Fast prompt iteration for creative exploration
MODEL GUIDE
Nano Banana
Structured prompt patterns and quick iterations tailored for Nano Banana-style image runs—reuse blocks across your creative passes.
Nano Banana collects structured Nano Banana-friendly prompt patterns and iteration tips so you can move from exploration to polished frames faster.
Nano Banana
Ready-to-use workflow card for templates and creation.
Flexible style direction and composition control
Reusable outputs for image/video generation workflows
Use Cases
Concept Exploration
Generate multiple visual directions quickly and pick the best style path.
Commercial Assets
Produce more consistent posters and ad visuals with structured prompts.
Series Consistency
Keep subject/camera/lighting stable for coherent image sets or storyboards.
Team Collaboration
Turn prompts into reusable assets for easier collaboration and iteration.
Recommended Workflow
- 1Start with a clear subject + scene + style prompt
- 2Generate first drafts and compare composition variants
- 3Refine keywords for camera, lighting, and details
- 4Export the best prompt into Create Workspace for production
Prompt Library Templates
Prompt Starters
A cinematic Nano Banana style portrait, soft rim light, high detail skin texture, 85mm lens look, clean background
Minimal product hero image with Nano Banana aesthetics, studio lighting, reflective surface, premium commercial quality
Futuristic city scene generated with Nano Banana, volumetric fog, neon accents, dynamic perspective, ultra detailed
Frequently Asked Questions
How is the Nano Banana page different from other model guides?
This guide treats Nano Banana as a high-frequency image loop: reusable sentence patterns, variable slots, and iteration order—not generic style blurbs.
How do I write more stable Nano Banana prompts?
Lock subject and camera language, change one variable per pass, and split lighting/material/negative constraints into reusable fragments for Workbench.
Can I reuse these prompts with other image models?
Yes—structured blocks usually port to other text-to-image models; swap model-specific keywords or resolution tokens as needed.