<\/span><\/h3>\nTo use negative prompts effectively, it’s important to select appropriate keywords and adjust them according to the model’s characteristics.
\nFollowing these steps will help you achieve more desirable results:<\/p>\n
Set Basic Negative Prompts<\/h4>\n
First, set keywords that eliminate elements that generally lower image quality. Here are examples of typical negative prompts:<\/p>\n
low quality, blurry, distorted, deformed, bad anatomy, extra fingers<\/sre><\/p>\n\n- low quality, blurry (low quality, blur)<\/li>\n
- distorted, deformed (distortion, deformation)<\/li>\n
- bad anatomy, extra fingers (unnatural human body, extra fingers)<\/li>\n<\/ul>\n
By setting these as basics, you can stabilize image quality.<\/p>\n
Add Specific Unwanted Elements<\/h4>\n
Next, specify elements you want to avoid based on the content of the image you’re generating. For example, if you want to generate realistic people, exclude “cartoon, anime style,” or conversely, if you want to create anime-style characters, exclude “realistic, photorealistic” to get closer to your intended style.<\/p>\n
Adjust Prompt Weights<\/h4>\n
In Stable Diffusion, you can specify weight (strength) for each prompt. For example, specifying “blurry:1.5” instructs the system to exclude “blur” 1.5 times stronger than normal. It’s important to find the optimal balance by adjusting weights as needed.<\/p>\n
<\/span>Key Points for Improving Image Generation Quality<\/span><\/h3>\nBy effectively utilizing negative prompts, you can generate higher quality images. Particularly by following these points, you can achieve more precise results:<\/p>\n
Eliminate Unintended Noise<\/h4>\n
AI-generated images can sometimes include unintended noise or deformities. Setting negative prompts like “artifacts, noisy, grainy” can help create cleaner images.<\/p>\n
Focus on Style Consistency<\/h4>\n
To unify the art style of images, excluding unwanted style keywords is effective. For example, if you want to create realistic illustrations, setting “cartoon, comic, sketch” as negative prompts is effective.<\/p>\n
Improve Composition and Posing Accuracy<\/h4>\n
Especially when generating images of people or characters, excluding “bad hands, bad legs, wrong perspective” can help achieve more natural poses.<\/p>\n
Understand Each Model’s Characteristics<\/h4>\n
The effectiveness of negative prompts varies depending on the version of Stable Diffusion and the model you’re using. It’s important to make adjustments through trial and error to find the optimal keywords for the model you’re using.<\/p>\n
<\/span>\u3010Purpose-Based\u3011Recommended Negative Prompt Collections<\/span><\/h2>\nWhen using Stable Diffusion, properly setting negative prompts can eliminate unwanted elements and generate more ideal images.<\/p>\n
Here, we’ll introduce recommended negative prompts organized by purpose.<\/p>\n
<\/span>Prompts to Prevent Low-Quality Image Generation<\/span><\/h3>\nAI image generation can sometimes result in unintentionally low-quality outputs. Using the following negative prompts makes it easier to obtain sharp, high-quality images:<\/p>\n
low quality, worst quality, blurry, pixelated, JPEG artifacts, noisy, grainy, washed out, overexposed, underexposed<\/sre><\/p>\n