If you've heard of Midjourney and DALL-E, you've probably heard of Stable Diffusion.
Just as in chess, where understanding openings and defenses increases your chances, understanding the nuances of artificial intelligence (AI) generates superior results.
In this article, we'll explore one of the best-known generative platforms, Stable Diffusion, to provide detailed insights into how it works and valuable tips for users.
What is Stable Diffusion?
Introduced in 2022, Stable Diffusion is a generative artificial intelligence model that works from text commands to create images. In other words, when you express your intentions in writing, the machine generates an image corresponding to your instructions.
To make this possible, Stable Diffusion incorporates a machine learning algorithm that we call deep learning. This is what allows the model to interpret the text, its word combinations and improve its own ability to generate images. There are two ways of using Stable Diffusion.
Online version: the web version is a simpler way to access Stable Diffusion. On any computer, a user can create images using this version. However, as it is a free trial version for users, it is the most basic form of the model, offering limited resources.
Download version: download Stable Diffusion locally, following the developer's recommendations, which include using a more powerful video card and a substantial amount of memory to optimize the available resources. However, the significant disadvantage lies in the complicated installation process, which may require a manual for less tech-savvy users.
How much does Stable Diffusion cost?
Stable Diffusion has a permanent free version, which means you don't have to register a credit card for subsequent charges.
However, if you want to use Stable Diffusion AI Image Generator PRO, you'll have to shell out US$8.33. This way you can take advantage of the platform without ads, without a watermark and with features for faster, higher quality image generation.
How should I write Prompts in Stable Diffusion?
To use Stable Diffusion in the best possible way, you need to understand how to build prompts that work within the platform and produce the desired result.
So take note of these three tips that will optimize image production with AI.
Writing in English
Stable Diffusion is a platform that uses English as the base language for prompts. prompts. There are others that allow you to configure the language, such as ChatGPT, but to achieve the desired result in Stable Diffusion you need to write in English.
This in itself represents a challenge for those who are not fluent in English. To write commands, the user can use a translation tool (Google Translate) or a tool for producing texts in English (Grammarly).
Describe in detail
To show how important this is, follow the example below.
- A set table.
- A wooden table covered with a white tablecloth. On top of the tablecloth, we see white plates with folded cloth napkins. Next to the plates, silver cutlery and glass goblets. The table is decorated with white candles and white flowers.
Both call for something similar, a set table. However, the second prompt has more details that will help the machine generate something more like what you want.
Without these details, the AI can generate any table setting, with any elements and colors. The chances of producing something completely different from what the user needs are higher. So write a lot and give Stable Diffusion a good direction.
Watch out for contradictions
One of the most common problems when writing a prompt is the existence of information that doesn't follow the same logic. Find the fault in the example below.
- A boat sailing calmly on the sea. The boat is made of wood, with white sails and is in a storm with dark clouds, big waves and lightning.
Have you found the contradiction? A boat sailing calmly in the middle of a storm presents a logic that can confuse the machine. Should the sea be still or rough? Should the sails be slightly inflated or flapping furiously? Do you see how this can create a problem?
For this reason, when writing a command, pay attention to the details of the logic. Think carefully about the words you use to describe the central element and the surrounding scenery.
What is the Disadvantage of Stable Diffusion?
Stable Diffusion produces high-quality images, but it falls a little short when it comes to human realism. Some productions have characteristics that are not very harmonious and may be strange to the user.
Another point that can weigh on the decision of whether or not to use the platform is the use of negative prompts. These negative commands help the machine know what you don't want in an image, but it's still a feature in development. It can therefore present errors.
Conclusion
Now you know how to move the pieces on the Stable Diffusion board. Then you're ready to use the platform and test its image generative features.
But if you need a more complete solution with text, image and video generation, as well as editing options for images, we have a more suitable option: Tess AI, Pareto's artificial intelligence.
With Tess AI you can generate all the content your business needs to grow. Get to know the platform and be amazed!
