Knowledge Base

Lopeka Codex

Everything you need to get the best results from Lopeka's AI models — prompting techniques, motion controls, model comparisons, and more.

Prompt Writing Guide

Learn how to craft effective prompts that consistently produce high-quality images and videos with Lopeka's AI models.

A great prompt is specific, visual, and intentional. Start with the subject, then describe the environment, lighting, mood, and style. Avoid vague terms like "good" or "beautiful" — instead use concrete descriptors like "golden hour", "cinematic depth of field", or "hyperrealistic texture".

Structure: [Subject] + [Action/Pose] + [Environment] + [Lighting] + [Style/Mood] + [Camera]

Example: "A young woman reading a book in a sunlit Parisian café, warm afternoon light streaming through frosted glass windows, film grain, shallow depth of field, Kodak Portra 400"

Tips:

  • Use comma-separated clauses for better model parsing
  • Reference real photographers, directors, or art movements for style
  • Specify resolution hints: "8K", "ultra-detailed", "sharp focus"
  • Add negative prompts to suppress unwanted artifacts

    • Camera Angles & Effects

    Understand how camera angle keywords influence AI-generated compositions and how to use them effectively.

    Camera angle keywords directly instruct the model on framing and perspective. Mastering these terms gives you precise compositional control.

    Angle Types:

  • Eye-level — Natural, relatable perspective. Default for most portraits.
  • Low angle — Subjects appear powerful, heroic, or imposing.
  • High angle / Bird's eye — Creates vulnerability or a god-like overview.
  • Dutch angle — Tilted horizon for tension and unease.
  • Over the shoulder — Conversation and storytelling shots.

    • Lens Effects:

  • Wide angle (14mm–24mm) — Environmental context, dramatic distortion near edges.
  • Telephoto (85mm–200mm) — Compression, bokeh, intimate portraits.
  • Macro — Extreme close-up, texture emphasis.
  • Fisheye — Surreal, immersive, distorted reality.

    • Add to your prompts: "shot on 50mm lens", "extreme close-up", "aerial drone shot", "POV shot"

    Motion & Movement Settings

    Control how subjects and camera move in AI-generated videos using motion keywords and model-specific parameters.

    Motion in video generation is controlled through prompt keywords and model-specific settings. Understanding the vocabulary lets you direct action precisely.

    Subject Motion:

  • Use action verbs: "walking slowly", "hair flowing in wind", "hands gesturing expressively"
  • Specify intensity: "subtle", "fluid", "dramatic", "explosive"
  • Reference physics: "cloth simulation", "realistic weight", "momentum"

    • Camera Motion:

  • Pan — Horizontal camera sweep across the scene
  • Tilt — Vertical camera movement
  • Dolly / Push in — Camera physically moves toward subject
  • Zoom — Focal length change without moving camera
  • Orbit — Camera rotates around a fixed subject
  • Handheld — Subtle shake for realism and documentary feel

    • Kling Motion Control Settings:

    The Kling model supports explicit motion vectors. Set pan, tilt, roll, and zoom values in the motion control panel to define exact camera behavior independent of your text prompt.

    Model Differences

    A clear breakdown of each AI model available on Lopeka — their strengths, ideal use cases, and output characteristics.

    Choosing the right model is the single biggest factor in output quality. Each model has distinct aesthetics and strengths.

    Image Models:

    ModelBest ForStyle
    Nano Banana 2Fast iteration, conceptsBalanced, photorealistic
    Nano Banana ProProduction qualityEnhanced detail, HDR
    GPT ImageComplex scenes, text in imageVersatile, instruction-following
    Seedream 4.5Asian aesthetics, animeStylized, vibrant

    Video Models:

    ModelBest ForDuration
    Kling 3.0Cinematic quality3s–15s
    Kling 2.6Audio-synced video5s–10s
    Kling 2.5 TurboFast generation5s–10s
    Wan 2.6Experimental motion4s–8s

    General Rule: Use featured models for production work. Use non-featured models when you need a specific aesthetic that the featured models don't provide.

    Negative Prompt Logic

    How negative prompts work, when to use them, and which terms are most effective for eliminating common artifacts.

    Negative prompts tell the model what to exclude from the output. They are especially effective for eliminating recurring artifacts and unwanted stylistic elements.

    When to Use Negative Prompts:

  • Removing anatomical errors: "deformed hands, extra fingers, mutated limbs"
  • Eliminating blur: "blurry, out of focus, motion blur, depth of field artifacts"
  • Preventing low quality: "low resolution, pixelated, jpeg artifacts, watermark"
  • Style correction: "cartoon, illustration, painting" when you want photorealism

    • High-Impact Negative Terms:

    ugly, deformed, noisy, blurry, distorted, watermark, signature,

    extra limbs, poorly drawn face, bad anatomy, disfigured,

    low quality, lowres, jpeg compression, oversaturated

    Model-Specific Notes:

  • Nano Banana models respond strongly to negative anatomy terms
  • GPT Image has strong built-in quality filtering — minimal negatives needed
  • Seedream models benefit from style negatives when targeting realism

    • Important: Over-specifying negatives can constrain the model too tightly and reduce creativity. Use 5–8 targeted terms rather than a long generic list.

    Aspect Ratio Guide

    Choose the right aspect ratio for your intended output platform and how it affects AI composition.

    Aspect ratio determines framing, composition, and where the model places subjects. Matching ratio to platform avoids cropping issues.

    Standard Ratios:

    RatioDimensionsBest For
    1:1SquareInstagram, profile pictures, NFTs
    16:9LandscapeYouTube, desktop wallpapers, presentations
    9:16PortraitTikTok, Instagram Stories, Reels
    4:3ClassicPhotography, tablets
    3:2FilmDSLR output, editorial
    21:9UltrawideCinematic, banner headers
    2:3PortraitPinterest, posters, book covers

    Composition Impact:

  • Wide ratios (16:9, 21:9) encourage environmental storytelling — the model naturally includes more background context
  • Tall ratios (9:16, 2:3) force the model to prioritize subject prominence over setting
  • 1:1 creates compositional tension that often results in centered, iconic framing

    • Video Note: Always match your video aspect ratio to your target platform before generating. Re-encoding after generation degrades quality significantly.

    Cinematic Lighting Techniques

    Master lighting keywords to control mood, atmosphere, and visual drama in your AI-generated images and videos.

    Lighting is the most powerful mood-setter in visual generation. These keywords are consistently interpreted across all major models.

    Natural Light:

  • Golden hour — Warm, low-angle sunlight. Nostalgic, romantic.
  • Blue hour — Post-sunset twilight. Melancholic, cinematic.
  • Overcast — Soft, diffused. Clinical, neutral, documentary.
  • Harsh midday sun — High contrast, dramatic shadows.

    • Artificial & Studio:

  • Rembrandt lighting — Triangle of light on cheek. Classic portrait drama.
  • Rim lighting / backlit — Subject outlined by light source. Silhouette or halo effect.
  • Neon lighting — Cyberpunk, nightlife, vivid color contrast.
  • Practical lighting — Light sources visible in frame. Immersive, realistic.
  • Chiaroscuro — Strong light/shadow contrast. Baroque, theatrical.

    • Mood Keywords:

  • "moody, low-key lighting" — dark atmosphere, mystery
  • "bright, high-key lighting" — clean, commercial, cheerful
  • "volumetric light, god rays" — cinematic shafts of light
  • "bioluminescent glow" — otherworldly, fantasy

    • Pro Tip: Combine a time of day with a lighting style for compound effects: "golden hour + rim lighting" creates a warm backlit portrait feel that very few other keyword combinations can match.