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." Purpose-built product imagery tools like Nightjar bake those constraints into curated Photography Styles and Compositions, so users do not have to author and maintain long 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 one of its 150+ curated Photography Styles, the system applies the visual direction holistically: camera, lighting, color, mood, and atmosphere are tuned for clean product imagery, which helps avoid low-quality artifacts and distorted logos without manual exclusion lists.