, any user can generate a new image or improve an existing one. The key is to select a reliable program and to set requirements that align with the desired outcome.
The Network That Generates Pictures: Programs and Bots for On‑Demand Image Creation
midpoint of the journey
- Cost: Free.
- Accessibility: Online.
- Input format: text-to-image generation.
There is a separate article about this program, where experiments with neural networks were conducted — entering a few words yielded results. Some images matched expectations, others appeared unusual. A closer look reveals why the network behaved in certain ways.
Guidance for using Midjourney:
- Join Discord.
- Open the Midjourney Discord channel.
- Enter a newbie text channel.
- Type “/imagine” and provide English keywords for the search.
Results appear within ten to fifteen seconds. After creating about two dozen artworks, a paid subscription may be suggested, though a new Discord account suffices for limited use.
Note that this network allows combining two images into one artwork.
Magic3D
- Cost: Free.
- Accessibility: Online only for some features.
- Input format: text-to-image generation.
This tool focuses on generating three‑dimensional models from text prompts, with the goal of showcasing what neural networks can achieve. While early, it signals how 3D outputs may evolve with future developments. The program is available for download here.
Dall E 2
- Cost: Free with generation limits.
- Accessibility: Online.
- Input format: text and image generation.
One of the most widely known networks, Dall‑E 2 opened access to users across Europe and North America in September of this year, with options to try it from elsewhere as well. A guided approach helps users understand the variety of outcomes possible.
Getting started with Dall‑E 2:
- Obtain a virtual phone number from Europe or the United States. Free options exist, or numbers can be purchased for a small fee.
- Connect to a VPN from the chosen country. A separate guide discusses reliable VPNs for safe browsing.
- Visit the official DALL‑E 2 website.
- Complete the registration using a foreign email address and a European number.
- Enter text and generate results.
Each image generation consumes a credit. New users typically start with a set of credits, with more added monthly.
As an alternative, users can upload an image and instruct the network to edit or conjugate it with new elements. The quality of the original image strongly influences the final result, and the network can even merge two pictures into a single composition.
Deep Dream
- Cost: Free for low quality output; paid for higher quality.
- Accessibility: Online.
- Input format: image-to-image generation.
Developed by Alexander Mordvintsev, a Google Research coder, this project from 2015 produces artwork from an uploaded image. Users can simply modify the image or blend it with another photo. Access to the official site is available after registration.
Art Grower
- Cost: Free.
- Accessibility: Online.
- Input format: image generation.
A modern network designed to work with existing images. Many reviews suggest it excels for portraits, offering dozens of adjustable settings such as skin tone and eye color, or even different emotional expressions.
MAT Primer for Stable Diffusion
- Cost: Free.
- Accessibility: Online.
- Input format: image generation.
This tool enables enhancements where a user uploads a photo and the network enlarges it to a specified size while preserving the original look.
Enhance Photos and Graphics with a Neural Network
Nero AI Image Upscaling
- Cost: Free.
- Accessibility: Online.
A straightforward method to double the image quality by uploading a frame to the official site. Specific parameter control is limited, with the process running automatically.
Let’s Improve
- Cost: Free for up to 100 generations; paid plans for higher limits.
- Accessibility: Online.
This more advanced tool boosts image quality up to sixteen times, reduces noise, and corrects colors. It can process up to a hundred photos for free, with paid options for more demanding outcomes.
Topaz Gigapixel AI
- Cost: Paid.
- Accessibility: Standalone or Photoshop plug‑in.
Today’s leading enhancement software, it handles diverse image types and offers hundreds of adjustable parameters. The package costs about 99.99 USD, with a free demo available from the official website.
Video Enhancement with a Neural Network
Waifu2x
- Cost: Free.
- Accessibility: Online halt is not supported.
A beginner‑friendly tool originally aimed at image enhancement; the newer versions support video editing as well. It focuses on upscaling resolution and reducing noise, with a downloadable program available.
Wisdom
- Cost: Free for a limited version; paid for full access.
- Accessibility: Online.
This solution enables video editing through text commands and voice control, with extensive options to modify audio, add subtitles, and adjust effects. The monthly cost can be a concern, though a limited free version exists.
The neural network can also create video content on demand. It produces video from text prompts, with varying resolution and future improvements anticipated. The current approach remains useful for experiments with text‑to‑video capabilities, and higher fidelity outputs are expected as the technology matures.
Magical Movie
- Cost: Free.
- Accessibility: Offline use only.
This tool builds videos from textual prompts, though the resulting output may be low resolution at first. It is valuable for experimentation and illustrating the potential of neural networks in motion creation. Further refinements are expected as the technology progresses.
Have you explored neural networks before?
Note: content is presented to illustrate current capabilities and typical usage patterns in the field of neural networks and content generation, reflecting common discussions and experiences reported across regional tech communities.