There is a technique in prompting which is called negative prompting. Stable Diffusion allows you to use negative prompting and make your images more efficient and attractive. Negative prompting is used to remove unnecessary items, or objects or to remove a person in an image.
If you want to use negative prompting in your images to look stunning, then in this article, I will tell you how you can use the Stable Diffusion negative prompts also I’ll give you some negative prompts that you can use in stable Diffusion and generate wonderful realistic images.
How to use a Negative Prompt in Stable Diffusion?
You can use a negative prompt in Stable Diffusion by following this method are as follows:
- Visit the website of Stable Diffusion and create an account on it.
- Then, click on “Get Started for free”.
- Write the prompt in the prompt box and also add some negative prompts, you will also select some prompts that I discussed in this article.
- Select the style of your art.
- Manage some more settings such as seed, sampling method, etc.
- Then, click on Generate image.
If you want state-of-the-art AI images then you have to write a detailed and specific prompt. Write the prompt of that image which is in your head and describe it in detail.
Examples of Stable Diffusion Negative Prompts
You can exclude things in an image by using negative prompts such as blurriness, duplicate face, low brightness, increase the contrast, and modify the image as you want.
These are the negative words that you can use in Stable Diffusion to make your images more stunning and magnificent. Here are some negative prompts which you can use in Stable Diffusion to generate AI images are as follows:
Artistic Images
- Chaotic
- Confusing
- Unbalanced
- Disjointed
- Incoherent
- Overwhelming
- Unstructured
- Cluttered
- Unfocused
- Incomplete
- Unrefined
- Sterile
- Stagnant
- Repetitive
- Unoriginal
- Impersonal
- Unexpressive
- Uninspired
- Unimaginative
- Contrived
For Portraits
- Blurry
- Distorted
- Unnatural
- Unclear
- Mismatched
- Unbalanced
- Unfocused
- Disproportionate
- Inaccurate
- Unpleasant
- Unflattering
- Unsettling
- Pixelated
- Noisy
- Artifacts
- Unrealistic
- Inconsistent
- Indistinct
- Unfinished
- Flat
Landscapes
- Dull
- Lifeless
- Uninspiring
- Monotonous
- Chaotic
- Cluttered
- Unfocused
- Overexposed
- Underexposed
- Washed-out
- Unbalanced
- Unnatural
- Jagged
- Uncoordinated
- Flat
- Bland
- Unappealing
- Unremarkable
- Disjointed
- Hazy
Photography
- Blurry
- Grainy
- Underexposed
- Overexposed
- Unfocused
- Noisy
- Flat
- Washed-out
- Mismatched
- Unbalanced
- Unappealing
- Unflattering
- Distorted
- Dull
- Lifeless
- Uninteresting
- Uninspired
- Poorly Framed
- Unremarkable
- Awkward
Painting & Sketching
- Unfinished
- Unpolished
- Incomplete
- Messy
- Unrefined
- Unclear
- Sloppy
- Amateurish
- Uncoordinated
- Unbalanced
- Muddled
- Unexpressive
- Lacking Depth
- Uninspired
- Overworked
- Cluttered
- Inconsistent
- Unappealing
- Awkward
- Stiff
Conclusion
These are the Stable Diffusion’s best negative prompts that I mention in this article. Everyone can use these prompts and make their images like a pro. The quality of your images is highly dependent upon the prompt you gave to the Stable Diffusion.
The negative prompts that I mentioned in the article depend upon the type of art you want to generate. Some words are repeated because they work in multiple genres. You can generate any type of image by giving the right prompt.
Also, Check: Top 5 Tools To Generate Stable Diffusion Prompts 2023
FAQs
What is Stable Diffusion?
Stable Diffusion is an AI power tool that generates images from the textual prompt and it can also generate images to images. You just have to give the prompt and the rest of the work is done by this tool efficiently.
What are Negative Prompts in Stable Diffusion?
Negative Prompt are those things which don’t want in your image. In Stable Diffusion, there is a separate box for the negative prompting on which you can type those things that you don’t need in your image anymore.
How many characters do you type in Stable Diffusion?
The limit of the prompt character depends from model to model. But, Stable Diffusion 2.0 supports 77 tokens per prompt.