Nano Banana 2
- 355k installs
- 31 repo stars
- Updated May 15, 2026
- agentspace-so/runcomfy-agent-skills
Nano Banana 2 is a skill that generates images with Google's Gemini-family flash-tier text-to-image model on RunComfy via the RunComfy CLI.
About
Generates images with Google Nano Banana 2, the Gemini-family flash-tier text-to-image model, hosted on the RunComfy Model API. A developer uses it for rapid drafts, social-thumbnail batches, and posters that need predictable in-image typography. It calls runcomfy run google/nano-banana-2/text-to-image and documents resolution tiers, a safety-tolerance dial, and optional web-grounded generation.
- Generates images with Google Nano Banana 2, the Gemini-family flash-tier text-to-image model, on RunComfy
- Optimized for rapid drafts, social thumbnails, and predictable in-image typography
- Documents resolution tiers, safety-tolerance dial, and optional web grounding
Nano Banana 2 by the numbers
- 355,392 all-time installs (skills.sh)
- Security screen: HIGH risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
nano-banana-2 capabilities & compatibility
Requires a RunComfy account (runcomfy login or RUNCOMFY_TOKEN); generation runs on the paid RunComfy Model API, priced by resolution tier.
- Capabilities
- text to image · typography rendering · batch generation · web grounded image
- Use cases
- image generation
- Runs
- Local or remote
- Pricing
- Bring your own API key
What nano-banana-2 says it does
If the user said "Nano Banana" / "nano-banana-2" / "Gemini image" explicitly, route here regardless.
No video on this endpoint.
npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill nano-banana-2Add your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 355k |
|---|---|
| repo stars | ★ 31 |
| Security audit | 1 / 3 scanners passed |
| Last updated | May 15, 2026 |
| Repository | agentspace-so/runcomfy-agent-skills ↗ |
How do you generate images with Nano Banana 2 on RunComfy?
Generate draft images, social thumbnails, or typography-heavy posters with Google Nano Banana 2 on RunComfy.
Who is it for?
Rapid drafts, social thumbnails, batch variants, and in-image typography
Skip if: Developers who need photorealistic hero shots where Flux 2 Pro or Seedream routing is explicitly required, or offline local SDXL workflows.
When should I use this skill?
You want fast image drafts or predictable in-image text and named Nano Banana / Gemini image
What you get
Generated image file, RunComfy CLI invocation, and resolution or safety-tolerance settings.
- Generated image file(s) downloaded to the output directory
By the numbers
- max 4 outputs per request
- resolution tiers 0.5K/1K/2K/4K
- 11 supported aspect ratios
Files
Nano Banana 2 — Pro Pack on RunComfy
runcomfy.com · Model page · GitHub
Google Nano Banana 2 — the flash-tier text-to-image model in the Gemini family — hosted on the RunComfy Model API. Optimized for ideation, social-thumbnail batches, and rapid drafts with strong in-image typography.
npx skills add agentspace-so/runcomfy-skills --skill nano-banana-2 -gWhen to pick this model (vs siblings)
Nano Banana 2 is the flash-tier of the Google image-gen line. Pick it when iteration speed and predictable framing matter more than maximum detail.
| You want | Use |
|---|---|
| Rapid drafts, social thumbnails, batch variants | Nano Banana 2 |
| In-image typography with predictable rendering | Nano Banana 2 |
| Web-grounded image (current events / real entities) | Nano Banana 2 + enable_web_search |
| Image edit (preserve subject, swap background) | Nano Banana Edit (sibling skill) |
| Heavy stylization, painterly look | Flux 2 |
| Maximum prompt adherence + multilingual text | GPT Image 2 |
| 2K–4K hero shots, max realism | Seedream 5 |
| Hyperrealistic portrait | Nano Banana Pro |
If the user said "Nano Banana" / "nano-banana-2" / "Gemini image" explicitly, route here regardless. If they said "Nano Banana" without specifying 2 vs Pro, default to Pro for portraits and 2 for everything else.
Prerequisites
1. RunComfy CLI — npm i -g @runcomfy/cli 2. RunComfy account — runcomfy login opens a browser device-code flow. 3. CI / containers — set RUNCOMFY_TOKEN=<token> instead of runcomfy login.
Endpoints + input schema
google/nano-banana-2/text-to-image
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
prompt | string | yes | — | Subject-first description. |
num_images | int | no | 1 | 1–4. Use 4 for ideation rounds. |
seed | int | no | 0 | Reuse for reproducibility. |
aspect_ratio | enum | no | auto | auto, 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16. |
resolution | enum | no | 1K | 0.5K (drafts), 1K (default), 2K (final), 4K (max). |
output_format | enum | no | png | png, jpeg, webp. |
safety_tolerance | int | no | 4 | 1 (strict) – 6 (permissive). |
limit_generations | bool | no | true | Limit each prompt round to one generation. |
enable_web_search | bool | no | false | Adds web grounding (extra cost + latency). |
For image edit (preserve subject + apply changes), see the sibling `nano-banana-edit` skill.
How to invoke
Default draft (1K, square, png):
runcomfy run google/nano-banana-2/text-to-image \
--input '{"prompt": "<user prompt>"}' \
--output-dir <absolute/path>Vertical 4-up batch for ideation:
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Pick nano-banana-2 over Flux or GPT image skills when flash-tier iteration, typography in-image, or web-grounded context matter more than maximum photorealism.
FAQ
What CLI command does nano-banana-2 use?
nano-banana-2 calls runcomfy run google/nano-banana-2/text-to-image through the local RunComfy CLI. The skill supplies documented prompting patterns and schema options like resolution tiers and safety tolerance.
When should developers route away from Nano Banana 2?
nano-banana-2 documents when to switch to Nano Banana Pro, GPT Image 2, Flux 2, or Seedream for higher fidelity or different strengths. The skill encodes those routing rules for agent sessions.
Is Nano Banana 2 safe to install?
skills.sh reports 1 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.