Prompting & Creativity
Negative prompts, lighting, keywords, and advanced techniques for better results.
6 questions answered
What are negative prompts and how do I use them?
Negative prompts tell a model what to exclude from the generation. PicX Studio has no separate 'Negative Prompt' field, because today's models — Nano Banana, GPT Image, Seedream, Seedance — follow plain-language instructions, so you steer them inside the main prompt. The most reliable approach is to describe what you want instead: 'plain white background' rather than 'no background', 'sharp focus' rather than 'not blurry'. When you do need an exclusion, add a short, specific clause at the end: 'Avoid: text, watermark, extra fingers.' Keep it concise — a long list of negatives can pull attention to the very things you named.
How do I control lighting and shadows in my image?
Lighting is one of the most powerful prompt elements. Use specific lighting terms: 'soft diffused light' (gentle, even), 'dramatic Rembrandt lighting' (deep shadows, one strong source), 'golden hour' (warm, low-angle sunlight), 'studio lighting with softbox' (commercial, clean), 'neon light' (vibrant, colorful), 'backlit silhouette' (subject against bright background), 'overcast natural light' (soft outdoor). Specify shadow behavior: 'long shadows,' 'no harsh shadows,' 'deep contrast shadows.'
What prompt keywords improve image quality (e.g., 4K, cinematic, hyper-detailed)?
High-impact quality keywords include: '4K,' '8K ultra HD,' 'hyper-detailed,' 'sharp focus,' 'photorealistic,' 'cinematic,' 'professional photography,' 'award-winning,' 'masterpiece,' 'high resolution,' 'intricate detail,' 'ray tracing,' 'subsurface scattering' (for skin), 'volumetric lighting,' 'depth of field,' 'shot on Canon EOS R5.' Stacking 3–5 of these at the end of your prompt consistently improves output quality. Avoid overloading with too many — pick the most relevant ones for your scene. Note that keywords steer the look; the actual pixel size comes from the resolution setting (up to 4K).
How do I generate logos or text inside images accurately?
Pick a model that is good at typography: Ideogram V4, GPT Image 2 and Nano Banana Pro render short headlines and logo wordmarks reliably. For best results: put the exact text in quotes, keep it short (1–5 words), specify a clean high-contrast background, and describe the font style ('bold sans-serif white text on dark background'). For long copy or text you will edit later, generate the visual composition in PicX Studio and add text overlays in Canva, Figma, or Photoshop (or the free Image Text Overlay tool). This hybrid approach gives you reliable, editable typography with AI-generated visuals.
Can I mix two styles or concepts in one prompt?
Absolutely! Style blending is one of the most creative uses of AI generation. Use connecting phrases: 'in the style of both X and Y,' 'X aesthetic meets Y,' or simply list both: 'cyberpunk anime cityscape, oil painting texture, neon-noir.' Examples: 'Renaissance portrait in the style of a comic book illustration,' 'minimalist Japanese interior with Wes Anderson color palette,' 'photorealistic dragon in a watercolor painting.' Experiment with the balance — put the dominant style first.
How do I describe a specific color palette in a prompt?
Name palettes directly or describe using reference styles: 'warm earth tones — burnt sienna, terracotta, cream,' 'pastel palette — soft lavender, mint green, blush pink,' 'monochromatic blue,' 'high contrast black and white,' 'Wes Anderson pastel symmetry,' 'cyberpunk neon magenta and electric blue on dark background,' 'golden ratio color scheme,' 'muted desaturated film photography tones.' You can also reference known color systems: 'Pantone coral,' 'deep forest green like #2D5016.'

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