Edit up to 20 images per call with identity-preserving spatial prompts.
npx skills add https://github.com/doany-ai/skills --skill nano-banana-edit-doany-ai
Please help me install this Agent Skill. Skill: nano-banana-edit Source: https://github.com/doany-ai/skills/tree/main/nano-banana-edit Command: npx skills add https://github.com/doany-ai/skills --skill nano-banana-edit-doany-ai
Edit images with Google Nano Banana 2 Edit endpoint to preserve subject identity, swap backgrounds, and localize edits with spatial language, supporting batch edits up to 20 inputs.
Invoke the RunComfy nano banana edit workflow with your image URLs and a precise prompt.
High-intent search queries and answers about installing and using this skill.
Identity-preserving batch image edits apply subject consistency across multiple photos by submitting up to 20 image URLs in a single API call. The Nano Banana Edit endpoint processes the batch while maintaining the original subject identity.
Spatial language constrains localized edits by allowing prompts to target specific regions within an image. This enables selective modifications like background swaps or regional object changes without altering the untargeted areas.
The maximum number of images for batch editing is 20 per call. You provide the image URLs, prompt, and parameters like aspect ratio and resolution in the JSON body to process them simultaneously.
Automate image editing workflows by invoking the RunComfy nano banana edit endpoint with a JSON body. Pass image URLs, prompt, and configuration parameters to trigger automated, identity-preserving edits.
The Nano Banana edit endpoint routes to GPT Image 2 edit, Flux Kontext, or Nano Banana 2 t2i as needed. This allows specialized handling for different image generation and editing scenarios.
Required JSON parameters for spatially constrained edits include prompt, image_urls, and number_of_images. Optional fields like aspect_ratio, resolution, seed, and safety_tolerance further refine the output.
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