Stable Diffusion is a method in artificial intelligence and machine learning that makes sure information spreads reliably through a system. In this case, prompts are guidelines given to a model to help it create the desired result.
Negative prompts represent directives that guide the model on what to steer off or what actions to avoid. These directives hold value as they aid the model in steering errors and enhancing its overall performance.
This article explains what prompts are, why they are important, and provides a list of negative prompts. This information can help make your AI models more accurate and efficient.
Understanding Negative Prompts
What Are Negative Prompts?
Instructions called prompts are provided to an AI model to instruct it on what to avoid or leave out when creating an output. While regular prompts guide the model on what to include, negative prompts help ensure that certain unwanted elements or errors are left out.
Commonly Used Negative Prompts
Negative prompts in Stable Diffusion help the AI avoid making images with things you don’t want. By telling the AI what to avoid, you can make the images better and more relevant.
Here is a list of commonly used words that can help you create effective negative prompts for Stable Diffusion. These words help the AI understand what you don’t want in your images.
Here is the provided data presented in one table:
| Category | Items |
|---|---|
| Objects and Elements | Cars, Animals, Trees, People, Buildings, Weapons |
| Colors | Red, Blue, Dark colors, Bright colors |
| Styles | Cartoon, Abstract, Pixel art, Vintage |
| Moods and Emotions | Sad, Angry, Scary, Dark themes |
| Backgrounds and Settings | city, urban, indoor, beach, forest |
| Character Traits | Old, Young, Facial hair, Glasses, Hats |
| Actions and Activities | Running, Swimming, Flying, Eating |
Prompt used:
In a lush green garden, a cute robot is planting a tree surrounded by colorful flowers and vibrant plants, under a clear blue sky. The scene is heartwarming and cheerful, featuring nature, greenery, bright colors, and a friendly expression on the robot's small metallic form. It embodies a futuristic, eco-friendly environment in springtime sunlight, with whimsical, playful details and high-resolution digital art capturing the joyful atmosphere. The garden tools, soil, and tender care in soft lighting create a charming outdoor setting in an enchanting, vivid, family-friendly cartoonish style.
Negative prompt:
cars, people, buildings, and animals
Using these words in your negative prompts can help you steer the AI away from generating unwanted elements in your images.
Stable Diffusion Negative Prompts For Proper Human Anatomy
Here is a list of negative prompts you can use in Stable Diffusion to ensure proper human anatomy in your generated images. These prompts help guide the AI to avoid common issues and mistakes in human figures.
Here is the provided data presented in one table:
| Category | Items |
|---|---|
| General Anatomy | Distorted limbs, Extra limbs, Missing limbs, Oversized hands, Oversized feet |
| Faces and Features | Multiple eyes, Distorted faces, Missing eyes, Missing nose, Missing mouth |
| Proportions and Balance | Disproportionate body parts, Uneven shoulders, Awkward poses, Twisted limbs |
| Clothing and Accessories | Floating clothes, Mismatched clothing, Misplaced accessories |
| Specific Body Parts | Deformed hands, Deformed feet, Broken fingers, Abnormal neck |
Prompt used:
Depict a Pearlum swan gliding gracefully on a serene pond, surrounded by floating lotus flowers and lily pads. The reflective water surface enhances the tranquil atmosphere. The scene, made out of Pearlum, should be highly detailed and realistic. Use lora:Pearlum_World_Morph:1 and <lora UpgraderXL-v0.1> to maximize detail and realism.
Negative prompt:
deformed hands, broken fingers, deformed feet
Using these negative prompts can help you get images with proper human anatomy and avoid common issues that can arise in AI-generated images.
Stable Diffusion Negative Prompts For Realistic Images
Here is a list of things you can tell Stable Diffusion not to do when making images, so they look more real and less fake.
Certainly! Here is the provided data presented in one table:
| Category | Items |
|---|---|
| General Elements | Surreal, Cartoon, Fantasy, Abstract, Pixelated |
| Lighting and Colors | Unnatural lighting, Oversaturated colors, Neon colors, Black and white, Unrealistic shadows |
| Backgrounds and Settings | Imaginary settings, Floating objects, Unrealistic landscapes, Artificial backgrounds |
| Human Anatomy and Faces | Distorted faces, Multiple limbs, Exaggerated features, Unnatural expressions, Disproportionate bodies |
| Textures and Details | Blurry, Low resolution, Inconsistent textures, Unrealistic details |
| Objects and Props | Fictional objects, Anachronistic items, Impossible structures, Oversized props |
Prompt used:
Design a magical magazine cover with a beautiful Golden Pheasant resting elegantly on a rustic window ledge. The bird's striking gold and crimson feathers contrast with the soft, natural light streaming through the window. The scene should feature lush greenery outside, bathed in the warm glow of morning sunlight. Use a Nikon D850 to highlight vibrant details and a Fujifilm X-T4 for rich color. Add charm to the composition with elements like a selfie and lovely flowers.
Negative prompt:
abstract, pixelated, surreal
Using these negative prompts can help you create images that look natural and believable, avoiding elements that detract from realism.
Stable Diffusion Negative Prompts For SFW Images
Here is a list of negative prompts to ensure that the images generated by Stable Diffusion are safe for work (SFW). These prompts help the AI avoid creating inappropriate or explicit content.
Sure, here is the provided data presented in one table:
| Category | Items |
|---|---|
| Nudity and Explicit Content | nudity, explicit content, adult themes, sexual content, lingerie, revealing clothing |
| Violence and Gore | violence, blood, gore, weapons, fighting |
| Offensive or Inappropriate Themes | offensive language, hate symbols, drug use, alcohol, smoking |
| Scary or Disturbing Images | horror, scary faces, monsters, disturbing themes |
| Context and Settings | inappropriate settings, explicit poses, suggestive situations, provocative themes |
Prompt used:
Design a 3D scene with a charming pony rearing up, crafted entirely from sunflowers. The pony should feature a detailed face with expressive big eyes, a cheerful smile, and long eyelashes. Set the scene on an iced water ground that reflects the surroundings, and include elements such as a vibrant splash of colors, a slightly colorful sky, a tree, and a rainbow. Use detailed lighting, shadows, and sunlight to enhance the vibrancy and colorfulness of the scene. Capture the pony from a slightly side perspective, incorporating styles and details inspired by score_9, score_8_up, score_7_up, and 5unfl0w3r.
Negative prompt:
Blood, fighting, weapons, gore
Using these negative prompts can help you generate images that are appropriate for all audiences, ensuring they remain safe for work.
Stable Diffusion Negative Prompts For Landscape & Nature Images
Here is a list of negative prompts to help you generate realistic and appealing landscape and nature images using Stable Diffusion. These prompts guide the AI to avoid elements that can detract from the natural beauty of the scenes.
Certainly! Here is the provided data presented in one table:
| Category | Items |
|---|---|
| General Elements | buildings, cars, people, animals, man-made objects |
| Colors and Lighting | unnatural colors, neon colors, artificial lighting, dark shadows, overexposed areas |
| Backgrounds and Settings | urban settings, indoor scenes, industrial landscapes, fantasy landscapes |
| Plants and Vegetation | dead plants, artificial plants, oversized plants, distorted trees |
| Water Features | polluted water, artificial water bodies, unrealistic waves |
| Sky and Weather | stormy skies, unrealistic clouds, dark skies, unnatural weather |
| Specific Elements | floating objects, blurry details, low resolution, unrealistic textures |
Prompt used:
Capture a heartwarming moment of a fluffy greyish-red squirrel stretching from the trunk of a birch tree to gently touch a delicate white dandelion seed head. Set against a soft-focus green background, this scene highlights the gentle interaction of wildlife. Incorporate elements from lora:MJ52:0.4 and lora:SDXLFaeTastic2400:0.3.
Negative prompt:
Buildings, cars, People, man-made objects, cars
Using these negative prompts can help you create beautiful and natural landscapes and nature images, free from distracting or unnatural elements.
Stable Diffusion Negative Prompts For Objects
Here is a list of negative prompts to help you generate clear and accurate images of objects using Stable Diffusion. These prompts guide the AI to avoid elements that can distort or clutter the image.
Certainly! Here is the provided data presented in one table:
| Category | Items |
|---|---|
| General Elements | people, animals, background objects, complex backgrounds, multiple objects |
| Lighting and Colors | harsh shadows, overexposure, dark lighting, neon colors, color distortion |
| Backgrounds and Settings | cluttered backgrounds, indoor scenes, outdoor settings, irrelevant scenery, busy patterns |
| Object Condition | broken objects, dirty objects, damaged objects, distorted shapes, unrealistic features |
| Textures and Details | blurry textures, low resolution, inconsistent textures, unrealistic details |
| Specific Elements | abstract elements, surreal elements, fantasy elements, cartoon elements, exaggerated features |
Prompt used:
Illustrate a cute, translucent jelly girl wearing a kimono, practicing karate in a dojo. She is depicted as a stand user, summoning yellow jelly cubes. The scene takes place on a sunny summer day, featuring subsurface scattering and ray tracing to highlight her partially transparent skin. The artwork should focus on intricate details, especially the hands, and be of the best quality, dynamic, and professionally illustrated. Incorporate styles from <loraxl v9.1:1> and lora:sss:1.
Negative prompt:
abstract elements, fantasy elements, surreal elements, exaggerated features
Using these negative prompts can help you create clear and focused images of objects, free from distractions and distortions.
Frequently Asked Questions
Negative prompts are instructions that tell a model what to avoid or exclude when generating an output. They help improve the accuracy and relevance of the model’s results by specifying elements that should not be included.
Negative prompts are important because they guide the model to avoid common mistakes, irrelevant information, and unwanted elements. This helps in producing clearer, more accurate, and more relevant results.
To create effective negative prompts, analyze data to find common errors, collaborate with experts to understand what to avoid, write clear and specific instructions, test and refine the prompts regularly, and update the prompts as new data and requirements emerge.
Commonly used negative prompts include: “Do not include unrelated topics,” “Avoid repeating the same points,” “Do not mention confidential information,” “Do not use passive voice,” and “Avoid casual language; keep the tone serious.”
To ensure that negative prompts do not overly restrict the model, you should maintain a balance between guiding the model and allowing flexibility. Avoid too many restrictions that can stifle creativity, and regularly review and update the prompts to keep them relevant and effective.
Conclusion
Negative prompts in Stable Diffusion are important because they help models create accurate and relevant results by telling them what not to include. By setting these guidelines, we can reduce mistakes and parts we don’t want, making the model work better overall. To create these guidelines, we study data, work with experts, and write clear rules. It’s important to regularly check and improve these rules. Following them ensures that negative prompts don’t limit the model too much, but still let it be flexible and able to change. As we keep working on and improving these rules, we help make models more dependable and useful. This means they give better results in many different situations.