More image models

Alternative models that can be useful in specific situations where cost-effectiveness and specialized capabilities matter more than cutting-edge features.

Flux Krea

A great image generation model developed by Black Forest Labs in collaboration with Krea AI. Best for photorealistic images that avoid the oversaturated "AI look."

Strengths for marketers:

  • Exceptional photorealism with accurate skin textures and natural lighting.

  • Distinctive aesthetics that don't immediately look AI-generated.

  • Lightning-fast generation speeds.

  • Dynamic camera angles and expressive color handling.

Ideal use cases:

  • Lifestyle photography and natural product shots.

  • Ad creatives where avoiding the "AI look" is critical.

Weaknesses:

  • Complex scene representation is worse than latest state-of-the-art models

  • May require more specific prompting compared to commercial models.

  • 3 reference images maximum

Seededit v3

An image editing model developed by Bytedance.

Strengths for marketers:

  • Maintains high fidelity in unedited areas

Ideal use cases:

  • Asset seasonality (e.g., background changes, lighting conversion)

  • Persona visual adaptations (e.g., portrait editing, perspective changes)

  • Quick asset edit through selective object removal/modification

Prompt examples

  • Lighting Changes Prompt: “Change the scene to daytime” Transforms lighting and shadows across the entire scene while preserving all original details.

  • Object Removal Prompt: “Remove all pedestrians except the middle character” Accurately identifies and removes specified objects including their shadows.

  • Style Conversion Prompt: “Make the girl look realistic” Converts 2D illustrations to photorealistic images while preserving clothing, accessories, and other details.

Google Imagen 3

An image generation model developed by Google. Best for lifestyle pictures and simple graphic design.

Strengths for marketers:

  • Decent at graphic design, including layouts and complex text.

  • Photorealism, but slightly less refined than Google Imagen-4 Ultra.

  • Prompt adherence: has a more literal interpretation vs. Imagen-4 Ultra.

Ideal use cases:

  • Simple blog illustrations

  • Lifestyle photos: build your custom stock image

Weaknesses:

  • No image references ⇒ rarely brand consistent + cannot be used for product use cases.

  • Struggles with complex prompts requiring complex spatial relationships.

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