Nano Banana Edit
Wraps Google's Nano Banana 2 edit endpoint through RunComfy's CLI to preserve subject identity while swapping backgrounds, clothing, or making localized edits. The big trick here is batch consistency: you can feed up to 20 input images in one call and get coherent variations back, which is legitimately useful for SKU galleries or A/B creative tests. Prompting matters more than usual. Lead with what stays unchanged, end with the edit, and use spatial language like "background only" or "left object" instead of vague instructions. For multilingual in-image text edits you still want GPT Image 2, and for precise single-reference local edits Flux Kontext is sharper, but this handles the middle ground of identity-preserved transforms at scale.
- skills.sh installs
- 176.4K
- GitHub stars
- 11
- last updated
- Jun 3, 2026
Install
$ npx -y skills add agentspace-so/runcomfy-agent-skills --skill nano-banana-edit --agent claude-codeInstalls into .claude/skills of the current project.
Files
Nano Banana Edit — Pro Pack on RunComfy
runcomfy.com · Edit endpoint · GitHub
Google Nano Banana 2 Edit — the image-to-image edit endpoint of the Gemini-family flash-tier image model — hosted on the RunComfy Model API. Up to 20 input images per call for batch edits and multi-reference variation.
npx skills add agentspace-so/runcomfy-skills --skill nano-banana-edit -g
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- Repository
- github.com/agentspace-so/runcomfy-agent-skills
- Categories
- AI & Agent Building, Automation & Workflows
- First seen
- May 16, 2026
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