Mid Journey a beginners Guide

Jaykumaran R
3 min readSep 18, 2023

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Midjourney text2img Results.✨

Photorealism with high-res helps you to create simply amazing AI generated arts.

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Detailed Blog:

Midjourney tutorial:

Midjourney is a text-to-image diffusion model, also known as a generative model, that uses a neural schema to learn the relationship between text and images. The neural schema is a set of rules that the model uses to generate images from text descriptions.

The neural schema is made up of two parts:

* A text encoder: This part of the schema takes a text description as input and converts it into a vector representation.

* An image decoder: This part of the schema takes the vector representation from the text encoder and generates an image.

The text encoder is a neural network that has been trained on a large dataset of text descriptions and images. The image decoder is also a neural network that has been trained on a large dataset of images.

When Midjourney is given a text description, it first uses the text encoder to convert the description into a vector representation. The vector representation is then passed to the image decoder, which generates an image.

The neural schema of Midjourney is constantly being updated as the model learns from new data. This allows the model to generate increasingly realistic and creative images.

Here are some of the technical details of Midjourney’s text2img neural schema:

* The text encoder is a Transformer-based neural network. Transformers are a type of neural network that are well-suited for natural language processing tasks.

* The image decoder is a generative adversarial network (GAN). GANs are a type of neural network that can be used to generate realistic images.

* The neural schema is trained on a dataset of text descriptions and images. The dataset contains millions of images and text descriptions.

* The neural schema is constantly being updated as the model learns from new data.

Midjourney’s text2img neural schema is a powerful tool that can be used to generate realistic and creative images from text descriptions. The neural schema is constantly being updated, which allows the model to generate increasingly realistic and creative images.

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