From subject description to style control and lighting settings, systematically master the art of writing AI image prompts. Includes common templates and parameter adjustment tips to help you generate stable, high-quality images.
Understanding the Basic Structure of Prompts
The core structure of an AI image prompt can be summarized in five layers: Subject → Style → Lighting → Composition → Detail Enhancement. The subject determines the content of the image (e.g., "an orange cat sitting on a windowsill"), style dictates the artistic expression (e.g., "watercolor," "cyberpunk"), lighting influences the atmosphere (e.g., "golden sunset," "cool blue light"), composition controls the perspective (e.g., "close-up shot," "bird's-eye view"), and detail enhancement covers fine-grained controls such as textures and background elements. Once you understand these five layers, you can write prompts with clear structure.
Common Style Keywords and Combinations
Common keywords for photorealism include photorealistic, 8K, ultra-detailed, and studio lighting. For illustration, try flat illustration, vector style, or minimalist. Cyberpunk prompts often use cyberpunk, neon glow, and futuristic city. Watercolor styles can be achieved with watercolor, soft edges, and paper texture. Different tools respond to style keywords in varying ways: Midjourney handles artist-style references particularly well, while Stable Diffusion relies more heavily on LoRA models and weight control. It is recommended to save your most-used combinations as templates for easy reuse.
The Role of Negative Prompts
Negative prompts are used to exclude unwanted elements. Common generic negative keywords include blurry, low quality, deformed, extra fingers, watermark, and text. For character generation, it is advisable to add control terms such as bad anatomy, disfigured face, and asymmetrical eyes. Negative prompts take precedence over positive descriptions; using them effectively can significantly improve image quality.
Parameter Tuning and Stable Output
The CFG Scale (prompt weight) is typically set between 7 and 12; higher values make the image adhere more closely to the description but may result in oversaturation. Steps (sampling steps) are recommended at 20–40; going higher increases generation time with limited quality gains. Fixing the Seed allows for reproducing the same composition, which is ideal for generating series of works in bulk. For resolution, it’s advisable to start with 512×512 for sketches and increase to 1024 or use Upscale after confirming the composition.
Advanced Techniques: ControlNet and Image-to-Image
ControlNet enables precise control over image composition through auxiliary inputs such as line art, depth maps, and pose detection. For example, uploading a reference image of a human pose will cause the AI to generate an entirely new image based on that pose. Image-to-image (img2img) performs style transfers or detail adjustments based on a reference image; the denoising strength parameter can be used to control the similarity to the original image. These advanced techniques can significantly boost creative efficiency and consistency.