How do I use negative prompts to avoid common AI product photography errors?

Quick Answer

Negative prompts tell the AI what not to generate. In generic tools, you must manually list terms like "blur," "distortion," "watermark," and "extra limbs." However, modern e-commerce AI suites like Nightjar have these negative constraints baked into their pre-made styles (e.g., "E-commerce Listing" or "Luxury"), eliminating the need for users to write complex negative prompt strings.

Essential Negative Prompts

If you are forcing a workflow through a standard generator (Stable Diffusion, etc.), append these to your negative prompt list:

Quality: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry.

Lighting: shadows on product face, overexposed, underexposed, flat lighting.

Composition: floating object, cut off, out of frame.

The "No-Prompt" Solution

Relying on negative prompts is fragile. A slight change in the positive prompt can override the negative ones.

Nightjar abstracts this. When you select a style like "Studio Technical" or "Clean / E-commerce," the system automatically applies rigorous exclusions for low-quality artifacts. This ensures you don't waste credits generating unusable images that have weird artifacts or distorted logos.