Negative Prompts for AI

Negative prompts are instructions that tell AI image generators what to exclude from the output. They prevent unwanted elements like blurry details, extra limbs, watermarks, and specific styles. Negative prompts are essential in Stable Diffusion and useful in Midjourney for refining image quality.

Common negative prompts include: blurry, low quality, deformed, extra fingers, bad anatomy, watermark, text, signature, cropped, worst quality, and jpeg artifacts. For specific styles, add negatives like cartoon when seeking realism, or photorealistic when seeking illustration styles.

Stable Diffusion fully supports negative prompts with a dedicated input field. Midjourney supports them with the --no parameter. DALL-E 3 does not directly support negative prompts but you can describe what you do not want in your positive prompt. Support varies by platform.

Negative prompts reduce artifacts, prevent anatomical errors, eliminate unwanted styles, and improve overall image coherence. They work by reducing the probability of generating specific visual elements during the diffusion process. Using curated negative prompt lists significantly improves consistency across generations.

Yes, excessive negative prompts can confuse the AI model and reduce output quality. Stick to 10-20 targeted negative prompts relevant to your specific image. Overly restrictive negatives can prevent the model from generating anything useful. Start with common quality negatives and add specific ones as needed.