KI-Modelle · google
Google Nano Banana 2
Fast image generation with conversational edits, fusion, and consistent characters.
10 CR / RUN · google · 11.2M RUNS
Über das Modell
nano-banana-2 is Google’s fast image generation model for creating and refining visuals with natural-language prompts. It supports straightforward text-to-image workflows while also handling image-guided generation through image_input.
What makes it especially flexible is its support for conversational editing, multi-image fusion, and character consistency. With controls for resolution, aspect ratio, output format, and optional image or Google search inputs, it’s built for iterative creative work as well as quick visual production.
Stärken
- 01Fast image generation from text prompts
- 02Conversational editing for iterative refinement
- 03Multi-image fusion for blended concepts
- 04Character consistency across generations
- 05Flexible controls for resolution and aspect ratio
- 06Supports image-guided creative workflows
Beispiel-Prompts
Create a cinematic portrait of a futuristic street racer at dusk, neon reflections on wet pavement, dramatic lighting, highly detailed.
Diesen Prompt ausprobierenUsing the reference image, turn this living room into a warm Scandinavian interior with light oak furniture, soft textiles, and natural daylight.
Diesen Prompt ausprobierenBlend a vintage botanical illustration style with a modern skincare product shot, clean background, elegant composition, premium branding feel.
Diesen Prompt ausprobierenDesign a consistent character sheet for a cheerful young wizard, showing front view, side view, and three expressive poses in a colorful storybook style.
Diesen Prompt ausprobierenAnwendungsfälle
Rapid concept generation
Generate polished visual ideas quickly from a simple text prompt. It’s a strong fit for early-stage ideation, moodboards, and creative exploration.
Iterative image editing
Refine images through conversational edits instead of restarting from scratch. This makes it easier to adjust style, composition, or details over multiple passes.
Reference-based creation
Use image_input to guide the output with existing visuals. This is useful for transformations, style updates, and building on source material.
Consistent character work
Create recurring characters with a more stable visual identity across generations. Helpful for storytelling, comics, and branded creative assets.
FAQ
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