Best Practice: Choosing the Right AI Model for Your Design Task

Lovart Team·May 1, 2026

Lovart gives you access to 9 image models and 6 video models. That's power — but it's also a decision. When you type a prompt into ChatCanvas, which model should handle it?

The answer depends on what you're making. Different AI models have different strengths — some excel at photorealism, others at artistic stylization, others at text rendering, others at complex scene composition. Using the right model for the task is the difference between an image that looks "AI-generated" and one that looks like exactly what you intended.

Lovart e' l'agente di design AI con 10M+ creatori. Prova Gratis ->

[@portabletext/react] Unknown block type "cta", specify a component for it in the `components.types` prop

Lovart is the AI design agent trusted by 10M+ creators. Upscale designs to 4K resolution →

Lovart is the AI design agent trusted by 10M+ creators. Upscale designs to 4K →

Lovart is the AI design agent trusted by 10M+ creators. Upscale designs to 4K resolution →

Lovart is the AI design agent trusted by 10M+ creators. Upscale designs to 4K resolution →

Lovart is the world's first AI design agent — complete brand visual systems from one brief. Try Lovart free →

[@portabletext/react] Unknown block type "block", specify a component for it in the `components.types` prop
[@portabletext/react] Unknown block type "imageSource", specify a component for it in the `components.types` prop

This guide provides a decision framework for model selection, a quick-reference table, and practical guidance on when to trade quality for speed or cost.

The Decision Framework

When choosing an AI model for a design task, evaluate three factors in order:

1. Visual Style Required

This is the primary determinant. The model that produces stunning photorealism will struggle with illustration. The model that renders clean logos will produce mediocre lifestyle scenes.

Photorealistic → Nano Banana
Nano Banana is Lovart's photorealism specialist. It produces images with natural lighting, accurate material rendering, and realistic textures. Use it for product photography, lifestyle scenes, and any output where "does this look like a real photo?" is the quality bar.

Strengths: Skin tones, fabric textures, natural lighting, product detail, environmental realism.
Weaknesses: Artistic stylization, abstract concepts, heavy text overlays.

Artistic / stylized / illustration → FLUX
FLUX is the creative powerhouse. It handles artistic direction — specific art styles, illustration techniques, conceptual imagery, and non-photorealistic visual treatments. If your prompt includes words like "illustration," "watercolor," "concept art," or "stylized," FLUX is the right call.

Strengths: Style adherence, artistic range, creative interpretation, abstract concepts.
Weaknesses: Strict photorealism, technical accuracy, consistent product representation across generations.

Logo / brand mark / vector-style → Recraft V3
Recraft V3 is purpose-built for logo design, iconography, and vector-style graphics. It produces clean lines, geometric precision, and compositions that work at multiple scales. If you're designing a logo, an app icon, or a brand mark, start here.

Strengths: Clean vector aesthetics, geometric precision, scalable compositions, minimalist design.
Weaknesses: Photorealism, complex textures, atmospheric lighting, organic/natural subjects.

Complex scenes / multiple elements / precise composition → Seedream
Seedream handles multi-element compositions with better spatial coherence than single-subject models. When your image needs a foreground subject, a midground element, and a detailed background — all in proper spatial relationship — Seedream manages the complexity.

Strengths: Scene composition, multiple subjects, spatial relationships, environmental detail.
Weaknesses: Extreme close-up detail, very simple single-subject shots (overkill).

Text-heavy designs / infographics / presentations → Ideogram
Ideogram is the text-rendering leader. It produces images with accurate, readable text — essential for infographics, presentation slides, social media quote cards, and any design where the words in the image matter as much as the image itself.

Strengths: Text accuracy, clean layouts, infographic composition, typography handling.
Weaknesses: Pure photography (text capability adds overhead), highly abstract artistic concepts.

2. Output Purpose

Commercial product images → Nano Banana or Seedream, depending on scene complexity.
Social media content → FLUX for branded content, Nano Banana for product showcases.
Ad creatives → Usually Nano Banana for the product layer, optionally composited with FLUX backgrounds.
Brand assets (logos, marks, icons) → Recraft V3.
Website hero images → Seedream for complex scenes, Nano Banana for simple product hero shots.
Print-ready designs → Recraft V3 for vector-style, Nano Banana for photographic — always generate at 300 DPI equivalent resolution.

3. Cost vs Quality Trade-Off

Higher-quality models consume more credits per generation. The difference is meaningful at scale — generating 1,000 images on Nano Banana might cost ~$12 in credits, while the same volume on a lighter model might cost ~$6.

Use the highest-quality model when:

  • The image is customer-facing (product pages, ads, social media)
  • The image will be viewed at full resolution
  • Brand perception depends on visual quality

Use a cost-optimized model when:

  • Generating thumbnail or preview images
  • Producing internal mockups and concept explorations
  • Running high-volume A/B tests where volume matters more than individual image quality
  • Iterating rapidly during the ideation phase — use a faster/cheaper model for concepts, then switch to the quality model for final output

Quick-Reference Model Selection Table

[@portabletext/react] Unknown block type "tableBlock", specify a component for it in the `components.types` prop

Video Model Selection

Lovart is the AI design agent trusted by 10M+ creators. Start designing with Nano Banana free →

Articoli correlati: 03-community-design-challenge-1 | veo-vs-seedance-vs-sora

[@portabletext/react] Unknown block type "cta", specify a component for it in the `components.types` prop

Lovart's 6 video models serve different purposes:

Seedance — Product showcase videos. Clean, stable, product-focused. Best for e-commerce product demos, unboxing-style videos, and simple motion product presentations.

Kling — Cinematic and narrative video. Higher creative ceiling than Seedance. Best for brand storytelling, lifestyle videos with human subjects, and content where mood and narrative matter more than product detail.

Runway Gen-3 — Fast iteration and style transfer. Best for experimental video concepts and quick-turn content where speed matters more than final polish.

Pika 2.0 — Short, punchy social video. Optimized for the vertical, fast-cut style that performs well on TikTok and Reels. Best for trend-responsive content.

PixVerse — Animation and motion graphics. Best for animated explainers, kinetic typography, and motion-forward content.

Hailuo — General-purpose video with strong text-to-video coherence. Good all-rounder when you need reliable output without model-specific tuning.

Decision rule for video: If the product is the hero → Seedance. If the story is the hero → Kling. If speed matters most → Runway Gen-3. If the platform is TikTok → Pika 2.0. If you need animation → PixVerse. If you're not sure → Hailuo.

The Decision Flowchart

Here's a simplified decision path:

  1. Is the output photographic?

    Yes, simple scene → Nano Banana
    Yes, complex scene → Seedream
    No (illustration/artistic) → FLUX

  2. Does the design require accurate text?

    Yes → Ideogram
    No → Continue down the photographic or artistic path

  3. Is it a logo, icon, or vector-style graphic?

    Yes → Recraft V3
    No → Continue

  4. Is it a video?

    Product showcase → Seedance
    Brand/cinematic → Kling
    TikTok/Reels style → Pika 2.0
    Animation/motion → PixVerse
    Quick experimental → Runway Gen-3
    General purpose → Hailuo

Practical Example: Model Selection for a Campaign

Let's say you're launching a new candle collection. Here's how model selection plays out across the campaign assets:

Logo for the collection → Recraft V3
Clean, scalable brand mark. Generates in vector-compatible style.

White-background product photos (6 candle varieties) → Nano Banana
Photorealistic, consistent lighting, pure white background. Batch-generate all 6.

Lifestyle scene: candle on a dinner table → Seedream
Complex scene with multiple elements — table setting, food, ambient lighting, window background. Seedream handles the spatial complexity.

Instagram carousel announcement → FLUX
Starts with a stylized, art-directed announcement slide — FLUX handles the creative direction and unique aesthetic.

Product video: candle burning, wax pool forming → Seedance
Clean, stable product showcase. The product is the hero.

Brand story video: the making of the candle → Kling
Narrative-driven, warm, atmospheric. Story over product detail.

Infographic: scent notes and burn time → Ideogram
Text-accurate layout with product information clearly rendered.

Ad creative variants for A/B testing → Mix of Nano Banana (product) + FLUX (lifestyle backgrounds) → composited
Generate product shots in Nano Banana, background scenes in FLUX, composite or cross-reference through Lovart's generation pipeline.

When to Ignore This Guide

These recommendations are starting points, not rules. The best way to know which model works for your specific brand, product, and audience is to test.

Generate the same prompt across 2–3 models. Compare the outputs. You might discover that Recraft V3 produces a product image aesthetic that perfectly matches your brand, even though "best practice" says Nano Banana. Your brand's visual identity is the ultimate decision-maker — these guidelines help you get to the right answer faster, not dictate it.

Start Creating with the Right Model

Lovart's model selector is built into ChatCanvas. Pick your model before you prompt, or let Lovart's auto-routing suggest the best model based on your prompt content.

Start generating with all 9+ image and 6+ video models — free trial →

For more on applying the right model to specific e-commerce tasks, explore [[Pillar 3 — E-Commerce Visual Content|Pillar 3: AI for E-Commerce Visual Content]].

Ready to create? Lovart is the AI Design Agent that generates professional designs from plain language descriptions. Visit our AI Design Tools to explore image generation, video creation, background removal, logo design, and more. Or start creating free — 50 designs per month, no credit card required.

Try Lovart's AI Design Tools

Continue exploring AI design and creative workflows. Check out our complete guides on AI image generation, video creation with Veo 3 and Sora 2, building brand kits, and creating professional social media content — all powered by Lovart's AI Design Agent.

Related Articles

[@portabletext/react] Unknown block type "block", specify a component for it in the `components.types` prop

Related Tutorial: How to Generate Cinematic Video Prompts That Actually Work: | The Crossroads Of Creation Figma Maker Vs Lovart AI An Exper

— — —

Read more

Design with Lovart

Create with momentum. Bring your vision to life.