Режим Бога в Midjourney | Как сгенерировать всё, что угодно
TLDRThe video script is a comprehensive guide on utilizing Midjourney, an AI system, for generating images through prompts. It covers the basics of crafting prompts, fine-tuning styles, and understanding parameters for detailed image generation. The guide assumes familiarity with Midjourney and Discord, and introduces various features like aspect ratio adjustment, negative prompts, remix mode, and quality settings. The script also offers tips on achieving specific styles like realism, anime, 3D art, and retro, and encourages users to explore and experiment with different prompts for unique results.
Takeaways
- 🤖 Familiarity with Midjourney is assumed; beginners are directed to other videos for guidance.
- 📝 A prompt is a description for the AI, detailing what should be generated, with more detailed descriptions creating new images.
- 🎨 The base style of Midjourney generates an image, but users can specify a particular style or artist's name.
- 📐 Aspect ratios and other parameters can be added to the end of the prompt for more control over the output.
- 🚫 Negative prompts help to exclude unwanted elements from the image, such as 'No Person' to remove characters.
- ⚖️ Weights can be assigned to different parts of the prompt to prioritize certain elements in the final image.
- 🔄 The 'remix' feature allows for the combination of images, creating various stylized versions like 'Shrek in the style of 80s movies'.
- 🔗 Direct links to images can be used to generate new images, with the source image informing the composition and the linked image influencing the style.
- 🎨 'Double Tires' or 'double --' followed by a number controls the expressiveness of the style, with higher values leading to more unexpected results.
- 🌐 'Chaos' parameter with 'double - chaos' or 'double -- chaos' influences the diversity of the generated grids, with higher values leading to more varied outcomes.
- 🕒 'Quality' or 'double -' controls the amount of GPU time used, affecting the cost, detail, and processing speed of the image.
- 🌟 'Seed' value allows for generating new images based on previous ones, preserving style, characters, or composition.
Q & A
What is the main topic of the video?
-The main topic of the video is teaching viewers how to work with a neural network, specifically in styling images using prompts and fine-tuning various styles.
What is the default style for generating images in the neural network mentioned?
-The default style for generating images is the signature style of the neural network, Midjourney.
How can one specify the style in which an image will be generated?
-One can specify the style by mentioning a particular style or the name of an artist in the prompt.
What does the aspect ratio parameter control?
-The aspect ratio parameter controls the shape of the generated image, allowing for square, horizontal, and vertical images by adding 'ar3:2' for horizontal and 'ar2:3' for vertical images.
What are negative prompts used for?
-Negative prompts, also known as 'No' parameters, are used to exclude specific objects or elements from the generated image.
How can one prioritize different parts of a complex prompt?
-One can prioritize different parts of a complex prompt by using double colons '::' to separate the prompts and assign a weight to each part to indicate its importance in the final image.
What is the purpose of the 'remix' mode?
-The 'remix' mode allows users to combine images, creating various stylized versions by sending a direct link to an image after the 'Imagine' prompt.
What is the 'Quality' parameter used for?
-The 'Quality' parameter, denoted by '--', controls the amount of GPU time used, which affects the cost, detail, and generation time of the image.
How can one generate new images based on previous ones?
-One can generate new images based on previous ones by using the 'Seed' value, which is unique to each image and can be obtained by sending a message with the image to the bot.
What are some popular styles and corresponding prompts mentioned in the script?
-Some popular styles and corresponding prompts mentioned include 'photorealistic', 'cinematic lighting', 'anime', '3D Art', 'retro', and 'character design'.
How can one find more examples and styles for using with the neural network?
-One can find more examples and styles by visiting websites that provide images and prompts for regeneration, as mentioned in the script.
Outlines
🤖 Introduction to Neural Network Styling
This paragraph introduces the viewer to the intricacies of working with neural networks, specifically in the context of image generation and styling. The host, Stas Belyayev, teaches the audience how to utilize prompts to style images using various fine-tuned settings and specific styles. It is assumed that viewers are already familiar with Midjourney and have a Discord account. The concept of a prompt is explained as a hint for the neural network to generate an image in a base style, while a more detailed description can create something new. Examples are given to illustrate how different prompts can yield varied results. The paragraph also touches on the importance of structuring prompts effectively to achieve higher quality results.
🎨 Advanced Prompt Construction and Styling
The second paragraph delves deeper into the art of constructing advanced prompts for neural networks. It discusses the use of specific parameters like aspect ratio, style, and artist names to refine the generated images. The paragraph explains how to use negative prompts to exclude certain elements and the use of weights to prioritize different parts of the prompt. It also introduces the concept of 'remix' for image crossbreeding, providing examples of how to use it. The importance of image links and the potential issues with certain hosting services are highlighted. The paragraph concludes with a discussion on the 'turbo' feature for anime-style images and the various styles and prompts that can be used to generate realistic, anime, 3D, and retro-style images.
🌟 Encouraging Learning and Support for the Channel
In the final paragraph, the host encourages viewers to learn about digital technologies for both children and adults. He invites them to register for courses and support the channel through donations. The paragraph serves as a call to action, providing a link in the video description for donations and promoting the host's platform for further learning. The host concludes the video with a thank you message, encouraging viewers to subscribe and like the video, and reminds them to visit the Multach website for more information.
Mindmap
Keywords
💡neural network
💡prompt
💡style
💡parameters
💡remix
💡3D render
💡anime
💡aspect ratio
💡negative prompts
💡weight
💡chaos
Highlights
The tutorial introduces various intricacies of working with neural networks, specifically focusing on image stylization using prompts.
Users will learn how to style images with different levels of detail and specific styles, enhancing their understanding of neural network capabilities.
The guide assumes users already have experience with Midjourney and an account on Discord, with resources available for beginners.
A prompt is a hint for the neural network, describing what needs to be generated, with short prompts generating images in the base Midjourney style and more detailed prompts creating something new.
Examples of how to specify prompts include adding details like color, clothing, age, and background to create a more detailed and customized image.
The use of commas and semicolons helps Midjourney understand the different parts of the request more precisely, with semicolons being particularly useful for clarity.
Users can specify the style in which the image will be generated, with options to use the default Midjourney style or even mimic a particular artist's style.
Aspect ratios and other parameters can be added at the end of the prompt to further refine the image generation process.
Negative prompts allow users to exclude specific elements from the image, such as 'No Person' to remove all characters from the image.
Weights and priorities can be assigned to different parts of the prompt to control the importance of each element on the final image.
The 'remix' feature allows users to combine images, creating a multitude of different stylizations, such as 'Shrek in the style of 80s movies' or 'Nu, Pogodi in anime genre'.
Images can be sourced from various hosts, with the tutorial noting that links from certain platforms may not work, emphasizing the importance of using compatible formats like JPEG, PNG, or GIF.
The 'Style' parameter, with values like 'Tirex' or 'double T' followed by a number, determines the expressiveness of the stylization, with higher values leading to more unexpected results.
The 'Chaos' parameter, 'double dash chaos' or 'double T chaos', affects the diversity of the initial image grids, with higher values leading to more varied and unexpected outcomes.
The 'Quality' parameter, 'double T Quality' or 'double T Q', controls the amount of GPU time used, with lower values reducing cost and image detail, while higher values increase processing time and detail.
The 'Seed' feature allows users to generate new images based on previous ones, maintaining the style, characters, or composition of the original by using the seed value in the prompt.
Websites are available where users can find various images and prompts used for regeneration, with one such site personally used by the speaker mentioned in the transcript.
The tutorial concludes with an example of a supercharged prompt, demonstrating how to create a powerful cinematic art piece, showcasing the practical application of the discussed techniques.
