Stable Diffusion Negative Prompts and How to Use Them
Negative prompts are a type of input that can be used with AI image generation models to specify what should not be included in the generated image. These prompts can be used to fine-tune the output of the model and to ensure that it does not generate images that contain certain elements or features.
Since its official release in August 2022, the Stable Diffusion AI image generator has become a useful tool for generating artificial intelligence pieces of art. Novice and seasoned artists are using it to advance their careers and to add more creativity to their work. To take full advantage of this text-to-image AI art generator, you need to understand how it works.
For instance, you need to know how to use Stable Diffusion negative prompts to improve the quality of your outputs. Negative prompts play a significant role in enhancing image quality and ensuring that the unnecessary elements of your images are removed before you generate the final output.
But how do you use Stable Diffusion negative prompts? This is an important concern, especially when you’re using Stable Diffusion for commercial purposes. Fortunately, this article will answer this and other related concerns.
What Are Stable Diffusion Negative Prompts?
Stable Diffusion negative prompts are additional capabilities that you can incorporate into the Stable Diffusion model to let it know what you don’t need to have in your final images. This feature has become very popular among AI artists because it enables them to get rid of the unwanted parts of the image before they generate the final product.
They are parameters that inform your AI art generator about what’s not necessary for your final yields. They also guide the image generation process, ensuring that the final image is generated according to the provided text prompts. In fact, negative prompts are part of the overall Stable Diffusion prompt engineering guide.
These prompts can prevent the AI generator from producing certain elements and styles, as well as fix certain abnormalities in your images thus ensuring that the final yield is exactly what you had in mind.
Understanding How Negative Prompts Work
Let’s step back to get a better grasp of what negative prompts are and how they improve the results of generative image models.
To set the stage let’s cover how models like stable diffusion are trained. That basically happens with a combination of supervised and unsupervised learning where the model is presented with pairs of images and their corresponding labels that describe what the image is.
The key takeaway is that the model learns to associate certain images with certain text.
Then, when you interact with the model by providing a prompt, it reaches into it’s knowledge of the words you use and the images it has learned to associate with those words.
Now, a negative prompt works exactly the same except for one crucial difference. The model will look at the things it associates with the negative prompt and not use those in the image it generates.
So, you can think of it like telling the model “show me this, but not this.”
How to Use Stable Diffusion Negative Prompts
Using negative prompts with NightCafe is a great way to challenge your creativity and come up with unique and original art. Here's how to do it:
Input a text prompt describing what you want NightCafe to generate. This can be a specific theme, concept, or idea that you want the AI to interpret and turn into an image.
Click on the "ADD MODIFIERS" button and scroll down to the "Negative Prompts" subsection.
Select all of the negative prompts that you want to include. Remember, negative prompts tell the AI what should not be included in the resulting image.
Once you've selected all of your negative prompts, click the "CREATE" button to see the resulting image. Keep in mind that the specific capabilities and limitations of NightCafe may vary, so it may not be possible to generate an image for every available negative prompt.
One important thing to keep in mind when using negative prompts with NightCafe is that adjusting the prompt weight can have a big impact on the resulting image. The prompt weight determines how much influence a particular prompt has on the AI's output, with higher weights resulting in a stronger emphasis on that prompt. This means that you can use the prompt weight to fine-tune the balance between the positive and negative prompts in your input, which can help you achieve better results.