Negative Prompts in Stable Diffusion: A Beginner’s Guide [September 2023]

Stable Diffusion is a deep learning thing that helps make pictures from words. It came out in 2022.

To use Stable Diffusion and make your own pictures, you need to know some special things about it. One of these special things is called ” Negative Prompts in Stable Diffusion

It’s really good at making pictures that match what someone writes in words. But it can also do other stuff like fixing or making parts of pictures and changing pictures to look different based on what someone writes.

This guide will show you what a negative prompt is when using Stable Diffusion. It will teach you how to use it to make super nice pictures that you want. Oh, and don’t forget to check out our post about best stable diffusion anime prompts ideas. You can even try making some cool pictures yourself!

Let’s start having fun with Stable Diffusion!

Understanding Stable Diffusion

Imagine you have a group of friends, and you want to share some exciting news. You tell a few friends, and they tell their friends, who tell even more friends, creating a chain reaction.

This process of sharing information is a bit like what happens in stable diffusion. It’s like dropping a pebble in a pond and watching the ripples spread.

Stable diffusion is a smart way that computers use to understand how things spread in networks, like how ideas move through a group of people or how a trend becomes popular.

Just like how your news spreads through your friends, computers use math to figure out how information spreads through connections between things, called nodes, in a network.

What is Negative Prompt In Stable Diffusion?

Now, let’s talk about negative prompts  in Stable Diffusion. Imagine you and your friends are planning a surprise party. Most of your friends are excited and want to keep it a secret. But, there might be one friend who accidentally spills the beans or isn’t very good at keeping secrets. This friend can be like a negative prompt in our stable diffusion story.

Negative Prompts in Stable Diffusion are like those friends who make things a bit more interesting. They start with the opposite of what you want to spread. While positive prompts are like your friends who are excited about the surprise party, negative prompts in Stable Diffusion are like the friend who accidentally blurts it out.

They create a balance by showing how some people might not agree with the information or might act differently.

Why Negative Prompts Matter

Think of it this way: if everyone always agrees and does the same thing, it might not be very realistic, right?

In the real world, people have different opinions and reactions. Negative prompts in Stable Diffusion help computers understand how things spread when there’s a mix of excitement and skepticism.

Step-by-Step Guide to Generating Stable Diffusion Prompts with ChatGPT 2023

Now, let’s picture this in the world of superheroes. Imagine a superhero saving the day, and most people cheer for them. But there might be a few people who aren’t so sure about the superhero’s abilities.

These few doubters act like negative prompts in our superhero story. Understanding how these doubts spread can help us see a bigger picture of what’s happening.

Positive Prompts Vs Negative Prompts

In the grand story of stable diffusion, positive prompts start the excitement, and negative prompts add a touch of reality.

They work together like the pieces of a puzzle to give computers a complete view of how things spread through networks. Just like mixing colors makes a beautiful painting, mixing positive and negative prompts in Stable Diffusion makes a more accurate picture of how information travels.

Remember, computers use these ideas to help scientists, businesses, and even superheroes (well, sort of!) understand how things work in the world. So, next time you hear about stable diffusion and negative prompts, you’ll know it’s all about how information moves around, just like whispers in a game of telephone!

How To Use Negative Prompts In Stable Diffusion or Dream Studio?

While you may have grasped the concept of utilizing negative prompts  in the context of Stable Diffusion, let’s delve further into this topic with additional examples. By the end of this exploration, you will be equipped with an entire array of negative prompts in Stable Diffusion, which can be employed to either eliminate specific elements or enhance the quality of your images.

As outlined in the documentation provided by stability.ai, experimenting with negative prompts in Stable Diffusion is a straightforward process. All you need to do is integrate “| negative prompt>: -1.0″ within your prompts when working in DreamStudio or applying Stable Diffusion. For instance, you could employ prompts like “| deformed, ugly: -1.0” or “The error “-1.0, too many fingers:-1.0” to address issues related to generating excessive finger counts, offering a practical solution.

Now, let’s explore Negative Prompts in Stable Diffusion through another illustrative example.

Positive Prompt for Cat Image: “Generate an adorable image of a playful cat, sitting on a sunny windowsill, surrounded by potted plants.”

stable diffusion positive prompts

With this positive prompt, you’re instructing the AI to create an image of a cat in a specific setting, evoking a cheerful and heartwarming vibe.

Negative Prompt to Enhance the Cat Image: “Generate a version of the cat image where the lighting is slightly dimmer and the colors are more subdued, giving it a cozy and relaxed atmosphere.”

stable diffusion negative prompts

By introducing a negative prompt, you’re instructing the AI to modify the initial image to match a different mood – in this case, making it appear more comfortable and relaxed.

Example #2: A Visual Exploration

Direct your gaze to the intriguing scenario below, showcasing the remarkable impact of prompts on AI-generated imagery.

Initial Depiction with Positive Prompt: In the maiden portrayal, an enchanting panorama unfurls before us. German architecture stands amidst a tapestry of verdant bushes and towering trees. A simple positive prompt guided the AI, yielding a scene where the harmony of nature coalesces harmoniously with human design.

Altered Depiction with Negative Prompt: Now, prepare to journey into a transformative realm sculpted by the influence of a negative prompt. Behold, an alternate iteration materializes before your eyes. The once-dominant trees retreat, bestowing prominence upon other facets of the composition. This beguiling metamorphosis vividly exemplifies how the introduction of a negative prompt can artfully recalibrate an image’s essence.

Stable diffusion MultiPrompting

Note:
It’s important to note that the negative prompts seed and CFG scale aren’t presented as distinct options within DreamStudio. However, the negative prompt syntax detailed above remains applicable within Dream Studio.
On the other hand, the subsequent negative prompt parameters find their utility within Stability Diffusion’s dedicated negative prompt panel. By the way, it’s strongly advisable to embrace the use of negative prompts within Stable Diffusion v2.0. This version promises an enhanced and enriched experience when employing negative prompts.

Complete Negative Prompt List For Stable Diffusion

Here’s the complete list of negative prompts in Stable Diffusion that you can utilize in Stable Diffusion to eliminate specific elements from an image:

Universal Negative Prompts in Stable Diffusion

  1. Bad anatomy
  2. Bad proportions
  3. Blurry
  4. Cloned face
  5. Cropped
  6. Deformed
  7. Dehydrated
  8. Disfigured
  9. Duplicate
  10. Error
  11. Extra arms
  12. Extra fingers
  13. Extra legs
  14. Extra limbs
  15. Fused fingers
  16. Gross proportions
  17. JPEG artifacts
  18. Long neck
  19. Low quality
  20. Lowres
  21. Malformed limbs
  22. Missing arms
  23. Missing legs
  24. Morbid
  25. Mutated hands
  26. Mutation
  27. Mutilated
  28. Out of frame
  29. Poorly drawn face
  30. Poorly drawn hands
  31. Signature
  32. Text
  33. Too many fingers
  34. Ugly
  35. Username
  36. Watermark
  37. Worst quality

Top 30 Best Stable Diffusion Prompts for Age

General Negative Prompts for Better Images

  1. Imperfect lighting
  2. Unwanted reflections
  3. Blurry details
  4. Uneven texture
  5. Poor focus
  6. Excessive noise
  7. Distracting background
  8. Inaccurate colors
  9. Distorted proportions
  10. Overexposed areas
  11. Underexposed areas
  12. Unwanted artifacts
  13. Unbalanced composition
  14. Harsh shadows
  15. Unwanted glare
  16. Jagged edges
  17. Unwanted objects
  18. Unwanted textures
  19. Lack of clarity
  20. Uneven contrast
  21. Unwanted highlights
  22. Unwanted shadows
  23. Overwhelming saturation
  24. Unwanted blurriness
  25. Unwanted distortion
  26. Unwanted vignetting
  27. Misaligned elements
  28. Poor framing
  29. Overwhelming brightness
  30. Overwhelming darkness
  31. Unintended motion blur
  32. Unwanted chromatic aberration
  33. Uneven skin tones
  34. Unwanted lens distortion
  35. Unwanted lens vignetting
  36. Unwanted perspective distortion
  37. Unwanted background distractions
  38. Cluttered composition
  39. Unwanted lens glare
  40. Unwanted light leaks
  41. Unwanted double exposure
  42. Unwanted bokeh effects
  43. Unwanted reflections on glass surfaces
  44. Unwanted color casts
  45. Unwanted moiré patterns
  46. Unwanted reflections on water surfaces
  47. Unwanted lens flares
  48. Unwanted lens reflections
  49. Unwanted color bleeding
  50. Unwanted noise reduction artifacts
  51. Unwanted compression artifacts
  52. Unwanted focus shifts
  53. Unwanted color fringing
  54. Unwanted graininess
  55. Unwanted pixelation
  56. Unwanted ghosting effects
  57. Unwanted halos
  58. Unwanted sharpening artifacts
  59. Unwanted edge enhancement
  60. Unwanted saturation boosting
  61. Unwanted posterization
  62. Unwanted loss of detail
  63. Unwanted HDR artifacts
  64. Unwanted vignette effects
  65. Unwanted motion artifacts
  66. Unwanted lens softness
  67. Unwanted depth of field issues
  68. Unwanted lens distortion
  69. Unwanted color shifts
  70. Unwanted lens haze
  71. Unwanted lens diffraction
  72. Unwanted light falloff
  73. Unwanted specular highlights
  74. Unwanted lens bloom
  75. Unwanted barrel distortion
  76. Unwanted pincushion distortion
  77. Unwanted fisheye effect
  78. Unwanted radial blur
  79. Unwanted chromatic noise
  80. Unwanted color banding
  81. Unwanted color noise
  82. Unwanted lens aberrations

 

Negative Prompts For Landscapes:

  1. Blurry
  2. Boring
  3. Close-up
  4. Dark (optional)
  5. Details are low
  6. Distorted details
  7. Eerie
  8. Foggy (optional)
  9. Gloomy (optional)
  10. Grains
  11. Grainy
  12. Grayscale (optional)
  13. Homogenous
  14. Low contrast
  15. Low quality
  16. Lowres
  17. Macro
  18. Monochrome (optional)
  19. Multiple angles
  20. Multiple views
  21. Opaque
  22. Overexposed
  23. Oversaturated
  24. Plain
  25. Plain background
  26. Portrait
  27. Simple background
  28. Standard
  29. Surreal
  30. Unattractive
  31. Uncreative
  32. Underexposed

Negative Prompts For Cityscapes and Street Views:

  1. Animals (optional)
  2. Asymmetrical buildings
  3. Blurry
  4. Cars (optional)
  5. Close-up
  6. Creepy
  7. Deformed structures
  8. Grainy
  9. Jpeg artifacts
  10. Low contrast
  11. Low quality
  12. Lowres
  13. Macro
  14. Multiple angles
  15. Multiple views
  16. Overexposed
  17. Oversaturated
  18. People (optional)
  19. Pets (optional)
  20. Plain background
  21. Scary
  22. Solid background
  23. Surreal
  24. Underexposed
  25. Unreal architecture
  26. Unreal sky
  27. Weird colors

Negative Prompts For Portrait Shots of People and Pets:

  1. 3D
  2. Absent limbs
  3. Additional appendages
  4. Additional digits
  5. Additional limbs
  6. Altered appendages
  7. Amputee
  8. Asymmetric
  9. Asymmetric ears
  10. Bad anatomy
  11. Bad ears
  12. Bad eyes
  13. Bad face
  14. Bad proportions
  15. Beard (optional)
  16. Broken finger
  17. Broken hand
  18. Broken leg
  19. Broken wrist
  20. Cartoon
  21. Childish (optional)
  22. Cloned face
  23. Cloned head
  24. Collapsed eyeshadow
  25. Combined appendages
  26. Conjoined
  27. Copied visage
  28. Corpse
  29. Cripple
  30. Cropped head
  31. Cross-eyed
  32. Depressed
  33. Desiccated
  34. Disconnected limb
  35. Disfigured
  36. Dismembered
  37. Disproportionate
  38. Double face
  39. Duplicated features
  40. Eerie
  41. Elongated throat

Negative Prompts for Inanimate Objects:

  1. Absent parts
  2. Added components
  3. Asymmetrical design
  4. Broken
  5. Cartoonish
  6. Cloned
  7. Collapsed
  8. Distorted perspective
  9. Extra pieces
  10. Faded color
  11. Flawed shape
  12. Flipped
  13. Folded
  14. Improper proportion
  15. Incomplete geometry
  16. Inverted
  17. Kitsch
  18. Low quality
  19. Low resolution
  20. Macabre
  21. Misaligned parts
  22. Misshapen
  23. Missing parts
  24. Mutated
  25. Out of focus
  26. Over-saturated color
  27. Overexposed
  28. Oversized
  29. Poorly rendered
  30. Unrealistic
  31. Upside down

Negative Prompts for Nature and Wildlife Photography:

  1. Abstract
  2. Amputated animal
  3. Artificial
  4. Asymmetrical
  5. Bad anatomy
  6. Cartoon
  7. Cloned
  8. Collapsed
  9. Deformed
  10. Distorted
  11. Extra limbs
  12. Fantasy
  13. Foggy
  14. Grainy
  15. Incomplete
  16. Low quality
  17. Low resolution
  18. Lowres
  19. Malformed
  20. Missing parts
  21. Monochrome
  22. Mutated
  23. Over-saturated color
  24. Overexposed
  25. Photoshopped
  26. Scary
  27. Silhouette
  28. Sketch
  29. Surreal
  30. Twisted
  31. Unreal engine

Negative Prompts for Creating Abstract Art:

  1. 3D render
  2. Anatomically correct
  3. Asymmetrical
  4. Cartoon characters
  5. Cityscape
  6. Concrete
  7. Detailed
  8. Faces
  9. Figurative
  10. Human figure
  11. Landscape
  12. Literal
  13. Low resolution
  14. Lowres
  15. Monochrome
  16. People
  17. Photorealistic
  18. Portrait
  19. Realistic
  20. Scenery
  21. Sharp edges
  22. Sketch
  23. Symmetrical
  24. Text

Negative Prompts for Creating Pictures of Food:

  1. Asymmetrical
  2. Badly cooked
  3. Black and white
  4. Blurry
  5. Burnt
  6. Cartoon
  7. CGI
  8. Cold
  9. Dark
  10. Distorted
  11. Expired
  12. Grainy
  13. Human parts
  14. Incomplete
  15. Low resolution
  16. Lowres
  17. Moldy
  18. Mutated
  19. Overcooked
  20. Oversaturated
  21. Rotten
  22. Sculpture
  23. Sketch
  24. Soggy
  25. Sour
  26. Stale
  27. Undercooked
  28. Unfocused
  29. Unrealistic
  30. Upside down

Feel free to utilize these negative prompts to craft more realistic and tailored AI-generated images across various contexts in Stable Diffusion.

We trust that our guide has effectively illuminated the negative prompts parameter within Stable Diffusion. With this newfound understanding, we encourage you to apply your knowledge to create artworks of even greater impact and excellence.

Stay tuned for something special!

In conclusion, the integration of negative prompts in the stable diffusion methodology presents a potent instrument for data analysis. This approach elevates the comprehension of intricate patterns and emerging trends.

By harmonizing the recognition of presence and absence, analysts can unveil concealed insights that might otherwise elude discovery. In an era of evolving technology, mastering the skill of harnessing negative prompts stands as an indispensable asset.

It empowers the extraction of meaningful information from the labyrinthine intricacies of complex datasets.

FAQs:

 What is stable diffusion?

Stable diffusion signifies a data analysis technique that harnesses prompts to unveil latent patterns within datasets.

 How do negative prompts enhance model performance?

Negative prompts empower models to discern instances exhibiting desired attributes as well as deviations from those attributes. This holistic learning amplifies model performance and resilience.

 Are there instances where negative prompts should be circumvented?

Caution should be exercised while employing negative prompts to avoid potential biases or overshadowing positive instances.

 How can data imbalance issues be mitigated when using negative prompts?

Data imbalance concerns can be addressed through tactics such as oversampling of negative instances or adopting fitting evaluation metrics that factor in the imbalance.

 Where can I delve deeper into stable diffusion and its applications?

For a deeper exploration of stable diffusion and its array of applications, further resources can be accessed through the Stable Diffusion Docs.

 

PrimeAIPrompts.com is a group of people who really like AI and know a lot about it. They want to help others learn about AI and use it for their own projects. They make really good prompts and tutorials that explain how to use AI in a way that's easy to understand. Their main aim is to make AI available to everyone and encourage people to use it responsibly. They think that by giving out helpful prompts and tutorials, they can help people get the most out of AI and come up with new ideas in different fields.

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