Social Media for an SMM Specialist
Posted: Sat Feb 01, 2025 4:34 am
AI for creating posts gives good results, but for effective promotion of social networks, writing only texts is not enough. You need to be able to communicate with users, engage them in discussions, and also publish interesting videos and other materials.
AI for posts in Telegram and social networks can generate text, but the final decision on publication is made by a person. He can either not post, or post it without changes or with minor adjustments. Unfortunately, the capabilities of the neural network are not yet unlimited and the results of its work need to be edited.
Neural networks for generating visual content
A neural network can be used to create imagesDALL-E. This is a free program that works in Russian. It is enough to enter a text query and wait a little. By analogy with this grid worksStable Diffusion. As the developers assure, the program generates realistic images.
In this case, it is important to set the settings, and also to specify not only the request (in the first window), but also what should not be in the image (in the second window). When you open the program, you will immediately see an example of image generation.
How to Use AI in - Image 5
In a neural network, you can draw not only people, but belize telegram data also inanimate objects, landscapes, dishes, and much more.
Note that AI sometimes has problems drawing people. Fingers are especially problematic, often having strange shapes or too many. This even happens with the popular Midjourney neural network. To reduce the likelihood of crooked elements appearing, we recommend writing a negative prompt.
Selecting references for shooting and processing photos
If you are preparing photo content, you probably collect references for shooting. These are photos that show what you want to get in the end.
However, it is not always possible to find pictures on the Internet that match your idea. Let's say you want to embody a stylistically complex image that no one has yet attempted. In this case, a neural network will help create references:
OpenAI's DALL-E – generates a picture based on a text description;
Artbreeder – mixes and combines styles of different artists;
Runway ML – generates new clothing models based on existing ones.
AI for posts in Telegram and social networks can generate text, but the final decision on publication is made by a person. He can either not post, or post it without changes or with minor adjustments. Unfortunately, the capabilities of the neural network are not yet unlimited and the results of its work need to be edited.
Neural networks for generating visual content
A neural network can be used to create imagesDALL-E. This is a free program that works in Russian. It is enough to enter a text query and wait a little. By analogy with this grid worksStable Diffusion. As the developers assure, the program generates realistic images.
In this case, it is important to set the settings, and also to specify not only the request (in the first window), but also what should not be in the image (in the second window). When you open the program, you will immediately see an example of image generation.
How to Use AI in - Image 5
In a neural network, you can draw not only people, but belize telegram data also inanimate objects, landscapes, dishes, and much more.
Note that AI sometimes has problems drawing people. Fingers are especially problematic, often having strange shapes or too many. This even happens with the popular Midjourney neural network. To reduce the likelihood of crooked elements appearing, we recommend writing a negative prompt.
Selecting references for shooting and processing photos
If you are preparing photo content, you probably collect references for shooting. These are photos that show what you want to get in the end.
However, it is not always possible to find pictures on the Internet that match your idea. Let's say you want to embody a stylistically complex image that no one has yet attempted. In this case, a neural network will help create references:
OpenAI's DALL-E – generates a picture based on a text description;
Artbreeder – mixes and combines styles of different artists;
Runway ML – generates new clothing models based on existing ones.