What Are Negative Prompts In Stable Diffusion (Stable diffusion negative prompt list)

What Are Negative Prompts In Stable Diffusion (Stable diffusion negative prompt list):Stable Diffusion is an open-source AI image generator program that utilizes text prompts to produce images. The tool has quickly gained in popularity among artists and designers due to its flexibility and high-quality output, drawing particular interest from those working in art or design. What sets Stable Diffusion apart is its use of negative prompts; users can specify exactly what they do not want to be included in generated images through negative prompts; this enables the diffusion process away from unwanted features allowing you to create images that meet specific criteria more quickly. In this article we will explore what negative prompts are in Stable Diffusion as well as their benefits when used effectively in creating high-quality output images.

. In this post, we’ll dive into what negative prompts are in stable diffusion and how you can use them effectively, while also exploring some potential risks associated with their use. So let’s get started!

What Are Negative Prompts In Stable Diffusion?

Stable Diffusion is an efficient tool for creating photorealistic images with artificial intelligence. One of the key parameters in Stable Diffusion is negative prompts. Negative prompts guide the AI model not to include certain things from given texts in generated images; for instance if prompt is “dog” but black is used as negative prompt, then generated image will include dogs but no black dogs.

Negative prompts work by steering the diffusion process away from certain features that a user doesn’t want in their image, effectively training an AI model not to generate images with these features. Since diffusion occurs in latent space rather than images directly, this influence on training the AI model also applies indirectly to image generation processes.

Negative prompts can be entered in the input box in Stable Diffusion GUI or web services and used to prevent certain things, styles, or image abnormalities from being generated or fixed. Negative prompts may also include abstract negative-image concepts like blurry and pixelated to theoretically improve images.

Negative prompts differ significantly from their positive counterparts in that positive prompts lead the audience toward images associated with it, while negative prompts divert them away from it. Furthermore, negative prompt boxes don’t have any restrictions or limits like their positive prompt counterparts (which have a 75 token limit).

What is stable diffusion?

Stable Diffusion, developed in August 2022 by startup Stability AI with academic researchers and non-profit organizations, is a deep learning text-to-image model released in August. Primarily used to generate detailed images based on text descriptions, this model can also be applied for tasks like inpainting/outpainting as well as creating image translations guided by text prompts.

Stable Diffusion is an artificial intelligence (AI) model based on deep learning, which is a branch of artificial intelligence (AI). Deep learning allows computers to think like humans via neural networks. You can either download Stable Diffusion from GitHub and install it locally on your PC, or use Stable Diffusion Online which is an online service enabling you to generate images by entering text prompts.

Every image created with Stable Diffusion contains an individual identity known as its Seed; this represents both its representation and master key for reproduction of that image with multiple variations. Anyone possessing its Seed can reproduce exactly the same image by changing some key aspects.

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

Stable Diffusion and Dream Studio are AI tools that allow users to generate images from text input. Negative prompts can be utilized by these AI programs in both to exclude specific elements, styles or environments during image generation. Here are some tips for using negative prompts in these tools:

Stable Diffusion version 2.0 recommends that negative prompts be utilized. To implement these prompts, add a negative number (prompt weight) before each prompt with a colon (:). Typically weights should fall between the ranges of -2.0 to 2.0; however you can go up to +/- 10 and still include negative prompts in your analysis. To include negative prompts simply click on “ADD MODIFIERS”, scroll down to “Negative Prompts”, and select all negative prompts you want included before clicking “CREATE”. Once finished click “CREATE” button and see the final image that results!

Dream Studio uses negative prompts by including a weight with a colon (:). Weights must fall within the range of -2.0 to 2.0; however, you can use up to + or – 10. To test its effectiveness, insert an irrelevant word as your negative prompt and observe what results from its presence – similar results to when nothing was included at all!

To use negative prompts in Stable Diffusion and Dream Studio, add a negative weight with a single colon (:), select which negative prompts you want included and create an image. For optimal results it is advised that Stable Diffusion version 2.0 be used when adding negative prompts.

what have you found to be the best negative prompts? what have you all been using?
by u/pyr0kid in StableDiffusion

Universal Negative Prompt List For Stable Diffusion

Negative prompts may not always be necessary or useful in creating high-quality images with Stable Diffusion, as one user noted; too many negative prompts may actually limit creativity of AI and produce less captivating results.

Though there are various resources for finding negative prompts for Stable Diffusion, it is still essential to experiment and find prompts which best meet your unique needs and goals.

Stable diffusion negative prompt list

  • cloned face
  • watermark
  • too many fingers
  • lowres
  • long neck
  • missing legs
  • dehydrated
  • bad anatomy
  • poorly drawn face
  • extra arms
  • mutation
  • blurry
  • text
  • out of frame
  • fused fingers
  • gross proportions
  • mutated hands
  • extra limbs
  • duplicate
  • ugly
  • bad proportions
  • signature
  • username
  • error
  • extra legs
  • mutilated
  • missing arms
  • worst quality
  • cropped
  • jpeg artifacts
  • disfigured
  • extra fingers
  • low quality
  • deformed
  • malformed limbs
  • morbid
  • poorly drawn hands

Are there any risks associated with negative prompts in stable diffusion?

As with anything, there are risks and ethical repercussions associated with using negative prompts in Stable Diffusion. Negative prompts are used to exclude certain elements, styles or environments during image creation; however they may perpetuate biases or harmful stereotypes if used against certain races, genders or body types; moreover they limit creativity by taking away elements that could inspire creativity or artistic expression from images created using them.

Negative prompts must be used responsibly and thoughtfully, as they should only be used to exclude unneeded sections of an image from being shown. Furthermore, one should avoid negative prompts which exclude entire groups or promote stereotypes. Some Stable Diffusion GUI or web services offer negative prompts but users must make sure the input box is available before using these prompts sparingly; also users should consider potential risks and adverse consequences when using negative prompts in Stable Diffusion.


Q: What is Stable Diffusion?

A: Stable Diffusion is an AI tool that uses a diffusion process to create high-quality images from a starting “noise” image. It is based on the diffusion process used in physics and works by gradually reducing the noise in the image over a series of steps. The resulting image is generated based on a given prompt and can be further refined using negative prompts.

Q: What is a negative prompt in Stable Diffusion?

A: A negative prompt in Stable Diffusion is a way to specify what the AI should not include in the generated image. It is a parameter that tells the AI model what to exclude from the image generation process. Negative prompts can be used in conjunction with regular prompts to refine the generated images further.

Q: How do I use negative prompts in Stable Diffusion?

A: To use negative prompts in Stable Diffusion, you can input them in a separate section in the GUI or web service that you are using. For example, in AUTOMATIC1111, you can enter negative prompts right below where you enter the regular prompts. Different GUIs or web services may have different methods for entering negative prompts.

Q: How do negative prompts influence the image generation process in Stable Diffusion?

A: Negative prompts act as a high-dimensional anchor that influences the image generation process by telling the AI model what not to include in the generated image. By excluding certain elements from the generated image, negative prompts can help refine and improve the quality of the resulting image.

Q: Can negative prompts improve the quality of generated images in Stable Diffusion?

A: Yes, negative prompts can improve the quality of generated images in Stable Diffusion by excluding unwanted elements from the image generation process. By refining the AI model’s understanding of what is desired in the generated image, negative prompts can help produce higher-quality and more desirable results.

Q: Is there a limit to the number of negative prompts I can use in Stable Diffusion?

A: There is no specific limit to the number of negative prompts that can be used in Stable Diffusion. However, it is recommended to use negative prompts sparingly and only when necessary to avoid over-specifying the image generation process and limiting the AI model’s ability to produce creative and varied results.

Q: Can I use negative prompts to exclude specific colors or visual elements from the generated image in Stable Diffusion?

A: Yes, negative prompts can be used to exclude specific colors or visual elements from the generated image in Stable Diffusion. By including specific words or phrases in the negative prompt section, you can tell the AI model to avoid certain colors, shapes, or visual elements in the generated image.



Note that negative prompts do not have the same restrictions as prompts; prompts are limited to 75 tokens while negative prompts have no such limit. Still, it is essential to carefully consider their use since their impact could have significant ramifications on image creation.

Stable Diffusion parameters such as denoising steps and sampling methods also play a vital role in creating high-quality images, so it is recommended to test negative prompts on a simple base model first before applying them to more complex prompts.

Stable Diffusion’s negative prompt feature is an invaluable asset that helps users produce high-quality images while eliminating unwanted elements. By carefully choosing and testing negative prompts, users can generate images that meet both their requirements and creative vision.

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