nano-banana-2

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Generate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream instead. Calls `runcomfy run google/nano-banana-2/text-to-image` through the local RunComfy CLI. Triggers on "nano banana", "nano-banana-2", "nano banana 2", "google image gen", "gemini image", or any explicit ask to generate with this model.

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Sourceagentspace-so/runcomfy-agent-skills
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NPX Install

npx skill4agent add agentspace-so/runcomfy-agent-skills nano-banana-2

Tags

Translated version includes tags in frontmatter
text-to-imagegoogle-geminiruncomfy-cliai-image-generationnano-banana-2

SKILL.md Content

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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.
bash
npx skills add agentspace-so/runcomfy-skills --skill nano-banana-2 -g

When 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 wantUse
Rapid drafts, social thumbnails, batch variantsNano Banana 2
In-image typography with predictable renderingNano 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 lookFlux 2
Maximum prompt adherence + multilingual textGPT Image 2
2K–4K hero shots, max realismSeedream 5
Hyperrealistic portraitNano 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

FieldTypeRequiredDefaultNotes
prompt
stringyes—Subject-first description.
num_images
intno11–4. Use 4 for ideation rounds.
seed
intno0Reuse for reproducibility.
aspect_ratio
enumno
auto
auto
, 
21:9
, 
16:9
, 
3:2
, 
4:3
, 
5:4
, 
1:1
, 
4:5
, 
3:4
, 
2:3
, 
9:16
.
resolution
enumno
1K
0.5K
(drafts), 
1K
(default), 
2K
(final), 
4K
(max).
output_format
enumno
png
png
, 
jpeg
, 
webp
.
safety_tolerance
intno41 (strict) – 6 (permissive).
limit_generations
boolnotrueLimit each prompt round to one generation.
enable_web_search
boolnofalseAdds 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):
bash
runcomfy run google/nano-banana-2/text-to-image \
  --input '{"prompt": "<user prompt>"}' \
  --output-dir <absolute/path>
Vertical 4-up batch for ideation:
bash
runcomfy run google/nano-banana-2/text-to-image \
  --input '{
    "prompt": "<user prompt>",
    "num_images": 4,
    "aspect_ratio": "9:16",
    "resolution": "0.5K"
  }' \
  --output-dir <absolute/path>
Final at 2K with seed lock:
bash
runcomfy run google/nano-banana-2/text-to-image \
  --input '{
    "prompt": "<user prompt>",
    "resolution": "2K",
    "aspect_ratio": "16:9",
    "seed": 42
  }' \
  --output-dir <absolute/path>
Web-grounded (current event / real entity):
bash
runcomfy run google/nano-banana-2/text-to-image \
  --input '{
    "prompt": "<prompt referencing a real-world event from this week>",
    "enable_web_search": true
  }' \
  --output-dir <absolute/path>

Prompting — what actually works

Subject-first declarative grammar. "A cinematic close-up portrait of an American woman standing under neon lights in rainy Tokyo, shallow depth of field, reflective wet streets, ultra-detailed, realistic skin texture" — primary subject, then action, environment, style, camera. Front-load subject; trail with directives.
Exact text quoting for in-image typography. "The label reads 'AURA' in clean bold sans-serif, centered, white on black" — quote the literal characters. Specify placement and font style. Don't say "with the brand name on it" and hope.
Consistent seeds for refinement. Lock 
seed
when iterating a single prompt across small variants — keeps composition stable.
Web-grounding, sparingly. Turn on 
enable_web_search
only when the prompt names current events / real entities. Adds latency + cost; off by default.
Don't conflict styles. "minimalist + ornate + retro + cyberpunk" cancels. Pick 1–2 anchors.
Anti-patterns:
  • Trying to verbally describe a stable subject identity — use the edit endpoint with image refs instead.
  • Asking for resolutions outside the 4 tiers → 422.
  • Aspect ratios outside the 11 supported values → 422.
  • Non-quoted in-image text → unpredictable rendering.

Where it shines

Use caseWhy Nano Banana 2
Marketing draft thumbnails (batch of 4)Fast iteration at 0.5K, then promote winner to 2K
Social-platform-nativeWide aspect ratio support including 9:16, 4:5, 21:9
In-image typography for posters / cardsPredictable text rendering when characters are quoted
Web-grounded current-event imagery
enable_web_search
integrates fresh info
Reproducible variant testingStrong seed + consistent framing

Sample prompts (verified to produce strong results)

Cinematic portrait (page example):
A cinematic close-up portrait of an American woman standing under neon
lights in rainy Tokyo, shallow depth of field, reflective wet streets,
ultra-detailed, realistic skin texture
Brand-asset card with quoted text:
A minimalist 16:9 product card: a matte black ceramic mug centered on a
soft warm-grey paper background, rim highlight from upper-left, the
headline "Brewed Quietly" in clean bold sans-serif top-right, balanced
negative space below, e-commerce ready, clean studio lighting
Vertical platform-native:
A 9:16 vertical hero for a wellness brand: a single ceramic teacup on a
linen runner, soft morning side-light, the words "Slow Down" in
hand-drawn serif large at the top, gentle steam rising, neutral color
palette, uncluttered

Limitations

  • Still images only. No video on this endpoint.
  • Max 4 outputs per request.
  • Web search adds latency + cost — only enable on demand.
  • 2K / 4K cost more — default to 1K unless user asked for higher.
  • For image edit, use the 
    /edit
    endpoint     — not this one.

Exit codes

codemeaning
0success
64bad CLI args
65bad input JSON / schema mismatch
69upstream 5xx
75retryable: timeout / 429
77not signed in or token rejected
Full reference: docs.runcomfy.com/cli/troubleshooting.

How it works

The skill invokes 
runcomfy run google/nano-banana-2/text-to-image
with a JSON body matching the schema. The CLI POSTs to 
https://model-api.runcomfy.net/v1/models/google/nano-banana-2/text-to-image
, polls the request, fetches the result, and downloads any 
.runcomfy.net
/
.runcomfy.com
URL into 
--output-dir
. 
Ctrl-C
cancels the remote request before exit.

Security & Privacy

  • Token storage: 
    runcomfy login
    writes the API token to 
    ~/.config/runcomfy/token.json
    with mode 0600 (owner-only read/write). Set 
    RUNCOMFY_TOKEN
    env var to bypass the file entirely in CI / containers.
  • Input boundary: the user prompt is passed as a JSON string to the CLI via 
    --input
    . The CLI does NOT shell-expand the prompt; it transmits the JSON body directly to the Model API over HTTPS. No shell injection surface from prompt content.
  • Third-party content: image / mask / video URLs you pass are fetched by the RunComfy model server, not by the CLI on your machine. Treat external URLs as untrusted; image-based prompt injection is a known risk for any image-edit / video-edit model.
  • Outbound endpoints: only 
    model-api.runcomfy.net
    (request submission) and 
    *.runcomfy.net
    / 
    *.runcomfy.com
    (download whitelist for generated outputs). No telemetry, no callbacks.
  • Generated-file size cap: the CLI aborts any single download > 2 GiB to prevent disk-fill from a malicious or runaway model output.