Nano Banana 2 Lite: Text to Image
This workflow generates images from a text prompt using Nano Banana 2 Lite, Google's fast image model served through fal.ai. A built-in system prompt automatically expands simple prompts into detailed, well-composed scenes while respecting explicit instructions on style, color, l
API
NanoBanana
Text to image
1
18
Nodes & Models
NanoBanana2LiteTextToImage_floyo
FloyoStickyNote
SaveImage
HOW IT WORKS
Step 1. Write your prompt
Describe the subject, setting, mood, and style. Simple prompts get automatically expanded into a detailed scene by the built-in system prompt; detailed prompts are followed closely as written.
Works great with: scene descriptions · characters · concept art · mood pieces
Step 2. Pick your aspect ratio
Choose the shape that fits your output — 16:9 for widescreen, 1:1 for square, 9:16 for vertical, and so on.
Step 3. Set your generation options
Choose how many images to generate at once, lock or randomize the seed, and set output format.
Step 4. Hit run and download
Nano Banana 2 Lite generates your image directly from the prompt in seconds.
Ready for: Photoshop · Figma · Canva · any editor
First time? Leave every setting as-is. The defaults (16:9 · seed randomized · PNG · thinking level off) are the right starting point for almost everyone.
RECOMMENDED SETTINGS
Quick-start guide. Find the goal that matches yours and copy the settings.
Standard run (most people) — Start here — 16:9 · seed randomized · PNG · thinking level off. The right starting point for almost everyone.
Reproduce a result you liked — Lock the seed to the number that produced it, instead of leaving it on randomize.
Need multiple options fast — Raise
num_imagesto generate several variations from one prompt in a single run.Prompt feels ignored or over-interpreted — Turn
thinking_levelon for more deliberate interpretation of complex prompts; leave it off for speed on simple ones.Content getting filtered unexpectedly — Adjust
safety_toleranceandenable_safety_checkerto match how permissive you need the output to be.
Prompt: Describe the subject, environment, lighting, and style directly — simple prompts are automatically enriched with composition and atmosphere detail by the system prompt, so you don't need to over-write it yourself.
USE CASES
🖼️ Concept & Scene Art Generate full scenes and environments from a single description, no reference image needed.
🎨 Rapid Ideation Produce several prompt variations quickly to explore different visual directions before committing to one.
📐 Any Aspect Ratio Generate directly in the ratio you need for social, print, or web without cropping afterward.
✍️ Text-in-Image Prompt for legible on-image text and have it rendered clearly as part of the scene.
WHAT WORKS BEST / WHAT TO AVOID
✅ Works great
Clear, descriptive prompts with subject + setting + style
Letting the system prompt auto-enhance simple ideas
Locking a seed once you find a result worth iterating on
Straightforward single-subject compositions
⚠️ May produce softer results
Overly vague one-word prompts with high expectations for detail
Very cluttered multi-subject scenes in one prompt
Conflicting style instructions in the same prompt
Leaving safety tolerance too strict for the intended content
NEW TO COMFYUI?
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FAQ
What is Nano Banana 2 Lite? It's Google's fast image-generation model, served here through fal.ai. This workflow wraps it in a single text-to-image node with a built-in system prompt that improves composition, lighting, and detail automatically.
Does this workflow support image input or ControlNet? No — this graph is text-to-image only. There's no LoadImage node or ControlNet model in the pipeline, so structure (pose, edges, depth) isn't carried over from a reference image.
How is this different from a local ComfyUI checkpoint workflow? This node calls the Nano Banana 2 Lite model via the Floyo API rather than running a local model file, so there's no checkpoint, VAE, or CLIP loader to manage — just prompt and generation settings.
How do I get more consistent results across a batch? Lock the seed and keep the prompt identical, then only vary the parts you want to change (subject, style keyword, etc.).
Can I use the results commercially? Check Google/fal.ai's current terms for Nano Banana 2 Lite outputs, since commercial usage rights depend on the model provider's licensing, not on Floyo itself.
Ready to try it? Write a prompt, set your aspect ratio, and hit run.
→ Launch Workflow, Free
Questions? Watch the free course or check the FAQ above.
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