MidJourney как пользоваться? | Полный гайд

The video script introduces Mi Joni, a neural network capable of generating images based on text prompts. The narrator discusses the benefits of using Mi Joni on a private server to avoid spam and the creative potential of the technology. They also mention the availability of a free version and a paid fifth version, with payment options facilitated through a partnership with Binance cards. The script outlines the video's agenda, which includes explaining how the neural network operates, making it more convenient and faster, the basics of prompt engineering, and using personal photos for image generation.

The narrator provides a step-by-step guide on setting up a private server with Mi Joni to avoid spam and clutter from new users. They explain how to create a server, add the Mi Joni bot, and use it to generate images without distractions. The process involves adding the bot to the server and using commands to generate images based on prompts. The script also includes examples of how to use the bot effectively and the importance of using detailed prompts to guide the neural network in creating specific images.

The script delves into the creative aspect of using Mi Joni to generate images for various purposes, such as commercial projects, social media creatives, and advertising. The narrator shares examples of prompts for generating images, including a tropical beach scene and an ultra-realistic image of an Asian woman at a beach bar at sunset. They also discuss the ability to adjust image parameters, such as quality and format, and how to refine generated images to better suit specific needs.

The narrator explores the diverse applications of Mi Joni, from generating images for interior design to creating promotional materials for businesses like lawn mowing services. They demonstrate how to use specific parameters to guide the neural network in creating images that fit particular themes or styles. The script also touches on the ability to add elements to existing images and how Mi Joni can be used to generate images in different niches, showcasing its versatility.

The script introduces advanced techniques for image generation with Mi Joni, such as using the 'Seed' parameter to recreate or refine previously generated images. The narrator explains how to use the 'Seed' parameter to maintain consistency in image generation and how to apply different styles to images, including glamor magazine styles and cyberpunk themes. They also discuss the potential for generating images of animals and mythical creatures with high levels of detail and realism.

The narrator discusses how to use personal photos for style transfer using Mi Joni. They explain the process of uploading a photo and applying different styles to it, such as the style of a specific artist or illustrator. The script provides examples of how Mi Joni can stylize photos in various artistic styles, including comic book styles and the style of famous artists like Van Gogh. It also mentions the limitations of Mi Joni in handling certain objects like texts, fingers, and weapons.

The script focuses on generating portraits and exploring different styles for image generation. The narrator shares their experience with generating portraits in various styles and discusses the challenges and successes of the process. They mention the use of prompts to guide the neural network in creating images that resemble certain characters or celebrities, such as Donald Trump or Jackie Chan, in specific artistic styles. The video also touches on the potential for creating unique and original styles through experimentation.

In the concluding part of the script, the narrator summarizes the capabilities of Mi Joni and its potential for future updates. They discuss the importance of using detailed prompts to achieve the desired results and mention the possibility of future versions of Mi Joni that may offer improved features and capabilities. The narrator also encourages viewers to share their experiences and prompts used with Mi Joni and to subscribe to the channel for future updates on neural networks and related technologies.